Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study

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The figure assesses the distribution of PaO2 for different timepoints during the first 48 h for patients divided in two groups according to PaO2 levels: in red patients with normoxiemia (PaO2 0–48≤100 mmHg) and in blue patients with hyperoxiemia (PaO2 0–48>100 mmHg). The horizontal line in the boxes indicates the median, the top and bottom of the box the interquartile range, and I bars the 5th and 95th percentile range." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "G. Catalisano, M. Ippolito, A. Blanda, J. Meessen, A. Giarratano, N. Todesco, V. Bonato, F. Restuccia, J. Montomoli, G. Fiore, G. Grasselli, P. Caironi, R. Latini, A. Cortegiani" "autores" => array:14 [ 0 => array:2 [ "nombre" => "G." "apellidos" => "Catalisano" ] 1 => array:2 [ "nombre" => "M." "apellidos" => "Ippolito" ] 2 => array:2 [ "nombre" => "A." "apellidos" => "Blanda" ] 3 => array:2 [ "nombre" => "J." "apellidos" => "Meessen" ] 4 => array:2 [ "nombre" => "A." 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Schmitt, E. Marchiori" "autores" => array:2 [ 0 => array:2 [ "nombre" => "W." "apellidos" => "Schmitt" ] 1 => array:2 [ "nombre" => "E." "apellidos" => "Marchiori" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2531043720300842?idApp=UINPBA00004E" "url" => "/25310437/unassign/S2531043720300842/v2_202103160709/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "Original article" "titulo" => "Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "K. Zhou, F. Wu, N. Zhao, Y. Zheng, Z. Deng, H. Yang, X. Wen, S. Xiao, C. Yang, S. Chen, Y. Zhou, P. Ran" "autores" => array:13 [ 0 => array:3 [ "nombre" => "K." "apellidos" => "Zhou" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:2 [ "etiqueta" => "1" "identificador" => "fn1" ] ] ] 1 => array:3 [ "nombre" => "F." "apellidos" => "Wu" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:2 [ "etiqueta" => "1" "identificador" => "fn1" ] ] ] 2 => array:3 [ "nombre" => "N." "apellidos" => "Zhao" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 3 => array:3 [ "nombre" => "Y." "apellidos" => "Zheng" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 4 => array:3 [ "nombre" => "Z." "apellidos" => "Deng" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 5 => array:3 [ "nombre" => "H." "apellidos" => "Yang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 6 => array:3 [ "nombre" => "X." "apellidos" => "Wen" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 7 => array:3 [ "nombre" => "S." "apellidos" => "Xiao" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] ] ] 8 => array:3 [ "nombre" => "C." "apellidos" => "Yang" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "c" "identificador" => "aff0003" ] ] ] 9 => array:3 [ "nombre" => "S." "apellidos" => "Chen" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "d" "identificador" => "aff0004" ] ] ] 10 => array:4 [ "nombre" => "Y." "apellidos" => "Zhou" "email" => array:1 [ 0 => "zhouyumin410@126.com" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0001" ] ] ] 11 => array:4 [ "nombre" => "P." "apellidos" => "Ran" "email" => array:1 [ 0 => "pxran@gzhmu.edu.cn" ] "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:2 [ "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:2 [ "etiqueta" => "*" "identificador" => "cor0001" ] ] ] 12 => array:1 [ "colaborador" => "ECOPD study investigators" ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China" "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:3 [ "entidad" => "Guangzhou Laboratory, Bio-island, Guangzhou, China" "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:3 [ "entidad" => "Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, China" "etiqueta" => "c" "identificador" => "aff0003" ] 3 => array:3 [ "entidad" => "Medical Imaging Center, Wengyuan County People's Hospital, Shaoguan, China" "etiqueta" => "d" "identificador" => "aff0004" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0001" "etiqueta" => "⁎" "correspondencia" => "Corresponding authors at: State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Xi Road, Guangzhou 510120, China." ] ] ] ] "textoCompleto" => "IntroductionChronic obstructive pulmonary disease (COPD) is one of the most common chronic respiratory diseases. It is characterized by persistent airflow limitation and is associated with extrapulmonary comorbidities such as heart disease, osteoporosis, diabetes, and muscle wasting.<a class="elsevierStyleCrossRef" href="#bib0001">1</a> With an increased understanding of extrapulmonary comorbidities, we are now aware that muscle wasting is associated with quality of life and mortality.<a class="elsevierStyleCrossRefs" href="#bib0002">2–4</a> The body mass index (BMI) is commonly used to clinically assess muscle wasting in patients with COPD; however, it reflects wasting of tissues including muscle, bone, and fat, which is not simultaneously accompanied by a corresponding loss in muscle wasting.<a class="elsevierStyleCrossRefs" href="#bib0005">5–8</a> Additionally, the BMI does not accurately reflect muscle wasting in patients with COPD.<a class="elsevierStyleCrossRef" href="#bib0008">8</a> One study showed that the pectoralis muscle area (PMA) quantified by computed tomography (CT) at full-inspiration at the level of the aortic arch was more effective than the BMI in the assessment of muscle wasting.<a class="elsevierStyleCrossRef" href="#bib0009">9</a> The PMA on CT plays an important role in the assessment of muscle and muscle wasting in patients with COPD.<a class="elsevierStyleCrossRef" href="#bib0009">9</a>,<a class="elsevierStyleCrossRef" href="#bib0010">10</a>A small-sample study showed that the PMA was significantly smaller in patients with Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 3 (severe) or 4 (very severe) COPD, but not GOLD stage 2 (moderate) COPD, than in subjects with normal spirometry.<a class="elsevierStyleCrossRef" href="#bib0010">10</a> Whether the PMA is smaller in patients with GOLD stage 1 (mild) or 2 COPD than in subjects with normal spirometry remains unclear. To our knowledge, there are no studies on the associations between the PMA and respiratory symptoms, lung function, and CT imaging. Although the PMA is specifically associated with all-cause mortality in patients with COPD, whether it is associated with the annual decline in lung function and exacerbations in these patients remains unclear.In view of this evidence gap, we conducted the present study aimed to evaluate the presence of PMA reduction in COPD and to clarify its association with airflow limitation severity, respiratory symptoms, lung function, CT imaging, lung function decline, and exacerbations.MethodsStudy design and subjectsThe Early Chronic Obstructive Pulmonary Disease (ECOPD) study (ChiCTR1900024643) is a multicenter cohort study that initially enrolled about 2000 subjects.<a class="elsevierStyleCrossRef" href="#bib0011">11</a> The subjects in the current analysis were the first 1352 subjects who returned for a second visit approximately 1 year after their initial visit (up to December 2021). The key inclusion criteria were aged of 40 to 80 years, completion of the questionnaire interview, and complete quality-control spirometry and CT. The key exclusion criteria were acute exacerbation occurring within 4 weeks before study participation; chest, abdominal, or eye surgery within 3 months prior to screening; heart damage within 3 months before screening; and active pulmonary tuberculosis or malignant tumors. Finally, this study included 1352 subjects for baseline analysis (685 with spirometry-defined COPD and 667 with normal spirometry). Subjects included in the baseline analysis were followed up for 1 year until December 2021.Written informed consent was obtained from all subjects prior to screening. The ECOPD study was approved by the Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University (No.2018-53). This present study was in line with the principles of the Declaration of Helsinki.High-resolution computed tomographyHigh-resolution CT was performed following the previously published protocol,<a class="elsevierStyleCrossRef" href="#bib0011">11</a> using a multidetector-row CT scanner (Siemens Definition AS Plus 128-slicer CT system; Siemens Healthineers, Erlangen, Germany and uCT 760 128-slicers CT system; United Imaging, Shanghai, China). The Parameters and acquisition details of CT images have been published previously.<a class="elsevierStyleCrossRef" href="#bib0011">11</a> The CT images were quantitatively assessed using the Chest Imaging Platform (<a href="http://www.chestimagingplatform.org">www.chestimagingplatform.org</a>) on the 3D Slicer 4.11 software (<a href="http://www.slicer.org">www.slicer.org</a>).<a class="elsevierStyleCrossRef" href="#bib0012">12</a> The PMA was quantified in inspiratory CT at the level of the aortic arch by the software using predefined −50 and 90 Hounsfield unit (HU) attenuation ranges.<a class="elsevierStyleCrossRef" href="#bib0010">10</a> The left and right pectoralis major muscles and pectoralis minor muscles were identified, and their areas (cm2) were measured. The PMA was presented as the aggregate area of the left and right pectoralis major and minor muscles assessed in the axial plane. Emphysema was defined by the percentage of low-attenuation areas below −950 HU in full-inspiratory CT (inspiratory LAA-950). Air trapping was defined by the percentage of low-attenuation areas below −856 HU in expiratory CT (expiratory LAA-856).<a class="elsevierStyleCrossRef" href="#bib0013">13</a>QuestionnaireA questionnaire interview was performed by well-trained staff. The standard respiratory epidemiological questionnaire in this study was modified from a COPD epidemiological study in China.<a class="elsevierStyleCrossRef" href="#bib0014">14</a> The smoking status was classified as never smoker, ex-smoker, and current smoker. Never smoker was defined as having smoked <100 cigarettes over a lifetime. Ex-smoker was defined as having smoked >100 cigarettes but having not smoked within the last 6 months at baseline. Current smoker was defined as smoking at baseline. The smoking index was defined as smoking years multiplied by the daily number of packs of cigarettes. Biomass exposure was defined as cooking or heating using biomass such as crop residues and wood for >1 year.<a class="elsevierStyleCrossRef" href="#bib0015">15</a> Occupational history of dust/gasses/fumes was defined as engagement in occupational exposure to dust/gasses/fumes for >1 year over a lifetime. Family history of respiratory diseases was defined as having parents, siblings, and/or children diagnosed with respiratory diseases by doctors (chronic bronchitis, emphysema, asthma, COPD, cor pulmonale, bronchiectasis, lung tumor, interstitial lung disease, or obstructive sleep apnea hypopnea syndrome). Respiratory symptoms were assessed using the modified British Medical Research Council (mMRC) dyspnea scale and COPD Assessment Test (CAT) score.<a class="elsevierStyleCrossRef" href="#bib0016">16</a> Acute respiratory events or exacerbations were defined as new onset or aggravation of at least two of the following five symptoms: cough, sputum production, purulent sputum, wheezing, and dyspnea persisting for at least 48 h, excluding left and right heart insufficiency, pulmonary embolism, pneumothorax, pleural effusion, and arrhythmia.<a class="elsevierStyleCrossRef" href="#bib0017">17</a>,<a class="elsevierStyleCrossRef" href="#bib0018">18</a> The severity of acute exacerbations of COPD was assessed and recorded by well-trained staff according to the following categories. Mild exacerbations were defined as those resulting in domiciliary management with COPD medications alone. Moderate exacerbations were defined as those resulting in outpatient or emergency department visits and the need for COPD medication. Severe exacerbations were defined as those resulting in hospitalization.SpirometrySpirometry was performed following the normative operation methods and standard quality-control principles recommended by the American Thoracic Society and Europe Respiratory Society.<a class="elsevierStyleCrossRef" href="#bib0019">19</a>,<a class="elsevierStyleCrossRef" href="#bib0020">20</a> We used a MasterScreen Pneumo PC spirometer (CareFusion, Yorba Linda, CA, USA) for spirometry measurements. Each subject needed to fit at least three acceptable measurement values and two repeatable measurement values (i.e., maximum and sub-maximum of forced vital capacity [FVC] and forced expiratory volume in 1 s [FEV1] within 150 mL or 5%). The post-bronchodilator test was performed 20 min after inhalation of a bronchodilator (400 μg salbutamol [Ventolin; GlaxoSmithKline, UK]). We defined spirometry-defined COPD and airflow limitation severity according to the GOLD Report.<a class="elsevierStyleCrossRef" href="#bib0001">1</a> Subjects with a post-bronchodilator FEV1/FVC of ≥0.70 and FEV1% predicted of ≥80% were defined as having normal spirometry, and subjects with a post-bronchodilator FEV1/FVC of <0.70 were defined as having spirometry-defined COPD. We used the reference values of the European Coal and Steel Community 1993 for the FEV1% predicted, adjusted using conversion factors for the Chinese population (men, 0.95 and women, 0.93).<a class="elsevierStyleCrossRef" href="#bib0021">21</a>,<a class="elsevierStyleCrossRef" href="#bib0022">22</a> The airflow limitation severity was classified as GOLD stages 1 to 4 using the post-bronchodilator FEV1% predicted (≥ 80%, ≥ 50% to < 80%, ≥ 30% to < 50%, and < 30%, respectively).<a class="elsevierStyleCrossRef" href="#bib0001">1</a>Statistical analysesContinuous variable with a normal distribution was expressed as mean ± standard deviation, and continuous variable with a non-normal distribution was expressed as median (interquartile range). Discontinuous variable was expressed as n (%). We evaluated the differences between the two groups using a two-sample t-test, chi-square test, or Fisher's exact test as required. Multivariate linear regression analyses were used to assess the PMA and airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping after adjusting for confounding factors (i.e., age, sex, BMI, smoking status, smoking index, biomass exposure, family history of respiratory disease, and occupational history of dusts/gasses/fumes). Meantime, the GOLD ABE classification was used to assess the association of PMA and disease severity as a sensitivity analysis.<a class="elsevierStyleCrossRef" href="#bib0001">1</a> Multivariate linear regression analysis was used to evaluate the PMA and the annual decline in lung function after adjustment. Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and acute respiratory events/exacerbations adjusted by confounding factors. We repeated the above analyses for the pectoralis major muscle area and pectoralis minor muscle area. Statistical analyses were performed using SPSS 25.0 software (IBM Corp., Armonk, NY, USA). Two-sided P values of <0.05 indicated statistical significance.Results<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a> shows the subjects’ baseline characteristics (normal spirometry, n=667; spirometry-defined COPD, n=685).<elsevierMultimedia ident="tbl0001"></elsevierMultimedia>PMA was associated with airflow limitation severity<a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a> shows the association of the PMA with airflow limitation severity. The PMA was monotonically lower with progressive airflow limitation severity after adjusting for confounding factors (vs. normal spirometry; GOLD 1: β=−1.27, 95% confidence interval [CI], −2.41 to −0.14, P=0.028; GOLD 2: β=−2.29, 95%CI, −3.48 to −1.11, P<0.001; GOLD 3: β=−4.88, 95%CI, −6.94 to −2.83, P<0.001; GOLD 4: β=−6.47, 95%CI, −11.61 to −1.33, P=0.014). Age, sex, BMI, and smoking index were respectively associated with the PMA (all P<0.05). A similarly negative association was found in the pectoralis major muscle area and pectoralis minor muscle area, and in the GOLD ABE classification (Supplementary Table 1).<elsevierMultimedia ident="tbl0002"></elsevierMultimedia>PMA was associated with respiratory symptoms and lung function<a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a> shows the associations of the PMA with respiratory symptoms and lung function. Among all subjects, the PMA was negatively associated with the mMRC score (β=−0.005, 95%CI, −0.009 to −0.001, P=0.026) and CAT score (β=−0.06, 95%CI, −0.09 to −0.02, P=0.001) after adjusting for confounding factors. The PMA was positively associated with pre-bronchodilator or post-bronchodilator lung function including the FEV1, FEV1% predicted, FVC, and FEV1/FVC (all P<0.05). A similarly positive association was found for the pectoralis major muscle area and pectoralis minor muscle area.<elsevierMultimedia ident="tbl0003"></elsevierMultimedia>PMA was associated with emphysema and air trapping<a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a> shows the association of the PMA with CT imaging. The PMA was negatively associated with emphysema (inspiratory LAA-950: β=−0.07, 95%CI, −0.10 to −0.04, P<0.001) and airflow trapping (expiratory LAA-856: β=−0.24, 95%CI, −0.35 to −0.12, P<0.001) in CT-quantitated imaging adjustment for confounding variables. The addition of the adjustment for confounding factors did not substantively alter the association between emphysema or air trapping and the pectoralis major or minor muscle area.PMA and 1-year respiratory outcomesOf 685 subjects with spirometry-defined COPD, 593 had 1-year of spirometry measurements (follow-up rate, 87%) and 618 had 1-year of complete exacerbation assessment data (follow-up rate, 90%). Of 667 subjects with normal spirometry, 563 had 1-year of follow-up spirometry measurements (follow-up rate, 84%) and 622 had 1-year follow-up acute respiratory event assessment data (follow-up rate, 93%). The results are displayed in <a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a>. A multivariable linear regression analysis model was used to explore the relationship between the PMA and the annual decline in lung function. The PMA was associated with a reduced annual decline of post-bronchodilator FEV1% predicted (β=0.022, 95%CI, 0.008 to 0.035, P=0.002) after adjusting for confounding factors. After the 1-year follow-up, the PMA was not associated with the annual rate of exacerbations (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 5</a>).<elsevierMultimedia ident="tbl0004"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia>DiscussionOur study demonstrated that the PMA was significantly associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping after adjusting for confounding factors. Similar associations were discovered in the pectoralis major and minor muscle area. During the 1-year follow-up, the PMA was associated with an annual decline of the post-bronchodilator FEV1% predicted.Previous studies have only revealed reduced pectoral muscle in patients with severe and very severe airflow limitation compared with controls.<a class="elsevierStyleCrossRef" href="#bib0010">10</a>,<a class="elsevierStyleCrossRef" href="#bib0023">23</a> To our knowledge, this is the first study to show a reduced PMA in patients with mild or moderate airflow limitation, thus expanding the knowledge base in this field. Patients with mild or moderate airflow limitation have a reduced PMA, indicating not only worse lung function than individuals with normal spirometry but also extrapulmonary changes. We adjusted for age, sex, BMI, smoking status, smoking index, biomass exposure, family history, and occupational history using multivariate multiple linear regression when exploring the association between the PMA and airflow limitation severity. Therefore, the results of this study are convincing.In the cross-sectional analysis, we consistently found that the PMA was associated with various aspects of COPD assessment, including airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping. These results suggest that measurement of the PMA can assist with COPD assessment. However, the current measurement of the PMA still requires doctors to manually import CT images into software. Thus, if the number of measurements is large, the workload will be large. This measurement method is not suitable for routine assessment of COPD. Automated cutting, extraction, and measurement of pectoralis muscles based on deep learning techniques are currently in development.<a class="elsevierStyleCrossRef" href="#bib0024">24</a> These techniques are expected to further incorporate pectoralis muscles into the routine assessment of COPD.We also found that the PMA was associated with one indicator of the annual decline in lung function. This result indicates that the PMA is a potential prognostic marker in patients with COPD. We found no association between the PMA of community-based patients with COPD and exacerbations in 1-year follow-up results, possibly because of their lower occurrence of exacerbations than the hospital-based patients with COPD. Previous studies showed that severe exacerbations in patients with COPD were associated with respiratory muscle weakness.<a class="elsevierStyleCrossRef" href="#bib0025">25</a>,<a class="elsevierStyleCrossRef" href="#bib0026">26</a>Another innovative aspect of this study is the sensitivity analysis of the pectoralis major and minor muscles. Our results indicated that either the pectoralis major muscle or pectoralis minor muscle is an important indicator of the patients' nutritional status, and their reductions are synchronous.This study had several strengths. The major strength is that it was a prospective, large-sample, population-based study including subjects with normal spirometry and patients with COPD. A population-based study is better suitable for investigation of the initiation of disease than studies involving hospital-sourced patients. Additionally, participants who had never smoked were included in this study. Therefore, the conclusions of this study can be better extrapolated than the results of previous studies involving only heavy smokers.This study also had some potential limitations. First, 3D Slicer software was used to measure the PMA in this study, but not the pectoralis muscle density. We did not have pectoralis muscle density measurements and could not assess the association between pectoralis muscle density and airflow limitation severity. However, a previous phantom study showed that measures of muscle area were more reliable than measures of muscle density.