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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="para0003" class="elsevierStylePara elsevierViewall">The most commonly used method to measure dynamic hyperinflation &#40;DH&#41; is serial inspiratory capacity &#40;IC&#41; manoeuvres during cardiopulmonary exercise tests &#40;CPET&#41;&#46; The manoeuvres have to be derived from the continuously measured breathing pattern recorded&#46; Accounting for variations in breathing pattern prior to the IC manoeuvre is crucial in order to validly calculate serial ICs upon which DH can be diagnosed&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> This procedure of data interpretation is usually performed by a pulmonary function technician and the outcome should be independent of the individual technician&#46;<a class="elsevierStyleCrossRef" href="#bib0002"><span class="elsevierStyleSup">2</span></a> The focus of this study is therefore to determine the intra- and interobserver agreement of IC measurements at rest and at peak exercise&#46;</p><p id="para0004" class="elsevierStylePara elsevierViewall">In a single-centre cross-sectional cohort study&#44; 11 technicians from the Radboud University Medical Centre &#40;Nijmegen&#44; The Netherlands&#41; participated&#46; The study was conducted according to the Declaration of Helsinki and was approved by the research ethics committee of the Radboudumc &#40;2018-4357&#41;&#44; the study does not fall within the ambit of the Medical Research Involving Human Subjects Act&#46;</p><p id="para0005" class="elsevierStylePara elsevierViewall">40 CPET datasets were used from clinical practice&#46; The technicians were all considered to be experienced assessors &#40;&#43;15 years&#41; of IC measurements in the datasets &#40;weekly assessment&#41;&#46; To assess inter-observer agreement&#44; 30 datasets were evaluated&#46; The datasets were randomly chosen from a database containing all CPETs between May 2019 and December 2019&#46; Characteristics are presented in <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>&#46; The other 10 datasets were revaluated at a different time to determine intra-observer agreement&#46; In all datasets&#44; the technicians had to determine the correct breathing level prior to a rest and peak IC manoeuvre&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0006" class="elsevierStylePara elsevierViewall">The intra-class correlation coefficient &#40;ICC&#41; was used to determine intra- and interobserver agreement&#46; An ICC &#62;0&#46;8 was considered to be close to perfect agreement&#46; We chose a two-way random model&#44; absolute agreement &#40;instead of consistency&#41;&#44; and a single measures ICC&#46; For the intra-observer agreement we calculated the ICC per observer and determined the mean with standard deviation &#40;SD&#41; or median with interquartile range &#40;IQR&#41;&#44; dependent on normality&#46; Normality was tested with Q-Q plots&#46;</p><p id="para0007" class="elsevierStylePara elsevierViewall">All the analyzed variables were normally distributed&#46; The technicians scored a mean &#40;SD&#41; IC at rest of 2&#46;33 L &#40;0&#46;68 L&#41;&#46; The mean IC at peak exercise was 1&#46;91 L &#40;0&#46;66 L&#41;&#46; The ICC of the inter-observer agreement of IC rest and IC at peak exercise was 0&#46;967 &#40;95&#37;CI&#58; 0&#46;948-0&#46;982&#44; p-value 0&#46;00&#41; and 0&#46;976 &#40;95&#37;CI&#58; 0&#46;961-0&#46;987&#44; p-value 0&#46;00&#41;&#44; respectively&#46;</p><p id="para0008" class="elsevierStylePara elsevierViewall">The intra-observer agreement ranged between 0&#46;980-1&#46;00 for IC at rest&#44; and 0&#46;976-0&#46;996 for IC at peak exercise&#46;</p><p id="para0009" class="elsevierStylePara elsevierViewall">In this study we determined the intra- and interobserver agreement of IC assessment by pulmonary function technicians&#46; Guenette et al&#46;<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> suggested that the manual calculation is subjective and could introduce an observer bias&#46; Despites all this&#44; we found that interpretation of IC at rest and peak exercise is excellently done by technicians&#46; Combined with earlier studies&#44;<a class="elsevierStyleCrossRef" href="#bib0004"><span class="elsevierStyleSup">4</span></a> we can now conclude that both IC measurements can be used validly&#46; The validity of IC measurement is of great importance in the assessment of &#40;dynamic&#41; hyperinflation and guidance of pharmacotherapeutic and non-pharmacotherapeutic disease management&#46; Hyperinflation is known to be stronger correlated with symptoms of patients than FEV<span class="elsevierStyleInf">1</span> and is therefore more clinically relevant&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> To the best of our knowledge this is the first study that showed that assessment of IC is reliably done and thereby contributes to good clinical practice&#46;</p><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Author contributions</span><p id="para0010" class="elsevierStylePara elsevierViewall">DM and TB contributed equally to this article&#46; DM and TB made substantial contributions acquisition and analysis of the data&#46; BvB&#44; DM&#44; HvH&#44; and TB&#44; made substantial contributions to interpretation of the data&#44; the conception and design&#44; drafted or revised the article critically&#44; provided final approval of the version to be published and agreed to be accountable for all aspects of the work&#46;</p></span></span>"
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                  \t\t\t\t  " align="" valign="top">1&#46;46 &#40;0&#46;79&#41;&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">FEV1&#44; &#37;pred&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="" valign="top">50 &#40;25&#41;&nbsp;\t\t\t\t\t\t\n
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Letter to the Editor
Intra- and interobserver agreement of inspiratory capacity during cardio pulmonary exercise test
D. Mannée1,
Corresponding author
denise.mannee@radboudumc.nl

Corresponding author at: Department of Pulmonary Diseases, Radboud University Medical Centre Geert Grooteplein Zuid 10, 6525 GA Nijmegen, Netherlands.
