Literature DB >> 31540240

Exercise Training in Patients with Chronic Respiratory Diseases: Are Cardiovascular Comorbidities and Outcomes Taken into Account?-A Systematic Review.

Ana Machado1,2, Kirsten Quadflieg1, Ana Oliveira2,3,4, Charly Keytsman1,5, Alda Marques2,6, Dominique Hansen1,5,7, Chris Burtin8,9.   

Abstract

Patients with chronic obstructive pulmonary disease (COPD), asthma and interstitial lung diseases (ILD) frequently suffer from cardiovascular comorbidities (CVC). Exercise training is a cornerstone intervention for the management of these conditions, however recommendations on tailoring programmes to patients suffering from respiratory diseases and CVC are scarce. This systematic review aimed to identify the eligibility criteria used to select patients with COPD, asthma or ILD and CVC to exercise programmes; assess the impact of exercise on cardiovascular outcomes; and identify how exercise programmes were tailored to CVC. PubMed, Scopus, Web of Science and Cochrane were searched. Three reviewers extracted the data and two reviewers independently assessed the quality of studies with the Quality Assessment Tool for Quantitative Studies. MetaXL 5.3 was used to calculate the individual and pooled effect sizes (ES). Most studies (58.9%) excluded patients with both stable and unstable CVC. In total, 26/42 studies reported cardiovascular outcomes. Resting heart rate was the most reported outcome measure (n = 13) and a small statistically significant effect (ES = -0.23) of exercise training on resting heart rate of patients with COPD was found. No specific adjustments to exercise prescription were described. Few studies have included patients with CVC. There was a lack of tailoring of exercise programmes and limited effects were found. Future studies should explore the effect of tailored exercise programmes on relevant outcome measures in respiratory patients with CVC.

Entities:  

Keywords:  COPD; ILD; asthma; cardiovascular comorbidities; cardiovascular outcomes; chronic lung disease; chronic obstructive pulmonary disease; exercise; interstitial lung disease

Year:  2019        PMID: 31540240      PMCID: PMC6780679          DOI: 10.3390/jcm8091458

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


1. Background

Chronic obstructive pulmonary disease (COPD), asthma and interstitial lung diseases (ILD) are among the most representative chronic respiratory diseases in the world [1,2]. These diseases affect over 1 billion people and have a significant impact on patientsdisability and quality of life (9.5% of the disability-adjusted life years in 2010 [3]), being a leading contributor to disease burden and one of the top causes of death worldwide (over 3 million deaths in 2016) [2,3,4]. In recent years, the association between chronic respiratory diseases and cardiovascular diseases has attracted huge interest in clinical research [5]. Cardiovascular diseases (e.g., arterial hypertension, coronary artery disease, congestive heart failure, peripheral vascular disease and pulmonary hypertension) are among the most prevalent and impactful comorbidities in patients with COPD (13%–68% of population), asthma (3%–25% of population) and ILD (8%–86% of population) [6,7,8,9,10,11,12,13]. Namely, they are responsible for further impairing patients’ functional status and health-related quality of life, increasing the risk of hospitalization and mortality (hazard ratio 1.1–3.4 [14,15,16,17]), and contributing to a higher economic and societal burden, and worse prognosis [7,9,10,12]. The need to look beyond the lungs while treating these patients is, therefore, evident [18]. In this regard, a comprehensive assessment and management of these cardiovascular comorbidities with tailored interventions has been recommended [7,12,19,20]. Exercise training is a cornerstone intervention in both pulmonary and cardiac rehabilitation [21,22]. It relieves symptoms and improves functionality, exercise tolerance and health-related quality of life in patients with chronic respiratory and cardiovascular diseases [21,22], and therefore might be a promising intervention for the management of patients with these co-occurring conditions. Nevertheless, studies have shown that these effects are usually reduced in patients suffering from chronic respiratory diseases with accompanying cardiovascular comorbidities compared to those without cardiovascular comorbidities [7,19,23]. Moreover, recommendations on how to adjust exercise programmes to co-existing cardiovascular conditions in COPD, asthma and ILD are scarce. Therefore, in order to inform evidence-based statements, this systematic review aimed to: (i) identify the eligibility criteria in terms of cardiovascular disease that have been used to refer patients with COPD, asthma and ILD for studies investigating the effectiveness of exercise programmes of at least 3 months; (ii) assess the impact of at least 3 months of exercise training on cardiovascular outcomes in these patients; and (iii) identify how the exercise programmes have been tailored to patientscardiovascular comorbidities.

2. Methods

2.1. Search Strategy

This systematic review was reported according to the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines [24] and was conducted in two phases. Phase 1 identified the eligibility criteria that have been used to select patients with cardiovascular comorbidities in clinical trials investigating the effectiveness of exercise programmes. Phase 2 assessed the impact of exercise training on cardiovascular outcomes, and identified how the exercise programmes have been tailored to patientscardiovascular comorbidities. A systematic literature search was performed in May 2019 on the following electronic databases: PubMed, Scopus, Web of Science and Cochrane. The search terms were limited to titles, abstracts and keywords/MeSH terms. The full search strategy is presented in Appendix A.

2.2. Eligibility Criteria and Study Selection

For phase 1, studies were included if they (i) studied adult patients with stable COPD, asthma and/or ILD (i.e., 4 weeks without exacerbations); (ii) implemented at least 12 weeks of exercise training (i.e., endurance and/or strength training) as an intervention [25]; (iii) implemented at least 2 directly supervised exercise sessions per week [26]; (iv) were original prospective quantitative studies; and (v) were written in Portuguese, English, French, Dutch or Spanish languages. Retrospective studies, case studies, case series, abstracts and studies involving alternative modalities of exercise (e.g., yoga, tai chi, qigong) were excluded. After removing duplicates, three reviewers (AM, KQ and AO) assessed all the potential studies identified. Studies were selected based on their titles and abstracts. When the title and abstract were potentially relevant to the purpose of the review, the full text was read carefully to decide on its inclusion. A fourth reviewer (CB) was consulted to solve any disagreements. For phase 2, studies included in phase 1 that specified the prevalence of cardiovascular comorbidities (i.e., any cardiovascular condition co-existing with the respiratory disease, identified by doing an objective patients’ assessment, checking their medical records or ask patients to self-report their comorbidities) in the baseline characteristics of the population under study and/or reported at least one cardiovascular outcome (i.e., heart rate, systolic and diastolic blood pressure, flow-mediated dilation, pulse-wave velocity, intima thickness of arteria carotid, cardiac function and structure, heart rate variability, ECG analysis and blood lipid profile) were included.

2.3. Quality Assessment and Data Extraction

Two reviewers (KQ and AO) independently assessed the quality of the studies included in phase 2 with the Quality Assessment Tool for Quantitative Studies, developed by the Effective Public Health Practice Project, Canada [27]. This tool assesses six domains of methodological quality: (i) selection bias; (ii) study design; (iii) confounders; (iv) blinding; (v) data collection methods; and (vi) withdrawals and dropouts [27]. Each domain is rated as “strong”, “moderate” or “weak”, according to a standardized guide, and the overall rating of the study is determined based on the total number of “strong” and “weak” scores [27]. In phase 1, data regarding the eligibility criteria (i.e., inclusion and exclusion criteria) used to select patients for the study were extracted from all included studies. Afterwards, all conditions that would preclude patients’ participation in the exercise programmes, reported either as reasons for inclusion (e.g., absence of severe cardiovascular disease) or exclusion (e.g., presence of severe cardiovascular disease) of these patients, were compiled and reported as exclusion criteria. Additionally, data from the studies included in phase 2 were extracted in a predesigned structured table format comprising the following topics: study (first author, year of publication, country); study design; population (number of participants, diagnosis, age, gender, forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), diffusing capacity for carbon monoxide (DLCO)); intervention (type and intensity of intervention); duration and frequency (duration of the intervention, duration and frequency of sessions); outcome and outcome measure; and results. For the scope of this review, only cardiovascular outcomes and outcome measures were considered.

2.4. Data Analysis and Synthesis

Inter-rater agreement analysis using Cohen’s kappa was used to explore the consistency of the quality assessment performed by the two reviewers. The value of Cohen’s kappa ranges from 0 to 1 and can be interpreted as slight (≤0.2), fair (0.21–0.4), moderate (0.41–0.6), substantial (0.61–0.8), or almost perfect (≥0.81) agreement [28]. The statistical analysis was performed using IBM SPSS 24.0 (IBM, Armonk, New York, NY, USA). Whenever possible, effect sizes (ES) were calculated and a meta-analysis was performed. ES were calculated as Cohens’ d based on the Pre/Post means and standard deviations or mean differences and standard deviations, according to the formula of Morris [29], and interpreted as small (≥0.2), medium (≥0.5) or large (≥0.8) [30]. Meta-analysis was performed on MetaXL 5.3. Pooled effect estimates were calculated with the inverse variance technique assuming a fixed-effects model. The input data were the Cohen’s d value of each study and the respective standard error. The output was the pooled Cohen’s d value and corresponding confidence intervals. Homogeneity among the studies was evaluated using Cochran’s Q test and the I2 statistic.