<a class="elsevierStyleCrossRef" href="#bib0027">27</a> Therefore, the absence of pectoral muscle density measurements is unlikely to have affected the clinical significance of our study findings. Second, the follow-up period of this study was 1 year, which may have been insufficient to assess the association of the PMA with lung function decline and exacerbation. Finally, the number of patients with GOLD stage 3 and 4 COPD was limited because of the enrollment of subjects from the community.ConclusionIn summary, patients with mild or moderate airflow limitation had a reduced PMA. The PMA was associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping. Similar results were found for the pectoralis major and minor muscle areas. The PMA was associated with the annual decline in lung function but not with exacerbation. Further studies are needed to clarify that relationship.Ethical approval and consent to participateThe study was approved by the Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University (No. 2018-53), and written informed consent was obtained from all participants.Data sharing statementWith the permission of the corresponding authors, we can provide participant data without names and identifiers. The corresponding authors have the right to decide whether to share the data based on the research objectives and plan provided.CRediT authorship contribution statementK. Zhou: Conceptualization, Supervision, Formal analysis, Data curation, Writing – review & editing, Writing – original draft. F. Wu: Conceptualization, Supervision, Formal analysis, Data curation, Writing – review & editing, Writing – original draft. N. Zhao: Writing – review & editing, Writing – original draft. Y. Zheng: Writing – review & editing, Writing – original draft. Z. Deng: Writing – review & editing, Writing – original draft. H. Yang: Writing – review & editing, Writing – original draft. X. Wen: Writing – review & editing, Writing – original draft. S. Xiao: Writing – review & editing, Writing – original draft. C. Yang: Writing – review & editing, Writing – original draft. S. Chen: Writing – review & editing, Writing – original draft. Y. Zhou: Conceptualization, Supervision, Formal analysis, Data curation, Writing – review & editing, Writing – original draft. P. Ran: Conceptualization, Supervision, Formal analysis, Data curation, Writing – review & editing, Writing – original draft." "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres1860462" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abss0001" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abss0002" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abss0003" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abss0004" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1617163" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "sec0001" "titulo" => "Introduction" ] 3 => array:3 [ "identificador" => "sec0002" "titulo" => "Methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0003" "titulo" => "Study design and subjects" ] 1 => array:2 [ "identificador" => "sec0004" "titulo" => "High-resolution computed tomography" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Questionnaire" ] 3 => array:2 [ "identificador" => "sec0006" "titulo" => "Spirometry" ] 4 => array:2 [ "identificador" => "sec0007" "titulo" => "Statistical analyses" ] ] ] 4 => array:3 [ "identificador" => "sec0008" "titulo" => "Results" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0009" "titulo" => "PMA was associated with airflow limitation severity" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "PMA was associated with respiratory symptoms and lung function" ] 2 => array:2 [ "identificador" => "sec0011" "titulo" => "PMA was associated with emphysema and air trapping" ] 3 => array:2 [ "identificador" => "sec0012" "titulo" => "PMA and 1-year respiratory outcomes" ] ] ] 5 => array:2 [ "identificador" => "sec0013" "titulo" => "Discussion" ] 6 => array:2 [ "identificador" => "sec0014" "titulo" => "Conclusion" ] 7 => array:2 [ "identificador" => "sec0015" "titulo" => "Ethical approval and consent to participate" ] 8 => array:2 [ "identificador" => "sec0016" "titulo" => "Data sharing statement" ] 9 => array:2 [ "identificador" => "sec0016a" "titulo" => "CRediT authorship contribution statement" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2022-07-04" "fechaAceptado" => "2023-02-10" "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1617163" "palabras" => array:3 [ 0 => "Pectoralis muscle area" 1 => "Chronic obstructive pulmonary disease" 2 => "Computed tomography" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "BackgroundPrevious studies have shown that patients with chronic obstructive pulmonary disease (COPD) of severe or very severe airflow limitation have a reduced pectoralis muscle area (PMA), which is associated with mortality. However, whether patients with COPD of mild or moderate airflow limitation also have a reduced PMA remains unclear. Additionally, limited evidence is available regarding the associations between PMA and respiratory symptoms, lung function, computed tomography (CT) imaging, lung function decline, and exacerbations. Therefore, we conducted this study to evaluate the presence of PMA reduction in COPD and to clarify its associations with the referred variables. MethodsThis study was based on the subjects enrolled from July 2019 to December 2020 in the Early Chronic Obstructive Pulmonary Disease (ECOPD) study. Data including questionnaire, lung function, and CT imaging were collected. The PMA was quantified on full-inspiratory CT at the aortic arch level using predefined -50 and 90 Hounsfield unit attenuation ranges. Multivariate linear regression analyses were performed to assess the association between the PMA and airflow limitation severity, respiratory symptoms, lung function, emphysema, air trapping, and the annual decline in lung function. Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and exacerbations after adjustment. ResultsWe included 1352 subjects at baseline (667 with normal spirometry, 685 with spirometry-defined COPD). The PMA was monotonically lower with progressive airflow limitation severity of COPD after adjusting for confounders (vs. normal spirometry; Global Initiative for Chronic Obstructive Lung Disease [GOLD] 1: β=-1.27, P=0.028; GOLD 2: β=-2.29, P<0.001; GOLD 3: β=-4.88, P<0.001; GOLD 4: β=-6.47, P=0.014). The PMA was negatively associated with the modified British Medical Research Council dyspnea scale (β=-0.005, P=0.026), COPD Assessment Test score (β=-0.06, P=0.001), emphysema (β=-0.07, P<0.001), and air trapping (β=-0.24, P<0.001) after adjustment. The PMA was positively associated with lung function (all P<0.05). Similar associations were discovered for the pectoralis major muscle area and pectoralis minor muscle area. After the 1-year follow-up, the PMA was associated with the annual decline in the post-bronchodilator forced expiratory volume in 1 s percent of predicted value (β=0.022, P=0.002) but not with the annual rate of exacerbations or the time to first exacerbation. ConclusionPatients with mild or moderate airflow limitation exhibit a reduced PMA. The PMA is associated with airflow limitation severity, respiratory symptoms, lung function, emphysema, and air trapping, suggesting that PMA measurement can assist with COPD assessment." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abss0001" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abss0002" "titulo" => "Methods" ] 2 => array:2 [ "identificador" => "abss0003" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abss0004" "titulo" => "Conclusion" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "These authors contributed equally to this work." "identificador" => "fn1" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "<elsevierMultimedia ident="ecom0001"></elsevierMultimedia>" "etiqueta" => "Appendix" "titulo" => "Supplementary materials" "identificador" => "sec0020" ] ] ] ] "multimedia" => array:6 [ 0 => array:8 [ "identificador" => "tbl0001" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0001" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "Data are mean ± standard deviation, n (%), or median (interquartile range).Abbreviations: COPD, chronic obstructive pulmonary disease; mMRC, modified British Medical Research Council dyspnea score; CAT, COPD assessment test; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; LAA-950, low-attenuation area of the lung with attenuation values below −950 Hounsfield units on inspiratory; LAA-856, low-attenuation area of the lung with attenuation values below −856 Hounsfield units on expiratory." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Variable \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Normal spirometry (n=667) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Spirometry-defined COPD (n=685) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0005"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Age, years \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0006"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">58.0±7.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0007"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">64.8±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0009"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Male, no. (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">400 (60.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0011"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">631 (92.1) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0013"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Body mass index, kg/m2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">23.5±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">22.3±3.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Smoking status, no. (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Never smoker \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">352 (52.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">89 (13.0) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0025"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ex-smoker \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">86 (12.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">218 (31.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Current smoker \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">229 (34.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">378 (55.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Smoking index, pack-years \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">18.9±28.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">35.0±30.4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0037"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Biomass exposure, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">266 (39.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">287 (41.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Occupational history of dusts/gasses/fumes, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">116 (17.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">216 (31.5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Family history of respiratory diseases, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">69 (10.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">145 (21.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0049"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Previous medication for respiratory disease, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">73 (10.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">351 (51.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Previous diagnosis of COPD, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">17 (2.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">252 (36.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">mMRC dyspnea scale score \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.2±0.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.5±0.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0061"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CAT score \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.9±4.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.7±5.6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0065"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator FEV1, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0066"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.52±0.55 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.96±0.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0069"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator FEV1 % of predicted value, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">100.9±12.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">75.3±19.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0073"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator FVC, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.19±0.73 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.36±0.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0076"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0077"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator FEV1/FVC, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">79.3±5.6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0079"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">58.0±9.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0081"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD ABE classification, no. (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0085"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD stage A \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">595 (86.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0089"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD stage B \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0091"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">57 (8.3) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0093"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD stage E \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">33 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0097"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Airflow reversibility, n (%) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">37 (5.5) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">122 (17.8) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Inspiratory LAA−950,% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.3 (0.1–0.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0103"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.0 (0.7–5.9) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0104"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0105"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Expiratory LAA-856,% \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0106"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.6 (1.1–8.4) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0107"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">25.9 (11.7–45.2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0108"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] ] "descripcion" => array:1 [ "en" => "Clinical characteristics of the subjects at baseline." ] ] 1 => array:8 [ "identificador" => "tbl0002" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0002" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "Abbreviations: GOLD, Global Initiative for Chronic Obstructive Lung Disease; CI, confidence interval." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0109"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0110"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis muscle area<a class="elsevierStyleCrossRef" href="#tb2fn1">*</a></th><a name="en0111"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis major muscle area<a class="elsevierStyleCrossRef" href="#tb2fn1">*</a></th><a name="en0112"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis minor muscle area<a class="elsevierStyleCrossRef" href="#tb2fn1">*</a></th></tr><tr title="table-row"><a name="en0114"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb2fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0115"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0116"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0117"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb2fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0118"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0119"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0120"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb2fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0121"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0122"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0123"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Age (per 1 year) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.33, −0.22) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.22 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.26, −0.18) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0129"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.08, −0.04) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0133"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Sex (male vs. female) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0134"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">12.09 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(10.52, 13.67) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">9.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0138"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(8.56, 11.00) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0139"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0140"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.31 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0141"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(1.75, 2.87) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0142"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0143"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Body mass index (per 1 kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0144"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0145"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.79, 1.06) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0146"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0147"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.55, 0.76) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.27 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0151"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.23, 0.32) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0152"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0153"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Ex-smoker (vs. never smoker) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0154"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.58 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0155"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.31, 3.47) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0156"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0157"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0158"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.34, 2.58) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0159"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.13 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0160"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.47 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0161"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.21, 1.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0162"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.18 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0163"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Current smoker (vs. never smoker) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0165"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.45, 2.82) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0166"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.15 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0167"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.60 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0168"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.67, 1.86) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0169"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.36 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0170"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0171"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.01, 1.18) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0172"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.046 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0173"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Smoking index (per 1 pack-year) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0174"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0175"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.05, −0.01) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0177"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0178"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.03, −0.01) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0179"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.003 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0180"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.007 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0181"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.013, −0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0182"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.029 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0183"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Biomass exposure (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0184"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.13 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0185"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.71, 0.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0186"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.76 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0187"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.42, 0.88) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0189"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.48 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0190"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0191"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.40, 0.20) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0192"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.51 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0193"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Occupational history of dusts/gasses/fumes (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0194"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0195"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.87,1.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0196"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.81 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0197"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0198"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.75, 0.78) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0199"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.98 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0200"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.11 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.28, 0.53) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.55 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0203"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Family history of respiratory diseases (yes vs. no) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0204"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0205"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.93,1.35) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0206"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.72 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0207"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0208"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.80, 0.97) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0209"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.85 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0210"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0211"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.31, 0.49) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0212"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.55 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0213"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD 1 (vs. normal spirometry) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−1.27 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−2.41, −0.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0216"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.028 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0217"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0218"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−1.66, 0.10) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0219"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0220"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.49 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0221"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.89, −0.09) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0222"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0223"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD 2 (vs. normal spirometry) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0224"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−2.29 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0225"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−3.48, −1.