, T. Berens1, B. van den Borst, H. van Helvoort
Department of Pulmonary Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands
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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="para0003" class="elsevierStylePara elsevierViewall">The most commonly used method to measure dynamic hyperinflation &#40;DH&#41; is serial inspiratory capacity &#40;IC&#41; manoeuvres during cardiopulmonary exercise tests &#40;CPET&#41;&#46; The manoeuvres have to be derived from the continuously measured breathing pattern recorded&#46; Accounting for variations in breathing pattern prior to the IC manoeuvre is crucial in order to validly calculate serial ICs upon which DH can be diagnosed&#46;<a class="elsevierStyleCrossRef" href="#bib0001"><span class="elsevierStyleSup">1</span></a> This procedure of data interpretation is usually performed by a pulmonary function technician and the outcome should be independent of the individual technician&#46;<a class="elsevierStyleCrossRef" href="#bib0002"><span class="elsevierStyleSup">2</span></a> The focus of this study is therefore to determine the intra- and interobserver agreement of IC measurements at rest and at peak exercise&#46;</p><p id="para0004" class="elsevierStylePara elsevierViewall">In a single-centre cross-sectional cohort study&#44; 11 technicians from the Radboud University Medical Centre &#40;Nijmegen&#44; The Netherlands&#41; participated&#46; The study was conducted according to the Declaration of Helsinki and was approved by the research ethics committee of the Radboudumc &#40;2018-4357&#41;&#44; the study does not fall within the ambit of the Medical Research Involving Human Subjects Act&#46;</p><p id="para0005" class="elsevierStylePara elsevierViewall">40 CPET datasets were used from clinical practice&#46; The technicians were all considered to be experienced assessors &#40;&#43;15 years&#41; of IC measurements in the datasets &#40;weekly assessment&#41;&#46; To assess inter-observer agreement&#44; 30 datasets were evaluated&#46; The datasets were randomly chosen from a database containing all CPETs between May 2019 and December 2019&#46; Characteristics are presented in <a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>&#46; The other 10 datasets were revaluated at a different time to determine intra-observer agreement&#46; In all datasets&#44; the technicians had to determine the correct breathing level prior to a rest and peak IC manoeuvre&#46;</p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0006" class="elsevierStylePara elsevierViewall">The intra-class correlation coefficient &#40;ICC&#41; was used to determine intra- and interobserver agreement&#46; An ICC &#62;0&#46;8 was considered to be close to perfect agreement&#46; We chose a two-way random model&#44; absolute agreement &#40;instead of consistency&#41;&#44; and a single measures ICC&#46; For the intra-observer agreement we calculated the ICC per observer and determined the mean with standard deviation &#40;SD&#41; or median with interquartile range &#40;IQR&#41;&#44; dependent on normality&#46; Normality was tested with Q-Q plots&#46;</p><p id="para0007" class="elsevierStylePara elsevierViewall">All the analyzed variables were normally distributed&#46; The technicians scored a mean &#40;SD&#41; IC at rest of 2&#46;33 L &#40;0&#46;68 L&#41;&#46; The mean IC at peak exercise was 1&#46;91 L &#40;0&#46;66 L&#41;&#46; The ICC of the inter-observer agreement of IC rest and IC at peak exercise was 0&#46;967 &#40;95&#37;CI&#58; 0&#46;948-0&#46;982&#44; p-value 0&#46;00&#41; and 0&#46;976 &#40;95&#37;CI&#58; 0&#46;961-0&#46;987&#44; p-value 0&#46;00&#41;&#44; respectively&#46;</p><p id="para0008" class="elsevierStylePara elsevierViewall">The intra-observer agreement ranged between 0&#46;980-1&#46;00 for IC at rest&#44; and 0&#46;976-0&#46;996 for IC at peak exercise&#46;</p><p id="para0009" class="elsevierStylePara elsevierViewall">In this study we determined the intra- and interobserver agreement of IC assessment by pulmonary function technicians&#46; Guenette et al&#46;<a class="elsevierStyleCrossRef" href="#bib0003"><span class="elsevierStyleSup">3</span></a> suggested that the manual calculation is subjective and could introduce an observer bias&#46; Despites all this&#44; we found that interpretation of IC at rest and peak exercise is excellently done by technicians&#46; Combined with earlier studies&#44;<a class="elsevierStyleCrossRef" href="#bib0004"><span class="elsevierStyleSup">4</span></a> we can now conclude that both IC measurements can be used validly&#46; The validity of IC measurement is of great importance in the assessment of &#40;dynamic&#41; hyperinflation and guidance of pharmacotherapeutic and non-pharmacotherapeutic disease management&#46; Hyperinflation is known to be stronger correlated with symptoms of patients than FEV<span class="elsevierStyleInf">1</span> and is therefore more clinically relevant&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">5</span></a><span class="elsevierStyleSup">&#44;</span><a class="elsevierStyleCrossRef" href="#bib0006"><span class="elsevierStyleSup">6</span></a> To the best of our knowledge this is the first study that showed that assessment of IC is reliably done and thereby contributes to good clinical practice&#46;</p><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0003">Author contributions</span><p id="para0010" class="elsevierStylePara elsevierViewall">DM and TB contributed equally to this article&#46; DM and TB made substantial contributions acquisition and analysis of the data&#46; BvB&#44; DM&#44; HvH&#44; and TB&#44; made substantial contributions to interpretation of the data&#44; the conception and design&#44; drafted or revised the article critically&#44; provided final approval of the version to be published and agreed to be accountable for all aspects of the work&#46;</p></span></span>"
