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Original article
DOI: 10.1016/j.pulmoe.2020.12.004
Open Access
Available online 6 January 2021
Dynamic hyperinflation, chronotropic intolerance and abnormal heart rate recovery in non-severe chronic obstructive pulmonary disease patients-reflections in the mirror
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R.V. Chernevaa, V.M. Youroukovab, Zh.Vl. Chernevac,
Corresponding author
cherneva_radost@yahoo.com

Corresponding author at: Gen. Skobelev 79, Bulgaria.
a Medical University Sofia, Department of Respiratory Diseases, University Hospital for Respiratory Diseases “St. Sophia’’, Sofia, bul. “Ivan Geshov 17”, Bulgaria
b Medical University Sofia, Department of Respiratory Diseases, University Hospital for Respiratory Diseases “St. Sophia’’, Sofia, bul. “Ivan Geshov 19”, Bulgaria
c Department of Cardiology, Medical Institute of the Ministry of Internal Affairs, Sofia, Bulgaria
Received 13 July 2020. Accepted 02 December 2020
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Tables (5)
Table 1. Anthropometric, clinical and autonomic dysfunction parameters of the patients with GOLD I and GOLD II.
Table 2. Echocardiographic parameters of the patients with GOLD I and GOLD II.
Table 3. Cardio-vascular and ventilatory parameters at rest and at peak exercise of the patients with GOLD I and GOLD II.
Table 4. Cardio-pulmonary exercise testing parameters at peak exercise of the patients with GOLD I and GOLD II.
Table 5. Univariate and multivariate logistic regression analysis between respiratory, cardio-pulmonary and echocardiographic parameters and AD parameters.
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Abstract
Background

The presence of abnormal heart rate recovery (HRR) and chronotropic incompetence (CI) suggests autonomic dysfunction (AD) and is associated with diminished physical activity and increased cardio-vascular (CV) risk.

Aim

Our aim is to analyse the correlation between AD and airflow obstruction - forced expiratory volume in 1s (FEV1), dynamic hyperinflation (DH) and disease prognosis - the BODE – index (BMI; Obstruction – FEV1;Dyspnea – mMRC;E – exercise capacity) in non-severe COPD patients without overt CV comorbidities.

Methods

We used cardio-pulmonary exercise testing (CPET) with 67 subjects. Inspiratory capacity (IC) manouevres were performed for DH assessment. Echocardiography was executed before CPET and 1−2min after peak exercise. Stress left ventricular diastolic dysfunction (LVDD) was assumed if stress E/e’>15.Wilkoff method calculated the metabolic-chronotropic relationship (MCR). Chronotropic incompetence (CI) and abnormal HR recovery (HRR) were determined.

Main results

CI was detected in 44% of the mild and 65% of the moderate COPD patients. Abnormal HRR was present in 75% of the mild and 78% of the moderate COPD subjects. Multivariate regression analysis showed no association between FEV1, CPET parameters, BODE index, stress LVDD and AD. DH was the only independent predictor for both abnormal HRR and CI.

Conclusion

Evaluation of AD during incremental CPET unravels lung hyperinflation as a potential mechanism of attenuated HR response and diminished physical activity in non-severe COPD free of overt CV comorbidities. This multifaceted approach to dyspnea may facilitate the discrimination of its pathogenesis and improve its proper clinical management.

Keywords:
Heart rate recovery
Chronotropic incompetence
Dynamic hyperinflation
Chronic obstructive pulmonary disease
Full Text
Introduction

Chronotropic incompetence (CI) – the inability to reach the target heart rate (HR) during exercise is believed to represent an impaired sympathetic response and is an independent predictor of cardiovascular diseases.1,2 Heart rate recovery (HRR) – the rate of restoration of the heart rate (HR) during the first minute after exercise – the recovery phase, represents the parasympathetic response. Its abnormal delay (a decline of HR<12 beats/min) implies parasympathetic dysfunction.3,4 Abnormal HRR and CI indicate the presence of autonomic dysfunction (AD). Being established as independent predictors of cardiac mortality, these two types of abnormal physiological responses may find application in cardiovascular risk stratification.5,6

Though not systematically investigated, both CI and HRR have been described in either hypoxemic, or normoxemic COPD patients.7,8 Their prevalence is variable within the range of 56–86% among studies. Even more controversial is the data regarding the relation between AD and COPD stages.8–11 This can be explained by the fact that different COPD stages have been investigated.

Considered a major contributor to exercise intolerance and dyspnea, dynamic hyperinflation (DH) has additional negative consequences in COPD.12,13 DH is a result of expiratory airflow limitation and occurs when ventilatory demand increases, leaving less time for expiration. The end-expiratory lung volume (EELV) increases, altering the intrathoracic pressure gradients. Cardio-vascular consequences follow – the right and left ventricle preload diminish, while the left ventricle afterload increases. This impairs LV filling, compliance and cardiac output.12,13 DH deters not only the stroke volume, but also blunts HR surge. It has been recently observed that it is associated with AD, and correlates to impaired metabolic-chronotropic relationship (CI) independent of age, static lung volumes and airway obstruction.14 The autonomic abnormalities, associated with DH are much more constant than the haemodynamic heart-lung effects in the different COPD stages.

Assuming this we set the following aims: (1) to detect the prevalence of CI and abnormal HRR in non-severe COPD patients free of overt CV diseases; (2) to analyse their association with disease severity – forced expiratory volume in 1s (FEV1), dynamic hyperinflation; (3) and disease prognosis the BODE – index (BMI; Obstruction – FEV1;Dyspnea – mMRC scale;E – exercise capacity).