3. Results

3.1. Study Selection

The literature search provided a total of 50.970 records. After duplicates removal, 29.756 records were screened for relevant content through title and abstract and 29.248 were excluded. The full text of 508 potentially relevant articles was assessed. From these, 180 articles were included in phase 1 and 42 in phase 2 (Figure 1).
Figure 1

PRISMA flowchart of the included studies.

3.2. Phase 1: Criteria Used to Exclude Patients with Cardiovascular Comorbidities from Exercise Programmes

The 180 studies included were conducted between 1987 and 2019. In total, 156 studies included patients with COPD [23,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185], 15 studies included patients with asthma [46,52,63,78,185,186,187,188,189,190,191,192,193,194,195] and 16 studies included patients with ILD [87,185,196,197,198,199,200,201,202,203,204,205,206,207,208,209]. Forty-four different exclusion criteria were found in studies with patients with COPD (Figure 2). From these, exercise-limiting conditions [34,36,40,53,60,61,89,92,104,114,125,134,135,138,148,157,166,167,168,169,170,173,174,179,181,183,184] (n = 27; 17.3%) was the most reported exclusion criterion, followed by general cardiovascular disease [32,39,44,70,74,75,94,100,103,107,109,112,130,152,153,160,164,171] (n = 18; 11.5%) and unstable cardiovascular disease [38,47,53,65,66,98,99,101,108,116,117,118,119,133,137,146,147,180] (n = 18; 11.5%). Thirty-four (21.8%) of the studies [23,48,50,55,63,67,69,73,77,78,79,80,83,84,86,88,91,95,97,110,111,115,122,126,127,132,142,149,150,155,161,165,175,185] did not report any information regarding the eligibility criteria for cardiovascular comorbidities.
Figure 2

Exclusion criteria reported in studies with patients with chronic obstructive pulmonary disease (COPD) (n = 156 studies).

In studies including patients with asthma, 10 different exclusion criteria were found (Figure 3). General cardiovascular disease [186,191,192] (n = 3; 20.0%) was the most reported criterion, followed by contraindications to exercise training and/or testing [194,195] (n = 2; 13.3%). Seven (46.7%) studies [63,78,185,187,189,190,193] did not report information about exclusion criteria.
Figure 3

Exclusion criteria reported in studies with patients with asthma (n = 15 studies).

Studies in patients with ILD reported 10 different exclusion criteria (Figure 4). From these, unstable cardiovascular disease [198,199,202,203,208,209] (n = 6; 37.5%) was the most reported criterion, followed by contraindications to exercise training and/or testing (e.g., unstable angina, recent myocardial infarction or cerebrovascular accident) [201,204,207] (n = 3; 18.8%). Four (25.0%) studies [185,197,205,206] did not report any information about exclusion criteria.
Figure 4

Exclusion criteria reported in studies with patients with interstitial lung diseases (ILD) (n = 16 studies).

In general, 22.8% of the studies [23,48,50,55,63,67,69,73,77,78,79,80,83,84,86,88,91,95,97,110,111,115,122,126,127,132,142,149,150,155,161,165,175,185,187,189,190,193,197,205,206] did not report information about the eligibility criteria, 18.3% of the studies [33,42,54,65,66,72,82,96,98,99,101,108,116,117,118,119,128,137,141,143,145,146,180,182,194,195,200,201,202,203,207,208,209] only excluded patients with acute or unstable cardiovascular comorbidities that contraindicated exercise training, and 58.9% of the studies [31,32,34,35,36,37,38,39,40,41,43,44,45,46,47,49,51,52,53,56,57,58,59,60,61,62,64,68,70,71,74,75,76,81,85,87,89,90,92,93,94,100,102,103,104,105,106,107,109,112,113,114,120,121,123,124,125,129,130,131,133,134,135,136,138,139,140,144,147,148,151,152,153,154,156,157,158,159,160,162,163,164,166,167,168,169,170,171,172,173,174,176,177,178,179,181,183,184,186,188,191,192,196,198,199,204] excluded both stable and unstable cardiovascular comorbidities.

3.3. Phase 2: Impact of Exercise Training on Cardiovascular Outcomes and Design of the Exercise Programmes

3.3.1. Quality Assessment

Results of the methodological quality assessment are presented in Table 1. Most of the studies (n = 24; 57.1%) were of weak quality. The agreement between the two reviewers was substantial (k = 0.72; 95%CI = 0.53–0.91; p < 0.001; percentage of agreement = 85.7%).
Table 1

Quality assessment of the studies included in phase 2 (n = 42) with the Quality Assessment Tool for Quantitative Studies.

StudySelection BiasStudy DesignConfoundersBlindingData Collection MethodWithdrawals and Drop-OutsGlobal Rating
Cochrane et al., 19903113133
Berry et al., 19992233113
Foy et al., 20013133113
Berry et al., 20032112111
Panton et al., 20042133113
Marquis et al., 20082131133
Averna et al., 20093113112
Berry et al., 20103112112
Rejbi et al., 20102123112
Camillo et al., 20112113112
Lan et al., 20113223133
Corhay et al., 20123232123
Georgiopoulou et al., 201222NA3112
Lan et al., 201322NA3133
Cheng et al., 201432NA3133
Gaunaurd et al., 20143113113
Vainshelboim et al., 20143113113
Borghi-Silva et al., 20152112111
Campos et al., 201522NA3112
Leite et al., 20152113133
Marcellis et al., 201522NA3122
Mkacher et al., 20152113112
Spielmanns et al., 20153112133
Vainshelboim et al., 20152113112
Boström et al., 20163112112
Cardoso et al., 20162133113
El-Kader et al., 20163113113
Engel et al., 20163111112
Boeselt et al., 20173113123
Kanao et al., 201732NA3113
Pacheco et al., 201723NA3113
Papp et al., 20173133123
Vainshelboim et al., 20172113112
Vasilopoulou et al., 20173133113
Lan et al., 201832NA3113
Moezy et al., 20183113113
Naz et al., 2018a22NA3112
Naz et al., 2018b3113113
Silva et al., 20182113112
Charikiopoulou et al., 20192233113
Mekki et al., 20192112122
Silva et al., 20192113112

Legend: 1 = strong quality; 2 = moderate quality; 3 = weak quality; NA, not applicable.

3.3.2. Study Characteristics

Characteristics of the included studies are shown in Table 2, Table 3 and Table 4. From the 42 included studies, 32 studies included patients with COPD [33,37,42,43,44,48,49,53,54,55,57,59,68,80,85,90,101,104,106,107,108,120,121,123,124,128,129,136,146,147,151,167], two studies included patients with asthma [186,189] and eight studies included patients with ILD [196,198,201,202,203,207,208,209]. Most studies were randomized controlled trials (n = 24; 57.1%) [37,43,44,49,53,80,85,120,121,123,124,129,146,147,151,167,186,189,196,198,202,207,208,209].
Table 2

Characteristics of the studies in patients with COPD included in phase 2 (i.e., studies that specified the prevalence of cardiovascular comorbidities in the baseline characteristics of the population under study and/or reported at least one cardiovascular outcome) (n = 32).

