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. 2021 Feb 27;3(3):122–130. doi: 10.1253/circrep.CR-20-0143

Current Status and Effect of Outpatient Cardiac Rehabilitation After Percutaneous Coronary Intervention in Japan

Koshiro Kanaoka 1, Tsunenari Soeda 1, Satoshi Terasaki 1, Yuichi Nishioka 2, Tomoya Myojin 2, Shinichiro Kubo 2, Katsuki Okada 3, Tatsuya Noda 2, Makoto Watanabe 1, Rika Kawakami 1, Yasushi Sakata 3, Tomoaki Imamura 2, Yoshihiko Saito 1,
PMCID: PMC7956885  PMID: 33738344

Abstract

Background

Although cardiac rehabilitation (CR) has been reported to be associated with better clinical outcomes in patients with cardiovascular diseases, there are few nationwide studies about CR participation by patients with coronary artery disease in Japan.

Methods and Results

We performed a nationwide retrospective cohort study using the National Database of Health Insurance Claims and Specific Health Checkups of Japan between April 2014 and March 2018. Patients were divided into 2 groups (acute coronary syndrome [ACS] and stable coronary artery disease [sCAD]), and the rates of participation in in- and outpatient CR after percutaneous coronary intervention (PCI) were investigated. Propensity score-matched analysis was performed and the association between outpatient CR participation and all-cause mortality 3 months after PCI was examined. Overall, 616,664 patients (ACS, n=202,853; sCAD, n=413,811) were analyzed. The participation rates of CR increased annually. The participation rate was higher for inpatient than outpatient CR in both the ACS (52% vs. 9%, respectively) and sCAD (15% vs. 3%, respectively) groups. Prognosis was better for patients with than without outpatient CR in both the ACS (hazard ratio [HR] 0.52; 95% confidence interval [CI] 0.47–0.59) and sCAD (HR 0.72; 95% CI 0.65–0.80) groups.

Conclusions

Outpatient CR was associated with a better prognosis in patients with ACS or sCAD. The participation rates of outpatient CR following PCI were extremely low in Japan.

Key Words: Cardiac rehabilitation, Coronary artery disease, Percutaneous coronary intervention, The National database


Cardiac rehabilitation (CR) is an evidence-based intervention associated with a reduction in mortality and rehospitalization, as well as improved quality of life, in patients with coronary artery disease (CAD), including both acute coronary syndrome (ACS) and stable CAD (sCAD).13 Current guidelines in Japan show that CR is strongly recommended after myocardial infarction and percutaneous coronary intervention (PCI).4

However, the rate of CR participation is low worldwide, especially in Japan.5,6 Previous surveys demonstrated that the rates of participation in CR for ACS in Japan were lower than in the US, UK, and France.7,8 A recent Japanese survey (i.e., Japanese Registry Of All cardiac and vascular Diseases [JROAD]) showed that the overall number of patients receiving CR is gradually increasing in Japan,9 but very little evidence has been published regarding CR participation rates and the effect of CR on mortality after PCI.

The aims of this study were to describe the current participation rates of CR after PCI in ACS and sCAD patients and to investigate the effects of outpatient CR after PCI on the mortality rate using a nationwide administrative database in Japan.

Methods

Data Source

Data were extracted from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) between April 2013 and March 2019; data were provided by the Japan Ministry of Health, Labour, and Welfare. The NDB is a Japanese administrative claims database that includes claims on inpatient or outpatient services and prescriptions. Japan has a universal health coverage system, and the NDB covers approximately 98% of data on healthcare services provided by healthcare institutions, regardless of the type of insurance.10 The NDB allows each patient to be followed longitudinally using an individual claims data system and a patient-matching technique in the NDB.11,12 The NDB contains the following information: (1) sex; (2) age group (5-year age groups); (3) diagnostic codes based on the 10th revision of the International Statistical Classification of Diseases (ICD-10) codes and outcome categories; and (4) codes for medical care received, drugs prescribed, and medical examinations performed, not including tests results.

Study Design and Setting

The present retrospective cohort study was based on the NDB. Data were extracted for patients who underwent PCI and were diagnosed with CAD based on ICD-10 codes between April 2014 and March 2018. To extract only patients who underwent their first PCI procedure, a 1-year interval (April 2013–March 2014) was considered as the washout period, and patients who underwent PCI between April 2013 and March 2014 were excluded. Patients <20 years of age or those with missing data were also excluded.

Of the 688,183 patients who underwent PCI between April 2014 and March 2018, 648,648 with CAD underwent PCI for the first time, and patients eligible for inpatient CR were identified. There were 221,814 patients with ACS and 426,834 with sCAD (inpatient cohort). Of these, 202,853 patients with ACS and 413,811 patients with sCAD were alive 3 months after discharge, were followed-up for more than 3 months and were evaluated as an outpatient cohort (Figure 1).