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0226"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−1.51 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−2.42, −0.59) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0229"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0230"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.79 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0231"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−1.21, −0.36) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0232"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0233"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD 3 (vs. normal spirometry) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0234"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−4.88 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0235"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−6.94, −2.83) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0236"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0237"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−3.68 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0238"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−5.27, −2.09) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0239"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0240"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−1.21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0241"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−1.94, −0.48) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0242"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0243"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">GOLD 4 (vs. normal spirometry) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0244"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−6.47 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0245"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−11.61, −1.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0246"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.014 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0247"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−4.87 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0248"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−8.85, −0.89) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0249"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0250"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−1.60 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0251"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−3.43, 0.23) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0252"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.09 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tb2fn1" "etiqueta" => "⁎" "nota" => "Multiple linear regression models included for age, sex, body mass index, smoking status, smoking index, biomass exposure, occupational history of dusts/gasses/fumes, family history of respiratory diseases, and GOLD stage." ] 1 => array:3 [ "identificador" => "tb2fn2" "etiqueta" => "†" "nota" => "Unstandardized β was the regression coefficient in multiple linear regression analysis that represented the extent of the independent variable's influence on the dependent variable." ] ] ] "descripcion" => array:1 [ "en" => "Multivariate linear regression model for muscle measurements with airflow limitation severity (n=1352)." ] ] 2 => array:8 [ "identificador" => "tbl0003" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0003" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "Abbreviations: CI, confidence interval; mMRC, modified British Medical Research Council dyspnea score; CAT, COPD assessment test; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; LAA-950, low-attenuation area of the lung with attenuation values below −950 Hounsfield units on inspiratory; LAA-856, low-attenuation area of the lung with attenuation values below −856 Hounsfield units on expiratory." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0253"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0254"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis muscle area</th><a name="en0255"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis major muscle area</th><a name="en0256"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis minor muscle area</th></tr><tr title="table-row"><a name="en0258"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb3fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0259"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0260"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0261"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb3fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0262"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0263"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0264"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb3fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0265"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0266"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0267"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Respiratory Symptoms<a class="elsevierStyleCrossRef" href="#tb3fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0268"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0269"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0270"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0271"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0272"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0273"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0274"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0275"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0276"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0277"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">mMRC \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0278"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.005 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0279"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.009, −0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0280"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0281"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.006 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0282"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.012, −0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0283"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.030 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0284"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.009 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0285"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.022, 0.003) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0286"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.13 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0287"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">CAT \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0288"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0289"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.09, −0.02) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0290"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0291"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0292"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.11, −0.02) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0293"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.009 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0294"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0295"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.28, −0.09) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0296"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0297"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Pre-bronchodilator Lung Function<a class="elsevierStyleCrossRef" href="#tb3fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0298"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0299"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0300"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0301"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0302"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0303"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0304"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0305"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0306"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0307"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0308"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0309"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.007, 0.014) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0310"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0311"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.012 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0312"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.007, 0.017) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0313"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0314"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0315"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.016, 0.036) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0316"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0317"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1 % of predicted value, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0318"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.29 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0319"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.16, 0.43) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0320"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0321"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.35 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0322"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.18, 0.53) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0323"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0324"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.63 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0325"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.25, 1.01) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0326"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0327"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FVC, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0328"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0329"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.002, 0.011) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0330"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0331"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.008 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0332"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.002, 0.013) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0333"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.004 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0334"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.015 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0335"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.003, 0.026) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0336"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.015 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0337"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1/FVC, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0338"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.20 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0339"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.13, 0.28) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0340"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0341"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.23 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0342"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.14, 0.33) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0343"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0344"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.50 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0345"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.29, 0.71) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0346"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0347"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator Lung Function<a class="elsevierStyleCrossRef" href="#tb3fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0348"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0349"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0350"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0351"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0352"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0353"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0354"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0355"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0356"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0357"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0358"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0359"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.007, 0.014) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0360"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0361"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.012 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0362"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.007, 0.016) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0363"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0364"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0365"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.02, 0.04) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0366"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0367"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1 % of predicted value, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0368"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0369"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.15, 0.41) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0370"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0371"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.35 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0372"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.18, 0.51) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0373"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0374"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.58 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0375"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.22, 0.94) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0376"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0377"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FVC, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0378"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0379"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.002, 0.009) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0380"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0381"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.006 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0382"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.001, 0.012) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0383"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.014 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0384"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.013 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0385"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.002, 0.024) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0386"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.022 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0387"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1/FVC, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0388"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0389"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.14, 0.29) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0390"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0391"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.25 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0392"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.15, 0.34) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0393"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0394"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0395"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.3, 0.7) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0396"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0397"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Computed Tomography Imaging<a class="elsevierStyleCrossRef" href="#tb3fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0398"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0399"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0400"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0401"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0402"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0403"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0404"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0405"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0406"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0407"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Inspiratory LAA-950, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0408"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.07 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0409"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.10, −0.04) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0410"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0411"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.09 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0412"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.14, −0.05) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0413"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0414"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0415"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.21, −0.02) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0416"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.014 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0417"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Expiratory LAA-856, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0418"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.24 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0419"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.35, −0.12) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0420"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0421"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0422"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.43, −0.13) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0423"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0424"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.57 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0425"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.90, −0.24) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0426"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tb3fn1" "etiqueta" => "⁎" "nota" => "Multiple linear regression models adjusted for age, sex, body mass index, smoking status, smoking index, biomass exposure, occupational history of dusts/gasses/fumes, and family history of respiratory diseases." ] 1 => array:3 [ "identificador" => "tb3fn2" "etiqueta" => "†" "nota" => "Unstandardized β was the regression coefficient in multiple linear regression analysis that represented the extent of the independent variable's influence on the dependent variable." ] ] ] "descripcion" => array:1 [ "en" => "Association between muscle measurements and lung function, respiratory symptoms, and computed tomography imaging (n=1352)." ] ] 3 => array:8 [ "identificador" => "tbl0004" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0004" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "Abbreviations: CI, confidence interval; FEV1, forced expiratory volume in one second; FVC, forced vital capacity." