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Journal of General Internal Medicine logoLink to Journal of General Internal Medicine
. 2018 Sep 13;33(12):2201–2209. doi: 10.1007/s11606-018-4636-y

Efficacy of Different Types of Exercise-Based Cardiac Rehabilitation on Coronary Heart Disease: a Network Meta-analysis

Tian-li Xia 1,#, Fang-yang Huang 1,#, Yong Peng 1, Bao-tao Huang 1, Xiao-bo Pu 1, Yong Yang 1, Hua Chai 1, Mao Chen 1,
PMCID: PMC6258639  PMID: 30215179

Abstract

Background

Exercise-based cardiac rehabilitation (CR) has been recognized as an essential component of the treatment for coronary heart disease (CHD). Determining the efficacy of modern alternative treatment methods is the key to developing exercise-based CR programs.

Methods

Studies published through June 6, 2016, were identified using MEDLINE, EMBASE, and the Cochrane Library. English-language articles regarding the efficacy of different modes of CR in patients with CHD were included in this analysis. Two investigators independently reviewed abstracts and full-text articles and extracted data from the studies. According to the categories described by prior Cochrane reviews, exercise-based CR was classified into center-based CR, home-based CR, tele-based CR, and combined CR for this analysis. Outcomes included all-cause mortality, cardiovascular death, recurrent fatal and/or nonfatal myocardial infarction, recurrent cardiac artery bypass grafting, recurrent percutaneous coronary intervention (PCI), and hospital readmissions.

Results

Sixty randomized clinical trials (n = 19,411) were included in the analysis. Network meta-analysis (NMA) demonstrated that only center-based CR significantly reduced all-cause mortality (center-based: RR = 0.76 [95% CI 0.64–0.90], p = 0.002) compared to usual care. Other modes of CR were not significantly different from usual care with regard to their ability to reduce mortality. Treatment ranking indicated that combined CR exhibited the highest probability (86.9%) of being the most effective mode, but this finding was not statistically significant due to the small sample size (combined: RR = 0.50 [95% CI 0.20–1.27], p = 0.146).

Conclusions

Current evidence suggests that center-based CR is acceptable for patients with CHD. As home- and tele-based CR can save time, money, effort, and resources and may be preferred by patients, their efficacy should be investigated further in subsequent studies.

Electronic supplementary material

The online version of this article (10.1007/s11606-018-4636-y) contains supplementary material, which is available to authorized users.

KEY WORDS: cardiac rehabilitation, coronary artery disease, telemedicine, meta-analysis

INTRODUCTION

Cardiac rehabilitation (CR) programs have been recognized as an essential component of treatments for coronary heart disease (CHD).13 CR programs are medical multidisciplinary programs consisting of exercise and education sessions designed to help patients achieve optimal physical and functional status and prevent further cardiac illness.4 CR programs can improve physical health and contribute to substantial decreases in morbidity and mortality. Therefore, these programs are highly recommended by clinical guidelines.5

Traditionally, CR is undertaken in hospital-based settings and in outpatient clinics. Previous studies have established this type of CR as the basic mode of CR.6, 7 Despite the effectiveness of this mode, several barriers, including low referrals, low uptake, and poor adherence, frequently prevent its widespread use. Since the mid-1980s, home-based exercise programs have served as an alternative to traditional CR for myocardial infarction (MI) patients.8 Since the 1990s, the use of home-based CR among low-risk CHD patients has become more widespread. However, physicians prefer using center-based CR programs over home-based CR programs in patients with more severe diseases or patients experiencing complications from their diseases. To ensure the provision of safe and effective care for these patients, physicians have attempted to monitor their vital signs using portable heart rate monitors since the mid-1980s.9 The development and progression of sensor technology, communication technology, and data analysis techniques over the past 20 years have spurred the creation of modified home-based modes combining the accessibility of home-based CR with the specialist monitoring and support services of center-based CR.10 This mode of CR, known as tele-based CR, is expected to be a safe means of avoiding inappropriate exercise while facilitating widespread patient participation in CR programs. However, as the findings of previous studies regarding this issue are inconsistent, whether these modern modes are viable alternatives to center-based CR problems remains unknown.11, 12 Given the few head-to-head trials evaluating the efficacy of multiple interventions, we conducted a network meta-analysis (NMA) to comprehensively compare and rank the efficacy of center-based, home-based, and tele-based CR in patients with CHD.