Materials and methodsPatients and study protocol

It was a prospective study which was performed in 224 clinically stable outpatients, diagnosed with COPD at the University Hospital for Respiratory Diseases “St. Sophia”, Sofia. Only 163 of them met the inclusion criteria: (1) non-severe COPD (post bronchodilatator FEV1/FVC<70%; FEV1/>50%); (2) preserved left ventricular systolic function LVEF>50%; (3) lack of overt cardiovascular disease; (4) exertional dyspnea. A total of 67 patients were considered eligible, assuming the exclusion criteria. The recruitment period was between April 2018–April 2019, and was approved by the local Ethical Committee (protocol 5/12.03.2018). All the patients signed informed consent before their participation. They were previously acquainted with the aim of the study, its scientific value and the potential presentation of data at different forums. Dyspnea was rated applying the modified Medical Research Council (mMRC) scale. Exercise capacity was assessed using the 6min walking test (6MWT). Body mass index, airflow Obstruction, Dyspnea and Exercise capacity – (BODE) index was calculated.15 Inhaled bronchodilators (β2 agonists and anti-cholinergics) were withdrawn 24h before investigation.

The following exclusion criteria were considered: (1) LVEF<50%; (2) LVDD at rest more than first grade; (3) echocardiographic signs of systolic pulmonary arterial hypertension; (4) valvular heart disease; (5) documented cardiomyopathy; (6) severe uncontrolled hypertension (systolic blood pressure>180mmHg and diastolic blood pressure >90mmHg); (7) atrial fibrillation or malignant ventricular arrhythmia; (8) the intake of β-blockers; (9) ischaemic heart disease; (10) anaemia; (11) diabetes mellitus; (12) cancer; (13) chronic kidney disease; (14) recent chest or abdominal surgery; (15) recent exacerbation (during the last three months); (16) recent change (during the last three months) in medical therapy; (17) none of the subjects had non-invasive positive-pressure ventilation support or long-term ambulatory O2 therapy; (18) previous rehabilitation procedures.

ProceduresPulmonary function testing and body plethysmography at rest

All subjects underwent preliminary clinical examination which included chest X-ray, spirometry, electrocardiogram, and echocardiography. Those eligible for the study performed spirometry and exercise stress test. Both tests were performed on Vyntus, Carefusion, Germany following the guidelines. Spirometry was performed after bronchodilatation test – application of (400μkg) of salbutamol. Following the ERS guidelines a post-bronchodilatation ratio of FEV1/FVC<70% was assumed for the diagnosis of COPD.16 Only patients with mild/moderate airway obstruction (FEV1>50%) were selected. The severity of COPD was staged according to the GOLD criteria.17 Static lung volumes - residual volume (RV), total lung capacity (TLC), inspiratory lung volume and inspiratory capacity (IC) were measured by body plethysmography (Vyntus, body plethysmograph, CareFusion, Germany). Static hyperinflation has been assumed if FRC was above the upper lower limit of normal. Static lung volume measurements and interpretation of data has been performed following the guidelines.18,19 The ECCS/ERS equations have been used for lung volume analysis.20

Exercise testsSix-minute walk test (6-MWT)

Six-minute walking test was performed in accordance with ATS guidelines.21 It was done on a separate day after the initial visit for study eligibility criteria and after the performance of the exercise stress test and stress echocardiography. Subjects were instructed and encouraged to walk through 30m preliminary measured distance in a hospital corridor. SpO2, heart rate and arterial blood pressure were obtained before and during the recovery period.

Cardio-pulmonary exercise testing (CPET) – stress test protocol

All the patients underwent symptom limited incremental exercise stress test following the guidelines.22 It was performed in an upright position on a bicycle after the clinical examination and spirometry. Subjects respired through an oro-nasal mask (Hans Rudolf 7450 SeriesV2™ Mask, CareFusion). Breath-by-breath cardiopulmonary data (Vyntus, CareFusion) were measured at rest, warm up and incremental exercise testing. Gas and flow sensors were calibrated before each test. Clinical monitoring of the patients included standard electrocardiography through the whole exercise test; manual blood pressure measurements, and heart rate recordings at the end of every stage.

A continuous ramp protocol was applied. After two minutes of unloaded pedaling (rest phase-0W), a three minute warm-up phase (20W) followed. The test phase included 20W/2min load increments. Patients were instructed to pedal with 60–65 rotations per minute. Patients’ effort was considered to be maximal if two of the following criteria emerged: predicted maximal HR is achieved; predicted maximal work is achieved; V’E/V’O2>45, RER>1.10, lactate level>6mmolL−1, and pH drop>0.06, as recommended by the ATS/ACCP.23 Arterial blood (240μL) was sampled at rest and at peak exercise and immediately analyzed using a blood gas analyzer/cooximeter (ABL700, Radiometer, France).

A breath-by-breath analysis was used for expiratory gas evaluation. Oxygen uptake (’VO2 (mL/kg/min)), carbon dioxide production (’VCO2 (L/min)), minute ventilation (‘VE (L/min)) and end-tidal CO2 pressure (PetCO2 (mm Hg)) were collected continuously at rest and throughout the exercise test. Peak values of oxygen consumption and carbon dioxide production were presented by the highest 30-second average value, obtained during the last stage of the exercise test. Peak respiratory exchange ratio was the highest 30s averaged value between’VO2 and’ VCO2 during the last stage of the test. Ten-second averaged’ VE and’ VCO2 data, from the initiation of exercise to peak, were used to calculate the’ VE/’VCO2 slope via least squares linear regression.24 A dual approach for the measurement of the anaerobic threshold (AT) was applied. Both V-slope method and the ventilatory equivalents method for VO2 and’ VCO2 were used. The modified Borg scale was applied for peak dyspnea and leg discomfort.

The maximum HR (MHR) was calculated (MHR=220 – age). The target HR (THR) was set at 80% of MHR. A cut-off point of 12 beats was taken as an abnormal HRR.4 The chronotropic response index was calculated.2 The metabolic-chronotropic relationship (MCR) was calculated by Wilkoff’s formula.25 CI was assumed if MCR<0.80. Breathing reserve (BR) was calculated as MVV - peak V’E/MVV x100 where MVV is maximal voluntary ventilation estimated as FEV1 multiplied by 35.