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0427"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0428"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis muscle area</th></tr><tr title="table-row"><a name="en0430"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized β<a class="elsevierStyleCrossRef" href="#tb4fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0431"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0432"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0433"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Pre-bronchodilator Lung Function<a class="elsevierStyleCrossRef" href="#tb4fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0434"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0435"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0436"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0437"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0438"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.00005 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0439"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.00008, 0.00017) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0440"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0441"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1 % of predicted value, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0442"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0443"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.003, 0.007) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0444"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.48 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0445"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FVC, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0446"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.00003 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0447"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.00020, 0.00025) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0448"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.83 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0449"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1/FVC, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0450"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0451"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.002, 0.005) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0452"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.33 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0453"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Post-bronchodilator Lung Function<a class="elsevierStyleCrossRef" href="#tb4fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0454"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0455"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0456"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0457"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0458"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.00002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0459"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.00009, 0.00013) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0460"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.71 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0461"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1 % of predicted value, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0462"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.022 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0463"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.008, 0.035) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0464"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0465"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FVC, L \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0466"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.00006 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0467"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.00026, 0.00014) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0468"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.53 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0469"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">FEV1/FVC, % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0470"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0471"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(−0.001, 0.002) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0472"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tb4fn1" "etiqueta" => "⁎" "nota" => "Multiple linear regression models adjusted for age, sex, body mass index, smoking status, smoking index, biomass exposure, occupational history of dusts/gasses/fumes, family history of respiratory diseases." ] 1 => array:3 [ "identificador" => "tb4fn2" "etiqueta" => "†" "nota" => "Unstandardized β was the regression coefficient in multiple linear regression analysis that represented the extent of the independent variable's influence on the dependent variable." ] ] ] "descripcion" => array:1 [ "en" => "Association between muscle measurements and lung function annual decline (n=1156)." ] ] 4 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0005" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "Abbreviations: RR, risk ratio; CI, confidence interval; HR, hazard ratio; COPD, chronic obstructive pulmonary disease." "tablatextoimagen" => array:1 [ 0 => array:1 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0473"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black"></th><a name="en0474"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_colgroup " colspan="6" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Pectoralis muscle area</th></tr><tr title="table-row"><a name="en0476"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">RR<a class="elsevierStyleCrossRef" href="#tb5fn1">*</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0477"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95%CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0478"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0479"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">HR<a class="elsevierStyleCrossRef" href="#tb5fn2">†</a> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0480"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95%CI \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0481"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0482"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">All subjects \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0483"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0484"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0485"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0486"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0487"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0488"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0489"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Total acute respiratory events or exacerbations \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0490"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.994 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0491"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.980–1.009) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0492"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.43 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0493"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.994 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0494"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.977–1.011) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0495"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.48 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0496"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Moderate-to-severe acute respiratory events or exacerbations \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0497"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.989 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0498"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.971–1.007) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0499"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.24 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0500"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.990 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0501"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.969–1.012) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0502"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0503"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Spirometry-defined COPD Patients \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0504"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0505"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0506"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0507"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0508"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0509"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0510"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Total exacerbations \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0511"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.987 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0512"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.969–1.005) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0513"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0514"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.984 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0515"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.963–1.006) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0516"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.15 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0517"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="" valign="top">Moderate-to-severe exacerbations \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0518"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.984 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0519"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.963–1.006) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0520"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0521"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.982 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0522"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(0.956–1.009) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0523"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.18 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] ] ] "notaPie" => array:2 [ 0 => array:3 [ "identificador" => "tb5fn1" "etiqueta" => "⁎" "nota" => "Poisson regression models adjusted for age, sex, body mass index, smoking status, smoking index, biomass exposure, occupational history of dusts/gasses/fumes, family history of respiratory diseases." ] 1 => array:3 [ "identificador" => "tb5fn2" "etiqueta" => "†" "nota" => "Cox proportional hazards regression models adjusted for age, sex, body mass index, smoking status, smoking index, biomass exposure, occupational history of dusts/gasses/fumes, family history of respiratory diseases." ] ] ] "descripcion" => array:1 [ "en" => "Association between muscle measurements and exacerbations (n=1240)." ] ] 5 => array:6 [ "identificador" => "ecom0001" "tipo" => "MULTIMEDIAECOMPONENTE" "mostrarFloat" => false "mostrarDisplay" => true "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0006" "detalle" => "Image, application " "rol" => "short" ] ] "Ecomponente" => array:2 [ "fichero" => "mmc1.docx" "ficheroTamanyo" => 36224 ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec1" "bibliografiaReferencia" => array:27 [ 0 => array:3 [ "identificador" => "bib0001" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "GOLD. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease; 2023 Report. Available from: <a target="_blank" href="https://goldcopd.org/2023-gold-report-2/">https://goldcopd.org/2023-gold-report-2/</a>. Accessed December 15, 2022." ] ] ] 1 => array:3 [ "identificador" => "bib0002" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "T. Shirahata" 1 => "H. Sato" 2 => "S. Yogi" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s12931-021-01621-2" "Revista" => array:6 [ "tituloSerie" => "Respir. Res." "fecha" => "2021" "volumen" => "22" "numero" => "1" "paginaInicial" => "18" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33451329" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0003" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Pectoralis muscle area and mortality in smokers without airflow obstruction" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "A.A. Diaz" 1 => "C.H. Martinez" 2 => "R. Harmouche" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s12931-018-0771-6" "Revista" => array:6 [ "tituloSerie" => "Respir. Res." "fecha" => "2018" "volumen" => "19" "numero" => "1" "paginaInicial" => "62" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29636050" "web" => "Medline" ] ] ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0004" "etiqueta" => "4" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "B.R. Celli" 1 => "C.G. Cote" 2 => "J.M. Marin" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/NEJMoa021322" "Revista" => array:7 [ "tituloSerie" => "N. Engl. J. Med." "fecha" => "2004" "volumen" => "350" "numero" => "10" "paginaInicial" => "1005" "paginaFinal" => "1012" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/14999112" "web" => "Medline" ] ] ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0005" "etiqueta" => "5" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Sarcopenia and mortality among a population-based sample of community-dwelling older adults" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J.C. Brown" 1 => "M.O. Harhay" 2 => "M.N. Harhay" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1002/jcsm.12073" "Revista" => array:7 [ "tituloSerie" => "J. Cachexia Sarcopenia Muscle" "fecha" => "2016" "volumen" => "7" "numero" => "3" "paginaInicial" => "290" "paginaFinal" => "298" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27239410" "web" => "Medline" ] ] ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0006" "etiqueta" => "6" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Definition and classification of cancer cachexia: an international consensus" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "K. Fearon" 1 => "F. Strasser" 2 => "S.D. Anker" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/S1470-2045(10)70218-7" "Revista" => array:7 [ "tituloSerie" => "Lancet Oncol." "fecha" => "2011" "volumen" => "12" "numero" => "5" "paginaInicial" => "489" "paginaFinal" => "495" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21296615" "web" => "Medline" ] ] ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0007" "etiqueta" => "7" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Body composition changes in male patients with chronic obstructive pulmonary disease: aging or disease process?" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "L.W. Lee" 1 => "C.M. Lin" 2 => "H.C. Li" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "PLoS One" "fecha" => "2017" "volumen" => "12" "numero" => "7" ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0008" "etiqueta" => "8" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Cachexia: pathophysiology and clinical relevance" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J.E. Morley" 1 => "D.R. Thomas" 2 => "M.M. Wilson" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Am. J. Clin. Nutr." "fecha" => "2006" "volumen" => "83" "numero" => "4" "paginaInicial" => "735" "paginaFinal" => "743" ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0009" "etiqueta" => "9" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "O’Brien ME, Zou RH, Hyre N, et al. CT pectoralis muscle area is associated with DXA lean mass and correlates with emphysema progression in a tobacco-exposed cohort, Thorax 2021, <a target="_blank" href="https://doi.org/10.1136/thoraxjnl-2021-217710">https://doi.org/10.1136/thoraxjnl-2021-217710</a>. Online ahead of print." ] ] ] 9 => array:3 [ "identificador" => "bib0010" "etiqueta" => "10" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease. A cross-sectional study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "M.L. McDonald" 1 => "A.A. Diaz" 2 => "J.C. Ross" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1513/AnnalsATS.201307-229OC" "Revista" => array:7 [ "tituloSerie" => "Ann. Am. Thorac. Soc." "fecha" => "2014" "volumen" => "11" "numero" => "3" "paginaInicial" => "326" "paginaFinal" => "334" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24558953" "web" => "Medline" ] ] ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0011" "etiqueta" => "11" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Rationale and design of the Early Chronic Obstructive Pulmonary Disease (ECOPD) study in Guangdong, China: a prospective observational cohort study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "F. Wu" 1 => "Y. Zhou" 2 => "J. Peng" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.21037/jtd-21-1379" "Revista" => array:7 [ "tituloSerie" => "J. Thorac. Dis." "fecha" => "2021" "volumen" => "13" "numero" => "12" "paginaInicial" => "6924" "paginaFinal" => "6935" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/35070376" "web" => "Medline" ] ] ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0012" "etiqueta" => "12" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "3D slicer as an image computing platform for the quantitative imaging network" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "A. Fedorov" 1 => "R. Beichel" 2 => "J. Kalpathy-Cramer" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.mri.2012.05.001" "Revista" => array:7 [ "tituloSerie" => "Magn. Reson. Imaging" "fecha" => "2012" "volumen" => "30" "numero" => "9" "paginaInicial" => "1323" "paginaFinal" => "1341" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22770690" "web" => "Medline" ] ] ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0013" "etiqueta" => "13" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The role of chest computed tomography in the evaluation and management of the patient with chronic obstructive pulmonary disease" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "W.W. Labaki" 1 => "C.H. Martinez" 2 => "F.J. Martinez" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1164/rccm.201703-0451PP" "Revista" => array:7 [ "tituloSerie" => "Am. J. Respir. Crit. Care Med." "fecha" => "2017" "volumen" => "196" "numero" => "11" "paginaInicial" => "1372" "paginaFinal" => "1379" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28661698" "web" => "Medline" ] ] ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0014" "etiqueta" => "14" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Prevalence of chronic obstructive pulmonary disease in China: a large, population-based survey" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "N. Zhong" 1 => "C. Wang" 2 => "W. Yao" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1164/rccm.200612-1749OC" "Revista" => array:7 [ "tituloSerie" => "Am. J. Respir. Crit. Care Med." "fecha" => "2007" "volumen" => "176" "numero" => "8" "paginaInicial" => "753" "paginaFinal" => "760" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17575095" "web" => "Medline" ] ] ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0015" "etiqueta" => "15" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "COPD in Chinese nonsmokers" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "Y. Zhou" 1 => "C. Wang" 2 => "W. Yao" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1183/09031936.00084408" "Revista" => array:8 [ "tituloSerie" => "Eur. Respir. J." "fecha" => "2009" "volumen" => "33" "numero" => "3" "paginaInicial" => "509" "paginaFinal" => "518" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19251797" "web" => "Medline" ] ] "itemHostRev" => array:3 [ "pii" => "S1933287415003803" "estado" => "S300" "issn" => "19332874" ] ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0016" "etiqueta" => "16" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Development and first validation of the COPD assessment test" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "P.W. Jones" 1 => "G. Harding" 2 => "P. Berry" 3 => "I. Wiklund" 4 => "W.H. Chen" 5 => "N. Kline Leidy" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Eur. Respir. J." "fecha" => "2009" "volumen" => "34" "numero" => "3" "paginaInicial" => "648" "paginaFinal" => "654" ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0017" "etiqueta" => "17" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Antibiotic therapy in exacerbations of chronic obstructive pulmonary disease" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "N.R. Anthonisen" 1 => "J. Manfreda" 2 => "C.P. Warren" 3 => "E.S. Hershfield" 4 => "G.K. Harding" 5 => "N.A. Nelson" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Ann. Intern. Med." "fecha" => "1987" "volumen" => "106" "numero" => "2" "paginaInicial" => "196" "paginaFinal" => "204" ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0018" "etiqueta" => "18" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Tiotropium in early-stage chronic obstructive pulmonary disease" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "Y. Zhou" 1 => "N.S. Zhong" 2 => "X. Li" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/NEJMoa1700228" "Revista" => array:7 [ "tituloSerie" => "N. Engl. J. Med." "fecha" => "2017" "volumen" => "377" "numero" => "10" "paginaInicial" => "923" "paginaFinal" => "935" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28877027" "web" => "Medline" ] ] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0019" "etiqueta" => "19" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "General considerations for lung function testing" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "M.R. Miller" 1 => "R. Crapo" 2 => "J. Hankinson" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1183/09031936.05.00034505" "Revista" => array:7 [ "tituloSerie" => "Eur. Respir. J." "fecha" => "2005" "volumen" => "26" "numero" => "1" "paginaInicial" => "153" "paginaFinal" => "161" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15994402" "web" => "Medline" ] ] ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0020" "etiqueta" => "20" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Standardisation of spirometry" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "M.R. Miller" 1 => "J. Hankinson" 2 => "V. Brusasco" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Eur. Respir. J." "fecha" => "2005" "volumen" => "26" "numero" => "2" "paginaInicial" => "319" "paginaFinal" => "338" ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0021" "etiqueta" => "21" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Lung volumes and forced ventilatory flows. Report working party standardization of lung function tests, European community for steel and coal. Official statement of the European Respiratory Society" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "P.H. Quanjer" 1 => "G.J. Tammeling" 2 => "J.E. Cotes" 3 => "O.F. Pedersen" 4 => "R. Peslin" 5 => "J.C. Yernault" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Eur. Respir. J. Suppl." "fecha" => "1993" "volumen" => "16" "paginaInicial" => "5" "paginaFinal" => "40" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8499054" "web" => "Medline" ] ] ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0022" "etiqueta" => "22" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Normative values of pulmonary function testing in Chinese adults" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "J. Zheng" 1 => "N. Zhong" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:7 [ "tituloSerie" => "Chin. Med. J. (Engl.)" "fecha" => "2002" "volumen" => "115" "numero" => "1" "paginaInicial" => "50" "paginaFinal" => "54" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11930658" "web" => "Medline" ] ] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0023" "etiqueta" => "23" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Quantitative computed tomography assessment of pectoralis and erector spinae muscle area and disease severity in chronic obstructive pulmonary disease referred for lung volume reduction" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "A.H. Attaway" 1 => "N. Welch" 2 => "R. Yadav" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/15412555.2021.1897560" "Revista" => array:7 [ "tituloSerie" => "COPD" "fecha" => "2021" "volumen" => "18" "numero" => "2" "paginaInicial" => "191" "paginaFinal" => "200" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33736550" "web" => "Medline" ] ] ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0024" "etiqueta" => "24" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Deep learning and CT-based automated measure of pectoral muscle area and its association with aging and COPD severity [abstract]" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:5 [ 0 => "I. Dutta" 1 => "S. Nadeem" 2 => "E.A. Hoffman" 3 => "A.P. Comellas" 4 => "P.K. Saha" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "Am. J. Respir. Crit. Care Med." "fecha" => "2022" "volumen" => "205" "paginaInicial" => "A3644" ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0025" "etiqueta" => "25" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Respiratory exacerbations are associated with muscle loss in current and former smokers" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "S.E. Mason" 1 => "R. Moreta-Martinez" 2 => "W.W. Labaki" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/thoraxjnl-2020-215999" "Revista" => array:7 [ "tituloSerie" => "Thorax" "fecha" => "2021" "volumen" => "76" "numero" => "6" "paginaInicial" => "554" "paginaFinal" => "560" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33574123" "web" => "Medline" ] ] ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib0026" "etiqueta" => "26" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Global muscle dysfunction as a risk factor of readmission to hospital due to COPD exacerbations" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "J. Vilaró" 1 => "A. Ramirez-Sarmiento" 2 => "J.M. Martínez-Llorens" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.rmed.2010.05.001" "Revista" => array:7 [ "tituloSerie" => "Respir. Med." "fecha" => "2010" "volumen" => "104" "numero" => "12" "paginaInicial" => "1896" "paginaFinal" => "1902" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/20541383" "web" => "Medline" ] ] ] ] ] ] ] ] 26 => array:3 [ "identificador" => "bib0027" "etiqueta" => "27" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Reliability of skeletal muscle area measurement on CT with different parameters: a phantom study" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:3 [ 0 => "D.W. Kim" 1 => "J. Ha" 2 => "Y. Ko" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3348/kjr.2020.0914" "Revista" => array:7 [ "tituloSerie" => "Korean J. Radiol." "fecha" => "2021" "volumen" => "22" "numero" => "4" "paginaInicial" => "624" "paginaFinal" => "633" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/33569929" "web" => "Medline" ] ] ] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:2 [ "identificador" => "xack655723" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/25310437/unassign/S2531043723000399/v1_202303141614/en/main.assets" "Apartado" => null "PDF" => "https://static.elsevier.es/multimedia/25310437/unassign/S2531043723000399/v1_202303141614/en/main.pdf?idApp=UINPBA00004E&text.app=https://journalpulmonology.org/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2531043723000399?idApp=UINPBA00004E"]