METHODS

Studies published through June 6, 2016, were systematically searched in MEDLINE (through Ovid SP), EMBASE (through Ovid SP), and CENTRAL (through the Cochrane Library). The full study protocol, including a detailed research strategy, was registered with PROSPERO (ID CRD42016035472). The references of relevant studies and review articles were also checked to identify additional studies.

The inclusion criteria for this analysis were randomized clinical trials (RCTs) of adult patients (≥ 18 years) with CHD that compared different types of exercise-based CRs or compared exercise-based CRs with usual care as a component of the treatment. Studies were excluded if CR was performed on all patients to compare the efficacy of different training periods. RCTs that measured the effect of counseling methods but not of exercise training were excluded from the analysis, as were conference abstracts, reviews (including systematic reviews), editorials, observational studies, animal experiments, and pediatric trials. The articles were screened in accordance with the above inclusion and exclusion criteria. Additionally, a standardized data extraction form was designed to collect information regarding the first author, publication year, method, setting, and follow-up duration as well as information regarding the total numbers of patients, the participant characteristics, and the main results of the eligible trials. The data were independently extracted by authors who read the full texts of each article.

For the purpose of this review, exercise-based CR was defined as center-based, home-based, tele-based, and combined CR interventions. Center-based CR was defined as CR undertaken in a hospital or a center with equivalent infrastructure. Home-based programs were defined as those undertaken in patients’ homes or in places other than hospitals, such as places in the community, using traditional follow-up methods (e.g., telephone conversations or regular visits). Tele-based CR was defined as CR undertaken in patients’ homes or in places other than hospitals that was monitored and guided by health professionals using telehealth technologies. Combined CR was defined as either (1) both center-based and home-based CR or (2) both center-based and tele-based CR.

The primary endpoint of the analysis was all-cause death. Secondary endpoints were cardiovascular death (CV death), recurrent fatal and/or nonfatal MI, recurrent coronary artery bypass grafting (CABG), recurrent percutaneous coronary intervention (rePCI), and hospital readmission during follow-up.

The methodological quality of the studies was evaluated by two reviewers (FY.H. and Y.P.) using the Cochrane Collaboration’s recommended tool for assessing the risk of bias.13

We defined low overall risk of bias as follows: low risk in the domains of randomization, outcome assessor blinding, incomplete outcome data, and selective reporting and no other domains with a high risk. Unclear overall risk of bias was defined as at least one unclear risk of bias in the domains of randomization, blinding, incomplete outcome data, and selective reporting and no other domains with a high risk. High overall risk of bias was defined as a high risk of bias in at least one of the following domains: randomization, outcome assessor blinding, incomplete outcome data, or selective reporting.

Pairwise meta-analyses were first performed to estimate the available direct relative effects of the competing interventions using the random effects model in the metan package of Stata 13.0.14 In these analyses, we estimated heterogeneity parameters for each pairwise comparison.15, 16 Subsequently, we conducted a random effects model NMA for each outcome using the multivariate meta-analysis approach in the network package (version 1.2.0) of Stata 13.0.17 Network consistency was evaluated by using the loop-specific approach (assuming common heterogeneity across all loops in all-cause death) and comparing the direct estimates with the indirect estimates for each comparison, with a node splitting technique in which the summary estimate of each node is separated into its direct and indirect components.18, 19 Subgroup NMA was also performed. Older patients (older than 70 years old), patients diagnosed with acute myocardial infarction (AMI), and the publication year of the articles were included as prespecified subgroups. Surface under the cumulative ranking (SUCRA) for each intervention was calculated from a cumulative ranking probability that an intervention was above a certain ranking, taking values between 0 (certainly the worst intervention) and 1 (certainly the best intervention).20 The hierarchy of the competing treatment outcomes was determined by calculating the SUCRA for the total population and all subgroups to determine the probability that a particular treatment would be among the best treatments. We performed four sensitivity analyses for the primary outcomes and other secondary outcomes available: (1) we included only studies with a low risk of overall bias; (2) we excluded studies with high overall risk; and (3) we excluded the study published by the WHO in 1984,21 which had the greatest weight in the analysis and, thus, may have driven the findings.

