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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: J Heart Lung Transplant. 2017 May 23;37(4):467–476. doi: 10.1016/j.healun.2017.05.017

Cardiac rehabilitation and readmissions after heart transplantation

Justin M Bachmann a, Ashish S Shah b, Meredith S Duncan a, Robert A Greevy Jr c, Amy J Graves, SM d, Shenghua Ni e, Henry H Ooi a, Thomas J Wang a, Randal J Thomas f, Mary A Whooley g, Matthew S Freiberg a
PMCID: PMC5947994  NIHMSID: NIHMS878918  PMID: 28619383

Abstract

Background

Exercise-based cardiac rehabilitation (CR) is under-utilized. CR is indicated after heart transplantation, but there are no data regarding CR participation in transplant recipients. We characterized current CR utilization among heart transplant recipients in the United States and the association of CR with 1-year readmissions using the 2013–2014 Medicare files.

Methods

The study population included Medicare beneficiaries enrolled due to disability (patients on the transplant list are eligible for disability benefits under Medicare regulations) or age ≥65 years. We identified heart transplant patients by diagnosis codes and cumulative CR sessions occurring within 1 year after the transplant hospitalization.

Results

There were 2,531 heart transplant patients in the USA in 2013, of whom 595 (24%) received Medicare coverage and were included in the study. CR utilization was low, with 326 patients (55%) participating in CR programs. The Midwest had the highest proportion of transplant recipients initiating CR (68%, p = 0.001). Patients initiating CR attended a mean of 26.7 (standard deviation 13.3) sessions, less than the generally prescribed program of 36 sessions. Transplant recipients age 35 to 49 years were less likely to initiate CR (odds ratio [OR] 0.39, 95% confidence interval [CI] 0.23 to 0.66, < 0.001) and attended 8.2 fewer sessions (95% CI 3.5 to 12.9, p < 0.001) than patients age ≥ 65 years. CR participation was associated with a 29% lower 1-year readmission risk (95% CI 13% to 42%, p = 0.001).

Conclusions

Only half of cardiac transplant recipients participate in CR, and those who do have a lower 1-year readmission risk. These data invite further study on barriers to CR in this population.

Keywords: cardiac rehabilitation, cardiac transplantation, heart transplantation, rehabilitation, readmissions, health services research


Cardiac rehabilitation (CR), a program of prescribed exercise and risk factor modification, is recommended in patients undergoing heart transplantation as well as those with in ischemic heart disease and systolic heart failure.1,2 CR is associated with an approximate 25% decrease in mortality in patients with ischemic heart disease.3 Despite its known benefits, < 20% of these patients participate in CR programs.1,39 There are, however, no data on CR utilization after heart transplantation.

CR is clearly beneficial for heart transplant recipients.1012 Exercise training after heart transplantation improves maximal oxygen consumption,1315 peak heart rate,16 ventilatory capacity,14 autonomic function17 and quality of life.18,19 As such, CR programs offer a promising modality to improve outcomes during the months after transplantation.

Patients on the waiting list for heart transplantation in the USA are eligible for Medicare disability benefits upon reaching United Network of Organ Transplantation (UNOS) Status IA or IB.20 Therefore, we evaluated CR utilization after heart transplantation in the USA using Medicare data. We also characterized the association of CR with 1-year readmissions among heart transplant recipients. We hypothesized that CR is associated with a decreased risk of readmission in these patients.

Methods

Data source

We obtained data regarding CR utilization in heart transplant recipients in the USA from 2013–2014 and 2008–2009 Medicare 100% Limited Data Set (LDS) files from the Centers for Medicare & Medicaid Services (CMS). These files contain all inpatient and institutional outpatient claims for fee-for-service Medicare beneficiaries. For purposes of evaluating the generalizability of transplant recipients receiving Medicare coverage in 2013, we also obtained demographic characteristics of all heart transplant patients during that time period from the Organ Procurement and Transplantation Network national data report.21 The institutional review board of Vanderbilt University Medical Center approved the study, which was conducted under the terms of a data use agreement with CMS.