Figure 1.

Figure 1.

Flowchart depicting the study design. In all, 202,853 patients with acute coronary syndrome and 413,811 patients with stable coronary disease were analyzed as the outpatient cohort. PCI, percutaneous coronary intervention.

First, patient participation rates in inpatient and outpatient CR were evaluated. Patients were divided into 2 groups (i.e., ACS and sCAD groups). The inpatient CR participation rate was defined as the number of inpatient CR participants divided by the total number of hospitalized patients; the outpatient CR participation rate was defined as the number of outpatient CR participants divided by the number of patients who were discharged alive and followed-up for more than 3 months. The CR participation rates according to CAD were described according to year and prefecture.

Second, we examined the association between outpatient CR participation rate and primary and secondary outcomes (see below) according to CAD category using propensity score matching.

Variable Definitions

Data were obtained from the NDB regarding the age, sex, date of first PCI, disease codes, prescribed medications and medical treatments for all patients. The patients were classified as having ACS or sCAD based on the procedure codes for PCI (i.e., ACS was defined as PCI for acute myocardial infarction or unstable angina, whereas sCAD was defined as PCI for stable CAD). Inpatient CR participation was identified as ≥1 procedure code for CR during the index hospitalization. In Japan, outpatient CR is covered by insurance up to 60 min per session and 3 times a week. Outpatient CR participation was identified as ≥1 procedure code for CR between discharge and 3 months after the first PCI. Patient characteristics were obtained from inpatient and outpatient data 3 months before hospitalization.

Outcomes

The primary outcome in the present study was all-cause mortality. Death in the database was defined based on the logic-based method for determining mortality (sensitivity, 94.2%; specificity, 98.8%).13 Secondary outcomes were unexpected PCI for ACS, planned PCI, hospitalization for acute heart failure, gastrointestinal bleeding with endoscopic or operative hemostasis, and cerebrovascular infarction and intracranial hemorrhage. Hospitalization for acute heart failure was defined as an emergency hospitalization with heart failure treated with intravenous diuretics. Cerebrovascular infarction and intracranial hemorrhage were defined as hospitalization into the stroke care unit, surgery, or catheter intervention for cerebral hemorrhage or stroke, or the use of alteplase or edaravone with the codes of stroke.

Statistical Analysis

Patient clinical characteristics according to outpatient CR participation before and after matching are described as numbers and percentages for categorical variables or as the median and interquartile range (IQR) for continuous variables. Baseline characteristics were compared using the standardized difference. Propensity scores were generated using multivariate logistic regression models for participation in outpatient CR. Variables included in the model were age, sex, medications, emergency admission, treatments during the index hospitalization, and length of hospital stay. Propensity score matching was performed for CR participants and non-participants in a 1 : 1 ratio using nearest neighbor matching without replacement. Kaplan-Meier curves, log-rank tests and Cox proportional hazards models were used to estimate the association between outpatient CR participation and each endpoint. Survival time was counted from the first PCI date with a minimum of 90 days (landmark period). In addition, sensitivity analyses were conducted for the primary outcome. First, we performed the same analysis using multivariable Cox regression analysis using the same covariates instead of propensity score matching. Second, to analyze the effect of outpatient CR in patients who underwent inpatient CR, propensity score matching analysis was performed in patients who underwent CR during the first hospitalization. Data were managed using structured query language (SQL), and statistical analyses were performed using STATA v15 (Stata Corp., College Station, TX, USA). Two-tailed P<0.05 was considered significant.

Ethics Statement

The study protocol was approved by the Ethics Committee of Nara Medical University (Registration no. 1123-2) and the study was conducted according to the principles of the Declaration of Helsinki. The requirement for individual informed consent was waived because all data were originally anonymized when provided by the Ministry of Health, Labour and Welfare of Japan.

Results

Inpatient and Outpatient CR Participation

Of the hospitalized patients with CAD who underwent their first PCI, 52% of ACS patients (n=116,320) and 15% of sCAD patients (n=63,650) participated in inpatient CR. Among the population eligible for outpatient CR, 9% of ACS patients (n=19,086) and 3% of sCAD patients (n=11,645) participated in outpatient CR. Of the patients who underwent inpatient CR, the median number of CR sessions within 3 months after the first PCI was 7 (IQR 3–15) for ACS and 6 (IQR 2–12) for stable CAD. The proportion of patients taking part in CR increased between 2014 and 2017. However, the proportion was relatively low for outpatient compared with inpatient CR (Figure 2). The inpatient and outpatient participation rates varied widely across prefectures, ranging from 17.7% to 86.2% for inpatient CR and from 0.5% to 16.6% for outpatient CR among ACS patients, and from 6.3% to 46.5% for inpatient and from 0.1% to 10.0% for outpatient CR among sCAD patients (Figure 3).