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Original article

Association of pectoralis muscle area on computed tomography with airflow limitation severity and respiratory outcomes in COPD: A population-based prospective cohort study

K. Zhoua,1, F. Wua,b,1, N. Zhaoa, Y. Zhenga, Z. Denga, H. Yanga, X. Wena, S. Xiaoa, C. Yangc, S. Chend, Y. Zhoua,b,

Corresponding author

zhouyumin410@126.com

Corresponding authors at: State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Xi Road, Guangzhou 510120, China.

, P. Rana,b,

Corresponding author

pxran@gzhmu.edu.cn

Corresponding authors at: State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Xi Road, Guangzhou 510120, China.

, ECOPD study investigators

a State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

b Guangzhou Laboratory, Bio-island, Guangzhou, China

c Department of Pulmonary and Critical Care Medicine, Wengyuan County People's Hospital, Shaoguan, China

d Medical Imaging Center, Wengyuan County People's Hospital, Shaoguan, China

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            "correspondencia" => "Corresponding authors at&#58; State Key Laboratory of Respiratory Disease&#44; National Clinical Research Center for Respiratory Disease&#44; National Center for Respiratory Medicine&#44; Guangzhou Institute of Respiratory Health&#44; The First Affiliated Hospital of Guangzhou Medical University&#44; 151 Yanjiang Xi Road&#44; Guangzhou 510120&#44; China&#46;"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0007">Introduction</span><p id="para0006" class="elsevierStylePara elsevierViewall">Chronic obstructive pulmonary disease &#40;COPD&#41; is one of the most common chronic respiratory diseases&#46; It is characterized by persistent airflow limitation and is associated with extrapulmonary comorbidities such as heart disease&#44; osteoporosis&#44; diabetes&#44; and muscle wasting&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> With an increased understanding of extrapulmonary comorbidities&#44; we are now aware that muscle wasting is associated with quality of life and mortality&#46;<a class="elsevierStyleCrossRefs" href="#bib0002"><span class="elsevierStyleSup">2&#8211;4</span></a> The body mass index &#40;BMI&#41; is commonly used to clinically assess muscle wasting in patients with COPD&#59; however&#44; it reflects wasting of tissues including muscle&#44; bone&#44; and fat&#44; which is not simultaneously accompanied by a corresponding loss in muscle wasting&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">5&#8211;8</span></a> Additionally&#44; the BMI does not accurately reflect muscle wasting in patients with COPD&#46;<a class="elsevierStyleCrossRef" href="#bib0008"><span class="elsevierStyleSup">8</span></a> One study showed that the pectoralis muscle area &#40;PMA&#41; quantified by computed tomography &#40;CT&#41; at full-inspiration at the level of the aortic arch was more effective than the BMI in the assessment of muscle wasting&#46;<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a> The PMA on CT plays an important role in the assessment of muscle and muscle wasting in patients with COPD&#46;<a class="elsevierStyleCrossRef" href="#bib0009"><span class="elsevierStyleSup">9</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a></p><p id="para0007" class="elsevierStylePara elsevierViewall">A small-sample study showed that the PMA was significantly smaller in patients with Global Initiative for Chronic Obstructive Lung Disease &#40;GOLD&#41; stage 3 &#40;severe&#41; or 4 &#40;very severe&#41; COPD&#44; but not GOLD stage 2 &#40;moderate&#41; COPD&#44; than in subjects with normal spirometry&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> Whether the PMA is smaller in patients with GOLD stage 1 &#40;mild&#41; or 2 COPD than in subjects with normal spirometry remains unclear&#46; To our knowledge&#44; there are no studies on the associations between the PMA and respiratory symptoms&#44; lung function&#44; and CT imaging&#46; Although the PMA is specifically associated with all-cause mortality in patients with COPD&#44; whether it is associated with the annual decline in lung function and exacerbations in these patients remains unclear&#46;</p><p id="para0008" class="elsevierStylePara elsevierViewall">In view of this evidence gap&#44; we conducted the present study aimed to evaluate the presence of PMA reduction in COPD and to clarify its association with airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; CT imaging&#44; lung function decline&#44; and exacerbations&#46;</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0008">Methods</span><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Study design and subjects</span><p id="para0009" class="elsevierStylePara elsevierViewall">The Early Chronic Obstructive Pulmonary Disease &#40;ECOPD&#41; study &#40;ChiCTR1900024643&#41; is a multicenter cohort study that initially enrolled about 2000 subjects&#46;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> The subjects in the current analysis were the first 1352 subjects who returned for a second visit approximately 1 year after their initial visit &#40;up to December 2021&#41;&#46; The key inclusion criteria were aged of 40 to 80 years&#44; completion of the questionnaire interview&#44; and complete quality-control spirometry and CT&#46; The key exclusion criteria were acute exacerbation occurring within 4 weeks before study participation&#59; chest&#44; abdominal&#44; or eye surgery within 3 months prior to screening&#59; heart damage within 3 months before screening&#59; and active pulmonary tuberculosis or malignant tumors&#46; Finally&#44; this study included 1352 subjects for baseline analysis &#40;685 with spirometry-defined COPD and 667 with normal spirometry&#41;&#46; Subjects included in the baseline analysis were followed up for 1 year until December 2021&#46;</p><p id="para0010" class="elsevierStylePara elsevierViewall">Written informed consent was obtained from all subjects prior to screening&#46; The ECOPD study was approved by the Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University &#40;No&#46;2018-53&#41;&#46; This present study was in line with the principles of the Declaration of Helsinki&#46;</p></span><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">High-resolution computed tomography</span><p id="para0011" class="elsevierStylePara elsevierViewall">High-resolution CT was performed following the previously published protocol&#44;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> using a multidetector-row CT scanner &#40;Siemens Definition AS Plus 128-slicer CT system&#59; Siemens Healthineers&#44; Erlangen&#44; Germany and uCT 760 128-slicers CT system&#59; United Imaging&#44; Shanghai&#44; China&#41;&#46; The Parameters and acquisition details of CT images have been published previously&#46;<a class="elsevierStyleCrossRef" href="#bib0011"><span class="elsevierStyleSup">11</span></a> The CT images were quantitatively assessed using the Chest Imaging Platform &#40;<a href="http://www.chestimagingplatform.org">www&#46;chestimagingplatform&#46;org</a>&#41; on the 3D Slicer 4&#46;11 software &#40;<a href="http://www.slicer.org">www&#46;slicer&#46;org</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0012"><span class="elsevierStyleSup">12</span></a> The PMA was quantified in inspiratory CT at the level of the aortic arch by the software using predefined &#8722;50 and 90 Hounsfield unit &#40;HU&#41; attenuation ranges&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a> The left and right pectoralis major muscles and pectoralis minor muscles were identified&#44; and their areas &#40;cm<span class="elsevierStyleSup">2</span>&#41; were measured&#46; The PMA was presented as the aggregate area of the left and right pectoralis major and minor muscles assessed in the axial plane&#46; Emphysema was defined by the percentage of low-attenuation areas below &#8722;950 HU in full-inspiratory CT &#40;inspiratory LAA<span class="elsevierStyleInf">-950</span>&#41;&#46; Air trapping was defined by the percentage of low-attenuation areas below &#8722;856 HU in expiratory CT &#40;expiratory LAA<span class="elsevierStyleInf">-856</span>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0013"><span class="elsevierStyleSup">13</span></a></p></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Questionnaire</span><p id="para0012" class="elsevierStylePara elsevierViewall">A questionnaire interview was performed by well-trained staff&#46; The standard respiratory epidemiological questionnaire in this study was modified from a COPD epidemiological study in China&#46;<a class="elsevierStyleCrossRef" href="#bib0014"><span class="elsevierStyleSup">14</span></a> The smoking status was classified as never smoker&#44; ex-smoker&#44; and current smoker&#46; Never smoker was defined as having smoked &#60;100 cigarettes over a lifetime&#46; Ex-smoker was defined as having smoked &#62;100 cigarettes but having not smoked within the last 6 months at baseline&#46; Current smoker was defined as smoking at baseline&#46; The smoking index was defined as smoking years multiplied by the daily number of packs of cigarettes&#46; Biomass exposure was defined as cooking or heating using biomass such as crop residues and wood for &#62;1 year&#46;<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">15</span></a> Occupational history of dust&#47;gasses&#47;fumes was defined as engagement in occupational exposure to dust&#47;gasses&#47;fumes for &#62;1 year over a lifetime&#46; Family history of respiratory diseases was defined as having parents&#44; siblings&#44; and&#47;or children diagnosed with respiratory diseases by doctors &#40;chronic bronchitis&#44; emphysema&#44; asthma&#44; COPD&#44; cor pulmonale&#44; bronchiectasis&#44; lung tumor&#44; interstitial lung disease&#44; or obstructive sleep apnea hypopnea syndrome&#41;&#46; Respiratory symptoms were assessed using the modified British Medical Research Council &#40;mMRC&#41; dyspnea scale and COPD Assessment Test &#40;CAT&#41; score&#46;<a class="elsevierStyleCrossRef" href="#bib0016"><span class="elsevierStyleSup">16</span></a> Acute respiratory events or exacerbations were defined as new onset or aggravation of at least two of the following five symptoms&#58; cough&#44; sputum production&#44; purulent sputum&#44; wheezing&#44; and dyspnea persisting for at least 48&#160;h&#44; excluding left and right heart insufficiency&#44; pulmonary embolism&#44; pneumothorax&#44; pleural effusion&#44; and arrhythmia&#46;<a class="elsevierStyleCrossRef" href="#bib0017"><span class="elsevierStyleSup">17</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0018"><span class="elsevierStyleSup">18</span></a> The severity of acute exacerbations of COPD was assessed and recorded by well-trained staff according to the following categories&#46; Mild exacerbations were defined as those resulting in domiciliary management with COPD medications alone&#46; Moderate exacerbations were defined as those resulting in outpatient or emergency department visits and the need for COPD medication&#46; Severe exacerbations were defined as those resulting in hospitalization&#46;</p></span><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Spirometry</span><p id="para0013" class="elsevierStylePara elsevierViewall">Spirometry was performed following the normative operation methods and standard quality-control principles recommended by the American Thoracic Society and Europe Respiratory Society&#46;<a class="elsevierStyleCrossRef" href="#bib0019"><span class="elsevierStyleSup">19</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">20</span></a> We used a MasterScreen Pneumo PC spirometer &#40;CareFusion&#44; Yorba Linda&#44; CA&#44; USA&#41; for spirometry measurements&#46; Each subject needed to fit at least three acceptable measurement values and two repeatable measurement values &#40;i&#46;e&#46;&#44; maximum and sub-maximum of forced vital capacity &#91;FVC&#93; and forced expiratory volume in 1&#160;s &#91;FEV<span class="elsevierStyleInf">1</span>&#93; within 150&#160;mL or 5&#37;&#41;&#46; The post-bronchodilator test was performed 20&#160;min after inhalation of a bronchodilator &#40;400&#160;&#956;g salbutamol &#91;Ventolin&#59; GlaxoSmithKline&#44; UK&#93;&#41;&#46; We defined spirometry-defined COPD and airflow limitation severity according to the GOLD Report&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> Subjects with a post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#47;FVC of &#8805;0&#46;70 and FEV<span class="elsevierStyleInf">1</span>&#37; predicted of &#8805;80&#37; were defined as having normal spirometry&#44; and subjects with a post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#47;FVC of &#60;0&#46;70 were defined as having spirometry-defined COPD&#46; We used the reference values of the European Coal and Steel Community 1993 for the FEV<span class="elsevierStyleInf">1</span>&#37; predicted&#44; adjusted using conversion factors for the Chinese population &#40;men&#44; 0&#46;95 and women&#44; 0&#46;93&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0021"><span class="elsevierStyleSup">21</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0022"><span class="elsevierStyleSup">22</span></a> The airflow limitation severity was classified as GOLD stages 1 to 4 using the post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#37; predicted &#40;&#8805; 80&#37;&#44; &#8805; 50&#37; to &#60; 80&#37;&#44; &#8805; 30&#37; to &#60; 50&#37;&#44; and &#60; 30&#37;&#44; respectively&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a></p></span><span id="sec0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Statistical analyses</span><p id="para0014" class="elsevierStylePara elsevierViewall">Continuous variable with a normal distribution was expressed as mean &#177; standard deviation&#44; and continuous variable with a non-normal distribution was expressed as median &#40;interquartile range&#41;&#46; Discontinuous variable was expressed as n &#40;&#37;&#41;&#46; We evaluated the differences between the two groups using a two-sample t-test&#44; chi-square test&#44; or Fisher&#39;s exact test as required&#46; Multivariate linear regression analyses were used to assess the PMA and airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; and air trapping after adjusting for confounding factors &#40;i&#46;e&#46;&#44; age&#44; sex&#44; BMI&#44; smoking status&#44; smoking index&#44; biomass exposure&#44; family history of respiratory disease&#44; and occupational history of dusts&#47;gasses&#47;fumes&#41;&#46; Meantime&#44; the GOLD ABE classification was used to assess the association of PMA and disease severity as a sensitivity analysis&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> Multivariate linear regression analysis was used to evaluate the PMA and the annual decline in lung function after adjustment&#46; Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and acute respiratory events&#47;exacerbations adjusted by confounding factors&#46; We repeated the above analyses for the pectoralis major muscle area and pectoralis minor muscle area&#46; Statistical analyses were performed using SPSS 25&#46;0 software &#40;IBM Corp&#46;&#44; Armonk&#44; NY&#44; USA&#41;&#46; Two-sided P values of &#60;0&#46;05 indicated statistical significance&#46;</p></span></span><span id="sec0008" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0014">Results</span><p id="para0015" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a> shows the subjects&#8217; baseline characteristics &#40;normal spirometry&#44; n&#61;667&#59; spirometry-defined COPD&#44; n&#61;685&#41;&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><span id="sec0009" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0015">PMA was associated with airflow limitation severity</span><p id="para0016" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a> shows the association of the PMA with airflow limitation severity&#46; The PMA was monotonically lower with progressive airflow limitation severity after adjusting for confounding factors &#40;vs&#46; normal spirometry&#59; GOLD 1&#58; &#946;&#61;&#8722;1&#46;27&#44; 95&#37; confidence interval &#91;CI&#93;&#44; &#8722;2&#46;41 to &#8722;0&#46;14&#44; P&#61;0&#46;028&#59; GOLD 2&#58; &#946;&#61;&#8722;2&#46;29&#44; 95&#37;CI&#44; &#8722;3&#46;48 to &#8722;1&#46;11&#44; P&#60;0&#46;001&#59; GOLD 3&#58; &#946;&#61;&#8722;4&#46;88&#44; 95&#37;CI&#44; &#8722;6&#46;94 to &#8722;2&#46;83&#44; P&#60;0&#46;001&#59; GOLD 4&#58; &#946;&#61;&#8722;6&#46;47&#44; 95&#37;CI&#44; &#8722;11&#46;61 to &#8722;1&#46;33&#44; P&#61;0&#46;014&#41;&#46; Age&#44; sex&#44; BMI&#44; and smoking index were respectively associated with the PMA &#40;all P&#60;0&#46;05&#41;&#46; A similarly negative association was found in the pectoralis major muscle area and pectoralis minor muscle area&#44; and in the GOLD ABE classification &#40;Supplementary Table 1&#41;&#46;</p><elsevierMultimedia ident="tbl0002"></elsevierMultimedia></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016">PMA was associated with respiratory symptoms and lung function</span><p id="para0017" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a> shows the associations of the PMA with respiratory symptoms and lung function&#46; Among all subjects&#44; the PMA was negatively associated with the mMRC score &#40;&#946;&#61;&#8722;0&#46;005&#44; 95&#37;CI&#44; &#8722;0&#46;009 to &#8722;0&#46;001&#44; P&#61;0&#46;026&#41; and CAT score &#40;&#946;&#61;&#8722;0&#46;06&#44; 95&#37;CI&#44; &#8722;0&#46;09 to &#8722;0&#46;02&#44; P&#61;0&#46;001&#41; after adjusting for confounding factors&#46; The PMA was positively associated with pre-bronchodilator or post-bronchodilator lung function including the FEV<span class="elsevierStyleInf">1</span>&#44; FEV<span class="elsevierStyleInf">1</span>&#37; predicted&#44; FVC&#44; and FEV<span class="elsevierStyleInf">1</span>&#47;FVC &#40;all P&#60;0&#46;05&#41;&#46; A similarly positive association was found for the pectoralis major muscle area and pectoralis minor muscle area&#46;</p><elsevierMultimedia ident="tbl0003"></elsevierMultimedia></span><span id="sec0011" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0017">PMA was associated with emphysema and air trapping</span><p id="para0018" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a> shows the association of the PMA with CT imaging&#46; The PMA was negatively associated with emphysema &#40;inspiratory LAA<span class="elsevierStyleInf">-950</span>&#58; &#946;&#61;&#8722;0&#46;07&#44; 95&#37;CI&#44; &#8722;0&#46;10 to &#8722;0&#46;04&#44; P&#60;0&#46;001&#41; and airflow trapping &#40;expiratory LAA<span class="elsevierStyleInf">-856</span>&#58; &#946;&#61;&#8722;0&#46;24&#44; 95&#37;CI&#44; &#8722;0&#46;35 to &#8722;0&#46;12&#44; P&#60;0&#46;001&#41; in CT-quantitated imaging adjustment for confounding variables&#46; The addition of the adjustment for confounding factors did not substantively alter the association between emphysema or air trapping and the pectoralis major or minor muscle area&#46;</p></span><span id="sec0012" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0018">PMA and 1-year respiratory outcomes</span><p id="para0019" class="elsevierStylePara elsevierViewall">Of 685 subjects with spirometry-defined COPD&#44; 593 had 1-year of spirometry measurements &#40;follow-up rate&#44; 87&#37;&#41; and 618 had 1-year of complete exacerbation assessment data &#40;follow-up rate&#44; 90&#37;&#41;&#46; Of 667 subjects with normal spirometry&#44; 563 had 1-year of follow-up spirometry measurements &#40;follow-up rate&#44; 84&#37;&#41; and 622 had 1-year follow-up acute respiratory event assessment data &#40;follow-up rate&#44; 93&#37;&#41;&#46; The results are displayed in <a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a>&#46; A multivariable linear regression analysis model was used to explore the relationship between the PMA and the annual decline in lung function&#46; The PMA was associated with a reduced annual decline of post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#37; predicted &#40;&#946;&#61;0&#46;022&#44; 95&#37;CI&#44; 0&#46;008 to 0&#46;035&#44; P&#61;0&#46;002&#41; after adjusting for confounding factors&#46; After the 1-year follow-up&#44; the PMA was not associated with the annual rate of exacerbations &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0004"></elsevierMultimedia><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span></span><span id="sec0013" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0019">Discussion</span><p id="para0020" class="elsevierStylePara elsevierViewall">Our study demonstrated that the PMA was significantly associated with airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; and air trapping after adjusting for confounding factors&#46; Similar associations were discovered in the pectoralis major and minor muscle area&#46; During the 1-year follow-up&#44; the PMA was associated with an annual decline of the post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#37; predicted&#46;</p><p id="para0021" class="elsevierStylePara elsevierViewall">Previous studies have only revealed reduced pectoral muscle in patients with severe and very severe airflow limitation compared with controls&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">10</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0023"><span class="elsevierStyleSup">23</span></a> To our knowledge&#44; this is the first study to show a reduced PMA in patients with mild or moderate airflow limitation&#44; thus expanding the knowledge base in this field&#46; Patients with mild or moderate airflow limitation have a reduced PMA&#44; indicating not only worse lung function than individuals with normal spirometry but also extrapulmonary changes&#46; We adjusted for age&#44; sex&#44; BMI&#44; smoking status&#44; smoking index&#44; biomass exposure&#44; family history&#44; and occupational history using multivariate multiple linear regression when exploring the association between the PMA and airflow limitation severity&#46; Therefore&#44; the results of this study are convincing&#46;</p><p id="para0022" class="elsevierStylePara elsevierViewall">In the cross-sectional analysis&#44; we consistently found that the PMA was associated with various aspects of COPD assessment&#44; including airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; and air trapping&#46; These results suggest that measurement of the PMA can assist with COPD assessment&#46; However&#44; the current measurement of the PMA still requires doctors to manually import CT images into software&#46; Thus&#44; if the number of measurements is large&#44; the workload will be large&#46; This measurement method is not suitable for routine assessment of COPD&#46; Automated cutting&#44; extraction&#44; and measurement of pectoralis muscles based on deep learning techniques are currently in development&#46;<a class="elsevierStyleCrossRef" href="#bib0024"><span class="elsevierStyleSup">24</span></a> These techniques are expected to further incorporate pectoralis muscles into the routine assessment of COPD&#46;</p><p id="para0023" class="elsevierStylePara elsevierViewall">We also found that the PMA was associated with one indicator of the annual decline in lung function&#46; This result indicates that the PMA is a potential prognostic marker in patients with COPD&#46; We found no association between the PMA of community-based patients with COPD and exacerbations in 1-year follow-up results&#44; possibly because of their lower occurrence of exacerbations than the hospital-based patients with COPD&#46; Previous studies showed that severe exacerbations in patients with COPD were associated with respiratory muscle weakness&#46;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">25</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0026"><span class="elsevierStyleSup">26</span></a></p><p id="para0024" class="elsevierStylePara elsevierViewall">Another innovative aspect of this study is the sensitivity analysis of the pectoralis major and minor muscles&#46; Our results indicated that either the pectoralis major muscle or pectoralis minor muscle is an important indicator of the patients&#39; nutritional status&#44; and their reductions are synchronous&#46;</p><p id="para0025" class="elsevierStylePara elsevierViewall">This study had several strengths&#46; The major strength is that it was a prospective&#44; large-sample&#44; population-based study including subjects with normal spirometry and patients with COPD&#46; A population-based study is better suitable for investigation of the initiation of disease than studies involving hospital-sourced patients&#46; Additionally&#44; participants who had never smoked were included in this study&#46; Therefore&#44; the conclusions of this study can be better extrapolated than the results of previous studies involving only heavy smokers&#46;</p><p id="para0026" class="elsevierStylePara elsevierViewall">This study also had some potential limitations&#46; First&#44; 3D Slicer software was used to measure the PMA in this study&#44; but not the pectoralis muscle density&#46; We did not have pectoralis muscle density measurements and could not assess the association between pectoralis muscle density and airflow limitation severity&#46; However&#44; a previous phantom study showed that measures of muscle area were more reliable than measures of muscle density&#46;<a class="elsevierStyleCrossRef" href="#bib0027"><span class="elsevierStyleSup">27</span></a> Therefore&#44; the absence of pectoral muscle density measurements is unlikely to have affected the clinical significance of our study findings&#46; Second&#44; the follow-up period of this study was 1 year&#44; which may have been insufficient to assess the association of the PMA with lung function decline and exacerbation&#46; Finally&#44; the number of patients with GOLD stage 3 and 4 COPD was limited because of the enrollment of subjects from the community&#46;</p></span><span id="sec0014" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0020">Conclusion</span><p id="para0027" class="elsevierStylePara elsevierViewall">In summary&#44; patients with mild or moderate airflow limitation had a reduced PMA&#46; The PMA was associated with airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; and air trapping&#46; Similar results were found for the pectoralis major and minor muscle areas&#46; The PMA was associated with the annual decline in lung function but not with exacerbation&#46; Further studies are needed to clarify that relationship&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0021">Ethical approval and consent to participate</span><p id="para0028" class="elsevierStylePara elsevierViewall">The study was approved by the Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University &#40;No&#46; 2018-53&#41;&#44; and written informed consent was obtained from all participants&#46;</p></span><span id="sec0016" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0022">Data sharing statement</span><p id="para0029" class="elsevierStylePara elsevierViewall">With the permission of the corresponding authors&#44; we can provide participant data without names and identifiers&#46; The corresponding authors have the right to decide whether to share the data based on the research objectives and plan provided&#46;</p></span><span id="sec0016a" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0022a">CRediT authorship contribution statement</span><p id="para0029a" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">K&#46; Zhou&#58;</span> Conceptualization&#44; Supervision&#44; Formal analysis&#44; Data curation&#44; Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">F&#46; Wu&#58;</span> Conceptualization&#44; Supervision&#44; Formal analysis&#44; Data curation&#44; Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">N&#46; Zhao&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">Y&#46; Zheng&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">Z&#46; Deng&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">H&#46; Yang&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">X&#46; Wen&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">S&#46; Xiao&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">C&#46; Yang&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">S&#46; Chen&#58;</span> Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">Y&#46; Zhou&#58;</span> Conceptualization&#44; Supervision&#44; Formal analysis&#44; Data curation&#44; Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46; <span class="elsevierStyleBold">P&#46; Ran&#58;</span> Conceptualization&#44; Supervision&#44; Formal analysis&#44; Data curation&#44; Writing &#8211; review &#38; editing&#44; Writing &#8211; original draft&#46;</p></span></span>"
