Circulation Reports
Online ISSN : 2434-0790
Cardiac Rehabilitation
Efficacy of Early Cardiac Rehabilitation After Cardiac Surgery ― Verification Using Japanese Diagnosis Procedure Combination Data ―
Akira SezaiTomoki ShimokawaKoshiro KanaokaNagaharu FukumaHisakuni SekinoHirokazu ShiraishiYoko SumitaMichikazu NakaiYoshitaka IwanagaYutaka FurukawaShin-ichiro MiuraYusuke OyaTakanori YasuShigeru Makita
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Supplementary material

2022 Volume 4 Issue 11 Pages 505-516

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Abstract

Background: The current status of cardiac rehabilitation (CR) after cardiac surgery and the introduction of early CR (E-CR) in Japan are not fully understood. In this study, the current status of E-CR and its efficacy were investigated by the Academic Committee of the Japanese Association of Cardiac Rehabilitation.

Methods and Results: We examined the rate of introduction of E-CR and its effects among 220,122 patients who underwent major cardiac and thoracic vascular surgery, as registered in the Diagnosis Procedure Combination (DPC) classification system, between April 2012 and March 2018. In this study, E-CR was defined as CR starting within 1 day after surgery. Patients with and without E-CR were propensity score matched and analyzed for clinical outcomes. Of all patients participating in CR after surgery, E-CR was initiated in 52.1%, 56.9%, 47.4%, and 54.1% of patients undergoing coronary artery bypass grafting, valve surgery, aortic surgery, and other cardiovascular surgery, respectively. After propensity score matching, outcomes for E-CR were significantly superior to non-E-CR in terms of in-hospital deaths, Barthel Index score at discharge, length of hospital stay, and hospitalization costs.

Conclusions: E-CR after cardiac surgery was effective in terms of prognosis, hospital stay, and medical costs. This study is the first report using big data in Japan. The results indicate that further introduction of E-CR needs to be recommended in the future.

Cardiac rehabilitation (CR) started in the 1960 s for acute myocardial infarction1 and is now used for various cardiovascular diseases, such as chronic heart failure, and after cardiac surgery. CR improves exercise tolerance, coronary risk factors and patients’ quality of life (QOL), reduces cardiovascular recurrence and mortality,2,3 and is a Class I recommendation in various European, US, and Japanese guidelines.47 In recent years, multidisciplinary interventions by physicians, nurses, dieticians, pharmacists, and other multidisciplinary team members from pre- to post-discharge has been shown to reduce readmission rates, improve QOL, and save medical costs.4

With advances in minimally invasive cardiac surgery and postoperative management, the indications for surgery have expanded to include high-risk and much older patients. In addition, frailty and sarcopenia have been regarded as important prognostic factors in cardiac surgery, and postoperative CR is important.8 Furthermore, after cardiac surgery, CR has been shown to be effective from various aspects, such as exercise tolerance, autonomic nerve activity, cardiac and peripheral functions, QOL, psychological aspects, rehospitalization rates, and medical costs.9,10 In Japan, the introduction of CR was delayed compared with Europe and the US, but reimbursement for acute myocardial infarction was approved in 1988, and the indication for CR was expanded to open heart surgery in 1996.

However, the current status of CR after cardiac surgery and the introduction of early CR (E-CR) in Japan are not fully known. Therefore, this study investigated the current status and effectiveness of E-CR in 220,122 patients who underwent cardiac and thoracic aortic surgery, as registered in the Diagnosis Procedure Combination (DPC) classification system, between April 2012 and March 2018. In addition, the effectiveness of E-CR was investigated by the Academic Committee of the Japanese Association for Cardiac Rehabilitation.

Methods

Source of Data

We used the Japanese Registry of All Cardiac and Vascular Diseases and DPC (JROAD-DPC) database. The JROAD-DPC is a claim database derived from the Japanese DPC/per diem payment system (PDPS), and covered over 1,000 Japanese Circulation Society (JCS)-certified training hospitals during the study period.11,12 The JROAD-DPC includes detailed patient information, such as age, sex, body mass index (BMI), Barthel Index (a performance scale of the activities of daily living [ADL]), diagnostic and comorbidity codes based on the 10th revision of the International Statistical Classification of Diseases (ICD-10) codes, therapeutic procedures, medications, hospitalization costs, and in-hospital outcomes. The JROAD-DPC database was merged with the hospital-level database (JROAD), which includes hospital characteristics, such as the number of surgeons and the number of hospital beds in each hospital.13

Study Design and Patients

This was a retrospective nationwide study that used the JROAD-DPC database. We extracted patients who underwent open surgery for cardiovascular diseases, including coronary artery diseases, valve diseases, and aortic diseases, between April 2012 and March 2018. The procedural codes for open surgery were: K539-2, K540, K544, K551, K552, K552-2, K553, K553-2, K554, K554-2, K555, K555-2, K555-3, K556, K557, K557-2, K557-3, K557-4, K558, K559, K560, K560-2, K577, K592, K592-2, K593. We included adult patients who underwent open surgery and were eligible for inpatient CR in the early phase after surgery. Patients meeting the following criteria were excluded: age <18 years; discharged from hospital within 2 days after the operation; undergoing open surgery after 2 weeks of hospitalization; hospitalized in facilities that were not CR certified; (5) undergoing rehabilitation for disuse syndrome; and (6) missing data.

We focused on the timing of the start of CR after open surgery. Of all patients who were eligible for E-CR, those who did not participate in CR and those who started CR 2 weeks after open surgery were excluded from this study. The patients included in the study were categorized into 2 groups (E-CR and non-E-CR) by the median number of days after open surgery when CR was started.

The association between E-CR and non-E-CR and each outcome was analyzed according to the category of open surgery. All patients eligible for inpatient CR were divided into 4 groups using the following surgical categories: coronary artery bypass grafting (CABG); valve disease (patients underwent open-heart surgery for valvular heart diseases); aortic disease (patients underwent open-heart surgery for aortic diseases such as aortic aneurysm and acute aortic dissection); other diseases (patients underwent open surgery for other diseases, including cardiac tumor and pulmonary artery thrombectomy). Patients who underwent combined surgeries were registered for each operative method.