RESULTS

The searches identified 13,675 potentially relevant articles. We excluded 13,615 citations that did not meet the eligibility criteria. After full-text screening, we ultimately included 60 RCTs (n = 19,411) conducted between 1981 and 2016 (see Appendix 1). Table 1 presents the characteristics of all included studies and study settings.4, 9, 2178 As indicated in the network plot (Fig. 1), center-based CR versus usual care was the most prevalent comparison.

Table 1.

Study Characteristics of the Included Trials

Study Method Country Length of follow-up (month) Sample size Intervention (center-based: 1; home-based: 2; tele-based: 3; combined: 4; control: 0)
Aronov 201022 Multicenter Russia 12 392 1 vs. 0
Belardinelli 200123 Single center Italy 33 118 1 vs. 0
Bell 199824 Multicenter Italy 12 252 1 vs. 2
Bengtsson 198326 Single center Sweden 14 171 1 vs. 0
Bertie 199227 Single center UK 24 110 1 vs. 0
Bethell 199025 Single center UK 60 229 1 vs. 0
Briffa 2005 28 Multicenter Australia 24 113 1 vs. 0
Carlsson 199829 Single center Sweden 12 235 1 vs. 4
Carson 198230 Single center UK 36 303 1 vs. 0
COACH pilot 200231 Single center Australia 6 245 3 vs. 0
COACH trial 200332 Multicenter Australia 6 792 3 vs. 0
Dalal 200733 Single center UK 9 104 1 vs. 2
DeBusk 199434 Multicenter USA 12 585 3 vs. 0
Dugmore 199935 Single center UK 60 124 1 vs. 0
Engblom 19964 Single center Finland 60 228 1 vs. 0
Erdman 198636 Single center Netherlands 60 80 1 vs. 2
Fletcher 199437 Single center USA 6 88 2 vs. 0
Fridlund 199138 Single center Sweden 60 178 1 vs. 0
Giallauria 200940 Single center Finland 60 61 1 vs. 0
Gordon 200239 NR USA 30 155 1 vs. 2
Haskell 199441 Multicenter USA 48 300 2 vs. 0
Heller 199342 Multicenter Australia 6 450 2 vs. 0
Higgins 200143 Single center Australia 51 105 2 vs. 0
Hofman-Bang 199944 Single center Sweden 24 87 1 vs. 0
Houle 201245 Multicenter Canada 12 65 2 vs. 0
Jolly 200746 Multicenter UK 24 525 1 vs. 2
Jones 199647 Multicenter UK 12 2328 1 vs. 0
Kallio 197948 Multicenter Finland 36 375 1 vs. 0
Kovoor 200649 Multicenter Australia 6 142 2 vs. 0
La Rovere 200250 Single center Italy 120 95 1 vs. 0
Lear 200351 NR Canada 12 302 3 vs. 0
Lewin 199252 Single center Scotland, UK 12 176 2 vs. 0
Maddison 201553 Multicenter New Zealand 6 171 2 vs. 0
Manchanda 200054 Single center India 12 42 4 vs. 0
Maroto 200555 Single center Spain 120 180 1 vs. 0
Miller 19849 NR USA 6 198 1, 4 vs. 0
Munk 200956 Single center Norway 6 40 1 vs. 0
Mutwalli 201257 Single center Kingdom of Saudi Arabia 6 49 2 vs. 0
Niebauer 199758 NR UK 3 113 2 vs. 0
Oerkild 201259 Single center Denmark 12 40 2 vs. 0
Oldridge 199160 Multicenter Canada 12 201 1 vs. 0
Ornish 199861 Multicenter USA 60 48 1 vs. 0
Reid 201262 Multicenter Canada 12 223 3 vs. 0
Roman 198363 Single center Chile 108 193 1 vs. 0
Schuler 199264 Single center Germany 72 113 2 vs. 0
Seki 200865 Single center Japan NR 39 4 vs. 0
Shaw 198166 Multicenter USA 60 651 1 vs. 0
Sivarajan 198267 Single center USA 6 258 1 vs. 0
Specchia 199668 Single center Italy 40 256 1 vs. 0
Stern 198369 Multicenter USA 36 106 1 vs. 0
Toobert 200070 NR USA 12 25 1 vs. 0
Vermeulen 198371 NR Netherlands 60 98 1 vs. 0
VHSG 200372 Single center Norway 60 197 1 vs. 0
Wang 201273 Multicenter China 6 160 2 vs. 0
West 201274 Multicenter UK 24 1813 1 vs. 0
WHO 198421 Multicenter European countries 36 3184 1 vs. 0
Wilhelmsen 197575 Single center Sweden 60 315 1 vs. 0
Young 200377 Single center Canada 12 146 2 vs. 0
Yu 200476 Single center China 24 269 4 vs. 0
Zwisler 200878 Single center Denmark 12 770 1 vs. 0