Patient population

The study population included Medicare beneficiaries enrolled in 2013 due to disability or age ≥ 65 years who were residing in the USA and who had uninterrupted fee-for-service coverage until their death or for 1 year after discharge. We used the same criteria for the 2008 cohort. Inclusion in the study was based on discharge diagnosis code (International Classification of Diseases, 9th Revision [ICD-9], Code 37.51) or procedure code (Current Procedure Terminology [CPT], Code 33945) for heart transplantation.

Outcomes

Participation in CR programs, defined as a binary variable (yes/no), was the primary outcome. We searched the Medicare outpatient LDS files for CR claims (CPT Codes 93797, 93798, G0422, G0423 or S9472) occurring within 1 year after the transplant hospitalization discharge date. Our secondary outcome examined CR as a continuous variable (number of sessions attended).

Additional secondary outcomes included: (1) the number of days between discharge from the transplant hospitalization and the first CR session, obtained from the Medicare files; and (2) the number of readmissions that occurred in the 1-year period after patients underwent transplantation, also obtained from the Medicare files. We specifically queried readmissions, not observation stays.

Other variables

We obtained demographic characteristics, including age, gender, race (black, white, other) and geographic census division (Midwest, Northeast, West and South), from the denominator file. We characterized the burden of comorbidities with Elixhauser comorbidity groups present during the index hospitalization, which were identified by ICD-9 codes as described previously.22

We determined whether patients had a ventricular assist device (VAD) before transplant by identifying ICD-9 (37.64) and CPT codes (33977, 33978, 33980) for VAD explantation during the transplant hospitalization. We also identified patients who were discharged to inpatient rehabilitation facilities (IRFs) or skilled nursing facilities (SNFs) after transplantation using the inpatient file. In addition, we determined whether the transplant hospital had a CR program from the American Hospital Association Annual Survey of Hospitals.23

Statistical analysis

Demographic and geographic characteristics of cardiac transplant recipients receiving Medicare coverage in 2013 were compared with all heart transplant patients using Pearson's chi-square tests. We used multivariable-adjusted logistic regression to evaluate the effect of individual covariates on CR initiation rates and linear regression to analyze predictors of the number of CR sessions attended. The Andersen–Gill model with a robust sandwich covariance estimate (also known as a proportional means model), a technique for the analysis of repeated events, was used to model the effect of participating in CR on 1-year readmission risk after adjusting for covariates.24,25 CR participation was used as a time-updated covariate such that all individuals in the sample were considered non-CR participants at baseline and remained so until beginning CR (Figure 1). For example, if an individual had no readmissions in the year after transplant and did not initiate CR until 3 months post-transplant, he or she would contribute 3 months of non-readmission time to the CR non-participant group and the remaining 9 months to the CR participant group. This approach, known as the Mantel–Byar method, was chosen to minimize immortal person-time bias.2628

Figure 1.

Figure 1

Person-time approach (Mantel–Byar method) to defining cardiac rehabilitation (CR) participation status in modeling the association of CR with readmissions. In CR participants, the time between hospital discharge and CR initiation (immortal person-time) is classified as CR non-participation until CR initiation and CR participation thereafter.

We used Pearson's chi-square tests to compare demographic and geographic characteristics of Medicare beneficiaries receiving heart transplants in the context of CR participation between 2008 and 2013. Comorbidities could not be directly compared between the 2008 and 2013 samples because the inpatient file version used in 2008 (Version I) has 10 fields for additional diagnoses, whereas the version used in 2013 (Version J) has 25 fields for additional diagnoses.

All analyses utilized SAS (version 9.4) and R (version 3.1.2) software.29,30

Results

Cohort derivation

According to the Organ Procurement and Transplantation Network, there were 2,531 heart transplants in 2013.21 A total of 696 (27%) of these patients received Medicare coverage. We excluded 61 patients who did not have uninterrupted fee-for-service Medicare coverage and 40 patients who died in the hospital or were participating in CR programs at the time of transplantation, resulting in a final sample size of 595 transplant recipients.