Outcome Measures

The primary outcomes were in-hospital all-cause mortality and the Barthel Index score (BIS) at discharge. The BIS was determined as the sum of scores for all questions on the questionnaire and was analyzed as a continuous variable.14 Patients who died during hospitalization were assigned a BIS of 0.15,16 The secondary outcomes were the length of hospital stay and the total hospitalization cost. Total hospitalization costs were calculated as the sum of bundled payments and fee-for-service payments, without the food fee.

Statistical Analysis

Categorical variables are presented as numbers and percentages, whereas continuous variables are presented as the mean±SD or median with interquartile range (IQR). Comparisons between the E-CR and non-E-CR groups were made using the χ2 test and Wilcoxon rank-sum test for categorical and continuous variables, respectively.

Propensity score matching (PSM) was used to compare outcomes between the E-CR and non-E-CR groups. Propensity scores of patients receiving E-CR or non-E-CR were generated using a multivariate logistic regression model adjested for age, sex, BMI, Charlson comorbidity index on admission, emergency admission, cardiovascular risk factors (heart failure, aortic valve stenosis, and infective endocarditis), comorbidities (chronic kidney diseases, cerebrovascular diseases, peripheral vascular diseases, chronic obstructive lung diseases and diabetes [with oral hyperglycemic agents]), medications, and cardiopulmonary support devices before the operation. The variables used for adjustment were extracted with reference to Japan SCORE from the Japan Adult Cardiovascular Surgery Database and EuroSCORE II.17,18 PSM was performed in a 1 : 1 ratio using nearest-neighbor matching with caliper width equal to 0.2 of the standard deviation of the logit of the propensity score without replacement. The balance between groups after PSM was assessed using the standardized difference. We analyzed associations between E-CR or non-E-CR and each endpoint using mixed-effects logistic regression models or multiple regression models with hospital as a random effect.

Sensitivity analyses were conducted using 2 additional statistical models with the same confounders to confirm the robustness of the results. First, we conducted mixed-effects logistic regression analysis for complete case (without PSM). Second, we performed inverse probability of treatment weighting (IPTW) using the propensity scores with the same variables for adjustments. The stabilized average treatment effect weight was used for IPTW analysis, which allowed us to maintain the cohort size of the original data and provided a more accurate interval estimate of the variance of the main effect compared with the non-stabilized IPTW.19

Two-sided P<0.05 was considered statistically significant. All analyses were performed using Stata 17 (StataCorp, College Station, TX, USA).

Ethics Statement

The specific study plan for this study was approved by the Ethics Committee of the Japanese Red Cross Toyota College of Nursing, Aichi, Japan (Institutional Study No. 2006; Principal Investigator: Nagaharu Fukuma, MD, PhD). This study was approved by the Japanese Association of Cardiac Rehabilitation and the JCS. The JROAD-DPC study was planned in accordance with the World Medical Association’s Declaration of Helsinki and approved by the Institutional Review Board of the National Cerebral and Cardiovascular Center (NCVC), Osaka, Japan, which waived the requirement for individual informed consent according to the “opt-out” principle. Each participating hospital anonymized each patient’s identity in the DPC/PDPS claim data by a code change equation and submitted the DPC/PDPS claim data to the NCVC.

Results

Patients (Figure 1; Table 1)

Figure 1.

Study flow chart. CABG, coronary artery bypass grafting; CR, cardiac rehabilitation.