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              "titulo" => "Background"
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          "titulo" => "Introduction"
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          "titulo" => "Methods"
          "secciones" => array:5 [
            0 => array:2 [
              "identificador" => "sec0003"
              "titulo" => "Study design and subjects"
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            1 => array:2 [
              "identificador" => "sec0004"
              "titulo" => "High-resolution computed tomography"
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            2 => array:2 [
              "identificador" => "sec0005"
              "titulo" => "Questionnaire"
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              "identificador" => "sec0006"
              "titulo" => "Spirometry"
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            4 => array:2 [
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              "titulo" => "Statistical analyses"
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          "titulo" => "Results"
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              "titulo" => "PMA was associated with airflow limitation severity"
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            1 => array:2 [
              "identificador" => "sec0010"
              "titulo" => "PMA was associated with respiratory symptoms and lung function"
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              "identificador" => "sec0011"
              "titulo" => "PMA was associated with emphysema and air trapping"
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              "identificador" => "sec0012"
              "titulo" => "PMA and 1-year respiratory outcomes"
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          "titulo" => "Discussion"
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          "identificador" => "sec0015"
          "titulo" => "Ethical approval and consent to participate"
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          "identificador" => "sec0016"
          "titulo" => "Data sharing statement"
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          "titulo" => "CRediT authorship contribution statement"
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          "titulo" => "References"
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    "fechaRecibido" => "2022-07-04"
    "fechaAceptado" => "2023-02-10"
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          "clase" => "keyword"
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          "palabras" => array:3 [
            0 => "Pectoralis muscle area"
            1 => "Chronic obstructive pulmonary disease"
            2 => "Computed tomography"
          ]
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    "resumen" => array:1 [
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        "titulo" => "Abstract"
        "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0002">Background</span><p id="spara020" class="elsevierStyleSimplePara elsevierViewall">Previous studies have shown that patients with chronic obstructive pulmonary disease &#40;COPD&#41; of severe or very severe airflow limitation have a reduced pectoralis muscle area &#40;PMA&#41;&#44; which is associated with mortality&#46; However&#44; whether patients with COPD of mild or moderate airflow limitation also have a reduced PMA remains unclear&#46; Additionally&#44; limited evidence is available regarding the associations between PMA and respiratory symptoms&#44; lung function&#44; computed tomography &#40;CT&#41; imaging&#44; lung function decline&#44; and exacerbations&#46; Therefore&#44; we conducted this study to evaluate the presence of PMA reduction in COPD and to clarify its associations with the referred variables&#46;</p></span> <span id="abss0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Methods</span><p id="spara021" class="elsevierStyleSimplePara elsevierViewall">This study was based on the subjects enrolled from July 2019 to December 2020 in the Early Chronic Obstructive Pulmonary Disease &#40;ECOPD&#41; study&#46; Data including questionnaire&#44; lung function&#44; and CT imaging were collected&#46; The PMA was quantified on full-inspiratory CT at the aortic arch level using predefined -50 and 90 Hounsfield unit attenuation ranges&#46; Multivariate linear regression analyses were performed to assess the association between the PMA and airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; air trapping&#44; and the annual decline in lung function&#46; Cox proportional hazards analysis and Poisson regression analysis were used to evaluate the PMA and exacerbations after adjustment&#46;</p></span> <span id="abss0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Results</span><p id="spara022" class="elsevierStyleSimplePara elsevierViewall">We included 1352 subjects at baseline &#40;667 with normal spirometry&#44; 685 with spirometry-defined COPD&#41;&#46; The PMA was monotonically lower with progressive airflow limitation severity of COPD after adjusting for confounders &#40;vs&#46; normal spirometry&#59; Global Initiative for Chronic Obstructive Lung Disease &#91;GOLD&#93; 1&#58; &#946;&#61;-1&#46;27&#44; P&#61;0&#46;028&#59; GOLD 2&#58; &#946;&#61;-2&#46;29&#44; P&#60;0&#46;001&#59; GOLD 3&#58; &#946;&#61;-4&#46;88&#44; P&#60;0&#46;001&#59; GOLD 4&#58; &#946;&#61;-6&#46;47&#44; P&#61;0&#46;014&#41;&#46; The PMA was negatively associated with the modified British Medical Research Council dyspnea scale &#40;&#946;&#61;-0&#46;005&#44; P&#61;0&#46;026&#41;&#44; COPD Assessment Test score &#40;&#946;&#61;-0&#46;06&#44; P&#61;0&#46;001&#41;&#44; emphysema &#40;&#946;&#61;-0&#46;07&#44; P&#60;0&#46;001&#41;&#44; and air trapping &#40;&#946;&#61;-0&#46;24&#44; P&#60;0&#46;001&#41; after adjustment&#46; The PMA was positively associated with lung function &#40;all P&#60;0&#46;05&#41;&#46; Similar associations were discovered for the pectoralis major muscle area and pectoralis minor muscle area&#46; After the 1-year follow-up&#44; the PMA was associated with the annual decline in the post-bronchodilator forced expiratory volume in 1&#160;s percent of predicted value &#40;&#946;&#61;0&#46;022&#44; P&#61;0&#46;002&#41; but not with the annual rate of exacerbations or the time to first exacerbation&#46;</p></span> <span id="abss0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Conclusion</span><p id="spara023" class="elsevierStyleSimplePara elsevierViewall">Patients with mild or moderate airflow limitation exhibit a reduced PMA&#46; The PMA is associated with airflow limitation severity&#44; respiratory symptoms&#44; lung function&#44; emphysema&#44; and air trapping&#44; suggesting that PMA measurement can assist with COPD assessment&#46;</p></span>"
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        "nota" => "<p class="elsevierStyleNotepara" id="notep0001">These authors contributed equally to this work&#46;</p>"
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        ]
      ]
    ]
    "multimedia" => array:6 [
      0 => array:8 [
        "identificador" => "tbl0001"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "alt0001"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:2 [
          "leyenda" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Data are mean &#177; standard deviation&#44; n &#40;&#37;&#41;&#44; or median &#40;interquartile range&#41;&#46;</p><p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; <span class="elsevierStyleBold">COPD</span>&#44; chronic obstructive pulmonary disease&#59; <span class="elsevierStyleBold">mMRC</span>&#44; modified British Medical Research Council dyspnea score&#59; <span class="elsevierStyleBold">CAT</span>&#44; COPD assessment test&#59; <span class="elsevierStyleBold">FEV<span class="elsevierStyleInf">1</span></span>&#44; forced expiratory volume in one second&#59; <span class="elsevierStyleBold">FVC</span>&#44; forced vital capacity&#59; <span class="elsevierStyleBold">GOLD</span>&#44; Global Initiative for Chronic Obstructive Lung Disease&#59; <span class="elsevierStyleBold">LAA<span class="elsevierStyleInf">-950</span></span>&#44; low-attenuation area of the lung with attenuation values below &#8722;950 Hounsfield units on inspiratory&#59; <span class="elsevierStyleBold">LAA<span class="elsevierStyleInf">-856</span></span>&#44; low-attenuation area of the lung with attenuation values below &#8722;856 Hounsfield units on expiratory&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Variable</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Normal spirometry</span> &#40;n&#61;667&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Spirometry-defined COPD</span> &#40;n&#61;685&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="center" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">P Value</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0005"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Age&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0006"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">58&#46;0&#177;7&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0007"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">64&#46;8&#177;7&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0009"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Male&#44; no&#46; &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">400 &#40;60&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0011"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">631 &#40;92&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0013"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Body mass index&#44; kg&#47;m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">23&#46;5&#177;3&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0015"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">22&#46;3&#177;3&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0017"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Smoking status&#44; no&#46; &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0019"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0021"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Never smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">352 &#40;52&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0023"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">89 &#40;13&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0025"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Ex-smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">86 &#40;12&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0027"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">218 &#40;31&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0029"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>Current smoker&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">229 &#40;34&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0031"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">378 &#40;55&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0033"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Smoking index&#44; pack-years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">18&#46;9&#177;28&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0035"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">35&#46;0&#177;30&#46;4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0037"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Biomass exposure&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">266 &#40;39&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0039"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">287 &#40;41&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0041"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Occupational history of dusts&#47;gasses&#47;fumes&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">116 &#40;17&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0043"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">216 &#40;31&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0045"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Family history of respiratory diseases&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">69 &#40;10&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0047"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">145 &#40;21&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0048"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0049"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Previous medication for respiratory disease&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">73 &#40;10&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">351 &#40;51&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0052"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0053"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Previous diagnosis of COPD&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">17 &#40;2&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">252 &#40;36&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0056"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0057"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">mMRC dyspnea scale score&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;2&#177;0&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;5&#177;0&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0060"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0061"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">CAT score&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3&#46;9&#177;4&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">5&#46;7&#177;5&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0064"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0065"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0066"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2&#46;52&#177;0&#46;55&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;96&#177;0&#46;61&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0068"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0069"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Post-bronchodilator FEV<span class="elsevierStyleInf">1</span> &#37; of predicted value&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">100&#46;9&#177;12&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">75&#46;3&#177;19&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0072"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0073"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Post-bronchodilator FVC&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3&#46;19&#177;0&#46;73&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3&#46;36&#177;0&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0076"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0077"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Post-bronchodilator FEV<span class="elsevierStyleInf">1</span>&#47;FVC&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">79&#46;3&#177;5&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0079"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">58&#46;0&#177;9&#46;7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0080"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0081"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">GOLD ABE classification&#44; no&#46; &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0085"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>GOLD stage A&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">595 &#40;86&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0089"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>GOLD stage B&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0091"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">57 &#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0093"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleHsp" style=""></span>GOLD stage E&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">33 &#40;4&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0097"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Airflow reversibility&#44; n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">37 &#40;5&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">122 &#40;17&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0101"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Inspiratory LAA<span class="elsevierStyleInf">&#8722;950</span>&#44;&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0102"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;3 &#40;0&#46;1&#8211;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0103"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2&#46;0 &#40;0&#46;7&#8211;5&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0104"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0105"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Expiratory LAA<span class="elsevierStyleInf">-856</span>&#44;&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0106"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">3&#46;6 &#40;1&#46;1&#8211;8&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0107"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">25&#46;9 &#40;11&#46;7&#8211;45&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0108"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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          ]
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      1 => array:8 [
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        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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          0 => array:3 [
            "identificador" => "alt0002"
            "detalle" => "Table "
            "rol" => "short"
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        "tabla" => array:3 [
          "leyenda" => "<p id="spara007" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; <span class="elsevierStyleBold">GOLD</span>&#44; Global Initiative for Chronic Obstructive Lung Disease&#59; <span class="elsevierStyleBold">CI</span>&#44; confidence interval&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0109"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0110"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis muscle area</span><a class="elsevierStyleCrossRef" href="#tb2fn1">&#42;</a></th><a name="en0111"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis major muscle area</span><a class="elsevierStyleCrossRef" href="#tb2fn1">&#42;</a></th><a name="en0112"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis minor muscle area</span><a class="elsevierStyleCrossRef" href="#tb2fn1">&#42;</a></th></tr><tr title="table-row"><a name="en0114"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb2fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0115"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0116"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0117"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb2fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0118"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0119"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0120"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb2fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0121"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0122"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0123"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Age &#40;per 1 year&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;33&#44; &#8722;0&#46;22&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0126"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;26&#44; &#8722;0&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0129"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0130"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;08&#44; &#8722;0&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0133"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Sex &#40;male vs&#46; female&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0134"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">12&#46;09&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;10&#46;52&#44; 13&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">9&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0138"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;8&#46;56&#44; 11&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0139"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0140"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">2&#46;31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0141"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;1&#46;75&#44; 2&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0142"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0143"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Body mass index &#40;per 1&#160;kg&#47;m<span class="elsevierStyleSup">2</span>&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0144"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;93&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0145"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;79&#44; 1&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0146"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0147"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;65&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;55&#44; 0&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;27&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0151"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;23&#44; 0&#46;32&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0152"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0153"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Ex-smoker &#40;vs&#46; never smoker&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0154"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0155"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;31&#44; 3&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0156"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0157"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0158"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;34&#44; 2&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0159"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0160"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;47&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0161"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;21&#44; 