Study and CountryStudy DesignPopulationInterventionDuration and FrequencyCardiovascular Outcomes and Outcome MeasuresResults on Cardiovascular Outcomes
Berry et al., 1999United States of AmericaNon-controlled study151 patients with COPDMild disease group: 99 (54♂;67.4 ± 6.1 years; FEV1 68.0 ± 1.2%pred)Arterial hypertension: n = 44Circulatory problems: n = 14Coronary heart disease: n = 34Moderate disease group: 36 (22♂;68.3 ± 6.2 years; FEV1 41.9 ± 0.7%pred)Arterial hypertension: n = 16Circulatory problems: n = 5Coronary heart disease: n = 12Severe disease group: 16 (10♂;66.1 ± 5.6 years; FEV1 30.1 ± 0.9%pred)Arterial hypertension: n = 7Circulatory problems: n = 2Coronary heart disease: n = 8All groups: Aerobic and strength trainingDyspnoea 3–4 in the mBorgAll groups:12 weeks3 sessions/week1 h/session
Foy et al., 2001United States of AmericaRandomized controlled trial140 patients with COPDShort-term intervention group: 70 (39♂;66.9 ± 5.9 years; FEV1 59.1 ± 17.2%pred)Arterial hypertension: n = 29Circulatory problems: n = 14Cardiovascular disease: n = 27Long-term intervention group: 70 (39♂;68.4 ± 6.0 years; FEV1 57.6 ± 18.4%pred)Arterial hypertension: n = 32Circulatory problems: n = 9Cardiovascular disease: n = 24All groups:Aerobic and strength trainingDyspnoea 3–4 in the mBorg3 sessions/week55–65 min/sessionShort-term intervention group: 12 weeksLong-term intervention group: 72 weeks
Berry et al., 2003United States of AmericaRandomized controlled trial140 patients with COPDShort-term intervention group: 70 (39♂;66.9, 95%CI (65.5; 68.3) years; FEV1 59.1, 95%CI (55.0; 63.2)%pred)Arterial hypertension: n = 29Circulatory problems: n = 14Cardiovascular disease: n = 27Long-term intervention group: 70 (39♂;68.4, 95%CI (67.0; 69.8) years; FEV1 57.6, 95%CI (53.2; 62.0)%pred)Arterial hypertension: n = 32Circulatory problems: n = 9Cardiovascular disease: n = 24All groups:Aerobic and strength trainingDyspnoea 3–4 in the mBorg3 sessions/week1 h/sessionShort-term intervention group 1: 3 monthsLong-term intervention group: 18 months
Panton et al., 2004United States of AmericaNon-randomized controlled trial17 patients with COPDAerobic training group: 8 (2♂;63.0 ± 8.0 years; FEV1 39.5 ± 31.9%pred)Aerobic+strength training group: 9 (6♂;61.0 ± 7.0 years; FEV1 41.9 ± 16.0%pred)Aerobic training group: Aerobic training50%–70% of HR reserveAerobic+strength training group: Aerobic and strength training50%–70% of HR reserve12 weeksAerobic training group: 2 sessions/week60 min/sessionAerobic + strength training group: 4 sessions/week (2 of each training)45–60 min/sessionRate pressure productAerobic training group: Pre 177.0 ± 29.0 vs. Post 186.0 ± 30.0, p > 0.05ES = 0.31Aerobic+strength training group: Pre 195.0 ± 35.0 vs. Post 199.0 ± 35.0, p > 0.05ES = 0.11
Total blood cholesterol (mg/dl)Aerobic training group: Pre 217.0 ± 46.0 vs. Post 217.0 ± 46.0, p > 0.05ES = 0.00Aerobic+strength training group: Pre 201.0 ± 34.0 vs. Post 193.0 ± 23.0, p > 0.05ES = −0.28
Cholesterol – HDL (mg/dl)Aerobic training group: Pre 62.0 ± 21.0 vs. Post 62.0 ± 20.0, p > 0.05ES = 0.00Aerobic+strength training group: Pre 55.0 ± 16.0 vs. Post 53.0 ± 12.0, p > 0.05ES = −0.14
Cholesterol – LDL (mg/dl)Aerobic training group: Pre 129.0 ± 34.0 vs. Post 132.0 ± 35.0, p > 0.05ES = 0.09Aerobic+strength training group: Pre 122.0 ± 21.0 vs. Post 118.0 ± 15.0, p > 0.05ES = −0.22
Cholesterol – Triglycerides (mg/dl)Aerobic training group: Pre 151.0 ± 65.0 vs. Post 185.0 ± 87.0, p < 0.05ES = 0.44Aerobic+strength training group: Pre 141.0 ± 132.0 vs. Post 135.0 ± 73.0, p > 0.05ES = −0.06
Total cholesterol/HDL ratioAerobic training group: Pre 3.8 ± 1.1 vs. Post 3.9 ± 1.1, p > 0.05ES = 0.09Aerobic+strength training group: Pre 3.8 ± 0.8 vs. Post 3.8 ± 0.8, p > 0.05ES = 0.00
Marquis et al., 2008CanadaRandomized controlled trial16 patients with COPDIrbesartan+exercise group: 10 (7♂;67.0 ± 7.0 years; FEV1 50.0 ± 19.0%pred; FVC 63.0 ± 16.0%pred; DLCO 80.0 ± 19.0%pred)Placebo+exercise group: 6 (1♂;72.0 ± 5.0 years; FEV1 39.0 ± 9.0%pred; FVC 63.0 ± 15.0%pred; DLCO 63.0 ± 18.0%pred)All groups:Aerobic training80% of WRmaxAll groups:12 weeks3 sessions/week30 min/sessionSystolic blood pressure at rest (mmHg)Irbesartan+exercise group: Pre 151.0 ± 19.0 vs. Post131.0 ± 18.0, p < 0.05ES = −1.08Placebo+exercise group: Pre 140.0 ± 15.0 vs. Post136.0 ± 15.0, p > 0.05ES = −0.27
Mean systolic blood pressure during 24 h (mmHg)Irbesartan+exercise group: Pre 135.0 ± 9.0 vs. Post 126.0 ± 12.0, p < 0.01ES = −0.85Placebo+exercise group: Pre 130.0 ± 14.0 vs. Post 128.0 ± 8.0, p > 0.05ES = −0.18
Mean systolic blood pressure at daytime (mmHg)Irbesartan+exercise group: Pre 139.0 ± 11.0 vs. Post 129.0 ± 15.0, p < 0.01ES = −0.76Placebo+exercise group: Pre 130.0 ± 14.0 vs. Post 131.0 ± 8.0, p > 0.05ES = 0.09
Mean systolic blood pressure at nighttime (mmHg)Irbesartan+exercise group: Pre 125.0 ± 8.0 vs. Post 121.0 ± 10.0, p > 0.05ES = −0.44Placebo+exercise group: Pre 128.0 ± 16.0 vs. Post 121.0 ± 9.0, p > 005ES = −0.54
Diastolic blood pressure at rest (mmHg)Irbesartan+exercise group: Pre 78.0 ± 8.0 vs. Post 71.0 ± 10.0, p < 0.05ES = −0.77Placebo+exercise group: Pre 72.0 ± 8.0 vs. Post 68.0 ± 10.0, p > 0.05ES = −0.44
Mean diastolic blood pressure during 24 h (mmHg)Irbesartan+exercise group: Pre 76.0 ± 9.0 vs. Post 72.0 ± 8.0, p < 0.05ES = −0.47Placebo+exercise group: Pre 70.0 ± 3.0 vs. Post 70.0 ± 8.0, p > 0.05ES = 0.00
Mean diastolic blood pressure at daytime (mmHg)Irbesartan+exercise group: Pre 80.0 ± 11.0 vs. Post 74.0 ± 10.0, p < 0.05ES = −0.84Placebo+exercise group: Pre 71.0 ± 2.0 vs. Post 72.0 ± 7.0, p > 0.05ES = 0.19
Mean diastolic blood pressure at nighttime (mmHg)Irbesartan+exercise group: Pre 68.0 ± 6.0 vs. Post 67.0 ± 7.0, p > 0.05ES = −0.15Placebo+exercise group: Pre 66.0 ± 6.0 vs. Post 65.0 ± 8.0, p > 0.05ES = −0.14
Standard deviation of all NN intervals (ms)Irbesartan+exercise group: Pre 102.0 ± 28.0 vs. Post 144.0 ± 36.0, p > 0.05ES = 1.30Placebo+exercise group: Pre 121.0 ± 27.0 vs. Post 113.0 ± 38.0, p > 0.05ES = −0.24
Adjacent normal-to-normal (NN) intervals differing by more than 50 ms (%)Irbesartan+exercise group: Pre 9.0 ± 9.0 vs. Post 9.0 ± 8.0, p > 0.05ES = 0.00Placebo+exercise group: Pre 10.0 ± 9.0 vs. Post 10.0 ± 8.0, p > 0.05ES = 0.00
Square root of the mean squared differences of successive NN intervals (ms)Irbesartan+exercise group: Pre 30.0 ± 12.0 vs. Post 29.0 ± 11.0, p > 0.05ES = −0.09Placebo+exercise group: Pre 31.0 ± 11.0 vs. Post 30.0 ± 10.0, p > 0.05ES = −0.10
Very low frequency (ms)Irbesartan+exercise group: Pre 3.3 ± 0.2 vs. Post 3.3 ± 0.2, p > 0.05ES = 0.00Placebo+exercise group: Pre 3.1 ± 0.2 vs. Post 3.1 ± 0.5, p > 0.05ES = 0.07
Low frequency (ms)Irbesartan+exercise group: Pre 2.9 ± 0.3 vs. Post 2.9 ± 0.3, p > 0.05ES = −0.03Placebo+exercise group: Pre 2.8 ± 0.4 vs. Post 2.8 ± 0.4, p > 0.05ES = 0.02
High frequency (ms)Irbesartan+exercise group: Pre 2.4 ± 0.3 vs. Post 2.4 ± 0.4, p > 0.05ES = −0.03Placebo+exercise group: Pre 2.4 ± 0.4 vs. Post 2.4 ± 0.5, p > 0.05ES = −0.12
Low frequency/High frequency ratioIrbesartan+exercise group: Pre 3.0 ± 1.3 vs. Post 3.1 ± 1.3, p > 0.05ES = 0.08Placebo+exercise group: Pre 2.1 ± 1.0 vs. Post 2.4 ± 1.0, p > 0.05ES = 0.27
Averna et al., 2009ItalyRandomized controlled trial56 patients with COPD (29♂;69.0 ± 5.0 years; FEV1 82.0 ± 16.6%pred; FVC 91.0 ± 17.4%pred)Aerobic and strength training40%–50% of HR reserve50% of 1 RM12 weeks3 sessions/week60 min/sessionHR at rest (bpm)Pre 65.0 ± 10.0 vs. Post 65.0 ± 9.0, p = 0.64ES = 0.00