Figure 2.

Figure 2.

(A,C) Inpatient and (B,D) outpatient cardiac rehabilitation participation rates among acute coronary syndrome (ACS; A,B) or stable coronary artery disease (sCAD; C,D) patients between 2014 and 2017. Overall cardiac rehabilitation participation rates increased gradually from 2014 to 2017. The prescription rate for outpatient cardiac rehabilitation was lower than that for inpatient cardiac rehabilitation.

Figure 3.

Figure 3.

(A,C) Inpatient and (B,D) outpatient cardiac rehabilitation participation rates among acute coronary syndrome (ACS; A,B) or stable coronary artery disease (sCAD; C,D) patients according to prefecture. The inpatient and outpatient participation rates varied widely between prefectures.

Patient Characteristics

The characteristics of the patients who participated in outpatient CR are presented in Tables 1 and 2. Most patients were 71–80 years of age (58,990 [29.1%] and 157,411 [38.0%] patients in the ACS and sCAD groups, respectively), and the prevalence of females in both groups was <30%. The proportion of patients <80 years of age, using β-blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statins, or respirators, those requiring mechanical circulatory support, and those taking part in CR during hospitalization was higher for patients who took part in outpatient CR than those who did not. Before matching, there were fewer female patients and patients with end-stage renal disease in the CR than non-CR group.

Table 1.

Characteristics of Patients With ACS Before and After Propensity Score Matching

  All patients Before matching After matching
CR (−) CR (+) |SD| CR (−) CR (+) |SD|
No. patients 202,853 183,767 19,086   19,086 19,086  
Age group (years)
 <51 17,069 (8) 14,946 (8) 2,123 (11) 0.295 2,012 (11) 2,123 (11) 0.02
 51–60 28,356 (14) 25,130 (14) 3,226 (17)   3,179 (17) 3,226 (17)  
 61–70 54,532 (27) 48,534 (26) 5,998 (31)   5,964 (31) 5,998 (31)  
 71–80 58,990 (29) 53,197 (29) 5,793 (30)   5,989 (31) 5,793 (30)  
 81–90 38,409 (19) 36,532 (20) 1,877 (10)   1,887 (10) 1,877 (10)  
 >90 5,497 (3) 5,428 (3) 69 (0.4)   55 (0.3) 69 (0.4)  
Female sex 48,774 (24) 45,029 (25) 3,745 (20) 0.118 3,746 (20) 3,745 (20) <0.001
Medications before or during hospitalization
 β-blockers 129,287 (64) 115,032 (63) 14,255 (75) 0.263 14,164 (74) 14,255 (75) 0.011
 ACEI/ARBs 155,162 (77) 139,453 (76) 15,709 (82) 0.158 15,804 (83) 15,709 (82) 0.013
 CCBs 95,251 (47) 87,323 (48) 7,928 (42) 0.121 7,955 (42) 7,928 (42) 0.003
 MRA 26,786 (13) 23,978 (13) 2,808 (15) 0.048 2,567 (13) 2,808 (15) 0.036
 Antidiabetes agents 64,825 (32) 59,121 (32) 5,704 (30) 0.049 5,597 (29) 5,704 (30) 0.012
 PPIs 180,229 (89) 162,699 (89) 17,530 (92) 0.112 17,560 (92) 17,530 (92) 0.006
 Statins 173,810 (86) 156,235 (85) 17,575 (92) 0.223 17,604 (92) 17,575 (92) 0.006
 Loop diuretics 43,978 (22) 40,263 (22) 3,715 (20) 0.060 3,450 (18) 3,715 (20) 0.036
 COPD/asthma medications 13,993 (6.9) 12,797 (7.0) 1,196 (6.3) 0.028 1,076 (5.6) 1,196 (6.3) 0.027
End-stage renal disease 3,632 (1.8) 3,537 (1.9) 95 (0.5) 0.131 78 (0.4) 95 (0.5) 0.013
Emergency admission 190,351 (94) 171,906 (94) 18,445 (97) 0.144 18,538 (97) 18,445 (97) 0.028
Treatments during hospitalization
 NPPV or respirator use 16,051 (8) 14,444 (7.9) 1,607 (8.4) 0.020 1,369 (7.2) 1,607 (8.4) 0.047
 IABP 20,898 (10) 18,402 (10) 2,496 (13) 0.096 2,161 (11) 2,496 (13) 0.054
 ECMO 1,320 (0.7) 1,117 (0.6) 203 (1.1) 0.050 164 (0.9) 203 (1.1) 0.021
No. stents implanted at first PCI
 0 14,039 (6.9) 12,895 (7.0) 1,144 (6.0) 0.008 1,039 (5.4) 1,144 (6.0) 0.007
 1 142,873 (70) 129,072 (70) 13,801 (72)   14,043 (74) 13,801 (72)  
 2 37,637 (19) 34,200 (19) 3,437 (18)   3,350 (18) 3,437 (18)  
 ≥3 8,304 (4.1) 7,600 (4.1) 704 (3.7)   654 (3.4) 704 (3.7)  
CR during hospitalization 110,559 (55) 93,099 (51) 17,460 (92) 1.008 17,459 (92) 17,460 (92) <0.001
Hospital LOS (days) 13 [8–17] 12 [8–17] 14 [10–18] 0.045 14 [10–17] 14 [10–18] 0.021