NR, not reported; AMI, acute myocardial infarction

Figure 1.

Figure 1

Network of interventional treatments comparing types of cardiac rehabilitation (CR) and usual care. The sizes of the nodes represent the total sample size for each treatment. Line thickness and the numbers beside the lines correspond to the number of trials comparing the interventions. A 3-arm study comparing usual care, center-based CR, and combined CR was included. We considered it as half of a trial.

The intensity and types of exercise, frequency and lengths of sessions, and duration of rehabilitation are the keystones of CR programs. We describe each of these factors in detail in Appendix 2; however, only half of the studies reported information regarding these variables. Regarding exercise type, 11 out of 37 trials evaluated center-based CR programs comprising aerobic exercises and strength training, while the others evaluated programs comprising only aerobic exercises. Sessions ranged from 20 min to 2 h in length in individual CR programs. There were no significant differences in CR program duration among the three individual CR programs (center-based, 6.36 months; home-based, 6.13 months; tele-based, 5.70 months; combined, 8.00 months); however, combined CR programs were of significantly longer durations than other programs.

The overall risk of bias of the included RCTs is presented in Figure 2 and Appendix 3. A low risk of random sequence generation was observed in 25 (41.7%) trials, and 13 (21.7%) trials were classified as having a low risk of bias regarding allocation concealment. Fifteen (25.0%) trials blinded outcome assessment, 7 (11.7%) trials did not blind outcome assessment, and the other trials did not report details about blinding. Twenty-six (43.3%) trials reported incomplete outcome data. Between-group baseline characteristics were balanced in most trials (80.0%). Intention-to-treat analysis was performed in 24 (40.0%) trials. Twenty-seven (45.0%) trials evaluated additional treatments beyond exercise-based rehabilitation (e.g., counseling).

Figure 2.

Figure 2

Risk of bias graph for the included studies. The figure displays the numbers (and percentages along the x -axis) of studies that had low, high, or unclear risk of bias for each item.

Pairwise meta-analyses comparing the CR programs are presented in Appendix 4. Little heterogeneity was observed in the pairwise comparisons (Appendix 5).