Systolic blood pressure at rest (mmHg)Pre 137.0 ± 12.0 vs. Post 131.0 ± 12.0, p = 0.001ES = −0.70
Diastolic blood pressure at rest (mmHg)Pre 84.0 ± 6.0 vs. Post 80.0 ± 7.0, p = 0.001ES = −0.61
Berry et al., 2010United States of AmericaRandomized controlled trial89 patients with COPD (48♂;66.0 ± 10.0 years; FEV1 53.0 ± 18.5%pred)Arterial hypertension: n = 47Circulatory problems: n = 17Cardiovascular disease: n = 39Aerobic and strength trainingDyspnoea 3–5 in the mBorg12 weeks3 sessions/week1 h/session
Rejbi et al., 2010TunisiaNon-randomized controlled trial26 patients with COPD (61.0 ± 4.0 years; FEV1 48.9 ± 11.3%pred; FVC 58.8 ± 9.8%pred)Pulmonary rehabilitationHR of the gas exchange threshold3 months3 sessions/week45 min/sessionHR at rest (bpm)Pre 75.6 ± 13.9 vs. Post 76.5 ± 14.0, p > 0.05ES = 0.06
Camillo et al., 2011BrazilRandomized controlled trial40 patients with COPDHigh-intensity group: 20 (10♂;67.0 ± 7.0 years; FEV1 40.0 ± 13.0%pred) Low-intensity group: 20 (11♂;65.0 ± 10.0 years; FEV1 39.0 ± 14.0%pred)High-intensity group: Aerobic and strength training60% of WRmax75% of average walking speed in the 6MWT70% of 1RMLow-intensity group: Strength trainingAll groups:12 weeks3 sessions/week1 h/sessionStandard deviation of N-N intervals (ms)High-intensity group: Pre 29.0 ± 15.0 vs. Post 36.0 ± 19.0, p < 0.05ES = 0.41Low-intensity group: Pre 25.0 ± 12.0 vs. Post 22.0 ± 10.0, p > 0.05ES = −0.27
Square root of the mean squared difference of the successive N-N intervals (ms)High-intensity group: Pre 22.0 ± 14.0 vs. Post 28.0 ± 22.0, p < 0.05ES = 0.33Low-intensity group: Pre 22.0 ± 22.0 vs. Post 19.0 ± 14.0, p > 0.05ES = −0.16
Low frequency in supine (%)High-intensity group: Pre 44.0 ± 15.0 vs. Post 42.0 ± 24.0, p > 0.05ES = −0.10Low-intensity group: Pre 48.0 ± 19.0 vs. Post 43.0 ± 19.0, p > 0.05ES = −0.26
Low frequency in orthostatic (%)High-intensity group: Pre 55.0 ± 21.0 vs. Post 50.0 ± 20.0, p > 0.05ES = −0.24Low-intensity group: Pre 58.0 ± 15.0 vs. Post 62.0 ± 20.0, p > 0.05ES = 0.23
High frequency in supine (%)High-intensity group: Pre 56.0 ± 15.0 vs. Post 58.0 ± 24.0, p > 0.05ES = 0.10Low-intensity group: Pre 51.0 ± 19.0 vs. Post 56.0 ± 19.0, p > 0.05ES = 0.26
High frequency in orthostatic (%)High-intensity group: Pre 44.0 ± 21.0 vs. Post 50.0 ± 20.0, p > 0.05ES = 0.29Low-intensity group: Pre 41.0 ± 15.0 vs. Post 37.0 ± 20.0, p > 0.05ES = −0.23
Low frequency/High frequency ratio in supineHigh-intensity group: Pre 0.9 ± 0.8 vs. Post 1.3 ± 1.5, p > 0.05ES = 0.60Low-intensity group: Pre 1.2 ± 0.9 vs. Post 1.1 ± 1.2, p > 0.05ES = −0.09
Low frequency/High frequency ratio in orthostaticHigh-intensity group: Pre 2.3 ± 3.1 vs. Post 1.3 ± 0.9, p > 0.05ES = −0.44Low-intensity group: Pre 1.7 ± 1.0 vs. Post 2.8 ± 2.8, p > 0.05ES = 0.52
Lan et al., 2011TaiwanNon-controlled study44 patients with COPDUnderweight group: 22 (21♂;69.1 ± 12.0 years; FEV1 52.8 ± 17.1%pred; FVC 79.5 ± 21.4%pred)Non-underweight group: 22 (21♂;71.4 ± 7.5 years; FEV1 51.5 ± 13.3%pred; FVC 79.1 ± 15.1%pred)All groups:Pulmonary rehabilitation50%–75% of VO2peakAll groups:12 weeks2 sessions/week40–50 min/sessionHR at rest (bpm)Underweight group: Pre 85.2 ± 13.0 vs. Post 83.1 ± 11.7, p = 0.315ES = −0.17Non-underweight group: Pre 88.2 ± 11.6 vs. Post 86.0 ± 10.8, p = 0.029ES = −0.20
Corhay et al., 2012BelgiumNon-controlled study140 patients with COPD<65 years group: 69 (42♂;57.6 ± 5.2 years; FEV1 38.1 ± 10.8%pred)Cardiovascular disease: n = 1965–74 years group: 50 (36♂;69.5 ± 2.6 years; FEV1 39.5 ± 11.7%pred)Cardiovascular disease: n = 23≥75 years group: 21 (17♂;77.4 ± 2.5 years; FEV1 39.9 ± 9.2%pred)Cardiovascular disease: n = 14All groups:Pulmonary rehabilitation50%–80% of WRmax60% of maximal walking speed in the 6MWT50% of 1RMAll groups:6 months2–3 sessions/week2 h/session
Georgiopoulou et al., 2012GreecePre-Post study45 patients with COPD (40♂;66.5 ± 7.6 years; FEV1 45.7 ± 18.7%pred; FVC 78.3 ± 18.6%pred)Pulmonary rehabilitation60%–80% of WRmax12 weeks3 sessions/week40 min/sessionHR at rest (bpm)Pre 88.0 ± 10.7 vs. Post 83.3 ± 10.5, p = 0.004ES = −0.63
HR recovery (bpm)Pre 16.2 ± 8.0 vs. Post 18.4 ± 8.4, p = 0.01ES = 0.27
Lan et al., 2013TaiwanPre-Post study26 patients with COPD (71.0 ± 10.7 years; FEV1 64.8 ± 23.0%pred; FVC 88.3 ± 34.5%pred)Pulmonary rehabilitation75%–100% of VO2max12 weeks2 sessions/week40 min/sessionHR (bpm)Pre 134.5 ± 14.9 vs. Post 137.4 ± 19.9, p = 0.36ES = 0.16
Mean blood pressure (mmHg)Pre 109.6 ± 15.7 vs. Post 110.3 ± 15.1, p = 0.72ES = 0.05
Oxygen pulse (ml/beat)Pre 9.2 ± 2.5 vs. Post 9.8 ± 2.7, p = 0.02ES = 0.23
Cheng et al., 2014TaiwanPre-Post study64 patients with COPD (55♂;70.1 ± 8.7 years; FEV1 44.9 ± 11.7%pred; FVC 78.2 ± 17.4%pred)Pulmonary rehabilitation60%–100% of VO2peak12 weeks2 sessions/week50 min/sessionHR at rest (bpm)Pre 87.2 ± 12.7 vs. Post 83.9 ± 13.5, p = 0.048ES = −0.25
Oxygen pulse (ml/beat)Pre 7.2 ± 1.9 vs. Post 7.9 ± 2.2, p = 0.005ES = 0.34
Oxygen pulse (%)Pre 76.8 ± 18.4 vs. Post 85.2 ± 24.8, p = 0.003ES = 0.38
Standard deviation of N-NAt rest: Pre vs. Post, p < 0.05At exercise: Pre vs. Post, p < 0.05
Square root of the mean sum of the squares of the difference between adjacent normal R-R intervalsAt rest: Pre vs. Post, p < 0.05At exercise: Pre vs. Post, p < 0.05
Low frequencyAt rest: Pre vs. Post, p < 0.05At exercise: Pre vs. Post, p < 0.05
High frequencyAt rest: Pre vs. Post, p < 0.05At exercise: Pre vs. Post, p < 0.05
Low frequency/High frequency ratioAt rest: Pre vs. Post, p < 0.05At exercise: Pre vs. Post, p < 0.05
Borghi-Silva et al., 2015BrazilRandomized controlled trial10 patients with COPD (7♂;67.0 ± 7.0 years; FEV1 32.0 ± 11.0%pred; FVC 58.0 ± 15.0%pred)Aerobic training70% of peak speed in CPET12 weeks3 sessions/week30 min/sessionMean of RR and its standard deviation at rest (ms)Pre 17.2 ± 7.3 vs. Post 25.4 ± 5.5, p < 0.05ES = 1.27
Mean of RR and its standard deviation at constant speed (ms)Pre 12.7 ± 5.1 vs. Post 18.3 ± 4.7, p > 0.05ES = 1.14
Square root of the mean squared differences of successive RRi at rest (ms)Pre 11.7 ± 6.0 vs. Post 22.9 ± 0.2, p < 0.05ES = 2.64
Square root of the mean squared differences of successive RRi at constant speed (ms)Pre 3.5 ± 1.7 vs. Post 16.9 ± 7.0, p < 0.05ES = 2.63
Nonlinear indices – SD1 at restPre 7.1 ± 4.2 vs. Post 19.2 ± 11.8, p < 0.05ES = 1.37
Nonlinear indices – SD1 at constant speedPre 3.7 ± 1.7 vs. Post 13.6 ± 8.8, p < 0.05ES = 1.56
Nonlinear indices – SD2 at restPre 31.2 ± 6.6 vs. Post 46.1 ± 22.0, p < 0.05ES = 0.92
Nonlinear indices – SD2 at constant speedPre 17.3 ± 5.9 vs. Post 25.4 ± 6.5, p < 0.05ES = 1.30
Low frequency (nu)Pre 0.6 ± 0.2 vs. Post 0.5 ± 0.2, p > 0.05ES = −0.60
High frequency (nu)Pre 0.4 ± 0.2 vs. Post 0.5 ± 0.2, p > 0.05ES = 0.60
Low frequency/High frequency ratioPre 2.4 ± 2.3 vs. Post 1.8 ± 1.7, p > 0.05ES = −0.31
Sample entropyPre 0.7 ± 0.2 vs. Post 0.9 ± 0.2, p > 0.05ES = 1.03
Campos et al., 2015ChilePre-Post study39 patients with COPD (36%♂;67.3 ± 8.5 years; FEV1 59.8 ± 21.0%pred; FVC 78.0 ± 20.3%pred)Arterial hypertension: n = 31Dyslipidemia: n = 5Congestive heart failure: n = 3Pulmonary rehabilitation70%–80% of 6MWT12 weeks2 sessions/week90 min/session
Leite et al., 2015BrazilNon-randomized controlled trial10 patients with COPD (62.0 (60.3; 69.3) years; FEV1 55.0 (39.0; 70.0)%pred; FVC 78.0 (66.3; 83.5)%pred)Aerobic training60%–100% of VO2peak12 weeks3 sessions/week20–50 min/sessionStandard deviation of the mean of all normal RR intervals (ms)Pre 19.8 ± 6.2 vs. Post 24.9 ± 8.6, p > 0.05ES = 0.67