Table 1. Baseline Characteristics in Patients Undergoing CABG, Valve Surgery, Aortic Surgery or Other CV Surgery
  CABG Valve surgery Aortic surgery Other
No. patients 42,772 47,490 40,225 1,557
Age (years) 71 [64–77] 72 [64–78] 70 [63–77] 68 [59–75]
Female sex 10,084 (23.6) 21,573 (45.4) 11,703 (29.1) 864 (55.5)
BMI (kg/m2)
 <18.5 2,280 (5.3) 5,277 (11.1) 2,988 (7.4) 149 (9.6)
 18.5–24.9 26,450 (61.8) 30,825 (64.9) 24,773 (61.6) 1,007 (64.7)
 25.0–29.9 11,826 (27.6) 9,649 (20.3) 10,551 (26.2) 335 (21.5)
 ≥30.0 2,216 (5.2) 1,739 (3.7) 1,913 (4.8) 66 (4.2)
CCI 2 [1–3] 1 [1–2] 2 [1–2] 1 [1–2]
BIS at admission
 ≤90 3,812 (8.9) 3,960 (8.3) 2,407 (6.0) 159 (10.2)
 >90 32,802 (76.7) 40,661 (85.6) 28,174 (70.0) 1,214 (78.0)
 Missing 6,158 (14.4) 2,869 (6.0) 9,644 (24.0) 184 (11.8)
Emergency admission (%) 11,299 (26.4) 5,339 (11.2) 14,138 (35.1) 451 (29.0)
Ambulance use (%) 6,318 (14.8) 2,464 (5.2) 10,545 (26.2) 197 (12.7)
ICU or HCU 38,424 (89.8) 42,987 (90.5) 34,757 (86.4) 1,421 (91.3)
Japan Coma Scale at admission
 Alert 41,625 (97.3) 46,744 (98.4) 37,739 (93.8) 1,501 (96.4)
 Dizziness 720 (1.7) 518 (1.1) 1,509 (3.8) 31 (2.0)
 Somnolence 168 (0.4) 104 (0.2) 437 (1.1) 11 (0.7)
 Coma 259 (0.6) 124 (0.3) 540 (1.3) 14 (0.9)
Length of stay until surgery 4 [2–7] 4 [2–6] 2 [1–4] 3 [2–6]
CV risk factors
 Heart failure 15,754 (36.8) 24,734 (52.1) 9,774 (24.3) 602 (38.7)
 Aortic stenosis 6,919 (16.2) 28,481 (60.0) 8,723 (21.7) 66 (4.2)
 Endocarditis 143 (0.3) 1,551 (3.3) 191 (0.5) 17 (1.1)
Comorbidities (%)
 Atrial fibrillation 3,711 (8.7) 11,688 (24.6) 3,538 (8.8) 233 (15.0)
 CKD or HD 7,038 (16.5) 5,851 (12.3) 3,190 (7.9) 100 (6.4)
 Diabetes 14,658 (34.3) 7,122 (15.0) 3,417 (8.5) 214 (13.7)
 CVD 990 (2.3) 1,079 (2.3) 1,091 (2.7) 79 (5.1)
 PAD 2,643 (6.2) 1,217 (2.6) 1,638 (4.1) 41 (2.6)
 COPD 908 (2.1) 1,010 (2.1) 1,495 (3.7) 38 (2.4)
 Malignant diseases 1,352 (3.2) 1,295 (2.7) 1,405 (3.5) 219 (14.1)
 Dementia 273 (0.6) 363 (0.8) 354 (0.9) 6 (0.4)
Medications (%)
 ACEI/ARBs 19,899 (46.5) 22,620 (47.6) 19,349 (48.1) 346 (22.2)
 β-blockers 34,462 (80.6) 34,502 (72.7) 26,426 (65.7) 820 (52.7)
 MRA 22,412 (52.4) 31,478 (66.3) 16,366 (40.7) 856 (55.0)
 CCB 38,585 (90.2) 42,288 (89.0) 37,833 (94.1) 1,255 (80.6)
 Statins 29,124 (68.1) 16,149 (34.0) 12,952 (32.2) 340 (21.8)
 HG 14,658 (34.3) 7,122 (15.0) 3,417 (8.5) 214 (13.7)
 Loop diuretics 34,970 (81.8) 42,100 (88.7) 31,052 (77.2) 1,342 (86.2)
 Amiodarone 3,679 (8.6) 5,442 (11.5) 1,986 (4.9) 76 (4.9)
 Digoxin 1,035 (2.4) 2,781 (5.9) 761 (1.9) 59 (3.8)
 NE before surgery 1,234 (2.9) 834 (1.8) 317 (0.8) 20 (1.3)
 DOA before surgery 622 (1.5) 520 (1.1) 148 (0.4) 16 (1.0)
 DOB before surgery 661 (1.5) 892 (1.9) 81 (0.2) 14 (0.9)
Device use (%)
 Respirator before surgery 1,045 (2.4) 1,067 (2.2) 270 (0.7) 22 (1.4)
 IABP before surgery 2,522 (5.9) 456 (1.0) 20 (<1) 2 (0.1)
 ECMO before surgery 38 (0.1) 39 (0.1) 2 (<1) 10 (0.6)
Postoperative MCS 6,368 (14.9) 2,037 (4.3) 338 (0.8) 61 (3.9)
Nutrition counseling 22,350 (52.3) 24,289 (51.1) 17,691 (44.0) 631 (40.5)
Hospital characteristics
 JCS-certified hospital 42,355 (99.0) 47,127 (99.2) 39,785 (98.9) 1,547 (99.4)
 No. hospital beds
  ≤300 3,257 (7.6) 3,379 (7.1) 2,648 (6.6) 75 (4.8)
  301–600 13,179 (30.8) 14,197 (29.9) 12,774 (31.8) 431 (27.7)
  ≥601 26,336 (61.6) 29,914 (63.0) 24,803 (61.7) 1,051 (67.5)
 No. surgeons
  ≤3 17,749 (41.5) 17,691 (37.3) 15,066 (37.5) 567 (36.4)
  ≥4 25,023 (58.5) 29,799 (62.7) 25,159 (62.5) 990 (63.6)

Data are given as the mean±SD, median [interquartile range], or n (%). ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; BIS, Barthel index score; BMI, body mass index; CABG, coronary artery bypass grafting; CCB, calcium channel blocker; CCI, Charlson comorbidity index; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; CV, cardiovascular; CVD, cerebrovascular disease; DOA, dopamine; DOB, dobutamine; ECMO, extracorporeal membrane oxygenation; HCU, high care unit; HD, hemodialysis; HG, hypoglycemic agents; IABP, intra-aortic balloon pumping; ICU, intensive care unit; JCS, Japanese Circulation Society; MCS, mechanical circulatory support; MRA, mineralocorticoid receptor antagonist; NE, norepinephrine; PAD, peripheral atrial disease.

From April 2012 to March 2018, 220,122 patients who had undergone cardiac and thoracic aortic surgery were registered in the DPC database. After exclusion criteria had been applied, 42,772 patients who underwent CABG, 47,490 patients who underwent valve surgery, 40,225 patients who underwent aortic surgery, and 1,557 who underwent other types of cardiovascular surgery were included in this study.

For all surgical procedures, the mean age of patients was approximately 70 years, and the percentage of females undergoing each surgical procedure was low (23.6% and 29.1% for CABG and aortic surgery, respectively). The BIS at admission, a method of assessing ADL, was ≤80 in 8.9%, 8.3%, 6.0%, and 10.2% of patients undergoing CABG, valve surgery, aortic surgery, and other surgery, respectively. The BIS was >80 in 76.7%, 85.6%, 70.0%, and 78.0% of patients undergoing CABG, valve surgery, aortic surgery, and other surgery, respectively. At admission, the Japan Coma Scale was documented for 93.8% of patients who underwent aortic surgery and for >95% of patients who underwent other surgeries. Dizziness, somnolence, and coma were higher among those undergoing aortic surgery (3.8%) than among those undergoing CABG (1.7%), valve surgery (1.1%), and others (2.0%). Diagnoses of heart failure and atrial fibrillation were most common among patients who underwent valve surgery (52.1%). The number of hospital beds was about 30% for 301–600 beds and 60% for 601 beds or more in each surgical procedure.