Comparison of all transplant recipients to those receiving Medicare

Compared with all transplant recipients in 2013 (N = 2,531), the cohort of transplant recipients with Medicare coverage (N = 595) was comprised of more patients age ≥65 years of age and fewer patients <35 years age, but with a similar proportion of patients 35 to 65 years of age (Table 1). There was a greater proportion of men (78% vs 70%, p < 0.001) in the Medicare cohort and a similar proportion of black transplant recipients. There was a slightly greater proportion of Medicare beneficiaries receiving transplants in the South as compared with all transplant patients (43% vs 37%, p = 0.02).

Table 1. Baseline Characteristics of Medicare Beneficiaries Receiving Heart Transplants in 2013 (N = 595).

Characteristic All transplants Transplants Receiving Medicare p-valuea Medicare CR non-participants Medicare CR participants p-valuea
Total 2,531 595 (24%) 269 (45%) 326 (55%) NA
Demographic
 Age group (years) <0.001 0.009
  <35 643 (25%) 34 (6%) 20 (7%) 14 (4%)
  35 to 49 435 (17%) 95 (16%) 55 (20%) 40 (12%)
  50 to 64 1,007 (40%) 227 (38%) 98 (36%) 129 (40%)
 ≥65 446 (18%) 239 (40%) 96 (36%) 143 (44%)
 Gender <0.001 0.86
  Female 770 (30%) 133 (22%) 61 (23%) 72 (22%)
  Male 1,761 (70%) 462 (78%) 208 (77%) 254 (78%)
 Race <0.001 0.37
  White 1,628 (64%) 424 (71%) 184 (68%) 240 (74%)
  Black 559 (22%) 124 (21%) 62 (23%) 62 (19%)
  Other 344 (14%) 47 (8%) 23 (9%) 24 (7%)
 Census region 0.02 0.005
  Midwest 569 (22%) 118 (20%) 38 (14%) 80 (25%)
  Northeast 500 (20%) 121 (20%) 65 (24%) 56 (17%)
  South 928 (37%) 253 (43%) 122 (45%) 131 (40%)
  West 534 (20%) 103 (17%) 44 (16%) 59 (18%)
CR program at transplant hospital NA 584 (98%) NA 262 (97%) 322 (99%) 0.24
Clinical
 Previous VAD NA 237 (40%) NA 117 (43%) 120 (37%) 0.10
 Discharge to IRF or SNF NA 102 (17%) NA 58 (22%) 44 (14%) 0.009
 Chronic pulmonary disease NA 94 (16%) NA 38 (14%) 56 (17%) 0.31
 Coagulopathy NA 257 (43%) NA 116 (43%) 141 (43%) 0.97
 Deficiency anemia NA 137 (23%) NA 60 (22%) 77 (24%) 0.70
 Depression NA 83 (14%) NA 33 (12%) 50 (15%) 0.28
 Diabetes NA 236 (40%) NA 113 (42%) 123 (38%) 0.29
 Fluid and electrolyte disorders NA 363 (61%) NA 170 (63%) 193 (59%) 0.32
 Hypertension NA 312 (52%) NA 134 (50%) 178 (55%) 0.24
 Obesity NA 56 (9%) NA 27 (10%) 29 (9%) 0.64
 Peripheral vascular disease NA 39 (7%) NA 20 (7%) 19 (6%) 0.43
 Renal failure NA 252 (42%) NA 123 (46%) 129 (40%) 0.13
 Weight loss NA 81 (14%) NA 38 (14%) 43 (13%) 0.74

CR, cardiac rehabilitation; IRF, inpatient rehabilitation facility; NA, not available; SD, standard deviation; SNF, skilled nursing facility; VAD, ventricular assist device.

a

All p-values obtained using Pearson's chi-square test.

Cohort characteristics

CR utilization among Medicare beneficiaries receiving heart transplants was low, with 55% of eligible patients initiating CR (Table 1). Almost all patients in the study (98%) were transplanted at hospitals that reported having CR programs. The average age of the cohort was 58%, and 22% of transplant recipients were female. The majority of patients undergoing heart transplantation were white (71%), whereas 21% were black and 8% were categorized as another ethnicity, including Asian and Hispanic. Before transplantation, 40% of patients had ventricular assist devices (VADs). After transplantation, 17% of patients were discharged to inpatient rehabilitation facilities (IRFs) or skilled nursing facilities (SNFs).