NMA demonstrated that only center-based CR significantly reduced all-cause mortality compared to usual care (RR = 0.76, 95% CI 0.64–0.90, p = 0.002), while the other types of CR were not significantly different from usual care with regard to mortality (home-based vs. usual care: RR = 0.86, 95% CI 0.55–1.33; tele-based vs. usual care: RR = 0.97, 95% CI 0.62–1.52; combined vs. usual care: RR = 0.50, 95% CI 0.20–1.27). Furthermore, no statistically significant differences were found when comparing different types of CR (center-based vs. home-based CR: RR = 0.89, 95% CI 0.57–1.40; center-based vs. tele-based CR: RR = 0.78, 95% CI 0.49–1.27; center-based vs. combined CR: RR = 0.78, 95% CI 0.49–1.27) (Table 2). There was no inconsistency in the NMA estimates (Appendix 4), and there were no significant differences between direct and indirect estimates in closed loops that allowed assessment of network coherence (Appendix 6). The SUCRA value, which indicates the probability that each intervention ranks first, was highest for combined CR (86.9%), followed by center-based CR (68.4%), home-based CR (45.7%), and tele-based CR (29.7%) (Appendix 7).

Table 2.

Relative Risk and 95% CIs for the Network Meta-analysis Comparing Every Pair of the 5 Interventions Regarding All-Cause Death (Upper Triangle) and the Column-Defining Treatment Regarding CV Death (Lower Triangle)

Center-based Home-based Tele-based Combined Control
Center-based NA 0.89 (0.57–1.40) 0.78 (0.49–1.27) 0.78 (0.49–1.27) 0.76* (0.64–0.90)
Home-based 0.41 (0.06–2.84) NA 0.88 (0.47–1.65) 0.88 (0.47–1.65) 0.86 (0.55–1.33)
Tele-based 1.34 (0.56–3.23) 3.29 (0.41–26.68) NA 0.52 (0.19–1.45) 0.97 (0.62–1.52)
Combined 0.68 (0.01–36.71) 1.66 (0.02–138.06) 0.51 (0.01–29.47) NA 0.50 (0.20–1.27)
Control 0.65* (0.49–0.85) 1.58 (0.23–10.78) 0.48 (0.21–1.11) 0.95 (0.02–50.91) NA

Comparisons between treatments should be read from left to right, and the relative risk is in the cell intersecting the column-defining treatment and the row-defining treatment. Relative risks less than 1 favor the row-defining treatment regarding all-cause death and the column-defining treatment regarding CV death

*p = 0.002

CV death, cardiovascular death; NA, not applicable

NMA demonstrated that center-based CR was significantly associated with a lower incidence of CV death than usual care (center-based CR vs. usual care: RR = 0.65, 95% CI 0.49–0.85, p = 0.002), a finding consistent with the standard meta-analysis (Table 2, Appendix 4). Comparison of the efficacy of center-based, home-based, tele-based CR, and combined CR in patients with CHD showed imprecise estimates regarding CV death (center-based vs. home-based CR: RR = 0.41, 95% CI 0.06–2.84; center-based vs. tele-based CR: RR = 1.34, 95% CI 0.56–3.23; center-based vs. combined CR: RR = 0.68, 95% CI 0.01–36.71). With respect to preventing AMI, readmission, CABG, or rePCI, no differences were observed when we compared the efficacy of the CR programs with that of usual care. Furthermore, home-based CR, tele-based CR, and combined CR did not reduce the risks of AMI, readmission, CABG, or rePCI compared with center-based CR (Appendixes 89).