Root mean square of differences between adjacent normal RR intervals in a time interval (ms)Pre 14.2 ± 5.7 vs. Post 18.3 ± 6.2, p > 0.05ES = 0.69
Spectral component of low frequency (ms2)Pre146.1 ± 118.9 vs. Post 177.7 ± 125.6, p > 0.05ES = 0.26
Spectral component of low frequency (nu)Pre 67.5 ± 16.0 vs. Post 58.5 ± 13.6, p > 0.05ES = −0.61
Spectral component of high frequency (ms2)Pre 62.3 ± 46.8 vs. Post 113.2 ± 62.2, p < 0.05ES = 0.92
Spectral component of high frequency (nu)Pre 32.6 ± 15.9 vs. Post 41.5 ± 13.6, p > 0.05ES = 0.60
Low frequency/High frequency ratioPre 2.9 ± 2.2 vs. Post 1.6 ± 0.8, p > 0.05ES = −0.78
Mkacher et al., 2015TunisiaRandomized controlled trial68 patients with COPDPulmonary rehabilitation group: 33 (33♂;61.2 ± 3.2 years; FEV1 38.6 ± 8.6%pred)Pulmonary rehabilitation+balance group: 35 (35♂;58.3 ± 4.3 years; FEV1 39.4 ± 10.3%pred)All groups:Pulmonary rehabilitationAll groups:6 months6 sessions/week (3 times/week, 2 sessions/day)HR at rest (bpm)Pulmonary rehabilitation group: Pre 72.7 ± 8.9 vs. Post 73.0 ± 4.3, p > 0.05ES = 0.04Pulmonary rehabilitation+balance group: Pre 75.3 ± 3.9 vs. Post 73.5 ± 4.5, p > 0.05ES = −0.43
Spielmanns et al., 2015GermanyRandomized controlled trial36 patients with COPDCompressed air group: 17 (64.0 ± 8.4 years; FEV1 43.0 ± 12.0%pred)Arterial hypertension: n = 7Cardiovascular disease: n = 2Oxygen group: 19 (65.0 ± 8.7 years; FEV1 44.0 ± 10.0%pred)Arterial hypertension: n = 8Cardiovascular disease: n = 4All groups:Continuous aerobic training70%–85% of WRmaxInterval aerobic training110%–125% of WRmaxAll groups:24 weeks3 sessions/week30 min/session
Cardoso et al., 2016BrazilNon-randomized controlled trial10 patients with COPD (65.2 ± 4.2 years; FEV1 41.8 ± 21.3%pred; FVC 60.7 ± 18.0%pred)Arterial hypertension: n = 7Pulmonary rehabilitation75% of WRmax60% of 1RM12 weeks3 sessions/week>30 min/session
Engel et al., 2016AustraliaRandomized controlled trial33 patients with COPD (10♂;65.5 ± 4.0 years; FEV1 1.6 ± 0.5 L; FVC 2.3 ± 0.7 L)Pulmonary rehabilitation16 weeksSystolic blood pressure (mmHg)Mean Pre/Post differenceGroup 1: −3.6, 95%CI (−13.5; 6.3)Group 2: −10.6, 95%CI (−19.6; −1.5)Group 3: −8.3, 95%CI (−20.5; 3.8)
Diastolic blood pressure (mmHg)Mean Pre/Post differenceGroup 1: −3.5, 95%CI (−12.6; 5.6)Group 2: −7.7, 95%CI (−17.1; 1.8)Group 3: −4.7, 95%CI (−13.5; 4.2)
Boeselt et al., 2017GermanyNon-randomized controlled trial20 patients with COPD (16♂;65.9 ± 8.2 years; FEV1 67.9 ± 29.2%pred)Arterial hypertension: n = 5Cardiovascular disease: n = 2Strength training35%–75% of 1RM3 months2 sessions/week90 min/session
Kanao et al., 2017JapanPre-Post study29 patients with COPD (26♂;73.2 ± 5 years; FEV1 51.0 ± 121.3%pred)Arterial hypertension: n = 10Cardiovascular disease: n = 5Pulmonary rehabilitation60% of WRpeak12 weeks2 sessions/week
Pacheco et al., 2017SpainObservational study35 patients with COPD (88.6%♂; 65.1 ± 9.0 years; FEV1 42.2 ± 10.5; FVC 67.8 ± 13.3%pred; DLCO 47.9 ± 21.0%predArterial hypertension: n = 20Dyslipidemia: n = 6Congestive heart failure: n = 7Ischemic cardiomyopathy: n = 3Pulmonary rehabilitation70% of WRmax75% of 1RM12 weeks3 sessions/week>30 min/session
Papp et al., 2017SwedenRandomized controlled trial17 patients with COPD (7♂;69.0 (62.0; 72.1) years; FEV1 64.3 ± 15.4%pred)Aerobic and strength training70% of 1RMPerceived exertion 12–14 in the Borg12 weeks2 sessions/week60–70 min/sessionHR at rest (bpm)Mean Pre/Post difference 0.6, p = 0.82
Systolic blood pressure at rest (mmHg)Mean Pre/Post difference 4.2
Diastolic blood pressure at rest (mmHg)Mean Pre/Post difference 5.7, p = 0.04
Number of pairs of adjacent NN intervals differing by more than 50 ms in the 5 min recording divided by the total number of all NN intervals (%)Mean Pre/Post difference 0.6, p = 0.56
Square root of the mean of the sum of the squares of differences between adjacent NN intervalsMean Pre/Post difference −3.2, p = 0.27
Vasilopoulou et al., 2017GreeceRandomized controlled trial50 patients with COPD (38♂;66.7 ± 7.3 years; FEV1 51.8 ± 17.3%pred; FVC 78.4 ± 18.4%pred; DLCO 57.0 ± 20.4%pred)Cardiovascular disease: n = 15Pulmonary rehabilitation12 months2 sessions/week
Lan et al., 2018TaiwanPre-Post study43 patients with COPD (31♂;69.7 ± 8.8 years; FEV1 49.5 ± 19.9%pred; FVC 76.5 ± 22.3%pred)Pulmonary rehabilitation12 weeks2 sessions/week40 min/sessionHR at restPre vs. Post p > 0.05
Mean blood pressure at restPre vs. Post p < 0.05
Oxygen pulsePre vs. Post p < 0.05
Moezy et al., 2018IranRandomized controlled trial14 patients with COPD (71.4%♂;64.7 ± 7.5 years; FEV1 60.2 ± 14.0%pred)Aerobic trainingDyspnoea 3–4 in the mBorg12 weeks3 sessions/week15–60 min/sessionHR at rest (bpm)Pre 80.4 ± 12.6 vs. Post 77.8 ± 11.9, p = 0.968ES = −0.21
Silva et al., 2018BrazilRandomized controlled trial48 patients with COPDElastic resistances group: 32 (69.4 ± 9.0 years; FEV1 50.7 ± 16.7%pred; FVC 72.5 ± 13.2%pred)Weight machines group: 16 (64.9 ± 11.2 years; FEV1 45.4 ± 15.2%pred; FVC 66.1 ± 14.0%pred)All groups:Strength trainingAll groups:12 weeks3 sessions/week60 min/sessionTotal cholesterol (mg/dL)Elastic resistances group: Pre 108.4 ± 25.3 vs. Post 104.6 ± 14.3, p > 0.05ES = −0.18Weight machines group: Pre 84.6 ± 27.0 vs. Post 71.1 ± 32.0, p > 0.05ES = −0.46
Cholesterol – HDL (mg/dL)Elastic resistances group: Pre 58.4 ± 23.2 vs. Post 63.4 ± 17.3, p > 0.05ES = 0.24Weight machines group: Pre 132.3 ± 43.6 vs. Post 150.3 ± 52.3, p > 0.05ES = 0.37
Cholesterol – Triglycerides (mg/dL)Elastic resistances group: Pre 154.2 ± 62.3 vs. Post 129.7 ± 40.3, p > 0.05ES = −0.47Weight machines group: Pre 104.8 ± 38.4 vs. Post 99.9 ± 32.9, p > 0.05ES = −0.14
Total cholesterol/HDL ratio (mg/dL)Elastic resistances group: Pre 50.7 ± 39.9 vs. Post 40.9 ± 25.8, p > 0.05ES = −0.29Weight machines group: Pre 71.9 ± 31.2 vs. Post 61.3 ± 15.4, p > 0.05ES = −0.43
Charikiopoulou et al., 2019GreeceNon-controlled study32 patients with COPD (25♂; 66.0 ± 6.0 years; FEV1 43.1 ± 15.1%pred; DLCO 38.2 ± 22.8%pred)Cardiovascular disease: n = 22Pulmonary rehabilitation100% of WRmax13 weeks2 sessions/week≥1 h/session
Mekki et al., 2019TunisiaRandomized controlled trial45 patients with COPDPulmonary rehabilitation+NMES group: 25 (25♂;59.6 ± 4.8 years; FEV1 57.7 ± 14.4%pred; FVC 76.0 ± 13.2%pred)Pulmonary rehabilitation group: 20 (20♂;59.5 ± 3.1 years; FEV1 57.1 ± 10.2%pred; FVC 75.9 ± 7.8%pred)All groups:Pulmonary rehabilitation60%–70% of HRmax in the 6MWT50%–85% of 10RMAll groups:6 months3 sessions/week80 min/sessionHR at rest (bpm)Pulmonary rehabilitation+NMES group: Pre 80.0 ± 9.0 vs. Post 78.0 ± 9.0, p < 0.001ES = −0.22Pulmonary rehabilitation group: Pre 80.0 ± 7.0 vs. Post 77.0 ± 7.0, p < 0.001ES = −0.43
Silva et al., 2019BrazilRandomized controlled trial19 patients with COPDElastic resistances group: 9 (65.9 ± 8.9 years; FEV1 45.2 ± 16.2%pred; FVC 64.7 ± 19.0%pred)Weight machines group: 10 (65.5 ± 9.8 years; FEV1 57.6 ± 16.3%pred; FVC 79.8 ± 11.5%pred)All groups:Strength trainingAll groups:12 weeks3 sessions/week60 min/sessionHR (bpm)Elastic resistances group: Pre 74.1 ± 8.8 vs. Post 76.8 ± 8.9, p > 0.05ES = 0.30Weight machines group: Pre 71.4 ± 6.4 vs. Post 68.9 ± 9.9, p > 0.05ES = −0.30
Systolic blood pressure (mmHg)Elastic resistances group: Pre 120.0 (105.0; 135.0) vs. Post 120.0 (110.0; 120.0), p > 0.05Weight machines group: Pre 120.0 (117.5; 130.0) vs. Post 120.0 (110.0; 120.0), p > 0.05
Diastolic blood pressure (mmHg)Elastic resistances group: Pre 70.0 (70.0; 80.0) vs. Post 70.0 (70.0; 75.0), p > 0.05Weight machines group: Pre 80.0 (70.0; 90.0) vs. Post 75.0 (67.5; 80.0), p > 0.05