Outcomes for the E-CR and Non-E-CR Groups (Table 2)

Table 2. Crude Endpoints in Patients Undergoing CABG, Valve Surgery, Aortic Surgery or Other CV Surgery
  CABG Valve surgery Aortic surgery Other
E-CR− E-CR+ P value E-CR− E-CR+ P value E-CR− E-CR+ P value E-CR− E-CR+ P value
No. patients 20,472 22,300   20,457 27,033   21,140 19,085   715 842  
In-hospital deaths 710 (3.4) 334 (1.5) <0.001 703 (3.4) 403 (1.5) <0.001 957 (4.5) 404 (2.1) <0.001 29 (4.1) 12 (1.4) <0.001
BIS at discharge
 All patients 91±23 95±17 <0.001 92±22 95±16 <0.001 89±26 94±19 <0.001 90±25 96±17 <0.001
 Discharged alive 95±15 97±12 <0.001 95±14 97±11 <0.001 93±18 96±13 <0.001 94±17 97±12 <0.001
Length of hospital stay (days) 25 [19–33] 23 [18–29] <0.001 25 [19–34] 23 [18–29] <0.001 25 [19–35] 21 [16–29] <0.001 23 [17–34] 21 [16–27] <0.001
Hospitalization costs (×106 yen) 4.3 [3.4–5.7] 3.7 [3.1–4.9] <0.001 5.1 [4.4–6.2] 4.8 [4.2–5.6] <0.001 5.8 [3.5–7.4] 4.7 [2.1–6.1] <0.001 3.5 [2.9–4.9] 3.2 [2.8–3.8] <0.001

Unless indicated otherwise, data are given as the mean±SD, median [interquartile range], or n (%). E-CR, early cardiac rehabilitation. Other abbreviations as in Table 1.

In this study included patients were categorized into 2 groups (E-CR and non-E-CR) by the median number of days after open surgery when CR was started. Analysis of the data revealed that CR was started a median of 1 day (IQR 1–3 days) after open surgery, and so E-CR in this study was defined as CR starting within 1 day after surgery.

Of all patients who participated in CR after surgery, E-CR was performed in 52.1% (22,300/42,772) of patients who had undergone CABG, 56.9% (27,033/47,490) of those who had undergone valve surgery, 47.4% (19,085/40,225) of those who had undergone aortic surgery, and 54.1% (842/1,557) of those who had undergone other cardiovascular surgery (Figure 2).

Figure 2.

Timing of postoperative cardiac rehabilitation in patients undergoing coronary artery bypass grafting (CABG), valve surgery, aortic surgery or other cardiovascular surgery.

In-hospital death rates were significantly lower in the E-CR than non-E-CR group for all surgical procedures (1.5% vs. 3.4%, respectively, for CABG; 1.5% vs. 3.4% respectively, for valve surgery; 2.1% vs. 4.5%, respectively, for aortic surgery; and 1.4% vs. 4.1%, respectively, for other cardiovascular surgery). The BIS at discharge, which was examined for all patients and for patients who survived, was significantly higher in the E-CR than non-E-CR group for all surgical procedures. The length of hospital stay was shorter and hospitalization costs were lower in the E-CR than non-E-CR group for all surgical procedures.

Outcomes for the E-CR and Non-E-CR Groups by Type of Surgery (PSM) (Tables 35)