To determine whether the efficacy of exercise-based CR was influenced by confounding factors, such as publication time, counseling, age, or diagnosis of AMI, we stratified patients according to these factors (Table 3, Appendix 10). Patients were stratified by the publication time of the article in the first subgroup analysis, which showed that results from the period of 1974–1990 were consistent with those of total patients (center-based CR vs. usual care: RR = 0.71, 95% CI 0.58–0.89, p = 0.001). Meanwhile, the reported efficacies of other CRs were not statistically different based on publication time, which may have resulted from inadequate statistical power. The second and third subgroup analyses reported that the efficacy of different CRs significantly differs based on the age and type of patients being treated. The type of diagnosis may significantly influence the reported effect of different CRs. The efficacy of CRs in AMI patients and patients younger than 60 years was highly consistent with that in total patients (AMI: center-based CR vs. usual care: RR = 0.75, 95% CI 0.61–0.92, p = 0.001; younger than 60 years: center-based CR vs. usual care: RR = 0.70, 95% CI 0.58–0.84, p = 0.001). In other groups, the efficacy of CRs was not significantly different, which may have resulted from inadequate statistical power. The fourth subgroup meta-analysis demonstrated no significant effect based on whether the comparison condition contained counseling (with counseling: RR = 0.73, 95% CI 0.55–0.96, p = 0.024; without counseling: RR = 0.77, 95% CI 0.61–0.97, p = 0.024).

Table 3.

Subgroup Network Meta-analysis Results of Exercise-Based CR Compared to Usual Care and the Surface Under the Cumulative Ranking Curve (SUCRA)

Subgroup 1 Subgroup 2 Subgroup 3
RR (95% CI) SUCRA RR (95% CI) SUCRA RR (95% CI) SUCRA
Row 1: publication year 1974–1990 1991–2000 2001–2014
Usual care 1 7.4% 1 41.9% 1 25.1%
Center-based 0.71 (0.58–0.89) 43.9% 0.74 (0.46–1.18) 77.0% 0.88 (0.54–1.43) 44.3%
Home-based 0.07 (0.00–1.37) 87.6% 1.02 (0.53–1.97) 41.9% 0.82 (0.43–1.57) 51.1%
Tele-based 1.20 (0.51–2.83) 30.5% 0.86 (0.44–1.68) 45.7%
Combined 0.25 (0.01–5.15) 61.1% 0.78 (0.13–4.74) 58.7% 0.46 (0.14–1.50) 83.8%
Row 2: age (years) Younger than 60 years 60–70 years Older than 70 years
Usual care 1 25.5% 1 38.0% 1 26.6%
Center-based 0.70 (0.58–0.84) 74.6% 1.06 (0.76–1.49) 29.2% 0.77 (0.34–1.75) 73.4%
Home-based 0.84 (0.45–1.54) 49.9% 1.14 (0.44–2.99) 28.6%
Tele-based 1.01 (0.65–1.55) 27.8% 0.20 (0.01–4.26) 82.5%
Combined 0.42 (0.04–4.62) 72.1% 0.57 (0.21–1.52) 71.7%
Row 3: AMI Patients diagnosed with CHD Patients diagnosed with AMI
Usual care 1 24.4% 1 32.6%
Center-based 0.81 (0.50–1.33) 55.2% 0.75 (0.61–0.92) 69.9%
Home-based 0.87 (0.48–1.58) 47.4% 0.96 (0.41–2.25) 41.7%
Tele-based 0.91 (0.55–1.49) 41.7% 1.21 (0.48–3.03) 26.2%
Combined 0.55 (0.21–1.45) 81.4% 0.26 (0.01–5.31) 79.6%
Row 4: counseling Intervention included counseling Intervention did not include counseling
Usual care 1 11.0% 1 21.8%
Center-based 0.73 (0.55–0.96) 70.7% 0.77 (0.61–0.97) 67.7%
Home-based 0.66 (0.25–1.77) 68.3% 0.91 (0.55–1.48) 41.4%
Tele-based 0.97 (0.61–1.54) 32.2%
Combined 0.51 (0.20–1.27) 87.0%

Effect estimates are presented as the relative risk compared to usual care, and the numbers in parentheses are 95% confidence intervals. The SUCRA for each intervention was calculated from a cumulative ranking probability that an intervention was above a certain ranking, taking a value between 0 (certainly the worst intervention) and 1 (certainly the best intervention)

SUCRA, surface under the cumulative ranking curve; CHD, coronary heart disease; AMI, acute myocardial infarction

Common estimates for heterogeneity variance were low (tau value ≈ 0).