Unless indicated otherwise, data are presented as n (%) or the median [interquartile range]. ACEI, angiotensin-converting-enzyme inhibitor; ACS, acute coronary syndrome; ARB, angiotensin II receptor blocker; CCBs, calcium channel blockers; COPD, chronic obstructive pulmonary disease; CR, cardiac rehabilitation; ECMO, extracorporeal membrane oxygenation; IABP, intra-aortic balloon pumping; LOS, length of stay; MRA, mineralocorticoid antagonists; NPPV, non-invasive positive pressure ventilation; PCI, percutaneous coronary intervention; PPIs, proton pump inhibitors; SD, standardized difference.

Table 2.

Characteristics of Patients With sCAD Before and After Propensity Score Matching

  All patients Before matching After matching
CR (−) CR (+) |SD| CR (−) CR (+) |SD|
No. patients 413,811 402,166 11,645   11,644 11,644  
Age (years)
 <51 14,684 (3.5) 14,128 (3.5) 556 (4.8) 0.127 472 (4.1) 555 (4.8) 0.05
 51–60 38,224 (9.2) 37,006 (9.2) 1,218 (11)   1,152 (9.9) 1,218 (11)  
 61–70 109,571 (27) 106,334 (26) 3,237 (28)   3,170 (27) 3,237 (28)  
 71–80 157,411 (38) 152,848 (38) 4,563 (39)   4,632 (40) 4,563 (39)  
 81–90 87,808 (21) 85,817 (21) 1,991 (17)   2,154 (19) 1,991 (17)  
 >91 6,113 (1.5) 6,033 (1.5) 80 (0.7)   64 (0.5) 80 (0.7)  
Female sex 107,572 (26) 104,488 (26) 3,084 (27) 0.011 3,161 (27) 3,084 (27) 0.015
Medications before or during hospitalization
 β-blockers 198,331 (48) 191,648 (48) 6,683 (57) 0.196 6,600 (57) 6,682 (57) 0.014
 ACEI/ARBs 247,411 (60) 239,666 (60) 7,745 (67) 0.144 7,719 (66) 7,744 (67) 0.005
 CCBs 237,640 (57) 231,457 (58) 6,183 (53) 0.090 6,253 (54) 6,183 (53) 0.012
 MRA 39,753 (9.6) 37,819 (9.4) 1,934 (17) 0.215 1,843 (16) 1,933 (17) 0.021
 Antidiabetes agents 155,963 (38) 151,648 (38) 4,315 (37) 0.014 4,178 (36) 4,315 (37) 0.024
 PPIs 306,637 (74) 297,648 (74) 8,989 (77) 0.074 8,960 (77) 8,988 (77) 0.006
 Statins 278,769 (67) 270,246 (67) 8,523 (73) 0.131 8,511 (73) 8,522 (73) 0.002
 Loop diuretics 81,998 (20) 78,925 (20) 3,073 (26) 0.161 2,961 (25) 3,073 (26) 0.022
 COPD/asthma medication 29,301 (7.1) 28,359 (7.1) 942 (8.1) 0.039 886 (7.6) 942 (8.1) 0.018
End-stage renal disease 23,557 (5.7) 23,269 (5.8) 288 (2.5) 0.167 270 (2.3) 288 (2.5) 0.010
Emergency admission 89,879 (22) 85,835 (21) 4,044 (35) 0.301 4,020 (35) 4,044 (35) 0.004
Treatments during hospitalization
 NPPV or respirator use 12,756 (3.1) 11,935 (3.0) 821 (7.1) 0.188 725 (6.2) 821 (7.1) 0.033
 IABP 6,534 (1.6) 6,038 (1.5) 496 (4.3) 0.165 392 (3.4) 495 (4.3) 0.046
 VA-ECMO 335 (0.1) 317 (0.1) 18 (0.2) 0.022 15 (0.1) 18 (0.2) 0.007
No. stents implanted at first PCI
 0 35,182 (8.5) 34,165 (8.5) 1,017 (8.7) 0.018 913 (7.8) 1,017 (8.7) 0.001
 1 249,876 (60) 242,993 (60) 6,883 (59)   7,036 (60) 6,883 (59)  
 2 100,728 (24) 97,825 (24) 2,903 (25)   2,919 (25) 2,902 (25)  
 ≥3 28,025 (6.8) 27,183 (6.8) 842 (7.2)   776 (6.7) 842 (7.2)  
CR during hospitalization 59,867 (15) 53,174 (13) 6,693 (58) 1.044 6,686 (57) 6,692 (58) 0.001
Hospital LOS (days) 4 [3–9] 4 [3–9] 7 [3–15] 0.225 6 [3–14] 7 [3–15] 0.051