CR utilization

CR initiation rates by demographic, geographic and clinical characteristics are displayed in Table 2. Patients in the Midwest census region had markedly higher odds of initiating CR (odds ratio [OR] 2.23, 95% confidence interval [CI] 1.37 to 3.63, p = 0.001) as compared with those in the South, after multivariable adjustment. The West census region was not significantly different from the South and there was a nonsignificant trend toward lower CR utilization in the Northeast. Younger transplant recipients were less likely to initiate CR than older patients (Table 2). Patients discharged to an IRF or SNF were also less likely to participate in CR (OR 0.58, 95% CI 0.36 to 0.94, p = 0.03). None of the comorbidities on admission, defined by Elixhauser comorbidity groups, were associated with the odds of attending CR.

Table 2. Predictors of Cardiac Rehabilitation Initiation Among Medicare Beneficiaries Receiving Heart Transplants in 2013 (N = 595).

Participation in a CR programa

Characteristic Proportion of patients initiating CR (%) OR 95% CI p-value
All 55%
Demographic
 Age group (years)
  <35 41% 0.36 0.16 to 0.79 0.01
  35 to 49 42% 0.39 0.23 to 0.66 o0.001
  50 to 64 57% 0.83 0.56 to 1.23 0.36
  ≤65 60% Referent
 Gender
  Female 54% 0.94 0.61 to 1.45 0.78
  Male 55% Referent
 Race
  Black 50% 0.94 0.60 to 1.47 0.78
  Other 51% 1.03 0.53 to 2.01 0.92
  White 57% Referent
 Census region
  Midwest 68% 2.23 1.37 to 3.63 0.001
  Northeast 46% 0.74 0.46 to 1.17 0.19
  West 57% 1.07 0.64 to 1.78 0.80
  South 52% Referent
Clinical
 Previous VAD 51% 0.79 0.55 to 1.12 0.18
 Discharge to IRF or SNF 43% 0.58 0.36 to 0.94 0.03
 Chronic pulmonary disease 60% 1.15 0.72 to 1.85 0.56
 Coagulopathy 55% 0.99 0.70 to 1.40 0.94
 Deficiency anemia 56% 1.05 0.70 to 1.59 0.81
 Depression 60% 1.30 0.78 to 2.15 0.31
 Diabetes 52% 0.83 0.57 to 1.19 0.30
 Fluid and electrolyte disorders 53% 0.82 0.57 to 1.17 0.27
 Hypertension 57% 1.29 0.90 to 1.84 0.16
 Obesity 52% 0.83 0.46 to 1.51 0.54
 Peripheral vascular disease 49% 0.69 0.35 to 1.40 0.30
 Renal failure 51% 0.76 0.53 to 1.10 0.14
 Weight loss 53% 1.10 0.65 to 1.84 0.73

CI, confidence interval; CR, cardiac rehabilitation; IRF, inpatient rehabilitation facility; OR, odds ratio; SNF, skilled nursing facility; VAD, ventricular assist device.

a

Adjusted for all listed variables.

Those patients who did initiate CR attended a mean of 26.7 ± 13.3 sessions, fewer than the generally prescribed program of 36 sessions (Table 3). Only 95 CR attendees (29%) participated in the full course of 36 sessions. Younger transplant patients attended far fewer sessions than older patients, with transplant recipients < 35 years old attending a mean of 16.0 ± 12.8 sessions as compared with 29.4 ± 12.1 sessions in those > 65 years old (p < 0.001). Women attended 4.3 (95% CI 0.7 to 7.9, p = 0.02) fewer sessions than men. Among CR participants, the average time between discharge and the first CR session was 71.0 (standard deviation 62.2) days, with a median of 54 (interquartile range 27 to 96) days.

Table 3. Predictors of Number of Sessions Attended Among Cardiac Rehabilitation Participants Receiving Heart Transplants and Medicare Coverage in 2013 (N = 326).