Dynamic hyperinflation (DH) during CPET

Changes in operational lung volumes were derived from measurements of dynamic inspiratory capacity (IC), assuming that total lung capacity (TLC) remained constant during exercise.26,27 This has been found to be a reliable method of tracking acute changes in lung volumes.26,27 IC was measured at the end of a steady-state resting baseline, at 2min intervals during exercise, and at end exercise. End-expiratory lung volume (EELV) was calculated from IC maneuvers at rest, every 2min during exercise and at peak exercise (Vyntus).In these maneuvers, after EELV was observed to be stable over 3–4 breaths, subjects were instructed to inspire maximally to TLC. For each measurement, EELV was calculated as resting TLC minus IC, using the plethysmographic TLC value. Dynamic IC (ICdyn) was defined as resting IC minus IC at peak exercise.28 Dynamic hyperinflation (DH) was defined as a decrease in IC from rest of more than 150mL or 4.5% pred at any time during exercise.29

Stress echocardiographic methods and CPET

After exercise cessation patients were put on a bed, near the ergometer. Stress echocardiography was performed in a supine position on a patient lying down1−2min after peak exercise.

Routine structural and haemodynamic indices of both chambers at rest were measured following the guidelines.30 The systolic function of the left ventricle was defined by Simpson’s modified rule. The diastolic function of both ventricles was evaluated by the E/A ratio at rest.31 As a more precise approach for diastolic dysfunction detection, tissue Doppler analysis was used. We used e’ value as the average of medial and the lateral measurements for the mitral annulus. The peak of the average E/e’ ratio>15 was considered as a marker for stress induced left ventricular diastolic dysfunction.30

Statistical analysis

Descriptive statistics was used for demographic and clinical data presentation. The Kolmogorov-Smirnov test was used to explore the normality of distribution. Continuous variables were expressed as median and interquartile range when data was not normally distributed and with mean±SD if normal distribution was observed. Categorical variables were presented as proportions. Data were compared between patients with GOLD I and GOLD II. An unpaired Student’s t test was performed for normally distributed continuous variables. Mann–Whithney-U test was used in other cases. Categorical variables were compared by the χ2 test or the Fisher exact test. Univariate logistic regression analysis was applied to determine the ventilatory, echocardiographic and CPET parameters, associated with CI and abnormal HRR. Age, FEV1, body mass index, ICdyn, LV E/e’ at rest, stress LV E/e’>15 were taken as covariates in multivariate logistic regression analysis. In all cases a p value of less than 0.05 was considered significant as determined with SPSS® 13.0 Software (SPSS, Inc, Chicago, Ill) statistics.

ResultsEchocardiographic, ventilatory and cardiovascular parameters of GOLD I and GOLD II patients at rest

Subjects enrolled in the study were Caucasians with a mean age of 62.9±7.5. Subjects are divided into two groups based on the GOLD stages. The demographic and clinical data of the patients is presented in Table 1. Though not of statistical significance, there is a higher prevalence of DH, CI and abnormal HRR in moderate, as compared to mild, COPD patients. The echocardiographic characteristics (Table 2) were similar between the patients with GOLD I and GOLD II, but those with moderate disease demonstrated a higher incidence of stress LVDD. The ventilatory, cardiovascular and cardio-pulmonary exercise testing parameters of the two groups at peak exercise are given in Tables 3 and 4.

Table 1.

Anthropometric, clinical and autonomic dysfunction parameters of the patients with GOLD I and GOLD II.

  Patients with GOLD I (n, 16)  Patients with GOLD II (n, 51)  p-Value 
Demographic data
Age, year,  57.19±6.13  61.89±5.79  0.769* 
Male, n  11  48  0.378?? 
Duration of COPD  3.78 (2.86−5.12)  9.87 (6.73−11.58)  0.619 
Pack, years  25.98 (23.79−31.81)  29.19 (30.43±38.87)  0.391 
Body mass index, kg/m2  28.57 (25.49−32.65)  26.31 (20.86−33.48)  0.717 
Discharge medication
LABA, n (%)  9 (56%)  18 (35%)  0.187?? 
LAMA, n (%)  7 (44%)  12 (24%)  0.097?? 
LABA+LAMA, n (%)  –  21 (41%)  0.319?? 
Angiotensin converting enzyme Inhibitors, n (%)  11 (69%)  32 (63%)  0.762?? 
Diuretics, n (%)  7 (44%)  29 (57%)  0.224?? 
mMRC  1.5 (0.8−1.7)  1.8 (1.1−2.0)  0.721 
6 MWT
Distance walked, m  486.05 (451.38−499.21)  465.84 (436.73−481.19)  0.437?? 
AD prevalence
Chronotropic incompetence, n (%)  7 (44%)  33 (65%)  0.635?? 
Abnormal HRR at 1min, bpm  12 (75%)  40 (78%)  0.721?? 
Dynamic hyperinflation
ICdyn>150mL  5 (31%)  27 (53%)  0.613?? 
Stress LVDD
Stress E/e’>15  7 (44%)  39 (76%)  0.247?? 

Abbreviations: GOLD – Global Initiative On Obstructive Lung Disease; LABA – long acting β2 agonists; LAMA – long acting muscarine antagonist; AD – autonomic dysfunction;HRR –heart rate recovery;bpm – beats per minute; ICdyn=ICrest-ICpeak; LVDD – left ventricular diastolic dusfunction; LV – left ventricle; mMRC – modified Medical Research Council; 6MWT – 6min walking test.

*

Unpaired t test.

Mann–Whitney U test.

??

Chi square test.

Table 2.

Echocardiographic parameters of the patients with GOLD I and GOLD II.