Data are presented as mean ± standard deviation or median (interquartile range), unless otherwise stated. Legend: 6MWT, 6-min walk test; 12MWT, 12-min walk test; 1RM, one repetition maximum; 10RM, ten repetition maximum; 15RM, fifteen repetition maximum; 95%CI, 95% confidence interval; %pred, percentage predicted; COPD, chronic obstructive pulmonary disease; CPET, cardiopulmonary exercise test; DLCO, diffusing capacity for carbon monoxide; ES, effect size; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; HDL, high density lipoprotein; HR, heart rate; HRmax, maximum heart rate; ILD, interstitial lung disease; IPF, idiopathic pulmonary fibrosis; LDL, low density lipoprotein; mBorg, modified Borg scale; NMES, neuromuscular electrical stimulation; VO2max, maximal oxygen uptake; VO2peak, peak oxygen uptake; WR, work rate; WRmax, maximal work rate; WRpeak, peak work rate.

Table 3

Characteristics of the studies in patients with asthma included in phase 2 (i.e., studies that specified the prevalence of cardiovascular comorbidities in the baseline characteristics of the population under study and/or reported at least one cardiovascular outcome) (n = 2).

Study and CountryStudy designPopulationInterventionDuration and FrequencyCardiovascular Outcomes and Outcome measuresResults on Cardiovascular Outcomes
Cochrane et al., 1990ScotlandRandomized controlled trial18 patients with Asthma (27.0 ± 17.0 years; FEV1 76.0 ± 12.0%pred)Aerobic and muscle strength training75% of HRmax3 months3 sessions/week30 min/sessionOxygen pulse (mL/beat)Pre 8.8 ± 2.3 vs. Post 10.8 ± 2.4, p < 0.001ES = 0.85
Total blood cholesterol (mmol/L)Pre 5.4 ± 1.1 vs. Post 5.3 ± 1.1, p > 0.05ES = −0.09
Cholesterol – HDL (mmol/L)Pre 1.7 ± 0.4 vs. Post 1.6 ± 0.3, p > 0.05ES = −0.28
Cholesterol – LDL (mmol/L)Pre 3.2 ± 1.2 vs. Post 2.9 ± 0.9, p > 0.05ES = −0.28
El-Kader et al., 2016Saudi ArabiaRandomized controlled trial40 patients with Asthma (23♂; 47.2 ± 6.5 years; FEV1 1.4 ± 0.7 L)Aerobic training60%–80% of HRmax6 months3 sessions/week30 min/sessionCholesterol – HDL (mg/dL)Pre 34.7 ± 5.6 vs. Post 37.9 ± 4.6, p < 0.05ES = 0.62
Cholesterol – LDL (mg/dL)Pre 133.7 ± 13.2 vs. Post 120.3 ± 11.5, p < 0.05ES = −1.08
Cholesterol – Triglycerides (mg/dL)Pre 155.4 ± 12.6 vs. Post 127.7 ± 11.3, p < 0.05ES = −2.31

Data are presented as mean ± standard deviation, unless otherwise stated. Legend: %pred, percentage predicted; ES, effect size; FEV1, forced expiratory volume in 1 s; HDL, high density lipoprotein; HR, heart rate; HRmax, maximum heart rate; LDL, low density lipoprotein.

Table 4

Characteristics of the studies in patients with ILD included in phase 2 (i.e., studies that specified the prevalence of cardiovascular comorbidities in the baseline characteristics of the population under study and/or reported at least one cardiovascular outcome) (n = 8).