Number of CR sessions attendeda

Characteristic CR sessions among participants (mean ± SD) Coefficient 95% CI p-value
All 26.7 ± 13.3
Demographic
 Age group (years)
  <35 16.0 ± 12.8 −11.8 −19.0, –4.6 0.001
  35 to 49 21.2 ± 14.3 −8.2 −12.9, –3.5 o0.001
  50 to 64 26.5 ± 13.3 −2.4 −5.5, 0.8 0.15
  ≥65 29.4 ± 12.1 Referent
 Gender
  Female 22.9 ± 12.7 −4.3 −7.9, –0.7 0.02
  Male 27.7 ± 13.3 Referent
 Race
  Black 22.0 ± 13.2 −3.6 −7.4, 0.3 0.07
  Other 24.3 ± 12.5 −1.1 −6.8, 4.6 0.70
  White 28.1 ± 13.1 Referent
 Census region
  Midwest 28.3 ± 14.4 3.5 −0.4, 7.4 0.07
  Northeast 27.2 ± 12.0 0.9 −3.3, 5.1 0.67
  West 26.9 ± 12.1 0.02 −4.2, 4.2 0.99
  South 25.4 ± 13.7 Referent
Clinical
 Previous VAD 24.0 ± 13.8 −4.5 −7.5, –1.6 0.003
 Discharge to IRF or SNF 29.2 ± 10.8 3.3 −1.1, 7.7 0.14
 Chronic pulmonary disease 26.3 ± 12.1 −0.2 −4.0, 3.6 0.92
 Coagulopathy 25.8 ± 12.4 −2.0 −4.9, 0.9 0.17
 Deficiency anemia 28.1 ± 10.9 1.6 −1.8, 5.1 0.36
 Depression 27.1 ± 13.0 0.2 −3.8, 4.2 0.91
 Diabetes 26.6 ± 13.4 −0.8 −3.9, 2.3 0.60
 Fluid and electrolyte disorders 26.7 ± 13.5 −1.3 −4.3, 1.8 0.41
 Hypertension 26.9 ± 13.2 0.03 −2.9, 3.0 0.99
 Obesity 28.4 ± 13.6 2.4 −2.7, 7.5 0.35
 Peripheral vascular disease 27.8 ± 10.0 −0.2 −6.4, 5.9 0.94
 Renal failure 27.6 ± 12.4 0.9 −2.1, 3.9 0.57
 Weight loss 28.2 ± 14.9 0.9 −3.6, 5.3 0.71

CI, confidence interval; CR, cardiac rehabilitation; SD, standard deviation; VAD, ventricular assist device; IRF, inpatient rehabilitation facility; SNF, skilled nursing facility.

a

Adjusted for all listed variables.

CR and readmissions

Readmissions within 1 year after transplantation were cumulated among Medicare beneficiaries receiving heart transplants. There were 953 total readmissions within 1 year of transplant in the cohort, with 391 patients (66%) admitted at least once during this time. After multivariable adjustment, participation in a CR program was associated with a 29% (95% CI 13% to 42%, p = 0.001) decrease in 1-year readmissions (Table 4). Patients discharged to an IRF or SNF had a significantly increased risk of being readmitted within 1 year after transplant (HR 1.40, 95% CI 1.13 to 1.74, p = 0.002). Female transplant recipients had a higher risk of readmission compared with men (HR 1.32, 95% CI 1.06 to 1.64, p = 0.01). Multivariable-adjusted cumulative readmissions over time for heart transplant recipients, stratified by CR participation, are shown in Figure 2. Readmission curves for CR participants and non-participants diverge within 90 days after discharge, with CR participants showing a lower rate of readmission throughout the 1-year follow-up period.

Table 4. Predictors of 1-year Readmission Risk Among Medicare Beneficiaries Receiving Heart Transplants in 2013 (N = 595).