Data are presented as number (%) or median (interquartile range). sCAD, stable coronary artery disease; VA, venoarterial. Other abbreviations as in Table 1.

Primary and Secondary Outcomes

The crude primary and secondary outcomes are described in Supplementary Tables 1 and 2. After propensity score matching, 19,086 ACS patients and 11,644 sCAD patients were matched with patients who did not participate in outpatient CR. The C-statistic for the model was 0.76 and 0.76 in the ACS and sCAD groups, respectively. The baseline covariates were well balanced between the 2 groups (standardized differences <10% for all variables). In the matched outpatient cohort, the median follow-up duration was 2.6 and 2.7 years in the ACS and sCAD groups, respectively. During follow-up of ACS patients, all-cause deaths occurred in 423 (2.2%) patients with outpatient CR and 807 (4.2%) patients without outpatient CR. Among sCAD patients, all-cause deaths occurred in 623 (5.4%) and 844 (7.3%) patients among those with and without outpatient CR, respectively. Compared with non-CR participants, there was a decreased risk of all-cause mortality among CR participants in both the ACS (hazard ratio [HR] 0.52; 95% confidence interval [CI] 0.47–0.59; P<0.001) and sCAD (HR 0.72; 95% CI 0.65–0.80; P<0.001) groups (Table 3; Figure 4).

Table 3.

Adjusted HRs for the Primary and Secondary Endpoints

  ACS group sCAD group
Adjusted HR 95% CI P value Adjusted HR 95% CI P value
Primary endpoint
 All-cause mortality 0.52 0.47–0.59 <0.01 0.72 0.65–0.80 <0.01
Secondary endpoints
 Emergency PCI 0.86 0.74–1.00 0.06 1.03 0.82–1.29 0.80
 Planned PCI 1.01 0.96–1.07 0.06 1.06 0.99–1.13 0.06
 Acute heart failure 0.67 0.58–0.78 <0.01 0.76 0.67–0.87 <0.01
 Gastrointestinal bleeding 0.86 0.69–1.08 0.19 1.14 0.92–1.40 0.23
 Stroke or ICH 0.93 0.73–1.20 0.59 0.75 0.58–0.98 0.04

CI, confidence interval; HR, hazard ratio; ICH, intracranial hemorrhage. Other abbreviations as in Tables 1,2.

Figure 4.

Figure 4.

Kaplan-Meier curves for patients with and without outpatient cardiac rehabilitation among (A) acute coronary syndrome (ACS) and (B) stable coronary artery disease (sCAD) patients. Outpatient cardiac rehabilitation (solid lines) was associated with better prognosis than no rehabilitation (dotted lines) in both groups.

HRs for the secondary outcomes are presented in Table 3. Participating in CR was associated with a lower risk of acute heart failure in both the ACS (HR 0.67; 95% CI 0.58–0.78; P<0.001) and sCAD (HR 0.76; 95% CI 0.67–0.87; P<0.001) groups and tended to be associated with a lower risk of emergency PCI in the ACS group (HR 0.86; 95% CI 0.74–1.00; P=0.05). There was no significant relationship between planned PCI and gastrointestinal bleeding in either the ACS or sCAD group. In addition, when analyses were performed using a multivariable Cox proportional hazard model for all outpatient cohorts, HR for all-cause mortality in patients with outpatient CR was 0.49 (95% CI 0.44–0.54; P<0.001) in the ACS group and 0.72 (95% CI 0.67–0.78; P<0.001) in the sCAD group. Additional analysis using propensity score matching analysis limited to patients who underwent inpatient CR during the first hospitalization revealed that the adjusted HR for all-cause mortality was 0.52 (95% CI 0.46–0.59; P<0.001) in the ACS group and 0.69 (95% CI 0.61–0.79; P<0.001) in the sCAD group. The outcomes of the sensitivity analyses revealed consistent results with the primary analysis for all-cause mortality.