Table 3. PSM (CABG and Valve Surgery)
  CABG Valve surgery
Before PSM After PSM Before PSM After PSM
Early CR P value |Std diff| Early CR P value |Std diff| Early CR P value |Std diff| Early CR P value |Std diff|
No Yes No Yes No Yes No Yes
No. patients 20,472 22,300     17,550 17,550     20,457 27,033     19,349 19,349    
Age (years) 71 [64–77] 71 [64–77] 0.48 0.011 71 [64–77] 70 [63–77] <0.001 0.045 72 [64–78] 72 [65–78] 0.17 0.02 72 [64–78] 71 [63–78] <0.001 0.065
Female sex 5,017 (24.5) 5,067 (22.7) <0.001 0.042 4,145 (23.6) 4,585 (26.1) <0.001 0.058 9,325 (45.6) 12,248 (45.3) 0.55 0.006 8,855 (45.8) 9,272 (47.9) <0.001 0.043
BMI (kg/m2)
 <18.5 1,149 (5.6) 1,131 (5.1) 0.014 0.022 933 (5.3) 960 (5.5) 0.93 0.003 2,361 (11.5) 2,916 (10.8) 0.034 0.035 2,165 (11.2) 2,384 (12.3) <0.001 0.039
 18.5–24.9 12,650 (61.8) 13,800 (61.9)     10,786 (61.5) 10,779 (61.4)     13,260 (64.8) 17,565 (65.0)     12,573 (65.0) 12,661 (65.4)    
 25.0–29.9 5,576 (27.2) 6,250 (28.0)     4,881 (27.8) 4,871 (27.8)     4,079 (19.9) 5,570 (20.6)     3,897 (20.1) 3,653 (18.9)    
 ≥30.0 1,097 (5.4) 1,119 (5.0)     950 (5.4) 940 (5.4)     757 (3.7) 982 (3.6)     714 (3.7) 651 (3.4)    
CCI 2 (1, 3) 2 (1, 3) <0.001 0.105 2 (1, 3) 2 (1, 3) <0.001 0.052 1 (1, 2) 1 (1, 2) <0.001 0.118 1 (1, 2) 1 (1, 2) <0.001 0.01
BIS at admission
 ≤90 1,974 (9.6) 1,838 (8.2) <0.001 0.268 1,702 (9.7) 1,549 (8.8) 0.012 0.017 1,993 (9.7) 1,967 (7.3) <0.001 0.143 1,806 (9.3) 1,503 (7.8) <0.001 0.009
 >90 14,514 (70.9) 18,288 (82.0)     13,753 (78.4) 13,828 (78.8)     16,781 (82.0) 23,880 (88.3)     16,375 (84.6) 16,674 (86.2)    
 Missing 3,984 (19.5) 2,174 (9.7)     2,095 (11.9) 2,173 (12.4)     1,683 (8.2) 1,186 (4.4)     1,168 (6.0) 1,172 (6.1)    
Emergency admission (%) 6,932 (33.9) 4,367 (19.6) <0.001 0.327 4,250 (24.2) 4,366 (24.9) 0.15 0.015 3,134 (15.3) 2,205 (8.2) <0.001 0.224 2,207 (11.4) 2,204 (11.4) 0.96 0
CV risk factors
 Heart failure 8,176 (39.9) 7,578 (34.0) <0.001 0.124 6,515 (37.1) 7,168 (40.8) <0.001 0.076 11,103 (54.3) 13,631 (50.4) <0.001 0.077 10,291 (53.2) 11,713 (60.5) <0.001 0.149
 Aortic stenosis 3,352 (16.4) 3,567 (16.0) 0.29 0.01 2,970 (16.9) 3,261 (18.6) <0.001 0.043 12,110 (59.2) 16,371 (60.6) 0.003 0.028 11,534 (59.6) 10,722 (55.4) <0.001 0.085
 Endocarditis 74 (0.4) 69 (0.3) 0.35 0.009 61 (0.3) 55 (0.3) 0.58 0.006 874 (4.3) 677 (2.5) <0.001 0.098 638 (3.3) 673 (3.5) 0.45 0.01
Comorbidities (%)
 CKD or HD 3,836 (18.7) 3,202 (14.4) <0.001 0.118 3,021 (17.2) 3,197 (18.2) 0.014 0.026 3,038 (14.9) 2,813 (10.4) <0.001 0.134 2,644 (13.7) 2,813 (14.5) 0.014 0.025
 CVD 462 (2.3) 528 (2.4) 0.45 0.007 422 (2.4) 430 (2.4) 0.78 0.003 510 (2.5) 569 (2.1) 0.005 0.026 461 (2.4) 515 (2.7) 0.080 0.018
 PAD 1,158 (5.7) 1,485 (6.7) <0.001 0.042 1,083 (6.2) 916 (5.2) <0.001 0.041 474 (2.3) 743 (2.7) 0.003 0.027 460 (2.4) 378 (2.0) 0.004 0.029
 COPD 397 (1.9) 511 (2.3) 0.012 0.024 369 (2.1) 302 (1.7) 0.009 0.028 403 (2.0) 607 (2.2) 0.039 0.019 389 (2.0) 301 (1.6) <0.001 0.034
Diabetes 6,881 (33.6) 7,777 (34.9) 0.006 0.027 6,012 (34.3) 5,521 (31.4) <0.001 0.024 3,177 (15.5) 3,945 (14.6) 0.005 0.026 2,930 (15.1) 3,101 (16.0) 0.017 0.024
Medications (%)
 HG agents 6,881 (33.6) 7,777 (34.9) 0.006 0.027 6,012 (34.3) 5,521 (31.4) <0.001 0.024 3,177 (15.5) 3,945 (14.6) 0.005 0.026 2,930 (15.1) 3,101 (16.0) 0.017 0.024
 Digoxin 499 (2.4) 536 (2.4) 0.82 0.002 444 (2.5) 458 (2.6) 0.38 0.009 1,222 (6.0) 1,559 (5.8) 0.34 0.009 1,163 (6.0) 1,302 (6.7) 0.004 0.029
 Catecholamine 1,313 (6.4) 629 (2.8) <0.001 0.172 677 (3.9) 628 (3.6) 0.17 0.015 1,088 (5.3) 648 (2.4) <0.001 0.152 691 (3.6) 647 (3.3) 0.42 0.008
Device use before OP (%)
 IABP 1,762 (8.6) 760 (3.4) <0.001 0.22 821 (4.7) 759 (4.3) 0.32 0.011 350 (1.7) 106 (0.4) <0.001 0.13 118 (0.6) 105 (0.5) 0.38 0.009
 ECMO 33 (0.2) 5 (<1) <0.001 0.046 6 (<1) 4 (<1) 0.53 0.007 34 (0.2) 5 (<1) <0.001 0.049 9 (<1) 54 (<1) 0.017 0.014

Unless indicated otherwise, data are given as n (%) or the median [interquartile range]. CR, cardiac rehabilitation; OP, operation; PSM, propensity score matching. Other abbreviations as in Table 1.