  Patients with GOLD I (n, 16)  Patients with GOLD II (n, 51)  p-Value 
LV structural parameters
LAVI, ml/m2  28.34 (26.58−31.29)  29.18 (27.61−32.83)  0.286* 
Septum, mm  11.00 (10−13)  12.00 (11−13)  0.887* 
PW, mm  11.05 (10.75−12)  12.00 (11−13)  0.921* 
LV functional parameters at rest
LVEF, %, Simpson  64.50 (61−66)  61.00 (57−66)  0.653* 
E/A ratio  0.89 (0.75−1.25)  0.75 (0.65−0.90)  0.520* 
E/e' aver ratio  6.46 (6.05−8.33)  6.97 (5.76−9.15)  0.456* 
TR jet velocity, m/s  2.16 (1.98−2.31)  2.34 (2.04−2.42)  0.618* 
Dec-E, ms  210.5 (201.32−211.29)  211.8 (212.61−221.83)  0.374* 
IVRT, ms  89.6 (82.58−94.29)  91.2 (84.61−96.83)  0.895* 
LV functional parameters after exercise stress test
E/A ratio  1.25 (0.8−1.50)  1.53 (1.25−1.86)  0.043* 
E/e' aver  8.07 (6.7−9.6)  17.43 (15.71−19.46)  0.036* 
e’ aver  10.03 (7.8−12.1)  7.8 (6.32−9.11)  0.012* 
TR jet velocity, m/s  2.63 (2.22−2.92)  2.76 (2.50−3.12)  0.709* 

Abbreviations: GOLD – Global Initiative On Obstructive Lung Disease; LV – left ventricular; LAVI – left atrium volume index; PW – posterior wall; LVEF – left ventricular ejection fraction; TR – tricispidal; Dec-decelaration; IVRT – isovolumic relaxation time.

*

Mann–Whitney U test.

Table 3.

Cardio-vascular and ventilatory parameters at rest and at peak exercise of the patients with GOLD I and GOLD II.

  Patients with GOLD I (n, 16)  Patients with GOLD II (n, 51)  p-Value 
Cardio-vascular parameters
HR at rest, bpm  78 (72–86)  89 (82–98)  0.502 
Peak HR, bpm  138 (110–143)  117 (103–121)  0.042 
HR max, %  86.7 (82.48−93.69)  77.84 (71.24−88.72)  0.014 
Heart rate reserve use, %  78.53 (69.61−89.42)  57.08 (41.74−81.12)  0.019 
MCR  0.73 (0.61−0.78)  0.54 (0.48−0.72)  0.032 
Post-exercise
HRR at 1min, bpm  11 (5−12)  10 (3−12)  0.982 
Blood pressure at rest
Systolic blood pressure, mmHg  126.73±8.41  128.87±11.32  0.803?? 
Diastolic blood pressure, mmHg  80.43±4.14  82.31±6.56  0.451?? 
Blood pressure at peak exercise
Systolic blood pressure, mmHg  161.81±9.18  169.62±10.84  0.219?? 
Diastolic blood pressure, mmHg  85.37±7.65  87.19±7.32  0.398?? 
Ventilatory parameters at rest
FVC, l  4.68 (4.56−5.72)  3.72 (3.09–4.98)  0.021 
FVC, % pred  83.42%  84.11%  0.036 
FEV 1, l  3.06 (3.02−3.39)  2.32 (1.56−3.21)  0.033 
FEV1, % pred  81.02 (80.56−89.21)  66.18 (59.21−72.65)  0.040 
FEV1/FVC %  65.38(59.26−66.22)  62.30 (50.48−64.45)  0.046 
IC,l  3.19 (3.02−4.43)  2.87 (2.40−3.32)  0.216 
TLC,l  7.48 (6.72−8.09)  6.14 (5.59−7.28)  0.187 
TLC,% pred  91 (88–102)  94 (86–109)  0.709 
RV,l  2.38 (2.33−2.89)  2.81 (1.82−3.39)  0.283 
RV, % pred  92 (78–102)  94 (87–111)  0.421 
IC/TLC,%  45.62 (41.08−52.88)  41.57 (38.89−47.31)  0.179 
BODE index  1.05 (0.67−1.32)  2.64 (1.47−3.81)  0.016 
Ventilatory parameters at peak exercise
Vt,2.28 (1.79−3.34)  1.79 (1.57−2.02)  0.212 
VE, l/min  72.38 (60.87−84.58)  54.97 (46−62)  0.031 
BR, %  33.89 (21.68−39.83)  27.94 (20.87−33.38)  0.043 
EELV/ TLC, %  53 (50−59)  61 (54−70)  0.047 

Abbreviations: HFpEF – heart failure with preserved ejection fraction; HR – heart rate; HRR – heart rate recovery; CRI – chronotropic response index;bpm – beats per minute; MCR – metabolic-chrontropic relationship; IC – inspiratory capacity; TLC – total lung capacity; FRC – functional residual capacity; RV – residual volume; Vt – tidal volume; VE – minute ventilation; EELV – end expiratory lung volume; BR – breathing reserve.

Mann–Whitney U test.

??

Chi square test.

Table 4.

Cardio-pulmonary exercise testing parameters at peak exercise of the patients with GOLD I and GOLD II.

  Patients with GOLD I (n, 16)  Patients with GOLD II (n, 51)  p-Value 
Peak Load, W  98 (100−140)  90 (80−100)  0.018 
Peak Load, % pred  89.4 (78.56−97.14)  83.18 (58.54−88.34)  0.044 
Exercise duration  525.8+136.8  484.3+129.1  0.312 
Peak VE, l/min  72.38 (60.87−84.58)  54.97 (46−62)  0.031 
Peak V'O2, ml/kg/min  23.81 (22.06−25.18)  18.46 (15.86−19.98)  0.028 
Peak V'O2, % pred  77.4 (62.8–80.9)  70.0 (55.0−80.0)  0.036 
V'O2 at AT, ml/kg/min  16.0 (15.0−16.6)  12.1 (10.6−14.1)  0.047 
O2 pulse, ml/beat  11.80 (10.15−12.19)  10.90 (10.00−13.04)  0.076 
Peak RER  1.2 (1.1−1.3)  1.2 (1.1−1.3)  0.758 
VE/VCO2 slope  26.76 (24.02−30.58)  31.17 (27.15−34.68)  0.035 
Peak Sat%  95.00 (94.02−95.67)  94.9 (94.4−95.25)  0.089 
Borg dyspnea score  4 (3−7)  4 (3−5)  0.621 
Borg leg discomfort score  4 (4−7)  4 (3−5)  0.098 

Abbreviations: HFpEF- heart failure with preserved ejection fraction; RER – respiratory exchange ratio;AT anaerobic threshold; VE – minute ventilation;V’O2 – oxygen uptake.