1&#46;14&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0162"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0163"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Current smoker &#40;vs&#46; never smoker&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">1&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0165"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;45&#44; 2&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0166"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0167"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;60&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0168"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;67&#44; 1&#46;86&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0169"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0170"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;59&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0171"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;01&#44; 1&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0172"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;046</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0173"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Smoking index &#40;per 1 pack-year&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0174"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0175"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;05&#44; &#8722;0&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;002</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0177"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0178"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;03&#44; &#8722;0&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0179"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;003</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0180"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0181"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;013&#44; &#8722;0&#46;001&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0182"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;029</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0183"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Biomass exposure &#40;yes vs&#46; no&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0184"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0185"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;71&#44; 0&#46;97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0186"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;76&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0187"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;42&#44; 0&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0189"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0190"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0191"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;40&#44; 0&#46;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0192"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0193"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Occupational history of dusts&#47;gasses&#47;fumes &#40;yes vs&#46; no&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0194"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0195"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;87&#44;1&#46;11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0196"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;81&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0197"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;01&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0198"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;75&#44; 0&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0199"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;98&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0200"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;11&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;28&#44; 0&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;55&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0203"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Family history of respiratory diseases &#40;yes vs&#46; no&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0204"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0205"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;93&#44;1&#46;35&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0206"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;72&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0207"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0208"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;80&#44; 0&#46;97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0209"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0210"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0211"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;31&#44; 0&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0212"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;55&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0213"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">GOLD 1</span> &#40;vs&#46; normal spirometry&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;1&#46;27&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;2&#46;41&#44; &#8722;0&#46;14&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0216"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;028</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0217"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0218"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;1&#46;66&#44; 0&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0219"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;08&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0220"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;49&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0221"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;89&#44; &#8722;0&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0222"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;017</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0223"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">GOLD 2</span> &#40;vs&#46; normal spirometry&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0224"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;2&#46;29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0225"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;3&#46;48&#44; &#8722;1&#46;11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0226"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;1&#46;51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;2&#46;42&#44; &#8722;0&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0229"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;010</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0230"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;79&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0231"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;1&#46;21&#44; &#8722;0&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0232"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0233"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">GOLD 3</span> &#40;vs&#46; normal spirometry&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0234"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;4&#46;88&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0235"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;6&#46;94&#44; &#8722;2&#46;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0236"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0237"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;3&#46;68&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0238"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;5&#46;27&#44; &#8722;2&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0239"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0240"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;1&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0241"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;1&#46;94&#44; &#8722;0&#46;48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0242"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0243"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">GOLD 4</span> &#40;vs&#46; normal spirometry&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0244"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;6&#46;47&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0245"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;11&#46;61&#44; &#8722;1&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0246"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;014</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0247"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;4&#46;87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0248"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;8&#46;85&#44; &#8722;0&#46;89&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0249"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;017</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0250"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;1&#46;60&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0251"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;3&#46;43&#44; 0&#46;23&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0252"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;09&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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            0 => array:3 [
              "identificador" => "tb2fn1"
              "etiqueta" => "&#8270;"
              "nota" => "<p class="elsevierStyleNotepara" id="notep0001a">Multiple linear regression models included for age&#44; sex&#44; body mass index&#44; smoking status&#44; smoking index&#44; biomass exposure&#44; occupational history of dusts&#47;gasses&#47;fumes&#44; family history of respiratory diseases&#44; and GOLD stage&#46;</p>"
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            1 => array:3 [
              "identificador" => "tb2fn2"
              "etiqueta" => "&#8224;"
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          "en" => "<p id="spara004" class="elsevierStyleSimplePara elsevierViewall">Multivariate linear regression model for muscle measurements with airflow limitation severity &#40;n&#61;1352&#41;&#46;</p>"
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        "etiqueta" => "Table 3"
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        "mostrarFloat" => true
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "alt0003"
            "detalle" => "Table "
            "rol" => "short"
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        ]
        "tabla" => array:3 [
          "leyenda" => "<p id="spara011" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; <span class="elsevierStyleBold">CI</span>&#44; confidence interval&#59; <span class="elsevierStyleBold">mMRC</span>&#44; modified British Medical Research Council dyspnea score&#59; <span class="elsevierStyleBold">CAT</span>&#44; COPD assessment test&#59; <span class="elsevierStyleBold">FEV<span class="elsevierStyleInf">1</span></span>&#44; forced expiratory volume in one second&#59; <span class="elsevierStyleBold">FVC</span>&#44; forced vital capacity&#59; <span class="elsevierStyleBold">LAA<span class="elsevierStyleInf">-950</span></span>&#44; low-attenuation area of the lung with attenuation values below &#8722;950 Hounsfield units on inspiratory&#59; <span class="elsevierStyleBold">LAA<span class="elsevierStyleInf">-856</span></span>&#44; low-attenuation area of the lung with attenuation values below &#8722;856 Hounsfield units on expiratory&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:1 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0253"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0254"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis muscle area</span></th><a name="en0255"></a><th class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis major muscle area</span></th><a name="en0256"></a><th class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis minor muscle area</span></th></tr><tr title="table-row"><a name="en0258"></a><th class="td" title="\n
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                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb3fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0261"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb3fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0262"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0263"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0264"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb3fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0265"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0266"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0267"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Respiratory Symptoms</span><a class="elsevierStyleCrossRef" href="#tb3fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0270"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0271"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0273"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0274"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0275"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0276"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0277"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">mMRC&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0279"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;009&#44; &#8722;0&#46;001&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0280"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;026</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0281"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0282"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;012&#44; &#8722;0&#46;001&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0283"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;030</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0284"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;009&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0285"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;022&#44; 0&#46;003&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0286"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0287"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">CAT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0288"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0289"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;09&#44; &#8722;0&#46;02&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0290"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0291"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;06&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0292"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;11&#44; &#8722;0&#46;02&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0293"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;009</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0294"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0295"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;28&#44; &#8722;0&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0296"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0297"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Pre-bronchodilator Lung Function</span><a class="elsevierStyleCrossRef" href="#tb3fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0298"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0299"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0300"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0301"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0302"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0303"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0304"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0305"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0306"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0307"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0308"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0309"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;007&#44; 0&#46;014&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0310"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0311"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0312"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;007&#44; 0&#46;017&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0313"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0314"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0315"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;016&#44; 0&#46;036&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0316"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0317"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span> &#37; of predicted value&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0318"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0319"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;16&#44; 0&#46;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0320"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0321"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0322"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;18&#44; 0&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0323"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0324"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;63&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0325"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;25&#44; 1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0326"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0327"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FVC&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0328"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0329"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;002&#44; 0&#46;011&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0330"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;002</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0331"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0332"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;002&#44; 0&#46;013&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0333"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;004</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0334"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;015&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0335"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;003&#44; 0&#46;026&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0336"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;015</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0337"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#47;FVC&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0338"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0339"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;13&#44; 0&#46;28&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0340"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0341"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0342"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;14&#44; 0&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0343"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0344"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0345"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;29&#44; 0&#46;71&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0346"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0347"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Post-bronchodilator Lung Function</span><a class="elsevierStyleCrossRef" href="#tb3fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0348"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0349"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0350"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0351"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0352"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0353"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0354"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0355"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0356"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0357"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0358"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0359"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;007&#44; 0&#46;014&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0360"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0361"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0362"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;007&#44; 0&#46;016&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0363"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0364"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0365"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;02&#44; 0&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0366"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0367"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span> &#37; of predicted value&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0368"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0369"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;15&#44; 0&#46;41&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0370"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0371"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0372"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;18&#44; 0&#46;51&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0373"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0374"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;58&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0375"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;22&#44; 0&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0376"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;002</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0377"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FVC&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0378"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0379"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;002&#44; 0&#46;009&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0380"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;007</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0381"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0382"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;001&#44; 0&#46;012&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0383"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;014</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0384"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0385"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;002&#44; 0&#46;024&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0386"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;022</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0387"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#47;FVC&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0388"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0389"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;14&#44; 0&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">0&#46;25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0392"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;15&#44; 0&#46;34&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">0&#46;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0395"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;3&#44; 0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0396"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0397"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Computed Tomography Imaging</span><a class="elsevierStyleCrossRef" href="#tb3fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0398"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0401"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0403"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0405"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0406"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0407"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Inspiratory LAA<span class="elsevierStyleInf">-950</span>&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0408"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;07&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0409"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;10&#44; &#8722;0&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0410"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0411"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;09&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0412"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;14&#44; &#8722;0&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0413"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0414"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;12&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0415"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;21&#44; &#8722;0&#46;02&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0416"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;014</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0417"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Expiratory LAA<span class="elsevierStyleInf">-856</span>&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0418"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;24&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0419"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;35&#44; &#8722;0&#46;12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0420"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0422"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;43&#44; &#8722;0&#46;13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0423"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">&#60;0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">&#8722;0&#46;57&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0425"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;90&#44; &#8722;0&#46;24&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0426"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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          "leyenda" => "<p id="spara015" class="elsevierStyleSimplePara elsevierViewall">Abbreviations&#58; <span class="elsevierStyleBold">CI</span>&#44; confidence interval&#59; <span class="elsevierStyleBold">FEV<span class="elsevierStyleInf">1</span></span>&#44; forced expiratory volume in one second&#59; <span class="elsevierStyleBold">FVC</span>&#44; forced vital capacity&#46;</p>"