Table 4. PSM (Aortic Surgery and Other CV Surgery)
  Aortic surgery Other
Before PSM After PSM Before PSM After PSM
Early CR P value |Std diff| Early CR P value |Std diff| Early CR P value |Std diff| Early CR P value |Std diff|
No Yes No Yes No Yes No Yes
No. patients 21,140 19,085     15,420 15,420     715 842     641 641    
Age (years) 70 [63–77] 71 [64–77] <0.001 0.07 71 [64–77] 69 [62–76] <0.001 0.09 68 [57–75] 69 [61–76] 0.007 0.149 68 [58–75] 67 [58–74] 0.35 0.041
Female sex 6,691 (31.7) 5,012 (26.3) <0.001 0.119 4,309 (27.9) 4,625 (30.0) <0.001 0.045 394 (55.1) 470 (55.8) 0.78 0.014 361 (56.3) 342 (53.4) 0.29 0.06
BMI (kg/m2)
 <18.5 1,652 (7.8) 1,336 (7.0) <0.001 0.011 1,140 (7.4) 1,028 (6.7) <0.001 0.066 72 (10.1) 77 (9.1) 0.080 0.085 62 (9.7) 49 (7.6) 0.15 0.01
 18.5–24.9 12,865 (60.9) 11,908 (62.4)     9,494 (61.6) 9,175 (59.5)     444 (62.1) 563 (66.9)     411 (64.1) 422 (65.8)    
 25.0–29.9 5,493 (26.0) 5,058 (26.5)     4,067 (26.4) 4,447 (28.8)     160 (22.4) 175 (20.8)     132 (20.6) 147 (22.9)    
 ≥30.0 1,130 (5.3) 783 (4.1)     719 (4.7) 770 (5.0)     39 (5.5) 27 (3.2)     36 (5.6) 23 (3.6)    
CCI 2 (1, 2) 2 (1, 2) <0.001 0.047 2 (1, 2) 2 (1, 2) 0.017 0.027 1 (1, 2) 1 (1, 2) 0.60 0.012 1 (1, 2) 1 (1, 2) 0.25 0.028
BIS at admission
 ≤90 1,392 (6.6) 1,015 (5.3) <0.001 0.376 958 (6.2) 814 (5.3) 0.002 0.011 90 (12.6) 69 (8.2) <0.001 0.143 1,806 (9.3) 1,503 (7.8) <0.001 0.009
 >90 13,073 (61.8) 15,101 (79.1)     11,549 (74.9) 11,645 (75.5)     520 (72.7) 694 (82.4)     16,375 (84.6) 1,667 (86.2)    
 Missing 6,675 (31.6) 2,969 (15.6)     2,913 (18.9) 2,961 (19.2)     105 (14.7) 79 (9.4)     1,168 (6.0) 1,172 (6.1)    
Emergency admission (%) 9,819 (46.4) 4,319 (22.6) <0.001 0.517 4,309 (27.9) 4,319 (28.0) 0.90 0.001 251 (35.1) 200 (23.8) <0.001 0.251 180 (28.1) 197 (30.7) 0.30 0.058
CV risk factors
 Heart failure 5,558 (26.3) 4,216 (22.1) <0.001 0.098 3,814 (24.7) 4,216 (27.3) <0.001 0.059 295 (41.3) 307 (36.5) 0.053 0.098 250 (39.0) 271 (42.3) 0.23 0.067
 Aortic stenosis 4,345 (20.6) 4,378 (22.9) <0.001 0.058 3,506 (22.7) 3,321 (21.5) 0.0011 0.029 27 (3.8) 39 (4.6) 0.40 0.043 26 (4.1) 21 (3.3) 0.46 0.041
 Endocarditis 104 (0.5) 87 (0.5) 0.60 0.005 71 (0.5) 67 (0.4) 0.73 0.004 8 (1.1) 9 (1.1) 0.92 0.005 7 (1.1) 6 (0.9) 0.78 0.016
Comorbidities (%)
 CKD or HD 1,930 (9.1) 1,260 (6.6) <0.001 0.094 1,216 (7.9) 1,260 (8.2) 0.36 0.01 42 (5.9) 58 (6.9) 0.42 0.041 38 (5.9) 35 (5.4) 0.72 0.02
 CVD 594 (2.8) 497 (2.6) 0.20 0.013 415 (2.7) 475 (3.1) 0.041 0.023 33 (4.6) 46 (5.5) 0.45 0.039 33 (5.1) 23 (3.6) 0.17 0.076
 PAD 737 (3.5) 901 (4.7) <0.001 0.062 663 (4.3) 482 (3.1) <0.001 0.062 11 (1.5) 30 (3.6) 0.013 0.129 10 (1.6) 10 (1.6) 1.00 0
 COPD 713 (3.4) 782 (4.1) <0.001 0.038 590 (3.8) 528 (3.4) 0.059 0.022 18 (2.5) 20 (2.4) 0.86 0.009 18 (2.8) 15 (2.3) 0.60 0.029
 Diabetes mellitus 1,760 (8.3) 1,657 (8.7) 0.20 0.013 1,344 (8.7) 1,572 (10.2) <0.001 0.021 98 (13.7) 116 (13.8) 0.97 0.002 90 (14.0) 91 (14.2) 0.94 0.021
Medications (%)
 HG agents 1,760 (8.3) 1,657 (8.7) 0.20 0.013 1,344 (8.7) 1,572 (10.2) <0.001 0.021 98 (13.7) 116 (13.8) 0.97 0.002 90 (14.0) 91 (14.2) 0.94 0.021
 Digoxin 431 (2.0) 330 (1.7) 0.023 0.023 303 (2.0) 330 (2.1) 0.28 0.012 31 (4.3) 28 (3.3) 0.30 0.053 25 (3.9) 25 (3.9) 1.00 0
 Catecholamine 335 (1.6) 143 (0.7) <0.001 0.078 151 (1.0) 143 (0.9) 0.64 0.005 18 (2.5) 14 (1.7) 0.24 0.06 11 (1.7) 12 (1.9) 0.83 0.012
Device use before OP (%)
 IABP 16 (0.1) 4 (<1) 0.014 0.025 4 (<1) 4 (<1) 1.00 0 2 (0.3) 0 (0.0) 0.12 0.075 0 (0.0) 0 (0.0)
 ECMO 2 (<1) 0 (0.0) 0.18 0.014 0 (0.0) 0 (0.0) 7 (1.0) 3 (0.4) 0.13 0.076 4 (0.6) 3 (0.5) 0.70 0.021

Unless indicated otherwise, data are given as n (%) or the median [interquartile range]. Abbreviations as in Tables 1,3.