Discussion

The significant findings of this nationwide study using the largest administrative database in Japan were that: (1) participation in outpatient CR was extremely low compared with inpatient CR, and was lower in patients with sCAD than ACS; (2) there were marked regional differences in the prescription rate of CR in Japan; and (3) participation in outpatient CR was associated with lower mortality and hospitalization for acute heart failure. To the best of our knowledge, this is the largest study on the current status of CR and the efficacy of outpatient CR in Japan.

Rate of Outpatient CR

The participation rates for inpatient and outpatient CR have been very low in Japan. A previous 2007 study reported that the participation rate of inpatient CR in patients with ACS was 20% in Japanese Circulation Society-certified teaching hospitals, whereas the nationwide participation rate in outpatient CR after ACS was estimated to be only 3.8–7.6%.14 Although the regional clinical alliance path for bridging acute-to-chronic phase treatment was available for patients with ACS, the rate of implementation of the regional clinical alliance path was only 10% in 2009, which was lower than that in stroke.15 In 2018, the annual report from the JROAD database reported that the number of new patients taking part in CR and the number of facilities providing CR were increasing.9 In the present study, there were gradual annual increases in the rate of CR participation. However, the participation rates for outpatient CR were very low (9% for patients with ACS and 3% for patients with sCAD) compared with inpatient CR. The rate of CR participation is also low worldwide. Participation in CR is a Class Ia recommendation of the American Heart Association/American College of Cardiology guidelines for individuals with ACS or sCAD,2 but CR participation rates in the US range from 19% to 34%.16,17

There may be some reasons explaining the lower rate of outpatient CR participation in Japan. In the present study there were significant regional differences in the rate of CR participation, and this may be because the number of hospitals approved to provide CR and the number of medical staff may be insufficient in prefectures with lower CR participation rates. The number of hospitals with outpatient CR programs is lower in Japan than in US.18 In the present study, the median length of hospital stay was 13 days for ACS patients and 4 days for sCAD patients, which is shorter than the median length of hospital stay for these patient groups in the past 2 decades.19 Because of the shorter hospital stay, there is an urgent need for hospitals with an outpatient CR program. If the number of outpatient CR programs in acute care hospitals is not sufficient, outpatient CR programs should be made widely available in smaller hospitals or community clinics.

Effect of Outpatient CR

We found that attending outpatient CR was associated with a significant reduction in all-cause mortality. These results are consistent with previously published cohort studies in the US, where Goel et al reported a 45–47% decrease in all-cause mortality in patients who participated in CR after PCI,20 and Witt et al reported a 56% decrease in all-cause mortality associated with CR after ACS.17 A population-based study in Germany found that CR was associated with a lower mortality HR of 0.65 for all-cause mortality in patients with ACS, patients who underwent PCI, and patients who underwent cardiovascular surgery.21 A recent systematic review by Anderson et al found a lower risk of cardiovascular death following acute myocardial infarction or revascularization in patients participating in CR.3 Evidence supporting outpatient CR for patients with sCAD is weak compared with that for patients with ACS. A 2018 systematic review of 7 randomized control trials in sCAD patients found no evidence of benefit in terms of all-cause mortality.22 A possible explanation for the apparent discrepancy with the results of the present study is that the sample size of the systematic review was relatively small and included patients with sCAD without PCI. In the present study, outpatient CR was associated with lower mortality and acute heart failure in both the ACS and sCAD groups. The greater survival benefits in the present study may be explained by the comprehensive effects of outpatient CR. Patients with outpatient CR underwent not only exercise-based interventions, but also a combination of medical interventions (e.g., lifestyle behavior changes, risk factor modification, guideline-based medications, and close follow-up at specialized facilities). Kamiya et al reported that the multidisciplinary team approach, including exercise and patient education, is effective in patients with heart failure.23 The combination of interventions must have resulted in higher motivation and better self-management skills, and consequently a reduction in the risk of all-cause mortality and acute heart failure.

In this study we reported all-cause mortality based on the logic-based method because the original mortality definition in the NDB was not specified. Although the nationwide long-term mortality in patients with sCAD with outpatient CR has never been reported in Japan, the crude mortality in patients with ACS was almost similar to that in other registries.24 It should be noted that the crude mortality in patients with ACS was slightly lower than in patients with sCAD. One of the possible reasons for this is that patients with sCAD were older than those with ACS and may have had several comorbidities, such as arrhythmia, heart failure, stroke, and peripheral artery disease.25

Similar to previous reports from the US and Europe,17,20,21 the present study from Japan demonstrated that CR reduces mortality. In contrast, the findings suggested that outpatient CR participation remained low and there was marked regional variation in CR participation in Japan. Strategies to increase CR by expanding the number of certified facilities and educated medical staff are needed, and we should examine the effects of these strategies in the future.