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV1&#44; &#37;pred&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">50 &#40;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0011"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">FEV1&#47;FVC&#37;&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">49 &#40;18&#41;&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">COPD Gold I&#47;II&#47;III&#47;IV&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">1&#47;4&#47;15&#47;5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><a name="en0015"></a><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="" valign="top">Non COPD&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">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">Patient characteristics &#40;n&#61;30 tests&#41;&#44; values are present as mean &#40;SD&#41;&#46; The non-COPD group comprises subjects referred for dyspnoe on exertion and restrictive pulmonary disease&#46;</p>"
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      "titulo" => "References"
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                0 => array:2 [
                  "contribucion" => array:1 [
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                      "autores" => array:1 [
                        0 => array:2 [
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                            0 => "B&#46;D&#46; Johnson"
                            1 => "I&#46;M&#46; Weisman"
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                      ]
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                      "Revista" => array:6 [
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                      "autores" => array:1 [
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                          "etal" => true
                          "autores" => array:3 [
                            0 => "P&#46;H&#46; Quanjer"
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                            2 => "J&#46;E&#46; Cotes"
                          ]
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                      ]
                    ]
                  ]
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                      "doi" => "10.1183/09041950.005s1693"
                      "Revista" => array:7 [
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                        "volumen" => "6"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/24576915"
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                    0 => array:2 [
                      "titulo" => "Inspiratory capacity during exercise&#58; measurement&#44; analysis&#44; and interpretation"
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                          "etal" => true
                          "autores" => array:3 [
                            0 => "J&#46;A&#46; Guenette"
                            1 => "R&#46;C&#46; Chin"
                            2 => "J&#46;M&#46; Cory"
                          ]
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                    ]
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                    0 => array:1 [
                      "Revista" => array:4 [
                        "tituloSerie" => "Pulmonary Med"
                        "fecha" => "2013"
                        "volumen" => "2013"
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                      ]
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                ]
              ]
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                      "titulo" => "Hyperinflation and its management in COPD"
                      "autores" => array:1 [
                        0 => array:2 [
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                          "autores" => array:2 [
                            0 => "L&#46; Puente-Maestu"
                            1 => "W&#46;W&#46; Stringer"
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                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:6 [
                        "tituloSerie" => "Inter J Chronic Obstruct Pulmonary Dis"
                        "fecha" => "2006"
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                        0 => array:2 [
                          "etal" => false
                          "autores" => array:3 [
                            0 => "D&#46;E&#46; O&#39;Donnell"
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                      "titulo" => "Dyspnea and activity limitation in COPD&#58; mechanical factors"
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                      "doi" => "10.15326/jcopdf.4.3.2017.0137"
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                        "fecha" => "2007"
                        "volumen" => "4"
                        "numero" => "3"
                        "paginaInicial" => "225"
                        "paginaFinal" => "236"
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Article information
ISSN: 25310437
Original language: English
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Pulmonology

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