The sensitivity analysis restricted to studies with low overall risk of bias yielded analogous results but showed less power than our primary analysis (center-based: RR = 0.95, 95% CI 0.47–1.89) (Appendix 11). Additionally, when we excluded only studies with a high risk of several biases, center-based CR was statistically different from usual care (center-based: RR = 0.75, 95% CI 0.58–0.97) (Appendix 12). Results from the analysis without the WHO 1984 paper were consistent with the overall results (center-based: RR = 0.77, 95% CI 0.63–0.94) (Appendix 13).21

DISCUSSION

This NMA was the first to demonstrate the efficacy of currently available CR strategies for CHD patients. Specifically, this study found strong evidence that the risk of all-cause mortality and CV mortality was lower in cardiac patients receiving center-based CR than that in patients receiving usual care. Home-based CR and tele-based CR were not superior to center-based CR and usual care, as the differences between these groups and the usual care group were not statistically significant. In addition, the difference in the risk of AMI, reCABG, rePCI, and hospital readmissions between center-based CR and usual care was not statistically significant. The efficacy of different CR strategies showed also not significantly different based on the outcomes.

The most recent Cochrane review, which included 14,486 patients with CHD, demonstrated that exercise-based CR exerted important beneficial effects. Specifically, exercise decreased the incidence of CV mortality and hospital readmission and improved health-related quality of life, findings that are consistent with those of our study.5 In our study, we subdivided the exercise-based CR by type to find the most effective approaches for patients. We found that center-based exercise CR resulted in the most benefits to patients. To date, the mainstay approaches to exercise-based CR in many countries depend on using inpatient and outpatient center-based programs, which often take place in supervised settings, such as universities, hospitals, or community locations. Due to several insurmountable barriers associated with center-based CR, including limited program availability, transportation restrictions, and inconvenient program schedules as well as patient domestic or occupational responsibilities, considerable effort has been expended to identify more feasible and cost-effective programs.79

Previous meta-analyses have demonstrated that home-based CR programs not only significantly reduce the risks of mortality and the incidence of cardiac events among patients with CHD but also exert beneficial effects with respect to functional outcomes, as these programs increase exercise capacity, improve quality of life, and decrease systolic blood pressure.11, 80 However, our study found that home-based CR is not significantly different from usual care regarding all-cause death and CV death. Previous studies have found that home-based CR has a higher incidence of hospital readmission and revascularization than center-based CR.46, 81 Our analysis demonstrated no difference in rePCI, readmission, and revascularization rates between center-based and home-based CR. It is universally accepted that the availability of home-based programs may enable more patients to participate in exercise-based CR, thereby improving patient uptake and adherence. However, in our study, the program duration of home-based CR was not longer than that of center-based CR, which indicates that researchers need to test a longer duration to observe patient uptake and adherence.

Furthermore, our detailed analysis of exercise type demonstrated that strength training combined with aerobic training was seen only in center-based CR or combined CR. The materials provided to patients participating in home-based CR exercise programs are usually limited to written instructions, exercise recording logs, and simple counting devices. These methods cannot provide sufficient feedback regarding the quality of the prescribed exercises nor can they be used by clinicians to determine whether patients performed their prescribed exercises correctly or performed the required number of repetitions for each exercise. Our results indicate that more evidence is needed regarding the efficacy of home-based CR programs, which has been recommended as an alternative rehabilitation model in cardiovascular disease prevention by most guidelines.

Since home-based CR lacks exercise guidelines and monitoring, controversy exists regarding whether it is as effective as center-based CR. A new type of CR based on information and communication technology, known as tele-based CR, has recently attracted increasing attention from clinicians. Tele-based CR is designed to provide patients with additional feedback, education, and counseling and is supported by sensor technology, communication technology, and data analysis techniques.10 Tele-based techniques are increasingly used in CR and secondary prevention.