Study and CountryStudy DesignPopulationInterventionDuration and FrequencyCardiovascular Outcomes and Outcome MeasuresResults on Cardiovascular Outcomes
Gaunaurd et al., 2014United States of AmericaRandomized controlled trial11 patients with IPF (71.0 ± 6.0 years; FVC 60.0 ± 11.0%pred; DLCO 44.0 ± 11.0%pred)History of heart disease: n = 1Pulmonary rehabilitation70%–80% of HRmax12 weeks2 sessions/week90 min/session
Vainshelboim et al., 2014IsraelRandomized controlled trial15 patients with IPF (10♂; 68.8 ± 6 years; FEV1 68.5 ± 15.8%pred; FVC 66.1 ± 14.8%pred; DLCO 48.6 ± 17.2%pred)Arterial hypertension: n = 12Coronary heart disease: n = 7Pulmonary hypertension: n = 5Aerobic and strength training50%–70% of WRpeak70%–90% of average walking speed in the 6MWT3–6 in the mBorg12 weeks2 sessions/week60 min/sessionHR at rest (bpm)Mean Pre/Post difference −2.4 ± 9.1ES = −0.26
Systolic blood pressure at rest (mmHg)Mean Pre/Post difference −2.9 ± 13.6ES = −0.21
Diastolic blood pressure at rest (mmHg)Mean Pre/Post difference 1.5 ± 7.1 ES = 0.21
Oxygen pulse (ml/beat)Mean Pre/Post difference 0.9 ± 1.5ES = 0.62
Marcellis et al., 2015The NetherlandsPre-Post study18 patients with Sarcoidosis (14♂; 50.3 ± 10.4 years; FEV1 93.6 ± 17.0%pred; FVC 102.2 ± 18.1%pred; DLCO 91.2 ± 18.4%pred)Aerobic and strength training40% of 1RM60% of maximal walking speed in the 6MWT50% of WRmax13 weeks3 sessions/week1 h/sessionHR at rest (bpm)Pre 82.7 ± 13.1 vs. Post 77.1 ± 12.8, p = 0.11ES = −0.43
Vainshelboim at al., 2015IsraelRandomized controlled trial15 patients with IPF (10♂; 68.8 ± 6 years; FVC 66.1 ± 14.8%pred; DLCO 48.6 ± 17.2%pred)Arterial hypertension: n = 12Coronary heart disease: n = 7Pulmonary hypertension: n = 5Aerobic and strength training50%–70% of WRpeak70%–90% of average walking speed in the 6MWTPerceived exertion 3–6 in the mBorg12 weeks2 sessions/week60 min/session
Boström et al., 2016SwedenRandomized controlled trial18 patients with Systemic lupus erythematosus (0♂; 52.0 ± 10.0 years)Arterial hypertension: n = 6Pulmonary rehabilitation65%–80% of HRmaxPerceived exertion 13–16 in the Borg12 weeks2 sessions/week60 min/sessionHR at restBlood pressure at restPre vs. Post, p = 0.04Pre vs. Post, p > 0.05
Vainshelboim et al., 2017IsraelRandomized controlled trial15 patients with IPF (10♂; 68.8 ± 6.0 years; FVC 66.1 ± 14.8%pred; DLCO 48.6 ± 17.2%pred)Arterial hypertension: n = 12Coronary heart disease: n = 7Pulmonary hypertension: n = 5Aerobic and strength training50%–70% of WRpeak70%–90% of average walking speed in the 6MWT12 weeks2 sessions/week60 min/sessionHR (bpm)Mean Pre/Post difference −2.4 ± 9.1ES = −0.26
HR reserve (bpm)Mean Pre/Post difference 6.7 ± 11.0ES = 0.61
Systolic blood pressure (mmHg)Mean Pre/Post difference −2.9 ± 13.6ES = −0.21
Diastolic blood pressure (mmHg)Mean Pre/Post difference 1.5 ± 7.1ES = 0.21
Rate pressure product (bpm/mmHg)Mean Pre/Post difference 1685.0 ± 3338.0ES = 0.50
Left atrium diameter (cm)Mean Pre/Post difference 0.0 ± 0.5ES = 0.04
Left atrium area (cm2)Mean Pre/Post difference 0.2 ± 2.7ES = 0.07
Left ventricle posterior wall thickness (cm)Mean Pre/Post difference 0.0 ± 0.1ES = 0.30
Intra-ventricular septum thickness (cm)Mean Pre/Post difference 0.1 ± 0.1ES = 0.60
Left ventricle end systolic diameter index (cm/m2)Mean Pre/Post difference −0.1 ± 0.3ES = −0.40
Left ventricle end diastolic diameter index (cm/m2)Mean Pre/Post difference −0.1 ± 0.3ES = −0.47
Stroke volume (mL/beat)Mean Pre/Post difference −4.5 ± 13.4ES = −0.34
Cardiac output (L/min)Mean Pre/Post difference −0.4 ± 0.8ES = −0.50
Cardiac index (L/min/m2)Mean Pre/Post difference −0.2 ± 0.4ES = −0.50
Ejection fraction (%)Mean Pre/Post difference 0.8 ± 3.0ES = 0.27
Fractioning shortening (%)Mean Pre/Post difference 0.9 ± 6.2ES = 0.15
Earlier transmitral velocity (E) (ms)Mean Pre/Post difference 0.8 ± 16.9ES = 0.05
Late trasmitral velocity (A) (ms)Mean Pre/Post difference 5.1 ± 20.7ES = 0.25
E/A ratioMean Pre/Post difference 0.0 ± 0.4ES = 0.00
Isovolumic relaxation time (ms)Mean Pre/Post difference 9.1 ± 32.1ES = 0.28
Deceleration time (ms)Mean Pre/Post difference 11.0 ± 52.7ES = 0.21
Systolic pulmonary arterial pressure (mmHg)Mean Pre/Post difference −0.5 ± 6.8ES = −0.07
Peak circulatory power (mLO2/kg/min/mmHg)Mean Pre/Post difference 490.0 ± 637.0ES = 0.77
Peak cardiac power output (W)Mean Pre/Post difference 0.3 ± 0.3ES = 0.94
Peak stroke work (mLO2/beat/mmHg)Mean Pre/Post difference 221.0 ± 343.0ES = 0.64
Naz et al., 2018aTurkeyPre-Post study14 patients with ILD (5♂; 63.0 (53.0; 70.0) years; FEV1 78.0 (69.0; 83.0)%pred; FVC 74.0 (67.0; 78.0)%pred; DLCO 40.0 (19.0; 45.0)%pred)Arterial hypertension: n = 7Congestive heart failure: n = 2Aerobic and strength training80% of peak walking speed in the 6MWT70% of WRmaxDyspnoea and perceived exertion 4–6 in the mBorg12 weeks2 sessions/week60–90 min/session
Naz et al., 2018bTurkeyRandomized controlled trial9 patients with Sarcoidosis (33.3%♂; 59.0 (52.0; 64.0) years; FEV1 73.0 (65.0; 85.0)%pred; FVC 76.0 (66.0; 90.0)%pred; DLCO 45.0 (36.0; 54.0)%pred)Aerobic and strength training80% of the peak speed in the 6MWTFatigue 4–6 in the mBorg12 weeks2 sessions/weekHR (bpm)Median Pre/Post difference 0.0 [−6.0; 5.0], p > 0.05

Data are presented as mean ± standard deviation or median (interquartile range), unless otherwise stated. Legend: 6MWT, 6-min walk test; 1RM, one repetition maximum; %pred, percentage predicted; DLCO, diffusing capacity for carbon monoxide; ES, effect size; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; HR, heart rate; HRmax, maximum heart rate; ILD, interstitial lung disease; IPF, idiopathic pulmonary fibrosis; mBorg, modified Borg scale; WR, work rate; WRmax, maximal work rate; WRpeak, peak work rate.

In total, 1704 patients (65.2% male; data gathered from 34 studies) with a weighted mean age of 65.4 years old and a mean FEV1 of 53.7% of predicted (data gathered from 36 studies) were enrolled in the included studies. Only 13 studies in patients with COPD [33,42,43,44,48,54,55,59,68,85,101,151,167] and six studies in patients with ILD [196,198,203,207,208,209] specified the presence of patients with cardiovascular comorbidities on the population’s baseline characteristics. No studies reporting to include patients with cardiovascular comorbidities were found in asthma. Studies in patients with COPD included patients suffering from arterial hypertension [33,42,43,44,48,54,68,85,151] (nine studies; 314 patients), cardiovascular diseases [43,44,48,55,59,85,101,151,167] (nine studies; 247 patients), circulatory problems [42,43,44,85] (four studies; 84 patients), coronary heart disease [42] (one study; 54 patients), congestive heart failure [33,54] (two studies; 10 patients), dyslipidaemia [33,54] (two studies; 11 patients) and ischemic cardiomyopathy [33] (one study; three patients). Studies in patients with ILD included patients suffering from arterial hypertension [196,203,207,208,209] (five studies; 49 patients), coronary heart disease [207,208,209] (three studies; 21 patients), congestive heart failure [203] (one study; two patients), pulmonary hypertension [207,208,209] (three studies; 15 patients) and history of heart disease [198] (one study; one patient). From these, only three studies [196,207,209] conducted in patients with ILD reported cardiovascular outcomes and outcome measures. Nineteen studies in patients with COPD [37,49,53,57,80,90,104,106,107,108,120,121,123,124,128,129,136,146,147], two studies in asthma [186,189] and five studies in ILD [196,201,202,207,209] reported cardiovascular outcomes and outcome measures. Studies conducted in patients with COPD presented a large variety of outcome measures, while studies conducted in patients with asthma were mainly focused on blood lipid profile [187,190] (n = 2) and studies in patients with ILD reported mainly resting heart rate [196,201,209] (n = 3) and blood pressure [196,207,209] (n = 3). The most reported outcome measure was resting heart rate [37,57,90,106,107,121,123,124,129,136,196,201,209] (n = 13; ES = [−0.63; 0.11]). Most studies (n = 20; 71.4%) presented only small to moderate effects in the cardiovascular outcome measures reported. Standard deviation of RR intervals [49,108] (n = 2; ES = [0.67; 2.64]) and root mean square of successive RR interval differences [49,57,108] (n = 3; ES = [0.69; 2.64]) were the outcome measures presenting the larger effects. In patients with COPD, the effects of exercise training programmes on resting heart rate resulted in an overall pooled ES of −0.23 (95% confidence interval −0.33 to −0.13) (Figure 5).
Figure 5

Forest plot of comparison control versus intervention in patients with COPD; outcome: resting heart rate. ES, effect size; NMES, neuromuscular electrical stimulation; PR, pulmonary rehabilitation.