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0427"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter</th><a name="en0428"></a><th class="td-with-role" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleBold">Pectoralis muscle area</span></th></tr><tr title="table-row"><a name="en0430"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Unstandardized &#946;<a class="elsevierStyleCrossRef" href="#tb4fn2"><span class="elsevierStyleSup">&#8224;</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0431"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><a name="en0432"></a><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">P Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0433"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Pre-bronchodilator Lung Function</span><a class="elsevierStyleCrossRef" href="#tb4fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0434"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0435"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0436"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0437"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0438"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;00005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0439"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;00008&#44; 0&#46;00017&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0440"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;46&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0441"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span> &#37; of predicted value&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0442"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0443"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;003&#44; 0&#46;007&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0444"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;48&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0445"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FVC&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0446"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;00003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0447"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;00020&#44; 0&#46;00025&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0448"></a><td class="td" title="\n
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                  \t\t\t\t  " align="" valign="top">0&#46;83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0449"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#47;FVC&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0450"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0451"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;002&#44; 0&#46;005&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0452"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;33&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0453"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">Post-bronchodilator Lung Function</span><a class="elsevierStyleCrossRef" href="#tb4fn1">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0454"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0455"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0456"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0457"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span>&#44; L&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0458"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;00002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0459"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;&#8722;0&#46;00009&#44; 0&#46;00013&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0460"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;71&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0461"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV<span class="elsevierStyleInf">1</span> &#37; of predicted value&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0462"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">0&#46;022&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0463"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">&#40;0&#46;008&#44; 0&#46;035&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><a name="en0464"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top"><span class="elsevierStyleBold">0&#46;002</span>&nbsp;\t\t\t\t\t\t\n
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                  "referenciaCompleta" => "GOLD&#46; Global strategy for the diagnosis&#44; management&#44; and prevention of chronic obstructive pulmonary disease&#59; 2023 Report&#46; Available from&#58; <a target="_blank" href="https://goldcopd.org/2023-gold-report-2/">https&#58;&#47;&#47;goldcopd&#46;org&#47;2023-gold-report-2&#47;</a>&#46; Accessed December 15&#44; 2022&#46;"
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                      "titulo" => "The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD"
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                      "doi" => "10.1186/s12931-021-01621-2"
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                        "tituloSerie" => "Respir&#46; Res&#46;"
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                        "volumen" => "22"
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                            0 => "A&#46;A&#46; Diaz"
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                      "doi" => "10.1186/s12931-018-0771-6"
                      "Revista" => array:6 [
                        "tituloSerie" => "Respir&#46; Res&#46;"
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                        "numero" => "1"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/29636050"
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              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The body-mass index&#44; airflow obstruction&#44; dyspnea&#44; and exercise capacity index in chronic obstructive pulmonary disease"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "B&#46;R&#46; Celli"
                            1 => "C&#46;G&#46; Cote"
                            2 => "J&#46;M&#46; Marin"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1056/NEJMoa021322"
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                        "tituloSerie" => "N&#46; Engl&#46; J&#46; Med&#46;"
                        "fecha" => "2004"
                        "volumen" => "350"
                        "numero" => "10"
                        "paginaInicial" => "1005"
                        "paginaFinal" => "1012"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/14999112"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            4 => array:3 [
              "identificador" => "bib0005"
              "etiqueta" => "5"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sarcopenia and mortality among a population-based sample of community-dwelling older adults"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "J&#46;C&#46; Brown"
                            1 => "M&#46;O&#46; Harhay"
                            2 => "M&#46;N&#46; Harhay"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1002/jcsm.12073"
                      "Revista" => array:7 [
                        "tituloSerie" => "J&#46; Cachexia Sarcopenia Muscle"
                        "fecha" => "2016"
                        "volumen" => "7"
                        "numero" => "3"
                        "paginaInicial" => "290"
                        "paginaFinal" => "298"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/27239410"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            5 => array:3 [
              "identificador" => "bib0006"
              "etiqueta" => "6"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Definition and classification of cancer cachexia&#58; an international consensus"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "K&#46; Fearon"
                            1 => "F&#46; Strasser"
                            2 => "S&#46;D&#46; Anker"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/S1470-2045(10)70218-7"
                      "Revista" => array:7 [
                        "tituloSerie" => "Lancet Oncol&#46;"
                        "fecha" => "2011"
                        "volumen" => "12"
                        "numero" => "5"
                        "paginaInicial" => "489"
                        "paginaFinal" => "495"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21296615"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            6 => array:3 [
              "identificador" => "bib0007"
              "etiqueta" => "7"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Body composition changes in male patients with chronic obstructive pulmonary disease&#58; aging or disease process&#63;"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "L&#46;W&#46; Lee"
                            1 => "C&#46;M&#46; Lin"
                            2 => "H&#46;C&#46; Li"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:4 [
                        "tituloSerie" => "PLoS One"
                        "fecha" => "2017"
                        "volumen" => "12"
                        "numero" => "7"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            7 => array:3 [
              "identificador" => "bib0008"
              "etiqueta" => "8"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Cachexia&#58; pathophysiology and clinical relevance"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "J&#46;E&#46; Morley"
                            1 => "D&#46;R&#46; Thomas"
                            2 => "M&#46;M&#46; Wilson"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Am&#46; J&#46; Clin&#46; Nutr&#46;"
                        "fecha" => "2006"
                        "volumen" => "83"
                        "numero" => "4"
                        "paginaInicial" => "735"
                        "paginaFinal" => "743"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            8 => array:3 [
              "identificador" => "bib0009"
              "etiqueta" => "9"
              "referencia" => array:1 [
                0 => array:1 [
                  "referenciaCompleta" => "O&#8217;Brien ME&#44; Zou RH&#44; Hyre N&#44; et al&#46; CT pectoralis muscle area is associated with DXA lean mass and correlates with emphysema progression in a tobacco-exposed cohort&#44; <span class="elsevierStyleItalic">Thorax</span> 2021&#44; <a target="_blank" href="https://doi.org/10.1136/thoraxjnl-2021-217710">https&#58;&#47;&#47;doi&#46;org&#47;10&#46;1136&#47;thoraxjnl-2021-217710</a>&#46; Online ahead of print&#46;"
                ]
              ]
            ]
            9 => array:3 [
              "identificador" => "bib0010"
              "etiqueta" => "10"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Quantitative computed tomography measures of pectoralis muscle area and disease severity in chronic obstructive pulmonary disease&#46; A cross-sectional study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;L&#46; McDonald"
                            1 => "A&#46;A&#46; Diaz"
                            2 => "J&#46;C&#46; Ross"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1513/AnnalsATS.201307-229OC"
                      "Revista" => array:7 [
                        "tituloSerie" => "Ann&#46; Am&#46; Thorac&#46; Soc&#46;"
                        "fecha" => "2014"
                        "volumen" => "11"
                        "numero" => "3"
                        "paginaInicial" => "326"
                        "paginaFinal" => "334"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24558953"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            10 => array:3 [
              "identificador" => "bib0011"
              "etiqueta" => "11"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Rationale and design of the Early Chronic Obstructive Pulmonary Disease &#40;ECOPD&#41; study in Guangdong&#44; China&#58; a prospective observational cohort study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "F&#46; Wu"
                            1 => "Y&#46; Zhou"
                            2 => "J&#46; Peng"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.21037/jtd-21-1379"
                      "Revista" => array:7 [
                        "tituloSerie" => "J&#46; Thorac&#46; Dis&#46;"
                        "fecha" => "2021"
                        "volumen" => "13"
                        "numero" => "12"
                        "paginaInicial" => "6924"
                        "paginaFinal" => "6935"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/35070376"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            11 => array:3 [
              "identificador" => "bib0012"
              "etiqueta" => "12"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "3D slicer as an image computing platform for the quantitative imaging network"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "A&#46; Fedorov"
                            1 => "R&#46; Beichel"
                            2 => "J&#46; Kalpathy-Cramer"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.mri.2012.05.001"
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                        "tituloSerie" => "Magn&#46; Reson&#46; Imaging"
                        "fecha" => "2012"
                        "volumen" => "30"
                        "numero" => "9"
                        "paginaInicial" => "1323"
                        "paginaFinal" => "1341"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/22770690"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            12 => array:3 [
              "identificador" => "bib0013"
              "etiqueta" => "13"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "The role of chest computed tomography in the evaluation and management of the patient with chronic obstructive pulmonary disease"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "W&#46;W&#46; Labaki"
                            1 => "C&#46;H&#46; Martinez"
                            2 => "F&#46;J&#46; Martinez"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1164/rccm.201703-0451PP"
                      "Revista" => array:7 [
                        "tituloSerie" => "Am&#46; J&#46; Respir&#46; Crit&#46; Care Med&#46;"
                        "fecha" => "2017"
                        "volumen" => "196"
                        "numero" => "11"
                        "paginaInicial" => "1372"
                        "paginaFinal" => "1379"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28661698"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            13 => array:3 [
              "identificador" => "bib0014"
              "etiqueta" => "14"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Prevalence of chronic obstructive pulmonary disease in China&#58; a large&#44; population-based survey"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "N&#46; Zhong"
                            1 => "C&#46; Wang"
                            2 => "W&#46; Yao"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1164/rccm.200612-1749OC"
                      "Revista" => array:7 [
                        "tituloSerie" => "Am&#46; J&#46; Respir&#46; Crit&#46; Care Med&#46;"
                        "fecha" => "2007"
                        "volumen" => "176"
                        "numero" => "8"
                        "paginaInicial" => "753"
                        "paginaFinal" => "760"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17575095"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            14 => array:3 [
              "identificador" => "bib0015"
              "etiqueta" => "15"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "COPD in Chinese nonsmokers"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "Y&#46; Zhou"
                            1 => "C&#46; Wang"
                            2 => "W&#46; Yao"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1183/09031936.00084408"
                      "Revista" => array:8 [
                        "tituloSerie" => "Eur&#46; Respir&#46; J&#46;"
                        "fecha" => "2009"
                        "volumen" => "33"
                        "numero" => "3"
                        "paginaInicial" => "509"
                        "paginaFinal" => "518"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19251797"
                            "web" => "Medline"
                          ]
                        ]
                        "itemHostRev" => array:3 [
                          "pii" => "S1933287415003803"
                          "estado" => "S300"
                          "issn" => "19332874"
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            15 => array:3 [
              "identificador" => "bib0016"
              "etiqueta" => "16"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Development and first validation of the COPD assessment test"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "P&#46;W&#46; Jones"
                            1 => "G&#46; Harding"
                            2 => "P&#46; Berry"
                            3 => "I&#46; Wiklund"
                            4 => "W&#46;H&#46; Chen"
                            5 => "N&#46; Kline Leidy"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Eur&#46; Respir&#46; J&#46;"
                        "fecha" => "2009"
                        "volumen" => "34"
                        "numero" => "3"
                        "paginaInicial" => "648"
                        "paginaFinal" => "654"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            16 => array:3 [
              "identificador" => "bib0017"
              "etiqueta" => "17"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Antibiotic therapy in exacerbations of chronic obstructive pulmonary disease"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "N&#46;R&#46; Anthonisen"
                            1 => "J&#46; Manfreda"
                            2 => "C&#46;P&#46; Warren"
                            3 => "E&#46;S&#46; Hershfield"
                            4 => "G&#46;K&#46; Harding"
                            5 => "N&#46;A&#46; Nelson"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Ann&#46; Intern&#46; Med&#46;"
                        "fecha" => "1987"
                        "volumen" => "106"
                        "numero" => "2"
                        "paginaInicial" => "196"
                        "paginaFinal" => "204"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            17 => array:3 [
              "identificador" => "bib0018"
              "etiqueta" => "18"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Tiotropium in early-stage chronic obstructive pulmonary disease"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "Y&#46; Zhou"
                            1 => "N&#46;S&#46; Zhong"
                            2 => "X&#46; Li"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1056/NEJMoa1700228"
                      "Revista" => array:7 [
                        "tituloSerie" => "N&#46; Engl&#46; J&#46; Med&#46;"
                        "fecha" => "2017"
                        "volumen" => "377"
                        "numero" => "10"
                        "paginaInicial" => "923"
                        "paginaFinal" => "935"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/28877027"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            18 => array:3 [
              "identificador" => "bib0019"
              "etiqueta" => "19"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "General considerations for lung function testing"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;R&#46; Miller"
                            1 => "R&#46; Crapo"
                            2 => "J&#46; Hankinson"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1183/09031936.05.00034505"
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                        "tituloSerie" => "Eur&#46; Respir&#46; J&#46;"
                        "fecha" => "2005"
                        "volumen" => "26"
                        "numero" => "1"
                        "paginaInicial" => "153"
                        "paginaFinal" => "161"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/15994402"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            19 => array:3 [
              "identificador" => "bib0020"
              "etiqueta" => "20"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Standardisation of spirometry"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "M&#46;R&#46; Miller"
                            1 => "J&#46; Hankinson"
                            2 => "V&#46; Brusasco"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Eur&#46; Respir&#46; J&#46;"
                        "fecha" => "2005"
                        "volumen" => "26"
                        "numero" => "2"
                        "paginaInicial" => "319"
                        "paginaFinal" => "338"
                      ]
                    ]
                  ]
                ]
              ]
            ]
            20 => array:3 [
              "identificador" => "bib0021"
              "etiqueta" => "21"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Lung volumes and forced ventilatory flows&#46; Report working party standardization of lung function tests&#44; European community for steel and coal&#46; Official statement of the European Respiratory Society"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "P&#46;H&#46; Quanjer"
                            1 => "G&#46;J&#46; Tammeling"
                            2 => "J&#46;E&#46; Cotes"
                            3 => "O&#46;F&#46; Pedersen"
                            4 => "R&#46; Peslin"
                            5 => "J&#46;C&#46; Yernault"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Eur&#46; Respir&#46; J&#46; Suppl&#46;"
                        "fecha" => "1993"
                        "volumen" => "16"
                        "paginaInicial" => "5"
                        "paginaFinal" => "40"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/8499054"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            21 => array:3 [
              "identificador" => "bib0022"
              "etiqueta" => "22"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Normative values of pulmonary function testing in Chinese adults"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:2 [
                            0 => "J&#46; Zheng"
                            1 => "N&#46; Zhong"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:7 [
                        "tituloSerie" => "Chin&#46; Med&#46; J&#46; &#40;Engl&#46;&#41;"
                        "fecha" => "2002"
                        "volumen" => "115"
                        "numero" => "1"
                        "paginaInicial" => "50"
                        "paginaFinal" => "54"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11930658"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            22 => array:3 [
              "identificador" => "bib0023"
              "etiqueta" => "23"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Quantitative computed tomography assessment of pectoralis and erector spinae muscle area and disease severity in chronic obstructive pulmonary disease referred for lung volume reduction"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
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Article information

ISSN: 25310437
Original language: English

DOI:10.1016/j.pulmoe.2023.02.004

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Year/Month	Html	Pdf	Total

2024 November	13	3	16
2024 October	67	36	103
2024 September	71	28	99
2024 August	67	35	102
2024 July	88	41	129
2024 June	60	38	98
2024 May	104	47	151
2024 April	75	39	114
2024 March	52	20	72
2024 February	28	22	50
2024 January	27	23	50
2023 December	16	24	40
2023 November	38	47	85
2023 October	23	35	58
2023 September	24	26	50
2023 August	17	14	31
2023 July	20	26	46
2023 June	49	21	70
2023 May	58	52	110
2023 April	37	25	62
2023 March	29	45	74

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