Previous systematic reviews indicate that tele-based CR improves cardiovascular risk factors and health-related quality of life, decreases the risks of adverse events, and is cost-effective.82 Despite the lack of long-term follow-up data regarding tele-based CR, emerging evidence indicates that improvements in tele-monitoring technology have enhanced patient exercise capacity compared with regular center-based training. If performed properly, tele-based CR may be a promising alternative means of providing CR for outpatients and ensuring that patients undergo appropriate clinical assessments and receive guidance from providers.12, 82, 83 However, tele-based CR programs are not currently superior to traditional CR with respect to training frequency, exercise duration, training type, or training intensity. Similar to center-based CR exercise intensity, tele-based CR exercise intensity is controlled by physiological indices, with the assistance of telehealth technology. The duration of tele-based CR programs range from 1 month to 1 year, similar to that of traditional CR programs, and may be further improved in future studies. Considering health economics, tele-based CR may be more cost-effective than center-based CR and be safer and more effective than home-based CR.

As tele-based CR is a young and rapidly evolving field, the innovative technology used in the field lacks a fully developed role in patient care. Moreover, this technology has not demonstrated a sustained ability to motivate patients to undergo tele-based CR. Since data on direct comparisons of the mortality associated with tele-based CR and center-based CR are scarce, the results of our NMA, which demonstrated that the mortality of tele-based CR is similar to that of center-based CR and home-based CR, should be taken seriously. Given that the development of tele-technology is ongoing, the results described herein indicate that tele-based CR should be prescribed with caution.

Similar to other systematic reviews, our study had several limitations. First, few RCTs, with a relatively small number of patients, evaluated tele-based CR or combined CR. Thus, the results of the comparisons involving these CR programs are imprecise. Second, the methods of the included studies were not well described. Several studies were found to have high risks of bias, although bias did not appear to have affected the outcomes of interest in this review. In some studies, CR involved multidisciplinary rehabilitation rather than just exercise training. The measures other than rehabilitation exercise, such as counseling, a healthier diet, and intermittent oxygen therapy, were often included in the intervention groups but not in the usual care groups and were thus too different to control for. Additionally, most of the studies lacked sufficient information regarding whether randomization was conducted properly or whether allocation concealment was achieved. Third, our searches were limited to English-language publications and published data. Fourth, some of the results of the secondary endpoint analysis may be problematic, as CABG and PCI have the potential to temporarily decrease mortality risk. Fifth, advances in medical management post-MI made it difficult to determine the additional benefits of individual treatments. Finally, we did not evaluate differences in cost-effectiveness, functional exercise capacity, or health-related quality of life that were noted among the CR programs.

In conclusion, the present NMA summarized the most comprehensive information regarding several CR methods. Current evidence suggests that center-based CR is the most appropriate therapeutic approach for patients with CHD. As home-based CR and tele-based CR can save time, money, effort, and resources and may be preferred by patients, their efficacy should be investigated further in future studies.

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Contributors

Mao Chen had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Mao Chen, Fang-yang Huang, and Tian-li Xia. Acquisition, analysis, or interpretation of data: Tian-li Xia, Fang-yang Huang, Yong Peng, Bao-tao Huang, Xiao-bo Pu, Yong Yang, Hua Chai, and Mao Chen. Drafting of the manuscript: Tian-li Xia, Fang-yang Huang, Yong Peng, and Bao-tao Huang. Critical revision of the manuscript for important intellectual content: Tian-li Xia and Fang-yang Huang. Statistical analysis: Fang-yang Huang. Administrative, technical, or material support: Bao-tao Huang, Xiao-bo Pu, and Yong Yang. Study supervision: Tian-li Xia, Hua Chai, and Mao Chen.

Funders

This research was funded by the National Natural Science Foundation of China (grant number: 81370219 and 81400267, Beijing, China).

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they do not have a conflict of interest.

References

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