One-year readmission risk

Characteristic Hazard ratioa 95% CI p-value
CR participation 0.71 0.58 to 0.87 0.001
Age group (years)
 <35 0.61 0.41 to 0.91 0.02
 35 to 49 1.09 0.80 to 1.48 0.60
 50 to 64 0.89 0.73 to 1.09 0.26
 ≥65 Referent
Gender
 Female 1.32 1.06 to 1.64 0.01
 Male Referent
Race
 Black 0.93 0.72 to 1.21 0.59
 Other 0.97 0.68 to 1.37 0.86
 White Referent
Census region
 Midwest 1.01 0.78 to 1.31 0.93
 Northeast 0.95 0.75 to 1.19 0.64
 West 0.73 0.54 to 0.99 0.04
 South Referent
Clinical
 Previous VAD 0.91 0.75 to 1.09 0.30
 Discharge to IRF or SNF 1.40 1.13 to 1.74 0.002
 Chronic pulmonary disease 1.33 1.03 to 1.72 0.03
 Coagulopathy 0.96 0.80 to 1.16 0.68
 Deficiency anemia 1.08 0.86 to 1.35 0.52
 Depression 1.12 0.85 to 1.48 0.42
 Diabetes 1.11 0.91 to 1.35 0.30
 Fluid and electrolyte disorders 0.94 0.78 to 1.14 0.55
 Hypertension 0.80 0.66 to 0.97 0.02
 Obesity 0.98 0.73 to 1.33 0.91
 Peripheral vascular disease 0.91 0.66 to 1.26 0.58
 Renal failure 1.05 0.87 to 1.26 0.64
 Weight loss 1.00 0.78 to 1.28 0.99

CI, confidence interval; CR, cardiac rehabilitation; IRF, inpatient rehabilitation facility; SNF, skilled nursing facility; VAD, ventricular assist device.

a

Hazard ratios derived from the multivariable-adjusted AndersenGill model with robust sandwich covariance estimator (or proportional means model).

Figure 2.

Figure 2

Cumulative readmissions over time for Medicare beneficiaries receiving heart transplants in 2013, stratified by participation in cardiac rehabilitation. Cumulative readmissions were calculated using the Andersen–Gill model with a robust sandwich covariance estimator adjusted for age, gender, race, census region, comorbidities, discharge to an inpatient rehabilitation facility or skilled nursing facility, and previous ventricular assist device. Shaded areas represent 95% confidence intervals.

Temporal trends in CR utilization

Temporal trends in CR participation among transplant recipients were analyzed by comparing patients in 2013 with patients undergoing transplantation 5 years earlier, in 2008 (Table 5). There were 2,163 heart transplants in 2008, of which 486 (22%) had Medicare coverage. Among Medicare beneficiaries receiving heart transplants in 2008, 205 (42%) participated in CR programs, a significantly lower percentage than in 2013 (55%, p < 0.001). CR participants attended a mean of 23.0 ±11.9 sessions in 2008, also significantly lower than in 2013 (p < 0.001). As in 2013, patients receiving transplants in 2008 were more likely to participate in CR if they were older and from the Midwest.

Table 5. Characteristics, Cardiac Rehabilitation Initiation Rates and Number of Sessions Attended Among Medicare Beneficiaries Receiving Heart Transplants in 2008 (N = 486).

Characteristic All transplants CR non-participants CR participants CR initiation rate p-valuea Mean CR sessions among CR participants p-valueb
All [n (%)] 486 281 (58%) 205 (42%) 42% 23.0 ± 11.9
Demographic
 Age group (years) 0.63 0.002
  <35 32 (7%) 19 (7%) 13 (6%) 41% 15.3 ± 11.7
  35 to 49 80 (16%) 50 (18%) 30 (15%) 38% 17.3 ± 13.5
  50 to 64 231 (48%) 135 (48%) 96 (47%) 42% 24.0 ± 11.6
  ≥65 143 (29%) 77 (27%) 66 (32%) 46% 25.6 ± 10.4
 Gender 0.16 0.18
  Female 125 (26%) 79 (28%) 46 (22%) 37% 20.7 ± 13.1
  Male 361 (74%) 202 (72%) 159 (78%) 44% 23.6 ± 11.5
 Race 0.27 0.45
  White 350 (72%) 195 (69%) 155 (76%) 44% 23.6 ± 11.9
  Black 91 (19%) 56 (20%) 35 (17%) 38% 21.6 ± 12.7
  Other 45 (9%) 30 (11%) 15 (7%) 33% 20.1 ± 10.6
 Region 0.004 0.18
  Midwest 110 (23%) 49 (17%) 61 (30%) 55% 24.8 ± 11.5
  Northeast 77 (16%) 41 (15%) 36 (18%) 47% 21.4 ± 12.8
  South 202 (42%) 128 (46%) 74 (36%) 36% 23.3 ± 11.9
  West 97 (20%) 63 (22%) 34 (17%) 35% 20.7 ± 11.8
Clinical
 Previous VAD 0.21 0.79
  Yes 85 (18%) 44 (16%) 41 (20%) 48% 23.5 ± 12.2
  No 401 (82%) 237 (84%) 164 (80%) 41% 22.9 ± 12.0
 Discharge to IRF or SNF 0.38 0.36
  Yes 47 (10%) 30 (11%) 17 (8%) 36% 21.5 ± 12.5
  No 439 (90%) 251 (89%) 188 (92%) 43% 23.4 ± 11.8