Study Limitations

Although this study used a nationwide real-world cohort, it has several limitations. First, this was a retrospective observational study using administrative data and unmeasured confounders were present, such as cardiac function, baseline activities of daily living before admission or at discharge, the extent or duration of CR, details of the CR program, and culprit lesions in patients with ACS. In this study we performed multivariate Cox regression analysis in addition to propensity matching and demonstrated the robustness of the study. Second, the definitions of each outcome, such as acute heart failure and stroke, are not fully validated. Third, the causes of mortality are not known. Therefore, we may have included accidental deaths, and the findings may not reflect exact cardiovascular outcomes. However, the number of accidental deaths is usually very low and would have been unlikely to affect the analyses. Finally, the database did not include a small number of patients who were not covered by medical insurance.

Conclusions

In Japan, the prescription rate for outpatient CR after PCI was very low, with even more striking differences in some regions. Outpatient CR was associated with beneficial outcomes in patients with ACS and sCAD.

Sources of Funding

This research was funded by a Labor Research Grant (Grant no. 19FA1002) from the Ministry of Health, Labour and Welfare, Japan.

Disclosures

The authors have no conflicts of interest to declare.

IRB Information

This study was approved by the Ethics Committee of Nara Medical University (Registration no. 1123-2).

Supplementary Files

Supplementary File 1

Supplementary Table 1. Crude Event Rates in Patients With Acute Coronary Syndrome Supplementary Table 2. Crude Event Rates in Patients With Stable Coronary Artery Disease

circrep-3-122-s001.pdf (321KB, pdf)

Acknowledgments

The authors are grateful to Tsuneyuki Higashino and all the investigators at Mitsubishi Research Institute (Tokyo, Japan) for data preparation and management.

Data Availability

The deidentified participant data will not be shared.