Table 5. Main Results in Patients Undergoing CABG, Valve Surgery, Aortic Surgery or Other CV Surgery
  CABG Valve surgery Aortic surgery Other
OR or β (95% CI) P value OR or β (95% CI) P value OR or β (95% CI) P value OR or β (95% CI) P value
Propensity score matching
 In-hospital death (OR) 0.37 (0.31, 0.43) <0.001 0.41 (0.35, 0.48) <0.001 0.46 (0.39, 0.53) <0.001 0.26 (0.11, 0.63) <0.001
 BIS at discharge (β) 3.9 (3.4, 4.3) <0.001 3.9 (3.5, 4.4) <0.001 4.3 (3.7, 4.8) <0.001 6.1 (3.7, 8.5) <0.001
 Length of hospital stay (β) −3.8 (−4.2, −3.4) <0.001 −4.4 (−4.8, −4.0) <0.001 −4.8 (−5.2, −4.4) <0.001 −4.4 (−6.2, −2.6) <0.001
 Hospitalization costs (β) −0.72 (−0.77, −0.67) <0.001 −0.68 (−0.72, −0.63) <0.001 −0.93 (−1.00, −0.86) <0.001 −0.60 (−0.79, −0.42) <0.001
Mixed-model regression analysis
 In-hospital death (OR) 0.42 (0.36, 0.49) <0.001 0.45 (0.38, 0.52) <0.001 0.48 (0.42, 0.55) <0.001 0.32 (0.15, 0.70) <0.001
 BIS at discharge (β)
  All 3.3 (2.9, 3.7) <0.001 3.2 (2.8, 3.6) <0.001 3.6 (3.1, 4.0) <0.001 5.0 (2.9, 7.1) <0.001
  Discharged alive 1.3 (1.0, 1.6) <0.001 1.3 (1.1, 1.6) <0.001 1.6 (1.3, 1.9) <0.001 2.7 (1.2, 4.2) <0.001
 Length of hospital stay (β) −3.5 (−3.9, −3.2) <0.001 −3.8 (−4.1, −3.4) <0.001 −4.3 (−4.7, −3.9) <0.001 −3.9 (−5.5, −2.3) <0.001
 Hospitalization costs (β) −0.68 (−0.72, −0.64) <0.001 −0.57 (−0.61, −0.53) <0.001 −0.83 (−0.88, −0.77) <0.001 −0.53 (−0.70, −0.36) <0.001
Inverse probability of treatment weighting
 In-hospital death (OR) 0.65 (0.56, 0.75) <0.001 0.62 (0.54, 0.70) <0.001 0.68 (0.60, 0.77) <0.001 0.40 (0.20, 0.80) <0.001
 BIS at discharge (β) 2.0 (1.6, 2.4) <0.001 2.1 (1.8, 2.4) <0.001 2.5 (2.1, 3.0) <0.001 4.5 (2.5, 6.6) <0.001
 Length of hospital stay (β) −3.1 (−3.4, −2.7) <0.001 −3.1 (−3.5, −2.8) <0.001 −4.3 (−4.7, −3.9) <0.001 −5.0 (−6.6, −3.4) <0.001
 Hospitalization costs (β) −0.47 (−0.50, −0.43) <0.001 −0.42 (−0.46, −0.39) <0.001 −0.76 (−0.81, −0.70) <0.001 −0.67 (−0.84, −0.50) <0.001

CI, confidence interval; OR, odds ratio. Other abbreviations as in Table 1.

Adjusted odds ratios for in-hospital death were 0.37 (95% confidence interval [CI] 0.31–0.43) for CABG, 0.41 (95% CI 0.35–0.48) for valve surgery, 0.46 (95% CI 0.39–0.53) for aortic surgery, and 0.26 (95% CI 0.11–0.63) for other types of cardiovascular surgery. In-hospital mortality was lower in the E-CR than non-E-CR group. The BIS at discharge was higher in the E-CR than non-E-CR group. The regression coefficient on the logit scale (β) for BIS at discharge was 3.9 (95% CI 3.4–4.3) for CABG, 3.9 (95% CI 3.5–4.4) for valve surgery, 4.3 (95% CI 3.7–4.8) for aortic surgery, and 6.1 (95% CI 3.7–8.5) for other types of cardiovascular surgery. Of note, the length of hospital stay was shorter in the E-CR than non-E-CR group, with β coefficients of −3.8 (95% CI −4.2, −3.4) for CABG, −4.4 (95% CI −4.8, −4.0) for valve surgery, –4.8 (95% CI −5.2, −4.4) for aortic surgery, and −4.4 (95% CI −6.2, −2.6) for other types of cardiovascular surgery. Hospitalization costs were lower for patients in the E-CR than non-E-CR group.

Sensitivity analysis was conducted excluding patients who received postoperative mechanical support. All endpoints were significantly better for patients in the E-CR than non-E-CR group (all P<0.001), with no difference in results when patients receiving postoperative mechanical support were included (Supplementary Table).

Discussion

Based on the results of the present study, of all patients who participated in CR after surgery, E-CR was performed 52.1%, 56.9%. 47.4%, and 54.1% of those who underwent CABG, valve surgery, aortic surgery, and other cardiovascular surgery, respectively. Furthermore, after PSM, the E-CR group showed superior results in terms of the in-hospital death rate, BIS at discharge, length of hospital stay, and hospitalization costs. These results were demonstrated consistently for all surgical procedures, suggesting the need to further recommend the introduction of E-CR in the future. In the present study, patients were categorized into 2 groups using the median number of postoperative days when CR was started. CR after open surgery was started a median of 1 day after surgery, so E-CR in the present study was defined as CR starting within 1 day after surgery. Currently, there is no clear definition of E-CR in terms of days postoperatively. In previous reports, E-CR has been defined as starting from 1 to 3 days after surgery,2022 and the meta-analysis by Kanejima et al reported that CR after surgery was started by postoperative Day 1 or 2 in all studies.21 Based on the results of the present study, there is no problem in terms of safety, even if CR is performed within 1 day of surgery, and the efficacy of CR is clear.