CR, cardiac rehabilitation; IRF, inpatient rehabilitation facility; ; SD, standard deviation; VAD, ventricular assist device.

a

Pearson's chi-square test.

b

Wilcoxon's test.

Discussion

This is the first study to report CR utilization rates in patients undergoing heart transplantation in the USA. CR was underutilized among transplant recipients, with slightly over half of patients participating in CR programs. There is geographic variation in CR after heart transplantation, with the Midwest having the highest CR initiation rates. Those transplant patients who do participate in CR programs begin an average of 2 months after discharge and attend two thirds of the recommended course of 36 sessions. Younger transplant CR participants attend significantly fewer CR sessions than older patients. CR was found to be associated with a significant decrease in 1-year readmission risk in transplant patients after multivariable adjustment.

CR utilization varies by indication, with reported initiation rates ranging from < 10% in patients with systolic heart failure6 to 10% to 20% in patients with acute myocardial infarction and percutaneous coronary intervention7,8,31 and up to 30% to 35% after coronary artery bypass grafting.4,5,9,32 Our observed initiation rate of 55% in cardiac transplant recipients is the highest to date among CR's indications. However, the fact that only half of heart transplant patients undergo CR is both surprising and sub-optimal. Cardiac transplant candidates must have the potential to regain functional capacity to be listed, and a significant proportion of transplant recipients are likely capable of attending CR programs.33

Younger heart transplant recipients have the highest functional capacity in the immediate post-operative period34 and, on this basis, would be expected to be more likely to participate in CR. Our findings suggest the opposite, with younger patients less than half as likely to initiate CR than those age ≥65 years old. Moreover, younger transplant patients attend significantly fewer CR sessions than older transplant recipients. The intensity of CR participation is important as a dose-dependent relationship has been identified between the number of sessions attended and mortality in patients with ischemic heart disease.4,5 Work responsibilities are a potential barrier to CR attendance that disproportionately affects younger patients.

In addition to work responsibilities, other barriers to CR participation include distance to the nearest CR center, availability of transportation, caregiver responsibilities and social anxiety.358 Insurance status and the clinical specialty of the referring provider can present barriers to referral.39,40 All of these barriers are likely to vary by geographic region, and we have identified significant geographic variation in CR initiation rates. Although the South accounts for the largest proportion of heart transplants, transplant recipients in the Midwest are more than twice as likely to attend CR programs as those in the South. This geographic variation in CR utilization is consistent with earlier studies of CR use after acute myocardial infarction and coronary artery bypass grafting.9 Some of the geographic variation in CR utilization may be related to access, although nearly every transplant center in this analysis reported having a CR program. We identified similar geographic patterns in CR use among heart transplants in 2008, suggesting that this variation represents a durable trend.

Although there were similar geographic patterns in CR among transplant patients in 2008 and 2013, the proportion of the entire cohort initiating CR increased from 42% to 55% (p < 0.001). CR participants attended an average of 3.7 more sessions (p < 0.001) in 2013 compared with 5 years earlier. These findings likely represent a gradual increase over the past 10 years, as Medicare began reimbursing CR after heart transplantation in 2006.41 CR referral for heart transplantation and other conditions became a National Quality Forum–endorsed performance measure in 2007,2 after which referral rates for acute myocardial infarction42 and heart failure6 both began to rise. Of note, the CR quality measure does not apply to patients discharged to post-acute rehabilitation facilities.2

Our analysis has demonstrated that CR initiation rates are lower in transplant patients discharged to IRFs or SNFs, possibly due to lower referral rates. Severe functional impairment or frailty may limit CR participation in these patients,43 although we were unable to characterize this with administrative claims data. This population is also less able to participate in CR due to a higher burden of comorbidities, as demonstrated by the fact that heart transplant patients discharged to post-acute care facilities have a significantly higher risk of being readmitted over 1 year.