??Chi square test.

Mann–Whitney U test.

Cardio-vascular parameters of GOLD I and GOLD II patients at peak exercise

The patients with mild COPD achieved significantly higher peak HR and performed with higher MCR (Table 4). CI was met in seven (44%) of them with median heart rate reserve utilization – 78.53 (69.61–89.42) Abnormal heart rate recovery was established in 12 (75%) of the mild COPD.

The moderate COPD subjects demonstrated much lower MCR and chronotropic intolerance was met in 33 (65%) of these patients; they reached much lower peak HR and had a lower median heart rate reserve utilization 57.08 (41.74–81.12). Abnormal HRR was present in 40 (78%) of the GOLD II patients.

Ventilatory parameters of GOLD I and GOLD II patients at peak exercise

The analysis of the ventilatory parameters at peak exercise showed that mild COPD patients had higher minute ventilation and higher breathing reserve in comparison to those with moderate one. None of the patients in the studied group demonstrated static hyperinflation, but 32(46%) showed DH. There is a predominant prevalence of hyperinflators – 27(53)% among the patients with GOLD II in comparison to GOLD I – 5(31)% (Table 1).

Cardio-respiratory parameters of GOLD I and GOLD II patients at peak exercise

According to the objective ATS/ACCP criteria, exercise was considered maximal in all patients. The mild COPD patients achieved a higher peak load, higher V’O2 at peak and at anaerobic threshold. They performed with higher oxygen pulse and lower VE/VCO2 slope (Table 4). Dyspnea was the predominant limiting factor in 5 (31%) of GOLD I patients, but exhausted breathing reserve was detected in only 2 (13%) of them; in comparison 46 (90%) of the GOLD II patients complained of dyspnea and exhausted breathing reserve was the limiting factor in 18 (35%) of them. Leg fatigue was the reason for exercise cessation in 11 (69%) of GOLD I subjects, while 5 (10%) of the patients with GOLD II mntioned it (Table 4).

Association between ventilatory, cardio-pulmonary and echocardiographic parameters and AD

Table 5 demonstrates univariate logistic regression analysis for predictors of AD. Among the studied ventilatory, cardio-pulmonary and echocardiographic parameters only ICdyn and stress E/e’>15 presented as predictors for both CI and abnormal HRR. Multivariate logistic regression analysis was also performed. The following covariates – age, BMI, FEV1, RV, RV/TLC, IC/TLC were taken in assumption. The multivariate regression analysis did not show association between the CI or abnormal HRR or any of the tested ventilatory, echocardiographic, CPET parameters or the BODE index Table 5. DH is the only independent predictor of CI and HRR in non-severe COPD patients.

Table 5.

Univariate and multivariate logistic regression analysis between respiratory, cardio-pulmonary and echocardiographic parameters and AD parameters.

  CIAbnormal HRR
Univaraiate analysis  p-Value  OR  95% CI  p-Value  OR  95% CI 
FEV 1, l/min  0.079  1.008  0.990−1.623  0.651  0.924  0.626−1.397 
FRC,l  0.064  0.617  0.327−1.324  0.231  0.712  0.478−0.909 
RV,l  0.073  1.562  0.998−2.864  0.097  1.023  0.096−1.241 
IC/TLC,%  0.082  0.911  0.614−1.206  0.457  0.876  0.418−1.259 
RV/TLC,%  0.301  0.921  0.689−1.223  0.793  0.658  0.395−0.968 
Vt, l  0.090  1.002  0.831−1.948  0.151  0.918  0.549−1.328 
VE, l  0.319  0.954  0.788−1.923  0.421  0.683  0.264−1.014 
BR, %  0.065  0.958  0.779−1.561  0.059  0.917  0.692−1.218 
ICdyn>150mL  0.036  18.9  4.521−32.418  0.027  19.3  3.804−27.613 
Peak Load, W  0.071  1.107  0.604 -1.221  0.109  2.401  1.013 -5.411 
Peak V'O2, mL/min/kg  0.623  0.769  0.412−0.965  0.398  1.023  0.587- 3.102 
Peak O2 pulse mL/min/kg  0.126  0.989  0.674−1.003  0.812  0.911  0.634−2.121 
VE/VCO2 slope  0.074  0.830  0.987−1.871  0.231  1.076  0.754−3.812 
BODE index  0.152  0.013  0.000−0.938  0.473  0.811  0.432−3.089 
LV E/e’ at rest  0.078  0.542  0.423−0.897  0.067  1.241  0.932−1.968 
Stress LV E/e’ >15  0.023  3.673  1.418−6.924  0.048  2.037  1.806−5.473 
Multivaraiate analysis
ICdyn  0.042  11.21  3.862−27.851  0.039  12.06  2.653−19.087 

Abbreviations: FEV1 – forced expiratory volume in 1s; IC – inspiratory capacity; TLC – total lung capacity; RV – residual volume; FRC – functional residual capacity; Vt – tidal volume; VE – minute ventilation; BR – breathing reserve; EELV – end expiratory lung volume; HRR – heart rate recovery; CI – chronotropic incompetence.

Discussion

The major findings of our study are: (1) we demonstrate a high prevalence of abnormal HRR (76.5%) and CI (54.5%) in non-severe COPD patients who complain of exertional dyspnea and are free of overt cardiovascular diseases; (2) DH was the only independent predictor for AD parameters (CI and/or abnormal HRR); (3) the prevalence of HRR and CI are independent from the FEV1, LV cardiac function and the BODE index.