The results of the present study are in line with previous findings regarding CR. For example, Ohbe et al reported on the implementation of E-CR within 3 days after CABG in 30,568 patients using DPC data.20 In that study, 43% of patients underwent E-CR, and the BIS at discharge was significantly higher in those who had undertaken E-CR compared with normal CR, and in-hospital mortality, total hospitalization costs, length of ICU stay, and hospital stay were significantly lower in the E-CR group.20 Moreover, in a meta-analysis, Kanejima et al reported that E-CR intervention within 2 days after cardiac surgery improved 6-min walking distance by 54 m.21

A Japanese multicenter study examining the efficacy of outpatient CR after CABG (the J-REHAB CABG study) in 346 patients who were followed up for 3.5 years reported that the rates of a major adverse cardiac events, all-cause death, and rehospitalization for a cardiac event were significantly lower in the active than non-active CR group.23 However, although many studies have reported on CR after CABG, few studies have been conducted into the effects of CR on outcomes for other types of cardiac surgery. In the US, a study of 16,935 patients who had undergone valve surgery reported that the percentage of patients registered for CR was low, at 43.2%.24 Despite this low percentage, those who participated in CR had reduced hospitalization and mortality rates within 1 year after discharge, suggesting that CR is important not only after CABG, but also after valve surgery.24 The results of the present study demonstrate the efficacy of E-CR not only for CABG, but also for valve and aortic surgery.

Regarding E-CR and age, Itagaki et al conducted a multicenter retrospective study involving 8 facilities, in which 523 older patients who had undergone cardiac surgery and started CR 1 day postoperatively were examined.22 In that study, walking speed decreased in 17% of patients. The authors concluded that further interventional research on rehabilitation before and after cardiac surgery for older patients may help overcome the decline in physical functioning.22 The mean age of participants in the present study was 70 years; hence, it is possible that the importance of E-CR for older adults can be demonstrated by later conducting subanalyses of the results for older participants. In addition, it may be necessary to conduct a prospective study in which cardiopulmonary exercise testing (i.e., 6-min walking distance and muscle strength assessment) is be performed. Because exercise tolerance and lower extremity muscle strength decrease after 10 days of bed rest in healthy older adults,25 introducing E-CR is all the more necessary the older the patient is. The results of numerous studies have shown that CR in elderly patients with heart diseases can improve exercise tolerance and QOL,26,27 and there is an urgent need to conduct studies in the setting of cardiac surgery, which is performed in many older adults.

There is less evidence for CR in terms of aortic than cardiac procedures. In the present study, the results of E-CR after aortic surgery were comparable to those after CABG and valve surgery. However, the rate of E-CR after aortic surgery was 46.2%, which was lower than after CABG or valve surgery (51.4% and 56.0%, respectively). Possible reasons for this include: (1) the higher frequency of postoperative complications (cerebrovascular disease, respiratory complications, acute renal failure, paraplegia) following aortic surgery than after CABG or valve surgery; (2) the higher number of patients in which cranial nerve deficit is observed preoperatively, as suggested by results of the Japan Coma Scale at admission, for aortic compared with CABG or valve surgery; and (3) more aortic surgeries are performed as emergency procedures. However, aortic disease is associated with severe arteriosclerosis and, due to the presence of residual lesions, the worsening of chronic conditions is a concern; therefore, there is an increasing need to perform CR under proper guidance. Although not postoperatively examined, we have demonstrated that E-CR for Type B acute aortic dissection at our facility led to a decrease in respiratory complications and delirium rates, thereby clarifying the efficacy of E-CR.28

In the present study, E-CR after cardiac surgery showed excellent outcomes in terms of in-hospital death, BIS at discharge, length of hospital stay, and hospitalization cost for all cardiac surgical procedures. In the future, we plan to perform subanalyses focusing on older adults and patients who have undergone aortic surgery, because E-CR is considered more important in these patient populations, to further clarify the efficacy of E-CR and potential problems that need to be addressed.

Study Limitations

Because the present study examined information obtained from a database, it has some limitations. First, the detailed content of CR was unclear. Second, this study was based on DPC data, and detailed postoperative data (e.g., postoperative artificial respiration support time, dose of catecholamine, amount of bleeding) could not be evaluated. Third, it is possible that patients who did not take part in E-CR included those who died in an early stage or those for whom CR was not feasible due to postoperative complications. Fourth, the reasons why E-CR could not be performed were unclear. Finally, although E-CR within 1 day postoperatively was effective in the present study, it is not clear how many days postoperatively CR should be started; this will be investigated in the future. Nevertheless, we aim to continue this line of investigation because we consider that a further prospective study will more clearly demonstrate the efficacy of E-CR.

Conclusions

This study examined the introduction rate of E-CR and its outcomes by procedure for 220,122 patients who underwent major cardiac and thoracic vascular surgery and registered in the DPC between April 2012 and March 2018. Of all patients who participated in CR after surgery, E-CR was performed in 52.1%, 56.9%, 47.4%, and 54.1% of those who underwent CABG, valve surgery, aortic surgery, and other cardiovascular surgery, respectively. The E-CR group showed superior outcomes in terms of in-hospital deaths, BIS at discharge, length of hospital stay, and hospitalization costs compared with the non-E-CR group. These results were demonstrated for all surgical procedures, suggesting the need to further recommend the introduction of E-CR in the future. This study is the first report of E-CR after cardiac surgery using big data, which is very significant.

Acknowledgments

This was supported by the Japanese Association of Cardiac Rehabilitation.

Sources of Funding

This study was supported by the Japanese Association of Cardiac Rehabilitation.

Disclosures

A.S. has received honoraria from Daiichi Sankyo Co., Ltd., and Novartis Pharma K.K. S. Makita has received honoraria from Daiichi Sankyo Co., Ltd., Otsuka Pharmaceutical Co., Ltd., and Fukuda Denshi Co., Ltd.

T.S., S. Miura, and T.Y. are members of Circulation Reports’ Editorial Team. The remaining authors have no conflicts of interest to disclose.

Author Contributions

All authors contributed to the study conception, design, and operations. A.S. wrote the draft of the article. Data analyses and interpretations were performed by A.S., T.S., K.K., and N.F., whereas K.K., Y.S., M.N., and Y.I. were responsible for the statistical analyses. All authors reviewed drafts of the manuscript. All authors read and approved the final manuscript.

IRB Information

This study was approved by the Ethics Committee of the Japanese Red Cross Toyota College of Nursing (Reference no. 2006).

Supplementary Files

Please find supplementary file(s);

http://dx.doi.org/10.1253/circrep.CR-22-0088

References
 
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