References

  • 1. O’Gara PT, Kushner FG, Ascheim DD, Casey DE, Chung MK, de Lemos JA, et al.. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation 2013; 127: e362–e425. [DOI] [PubMed] [Google Scholar]
  • 2. Smith SC Jr, Benjamin EJ, Bonow RO, Braun LT, Creager MA, Franklin BA, et al.. AHA/ACCF secondary prevention and risk reduction therapy for patients with coronary and other atherosclerotic vascular disease: 2011 update: A guideline from the American Heart Association and American College of Cardiology Foundation endorsed by the World Heart Federation and the Preventive Cardiovascular Nurses Association. J Am Coll Cardiol 2011; 58: 2432–2446. [DOI] [PubMed] [Google Scholar]
  • 3. Anderson L, Oldridge N, Thompson DR, Zwisler AD, Rees K, Martin N, et al.. Exercise-based cardiac rehabilitation for coronary heart disease: Cochrane systematic review and meta-analysis. J Am Coll Cardiol 2016; 67: 1–12. [DOI] [PubMed] [Google Scholar]
  • 4. JCS Joint Working Group.. Guidelines for rehabilitation in patients with cardiovascular disease (JCS 2012): Digest version. Circ J 2014; 78: 2022–2093. [DOI] [PubMed] [Google Scholar]
  • 5. Schopfer DW, Krishnamurthi N, Shen H, Duvernoy CS, Forman DE, Whooley MA.. Association of veterans health administration home-based programs with access to and participation in cardiac rehabilitation. JAMA Intern Med 2018; 178: 715–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Beatty AL, Truong M, Schopfer DW, Shen H, Bachmann JM, Whooley MA.. Geographic variation in cardiac rehabilitation participation in Medicare and Veterans Affairs populations: Opportunity for improvement. Circulation 2018; 137: 1899–1908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Goto Y.. Current state of cardiac rehabilitation in Japan. Prog Cardiovasc Dis 2014; 56: 557–562. [DOI] [PubMed] [Google Scholar]
  • 8. Kohzuki M.. Late phase II cardiac rehabilitation, which is adding life to years and years to life, is still underused in Japan. Circ J 2016; 80: 1697–1699. [DOI] [PubMed] [Google Scholar]
  • 9. Japanese Registry Of All cardiac and vascular Diseases (JROAD).. Survey on medical cardiovascular disease 2018. http://www.j-circ.or.jp/jittai_chosa/jittai_chosa2018web.pdf [in Japanese].
  • 10. Yasunaga H.. Real world data in Japan: Chapter I NDB. Ann Clin Epidemiol 2019; 1: 28–30. [Google Scholar]
  • 11. Kubo S, Noda T, Myojin T, Nishioka Y, Higashino T, Matsui H, et al.. National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB): Outline and patient-matching technique. bioRxiv, doi:10.1101/280008. [Google Scholar]
  • 12. Noda T, Kubo S, Myojin T, Nishioka Y, Higashino T, Matsui H, et al.. Patient-matching technique in National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). J Health Welfare Statistics 2017; 64: 7–13 (in Japanese). [Google Scholar]
  • 13. Kubo S, Noda T, Nishioka Y, Myojin T, Nakanishi Y, Furihata S, et al.. Mortality tracking using the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB). Jpn J Med Informatics 2019; 39: 297–301 (in Japanese). [Google Scholar]
  • 14. Goto Y, Saito M, Iwasaka T, Daida H, Kohzuki M, Ueshima K, et al.. Poor implementation of cardiac rehabilitation despite broad dissemination of coronary interventions for acute myocardial infarction in Japan: A nationwide survey. Circ J 2007; 71: 173–179. [DOI] [PubMed] [Google Scholar]
  • 15. Arakawa T, Kumasaka L, Nakanishi M, Nagayama M, Adachi H, Ikeda K, et al.. Regional clinical alliance path and cardiac rehabilitation after hospital discharge for acute myocardial infarction patients in Japan: A nationwide survey. Circ J 2016; 80: 1750–1755. [DOI] [PubMed] [Google Scholar]
  • 16. Ades PA, Keteyian SJ, Wright JS, Hamm LF, Lui K, Newlin K, et al.. Increasing cardiac rehabilitation participation from 20% to 70%: A road map from the Million Hearts Cardiac Rehabilitation Collaborative. Mayo Clin Proc 2017; 92: 234–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Witt BJ, Jacobsen SJ, Weston SA, Killian JM, Meverden RA, Allison TG, et al.. Cardiac rehabilitation after myocardial infarction in the community. J Am Coll Cardiol 2004; 44: 988–996. [DOI] [PubMed] [Google Scholar]
  • 18. Curnier DY, SavagePD, Ades PA.. Geographic distribution of cardiac rehabilitation programs in the United States. J Cardiopulm Rehab 2005; 25: 80–84. [DOI] [PubMed] [Google Scholar]
  • 19. Kinjo K, Sato H, Nakatani D, Mizuno D, Shimizu M, Hishida E, et al.. Predictors of length of hospital stay after acute myocardial infarction in Japan. Circ J 2004; 68: 809–815. [DOI] [PubMed] [Google Scholar]
  • 20. Goel K, Lennon RJ, Tilbury RT, Squires RW, Thomas RJ.. Impact of cardiac rehabilitation on mortality and cardiovascular events after percutaneous coronary intervention in the community. Circulation 2011; 123: 2344–2352. [DOI] [PubMed] [Google Scholar]
  • 21. de Vries H, Kemps HM, van Engen-Verheul MM, Kraaijenhagen RA, Peek N.. Cardiac rehabilitation and survival in a large representative community cohort of Dutch patients. Eur Heart J 2015; 36: 1519–1528. [DOI] [PubMed] [Google Scholar]
  • 22. Long L, Anderson L, Dewhirst AM, He J, Bridges C, Gandhi M, et al.. Exercise-based cardiac rehabilitation for adults with stable angina. Cochrane Database Syst Rev 2018; 2: CD012786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Kamiya K, Sato Y, Takahashi T, Tsuchihashi-Makaya M, Kotooka N, Ikegame T, et al.. Multidisciplinary cardiac rehabilitation and long-term prognosis in patients with heart failure. Circ Heart Fail 2020; 13: e006798. [DOI] [PubMed] [Google Scholar]
  • 24. Ishihara M, Nakao K, Ozaki Y, Kimura K, Ako J, Noguchi T, et al.. Long-term outcomes of non-ST-elevation myocardial infarction without creatine kinase elevation: The J-MINUET study. Circ J 2017; 81: 958–965. [DOI] [PubMed] [Google Scholar]
  • 25. Soeda T, Okura H, Saito Y, Nakao K, Ozaki Y, Kimura K, et al.. Clinical characteristics and in-hospital outcomes in patients aged 80 years or over with cardiac troponin-positive acute myocardial infarction: J-MINUET study. J Cardiol 2021; 77: 139–146. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary File 1

Supplementary Table 1. Crude Event Rates in Patients With Acute Coronary Syndrome Supplementary Table 2. Crude Event Rates in Patients With Stable Coronary Artery Disease

circrep-3-122-s001.pdf (321KB, pdf)

Data Availability Statement

The deidentified participant data will not be shared.


Articles from Circulation Reports are provided here courtesy of The Japanese Circulation Society

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