Chronotropic regulation of the cardiac function is responsible for HR response to exercise, HR recovery and HR variability.32,33 AD was first reported in advanced COPD with respiratory failure and later in normoxemic patients.7,34 Data regarding the prevalence of CI in COPD patients is even more controversial. The reasons for this are different criteria for CI definition, different COPD stages and study protocols.35,36 Abnormal HRR has also been demonstrated in COPD independently of exercise intensity, peak and resting HR.37,38 It was associated with increased risk of all-cause mortality especially among subjects with FEV1<50%.39

Our data supports previous findings. We observed both abnormal HRR (assuming parasympathetic dysfunction) and CI (an indicator of impaired sympathetic response) in COPD patients, which implies that both limbs of the autonomic cardiac regulation may be affected in mild/moderate COPD.

To the best of our knowledge, we first to describe AD in mild/moderate COPD patients who complain of exertional dyspnea and are free of overt cardio-vascular diseases. The design of the study takes into consideration the intake of medication that may influence the autonomic nervous system response. The intake of β-blockers was an exclusion criteria, and patients had β2-agonists and anticholinergic medication withdrawn 24h before CPET. Though HRR and CI grew with the increase of BODE index and FEV1, none of the respiratory or CPET parameters correlated with them. Remembering that AD is associated with increased cardio-vascular mortality in the general population, HRR and CI may be useful independent markers for cardio-vascular risk stratification in COPD.40

Data regarding the relation between AD and FEV1 is controversial among studies. Chick et al., demonstrate delayed HRR in COPD patients, independently of their FEV1.9 In contrast, Schedira et al., claim a higher prevalence of HRR as FEV1 decreases.10 Hulo et al., find similar trends regarding CRI.14 Gupta et al., describe that both HRR and CRI are becoming more prevalent in advanced COPD stages.8 The controversies regarding the association between AD and COPD progression is probably due to the different study designs and protocol performance.

It is routinely assumed that AD is secondary to chronic sympathetic system overactivation.41,42 Lung hyperinflation induces compression of the pulmonary vessels and the heart; the stroke volume and HR decrease.43,44 It is therefore likely that lung hyperinflation in COPD blunts the cardiac chronotropic response and increases the sympathetic overactivation.45,46 In normal subjects, sympathetic nerve activity is generally synchronized with the central inspiratory motor activity. The degree of lung volume inflation during inspiration activates pulmonary vagal afferents that in turn inhibits sympathetic nerve discharge.47 The balance between these mechanisms determines the effect of respiratory modulation on the autonomic nervous system, which in COPD patients is likely to become in favor of sympathetic activation.45,46 Although hyperinflation correlates to sympathetic overactivation in COPD, in most of the studies its role has been overlooked. It is unclear whether DH is associated with AD. CI has been most commonly diagnosed when HR fails to reach 80%–85% of the HRmax.33

In order to objectively evaluate CI in COPD, we, for the first time, employed the Wilkoff formula – the relationship between HR and V’O2 during exercise.25 The advantage of using the formula and the metabolic-chronotropic relationship as a marker for CI, is that MCR is adjusted for age, physical fitness, functional capacity and is unaffected by the exercise testing mode or protocol.48,49 This metabolic-chronotropic relationship approach allowed us to define an association between AD and DH. We have shown that CI evaluated by the metabolic-chronotropic relationship is highly prevalent in a cohort of COPD patients. Adding evaluation of CI to standard pulmonary function parameters at rest and during incremental exercise let us determine DH as a potential mechanism of attenuated HR response even in mild/moderate COPD. The results of the study are strengthened by the fact that none of the patients had LV systolic dysfunction.

In summary, abnormal HRR and CI are prevalent in non-severe COPD even in the absence of overt CV comorbidities. Neither abnormal HRR, nor CI are associated with the degree of airflow limitation (FEV1), LV cardiac function or the BODE index. DH is the only independent predictor for them. Evaluation of AD during incremental CPET unravels lung hyperinflation as a potential mechanism of attenuated HR response and diminished physical activity in non-severe COPD free of overt CV comorbidities. This multifaceted approach to dyspnea may facilitate the discrimination of its pathogenesis and improve its proper clinical management.

Our study confirms the versatile clinical presentation of a disease, affecting the lungs and going beyond them in its pathophysiological sequelae. The contemporary phenotype/endotype approach in COPD is undoubtedly demanding.50 It is unfortunately obvious that the signs and symptoms, the CT and spirometry parameters, are insuffucient to cluster the patients and to facilitate the establishment of biomarkers, useful for precise pharmacotherapy.50 The pathophysiological phenotypisation may propel the laborious ambition of understanding the heterogeneous multimorbidity of COPD.

Study limitations

The main limitations of this study are: (1) the relatively small sample size and the multiple tests may lead to false commission or omission results (type I/type II error); (2) coronary artery disease may not be excluded as neither invasive (coronary angiography), nor sophisticated imaging modalities (exercise single photon emission computed tomography (SPECT) – myocardial perfusion imaging (MPI)) were performed; (3) most of our patients had arterial hypertension, but it was controlled by optimal medical treatment, not clinically overt; (4) COPD patients experience enhanced pressure swings during the respiratory cycle and measurements were performed at the end of expiration, which may have influenced the results; (5) we do not have invasive measurement of sPAP; (6) measurements were acquired in the early recovery period (approximately 2min) after symptom-limited exercise. The timeline of changes in the pulmonary and intrathoracic pressures during the brief time interval from peak exercise to their measurement in early recovery is not well known and underestimation is possible.

Conflicts of interest

The authors have no conflicts of interest to declare.

Funding

There were no external funding sources for this study.

Acknowledgements

We acknowledge the support of professor Vukov, who performed the statistical analysis.