Regarding the exercise programmes, most studies conducted in patients with COPD performed a pulmonary rehabilitation programme [33,54,55,57,59,68,80,90,101,104,106,107,121,123,136,167] (n = 16) or an exercise programme combining aerobic and strength training [38,43,44,45,54,86,129,130] (n = 8). Sessions were conducted 2–6 times per week and each session lasted from 15 min to 2 h. Programme duration varied between 12 weeks and 18 months. A wide range of intensities was used to prescribe the exercise: 60%–80% of the maximum heart rate, 50%–100% of the peak or maximum oxygen uptake, 50%–125% of the peak or maximum workload, 35%–75% of one-repetition maximum, dyspnoea and perceived exertion levels between 3–6 on the modified Borg scale and 12–16 on the Borg scale. None of the studies specified any adjustments to tailor the exercise programmes to patientscardiovascular comorbidities. Only one study [108] described adjusting the training programme in different mesocycles in order to improve specific cardiovascular outcomes. Studies conducted in patients with asthma performed either an exercise programme combining aerobic and strength training for 3 months [189] or aerobic training for 6 months [186]. Sessions occurred 3 times/week, for 30 min each, at an intensity of 60%–80% of the maximum heart rate. No specific adjustments to improve specific cardiovascular outcomes were reported. In patients with ILD, most studies conducted exercise programmes combining aerobic and strength training [201,202,203,207,208,209] (n = 6). The majority of programmes lasted for 12 weeks with 2 sessions/week [196,198,202,203,207,208,209] (n = 7). Sessions had a duration of 60–90 min and exercise was prescribed at an intensity of 65%–85% of maximum heart rate, 50%–90% of peak workload, dyspnoea and perceived exertion levels between 3 and 6 on the modified Borg scale. None of the studies specified any adjustments to tailor the exercise programmes to patientscardiovascular comorbidities.

4. Discussion

To the best of the authors’ knowledge, this is the first comprehensive overview of the scientific literature summarizing (i) the eligibility criteria in terms of cardiovascular disease used to select patients with chronic respiratory disease to exercise training studies, (ii) the impact of at least 3 months of exercise training on cardiovascular outcomes, and (iii) adjustments made to tailor exercise training prescription to patients with cardiovascular comorbidities. It was found that (i) in the majority of the studies (58.9%) patients with cardiovascular comorbidities were excluded a priori, (ii) there is limited evidence about the impact of exercise training on cardiovascular outcomes in patients with chronic respiratory diseases, and (iii) none of the studies explicitly mentioned how to tailor exercise training modalities in light of cardiovascular comorbidities. A large diversity was found regarding the cardiovascular conditions that are used as exclusion criteria in exercise-related research. Interestingly, the majority of the exclusion criteria reported (34/45) are not considered contraindications to exercise training. Indeed, just a minority of the studies (18.3%) excluded only patients with acute/unstable cardiovascular disease that contraindicated participation in exercise training. Most studies excluded patients with both stable and unstable cardiovascular comorbidities, although at least 20%–50% of the patients with COPD, asthma or ILD present cardiovascular comorbidities [5,7,18,20,210,211]. Thus, by excluding patients with cardiovascular comorbidities or any other comorbidity that does not present any contraindication to perform exercise training, translation of knowledge to clinical practice can only be done for a subset, or sometimes even a minority, of patients. This finding might have a far-reaching consequence, namely that current knowledge (including clinical guidelines) is disease-centred and, thus, inadequate to sufficiently support/guide clinicians on how to prescribe exercise for patients with chronic respiratory diseases and multiple chronic conditions [13,212]. Furthermore, some of the criteria reported (e.g., cardiovascular disease) were too vague to allow understanding of which conditions were really excluded and over 20% of the included studies did not report any information concerning to eligibility criteria, even though this is key information to ensure clarity and transparency of the research [213]. Exercise training programmes in patients with cardiovascular comorbidities resulted in significant improvements in general reported outcomes, namely symptoms, functionality, exercise capacity, muscle strength and health-related quality of life, comparable to the ones usually found in respiratory patients [22]. However, regarding cardiovascular outcomes, in the majority of the studies (71.4%) only small to moderate effects were found, with the larger effects being reported for heart rate variability measurements (ES = [−0.78; 2.64]) and blood lipid profile (ES = [−2.31; 0.62]). Additionally, a small but significant overall effect of exercise training programmes on resting heart rate of patients with COPD was found. These results are yet not inferior to the ones previously reported for patients with cardiovascular diseases, in whom beneficial effects of exercise training have been found for heart rate variability and heart rate recovery [214], and inconsistent but significant and modest effects have been reported for arterial blood pressure and blood lipid profile [214,215,216,217]. We hypothesized that several reasons might be contributing to the limited effects found. First, most studies have not reported any specific adjustments in the exercise prescription to tailor the programme to patientscardiovascular comorbidities, although it is plausible that they have made some adjustments without specific reporting in the published paper. It is known that cardiovascular conditions require specific considerations when formulating the exercise plan [22], and different recommendations exist based on the prevalent cardiovascular disease (e.g., coronary artery disease, congestive heart failure, peripheral arterial disease, pulmonary arterial hypertension) and its severity [218]. Indeed, it is mandatory to tailor exercise duration, frequency, mode, intensity and monitoring to patients’ specificities and needs, clinical conditions, cardiovascular phenotype (risk factors and diseases), fitness level, medication intake (beta blockers, statins, glinides, sulfonylurea), abnormal responses to exercise (myocardial ischemia, atrial fibrillation, ventricular tachycardia) and rehabilitation goals [1,218,219,220,221]. Moreover, the impact of exercise training relies on this proper tailoring of the exercise programme, since it has been shown that different exercise prescriptions result in significant differences in clinical outcomes [221]. Future studies should therefore assess the impact of exercise programmes specifically tailored to patients with co-occurring respiratory disease and cardiovascular comorbidities [7] and report the intervention in detail. Second, guidelines for cardiac rehabilitation from the leading scientific societies recommend that exercise should progress from moderate to vigorous intensity, three times per week [21]. Nevertheless, in some of the included studies, patients exercised at lower intensities and/or fewer times per week, which might have also contributed to the relative lack of effects since the minimum dose of exercise for cardiovascular benefits (>150 min/week of endurance training, energy expenditure 1000–2000 kcal/week) might have not been reached [218,222]. Third, some of the included studies only used strength training in their exercise programmes. Indeed, strength training has been recommended in patients with cardiovascular diseases, but as an adjunct to aerobic training, the last being a core component in these patients’ rehabilitation [21]. From these observations, it became clear that current exercise prescription to patients with COPD, asthma or ILD with cardiovascular comorbidities is far from optimal and deserves significant reconsideration. Nonetheless, digital support on how to prescribe exercise in these patients in accordance to all the different clinical guidelines for different cardiovascular diseases is available, and thus could be used to support health professionals [218]. Lastly, most studies including patients with cardiovascular comorbidities only focused on the assessment of resting heart rate. Although this is a relevant outcome measure and results from meta-analysis in patients with COPD favour intervention, recommendations for patients with cardiovascular diseases advocate a more comprehensive assessment, including outcomes such as arterial blood pressure, blood lipid profile or echocardiography, that are also more in line with the aims of rehabilitation in these patients [223,224]. Therefore, outcomes should be better targeted to patientscardiovascular comorbidities [19]. Besides the known prevalence and increased risk of morbidity and mortality that cardiovascular comorbidities impose on patients with chronic respiratory diseases [7,211], only three studies [196,207,209] (all conducted in the last 5 years) included patients with cardiovascular comorbidities and assessed cardiovascular outcome measures. This denotes the current gap in the literature regarding exercise programmes and emphasises the need for specific studies focusing on cardiovascular outcomes in these patients. This systematic review has a number of limitations that need to be acknowledged. First, as it was anticipated that a large number of studies would be found, only exercise programmes lasting at least 12 weeks were included, which might have led to the loss of other relevant studies. Nevertheless, 12 weeks has been recommended as the minimum exercise duration required to reach benefits in patients with cardiovascular disease [25]. Second, as only few studies including patients with ILD were found, all types of ILD were grouped, although different types of ILD present different characteristics and possibly different cardiovascular comorbidities and responses to exercise training programmes. Third, most of the included studies were of weak quality. Nonetheless, since in exercise interventions blinding of participants is impossible and patients are usually referred by physicians to ensure their safety, it was virtually impossible to ensure strong quality in the quality assessment tool used.

5. Conclusions

Although a large number of studies explored the effects of at least 3 months of exercise training in patients with chronic respiratory diseases, only few included patients with cardiovascular comorbidities. Limited effects of the exercise programmes were found on cardiovascular outcome measures, possibly due to the lack of tailoring of the exercise training prescription and comprehensiveness of the cardiovascular outcome measures. Future studies focusing on patients with combined respiratory and cardiovascular diseases and exploring the effects of exercise programmes specifically tailored to these patients are needed to bridge the gap in the literature.
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