Readmissions represent a major source of morbidity and economic cost in heart transplant patients. Our study has clinical implications in demonstrating an association between CR and decreased risk of readmissions. CR programs may be an effective way for facilities to attenuate readmissions in the critical first year after heart transplantation. Healthy cohort bias is inherent to observational studies involving CR, and it is possible that such bias could lead to an overestimate of the effect of CR on readmissions. Frailty or functional impairment could contribute to this bias. However, our analysis controlled extensively for sociodemographic and clinical factors, and Elixhauser comorbidity groups provide effective comorbidity adjustment in surgical populations,22,44 including heart transplant patients.45 The most common causes of readmission in heart transplant patients are rejection, infection and cardiovascular complications.46,47 Future studies could investigate CR in the context of indications for readmission, although identifying these diagnoses would likely require adjudication.

One way that heart transplant centers could increase CR utilization is to focus on decreasing the time between discharge and the first CR session. A randomized, controlled trial between early appointments to CR after discharge (median time 8.5 days) and standard appointments (median time 42 days) in patients with ischemic heart disease demonstrated that early appointments significantly improved attendance at the orientation visit.48 Median time between discharge and first CR appointment for our cohort was 54 days, longer than the standard appointment group of the trial referenced previously. The causes of delays in CR initiation are complex and include insurance pre-approval as well as facility capacity and patient comorbidities.49,50 Another study also identified an association of time between heart transplantation and first CR appointment with greater body mass index and body fat percent, providing another rationale for early CR appointments after discharge.51 Given the fact that most transplant centers have CR programs, it is feasible for hospitals to work with CR providers to ensure that heart transplant patients are given timely appointments. Automatic enrollment of heart transplant patients in CR programs by institutional protocol has also been used to increase CR utilization.52

Our study has limitations. First, we were only able to capture utilization data on transplant patients age ≥65 years old or with Medicare disability benefits, which comprised approximately one quarter of total transplant recipients. However, the fact that most patients in our cohort received disability coverage under Medicare does not indicate that they would be inherently less likely to participate in CR, as all patients reaching UNOS IA or IB status are eligible for disability benefits. Rather, some patients may not have had disability benefits approved by the time they undergo transplantation. In addition, age, gender and racial characteristics of Medicare beneficiaries undergoing heart transplantation approximate the entire cohort of heart transplant recipients.53 Second, our data were obtained from CMS administrative claims. These data are not adjudicated and lack granular data on clinical characteristics. However, CMS data have been used to effectively study many cardiovascular therapies, including CR, in earlier work.4,5,9 Third, our analyses were limited to heart transplant patients enrolled in fee-for-service Medicare and may not be generalizable to patients enrolled in Medicare private health plans. However, fee-for-service Medicare still accounted for 72% of Medicare beneficiaries in 2013.54

In summary, only half of heart transplant recipients in the USA participate in CR programs, but CR is associated with a decreased risk of readmission at 1 year after discharge. These data suggest a path for reducing readmissions in a high-risk population that requires an enormous amount of health-care resources. Our findings invite further research on the etiology of CR under-utilization in cardiac transplant recipients, including the possibility of under-referral to CR programs as well as characterization of barriers to CR participation. This research will inform quality improvement interventions to increase CR uptake and the number of sessions attended in heart transplant recipients.

Acknowledgments

This project received grant support from Vanderbilt Clinical and Translational Science from the National Center for Advancing Translational Sciences at the National Institutes of Health (Grant UL1 TR000445), the Agency for Healthcare Research and Quality (Grant No. K12HS022990), and was supported in part by the Health Resources and Services Administration (Contract No. 234-2005-37011C).

Footnotes

Disclosure statement: The authors have no conflicts of interest to disclose. The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the supporting agencies, nor does mention of trade names, commercial products or organizations imply endorsement by the U.S. Government.

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