References
[1]
M.S. Lauer, P.M. Okin, M.G. Larson, J.C. Evans, D. Levy.
Impaired heart rate response to graded exercise: prognostic implications of chronotropic incompetence in the Framingham heart study.
Circulation, 93 (1996), pp. 1520-1526
[2]
M.S. Lauer, G.S. Francis, P.M. Okin, F.J. Pashkow, C.E. Snader, T.H. Marwick.
Impaired chronotropic response to exercise stress testing as a predictor of mortality.
JAMA, 281 (1999), pp. 524-529
[3]
P.J. Kannankeril, F.K. Le, A.H. Kadish, J.J. Goldberger.
Parasympathetic effects on heart rate recovery after exercise.
J Investig Med, 52 (2004), pp. 394-401
[4]
K.P. Savonen, A.T. Lakka, J.A. Laukkanen, P.M. Halonen, T.H. Rauramaa, J.T. Salonen, et al.
Heart rate response during exercise test and cardiovascular mortality in middle-aged men.
Eur Heart J, 27 (2006), pp. 582-588
[5]
B.M. Curtis, J.H. O’Keefe Jr..
Autonomic tone as a cardiovascular risk factor: the dangers of chronic fight or flight.
Mayo Clin Proc, 77 (2002), pp. 45-54
[6]
X. Jouven, J.P. Empana, P.J. Schwartz, M. Desnos, D. Courbon, P. Ducimetière.
Heart rate profile during exercise as a predictor of sudden death.
N Engl J Med, 352 (2005), pp. 1951-1958
[7]
A.G. Stewart, J.C. Waterhouse, P. Howard.
Cardiovascular autonomic nerve function in patients with hypoxaemic chronic obstructive pulmonary disease.
Eur Respir J, 4 (1991), pp. 1207-1214
[8]
M. Gupta, V. Bansal, S. Chhabra.
Abnormal heart rate recovery and chronotropic incompetence on exercise in chronic obstructive pulmonary disease.
Chron Respir Dis, 10 (2013), pp. 117-126
[9]
T.W. Chick, T.G. Cagle, F.A. Vegas, J.K. Poliner, G.H. Murata.
Recovery of gas exchange variables and heart rate after maximal exercise in COPD.
Chest, 97 (1990), pp. 276-279
[10]
N. Seshadri, T.R. Gildea, K. McCarthy, C. Pothier, M.S. Kavuru, M.S. Lauer.
Association of an abnormal exercise heart rate recovery with pulmonary function abnormalities.
Chest, 125 (2004), pp. 1286-1291
[11]
P.J. Schwartz, M.T. La Rovere, E. Vanoli.
Autonomic nervous system and sudden cardiac death: experimental basis and clinical observations for post-myocardial infarction risk stratification.
Circulation, 85 (1992), pp. 177-191
[12]
G. Pelà, M. Calzi, S. Pinelli, Roberta Andreoli, Nicola Sverzellati, Giuseppina Bertorelli, et al.
Left ventricular structure and remodeling in patients with COPD.
Int J Chron Obstruct Pulmon Dis, 11 (2016), pp. 1015-1022
[13]
T.T. Phan, G.N. Shivu, K. Abozguia, C. Davies, M. Nassimizadeh, D. Jimenez, et al.
Impaired heart rate recovery and chronotropic incompetence in patients with heart failure with preserved ejection fraction.
Circ Heart Fail, 3 (2010), pp. 29-34
[14]
S. Hulo, J. Inamo, A. Dehon, O. Rouzic, J. Edme, R. Neviere.
Chronotropic incompetence can limit exercise tolerance in COPD patients with lung hyperinflation.
Int J Chron Obstruct Pulmon Dis, 11 (2016), pp. 2553-2561
[15]
B.R. Celli, C.G. Cote, J.M. Marin, C. Casanova, M. Montes de Oca, R.A. Mendez, et al.
The body-mass index, airflow obstruction, dyspnoea, and exercise capacity index in chronic obstructive pulmonary disease.
New Engl J Med, 350 (2004), pp. 1005-1012
[16]
M.R. Miller, J. Hankinson, V. Brusasco, F. Burgos, R. Casaburi, A. Coates, et al.
Standardisation of spirometry.
Eur Respir J, 26 (2005), pp. 319-338
[17]
GOLD strategy for diagnosis, management and prevention of chronic obstructive pulmonary disease. Executive summary update 2018. Available at: www.goldcopd.org.
[18]
J. Wanger, J.L. Clausen, A. Coates, O.F. Pedersen, V. Brusasco, F. Burgos, et al.
Standardisation of the measurement of lung volumes. Standardisation of the measurement of lung volumes.
Eur Respir J, 26 (2005), pp. 511-522
[19]
R. Pellegrino, G. Viegi, V. Brusasco, R. Crapo, F. Burgos, R. Casaburi, et al.
Interpretative strategies for lung function tests.
European Respir J, 26 (2005), pp. 948-968
[20]
S.P. Kuster, D. Kuster, M.K. Schindler, J. Rochat, L. Braun, O. Brandli.
Reference equations for lung function screening of healthy never-smoking adults aged 18–80 years.
Eur Respir J, 31 (2008), pp. 860-868
[21]
ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories.
ATS statement: guidelines for the six-minute walk test.
Am J Respir Crit Care Med, 166 (2002), pp. 111-117
[22]
M. Guazzi, R. Arena, M. Halle, M. Piepoli, J. Myers, C. Lavie.
2016 focused update: clinical recommendations for cardiopulmonary exercise testing data assessment in specific patient populations.
Circulation, 133 (2016), pp. 694-711
[23]
American Thoracic Society; American College of Chest Physicians.
ATS/ACCP Statement on cardiopulmonary exercise testing.
Am J Respir Crit Care Med, 167 (2003), pp. 211-277
[24]
R. Arena, J. Myers, M. Guazzi.
The clinical and research applications of aerobic capacity and ventilatory efficiency in heart failure: an evidence-based review.
Heart Fail Rev, 13 (2008), pp. 245-269
[25]
B.L. Wilkoff, R.E. Miller.
Exercise testing for chronotropic assessment.
Cardiol Clin, 10 (1992), pp. 705-717
[26]
D.E. Donnell, M. Lam, K.A. Webb.
Measurement of symptoms, lung hyperinflation, and endurance during exercise in chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 158 (1998), pp. 1557-1565
[27]
D.E. O’Donnell, S.M. Revill, K.A. Webb.
Dynamic hyperinflation and exercise intolerance in chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 164 (2001), pp. 770-777
[28]
D.G. Stubbing, L.D. Pengelly, J.L.C. Morse, N.L. Jones.
Pulmonary mechanics during exercise in normal males.
J Appl Physiol, 49 (1980), pp. 506-510
[29]
S. Yan, D. Kaminski, P. Sliwinski.
Reliability of inspiratory capacity for estimating end-expiratory lung volume changes during exercise in patients with chronic obstructive pulmonary disease.
Am J Respir Crit Care Med, 156 (1997), pp. 55-59
[30]
S.F. Nagueh, O.A. Smiseth, C.P. Appleton, B.F. Byrd, H. Dokainish, T. Edvardsen, et al.
Recommendations for the Evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.
Eur Heart J Cardiovasc Imaging, 17 (2016), pp. 1321-1360
[31]
P. Lancellotti, L. Moura, L.A. Pierard, E. Agricola, B.A. Popescu, C. Tribouilloy, et al.
European Association of Echocardiography European Association of Echocardiography recommendations for the assessment of valvular regurgitation. Part 2: mitral and tricuspid regurgitation (native valve disease).
Eur J Echocardiogr, 11 (2010), pp. 307-332
[32]
J.P. Fisher, C.N. Young, P.J. Fadel.
Autonomic adjustments to exercise in humans.
Compr Physiol, 5 (2015), pp. 475-512
[33]
J.H. Coote.
Recovery of heart rate following intense dynamic exercise.
Exp Physiol, 95 (2010), pp. 431-440
[34]
P.K. Stein, P. Nelson, J.N. Rottman, D. Howard, S.M. Ward, R. Kleiger, et al.
Heart ratevariability reflects severity of COPD in PiZ alpha1-antitrypsin deficiency.
Chest, 113 (1998), pp. 327-333
[35]
S.Y. Jae, B. Fernhall, K.S. Heffernan, M. Kang, M.K. Lee, Y.H. Choi, et al.
Chronotropic response to exercise testing is associated with carotid atherosclerosis in healthy middle-aged men.
Eur Heart J, 27 (2006), pp. 954-959
[36]
P.H. Brubaker, D.W. Kitzman.
Chronotropic incompetence:causes, consequences, and management.
Circulation, 123 (2011), pp. 1010-1020
[37]
E.O. Nishime, C.R. Cole, E.H. Blackstone, F.J. Pashkow, M.S. Lauer.
Heart rate recovery and treadmill exercise score as predictors of mortality in patients referred for exercise ECG.
JAMA, 284 (2000), pp. 1392-1398
[38]
M.S. Chen, E.H. Blackstone, C.E. Pothier, M.S. Lauer.
Heart rate recovery and impact of myocardial revascularization on long term mortality.
Circulation, 110 (2004), pp. 2851-2857
[39]
M. Lacasse, F. Maltais, P. Poirier, Y. Lacasse, K. Marquis, J. Jobin, et al.
Post-exercise heart rate recovery and mortality in chronic obstructive pulmonary disease.
Respir Med, 99 (2005), pp. 877-886
[40]
J. De Sutter, N. Van de Veire, I. Elegeert.
Chronotropic incompetence: are the carotid arteries to blame?.
Eur Heart J, 27 (2006), pp. 897-898
[41]
M.R. Bristow, R.E. Hershberger, J.D. Port, E.M. Gilbert, A. Sandoval, R. Rasmussen, et al.
Beta-adrenergic pathways in nonfailing and failing human ventricular myocardium.
Circulation, 82 (1990), pp. I12-I25
[42]
W.S. Colucci, J.P. Ribeiro, M.B. Rocco, R.J. Quigg, M.A. Creager, J.D. Marsh, et al.
Impaired chronotropic response to exercise in patients with congestive heart failure. Role of postsynaptic beta-adrenergic desensitization.
Circulation, 80 (1989), pp. 314-323
[43]
T. Breskovic, C.D. Steinback, A. Salmanpour, J.K. Shoemaker, Z. Dujic.
Recruitment pattern of sympathetic neurons during breath-holding at different lung volumes in apnea divers and controls.
Auton Neurosci, 164 (2011), pp. 74-81
[44]
J.A. Dempsey, A.W. Sheel, C.M. St Croix, B.J. Morgan.
Respiratory influences on sympathetic vasomotor outflow in humans.
Respir Physiol Neurobiol, 130 (2002), pp. 3-20
[45]
S. Andreas, S.D. Anker, P.D. Scanlon, V.K. Somers.
Neurohumoral activation as a link to systemic manifestations of chronic lung disease.
Chest, 128 (2005), pp. 3618-3624
[46]
A.J. van Gestel, M. Kohler, C.F. Clarenbach.
Sympathetic overactivity and cardiovascular disease in patients with chronic obstructive pulmonary disease (COPD).
Discov Med, 14 (2012), pp. 359-368
[47]
N.P. Jouett, D.E. Watenpaugh, M.E. Dunlap, M.L. Smith.
Interactive effects of hypoxia, hypercapnia and lung volume on sympathetic nerve activity in humans.
Exp Physiol, 100 (2015), pp. 1018-1029
[48]
F.A. Da Cunha, T. Farinatti Pde, A.W. Midgley.
Methodological and practical application issues in exercise prescription using the heart rate reserve and oxygen uptake reserve methods.
J Sci Med Sport, 14 (2011), pp. 46-57
[49]
A. Mezzani, U. Corrà, A. Giordano, M. Cafagna, E.P. Adriano, P. Giannuzzi.
Unreliability of the %VO2 reserve versus %heart rate reserve relationship for aerobic effort relative intensity assessment in chronic heart failure patients on or off beta-blocking therapy.
Eur J Cardiovasc Prev Rehabil, 14 (2007), pp. 92-98
[50]
A. Corlateanua, Y. Mendez, Y. Wang, R. Jesus, A. Garnica, V. Botnaru, et al.
Chronic obstructive pulmonary disease andphenotypes: a state-of-the-art.
Pulmonology, 26 (2020), pp. 95-100
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