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Published in final edited form as: Transpl Int. 2013 Aug 20;26(11):10.1111/tri.12168. doi: 10.1111/tri.12168

Multivessel coronary revascularization and outcomes in kidney transplant recipients

Colin R Lenihan 1, Maria E Montez-Rath 1, Wolfgang C Winkelmayer 1, Tara I Chang 1
PMCID: PMC3816637  NIHMSID: NIHMS512585  PMID: 23957580

Abstract

Coronary artery disease is a major cause of morbidity and mortality in the kidney transplant population. We compared the long-term outcome of coronary artery bypass graft (CABG) surgery with percutaneous coronary artery intervention (PCI) for multivessel coronary disease in a contemporary cohort of US kidney transplant recipients.

From the U.S. Renal Data System, we identified all adult kidney transplant patients with ≥ 6 months of Medicare A+B undergoing first recorded multivessel coronary revascularization from 1997–2009. The associations of CABG versus PCI with death and the composite of death or myocardial infarction (MI) were compared using proportional hazards regression.

Of the 2272 patients included in the study, 1594 underwent CABG and 678 underwent PCI. The estimated 5-year survival rate was 55% (95% confidence interval [CI] 53% to 57%) following coronary revascularization, with no significant association between revascularization type and death (adjusted hazard ratio [aHR]=1.08;CI 0.94 to 1.23) or the composite of death or MI (aHR = 1.07; CI 0.96 to 1.18). Separate propensity score matched analyses yielded similar results.

In this analysis of kidney transplant recipients undergoing multivessel coronary revascularization, we found no difference between CABG and PCI in terms of survival or the composite of death and MI.

Keywords: kidney transplant, coronary artery disease, percutaneous coronary intervention, coronary artery bypass graft

INTRODUCTION

Kidney transplantation is the best treatment for end stage renal disease (ESRD) for survival and quality of life (1, 2). However, kidney transplant recipients have a reduced life expectancy compared to the general population (3). Cardiovascular disease is the leading cause of death and accounts for almost as many deaths as infection and malignancy combined (4). Contributing factors to this high cardiovascular risk include an overrepresentation of traditional risk factors such as hypertension and diabetes mellitus and non-traditional risk factors such as allograft dysfunction and systemic inflammation (5, 6).

Kidney transplant recipients are at particularly high risk of coronary artery disease with a cumulative incidence of myocardial infarction (MI) of over 11% in the 3 years following successful transplant (7). In randomized trials of non-ESRD patients with multivessel coronary artery disease, treatment with coronary artery bypass grafting (CABG) is superior to percutaneous coronary intervention (PCI) in terms of lower rates of repeat revascularization and cardiovascular events (8, 9). However, none of these trials included patients with ESRD. Observational studies of patients with ESRD on maintenance dialysis have shown a survival benefit associated with CABG over PCI (10, 11), but data in the kidney transplant population are limited. The largest study, of U.S. transplant recipients from the 1990’s undergoing coronary revascularization, found no difference in long-term survival but did show a reduced risk of AMI and cardiac death associated with CABG compared with PCI (12). However, that study and other smaller studies (13, 14) pre-date important changes in revascularization practices and in the demographics and management of kidney transplant patients (4, 15).

Coronary artery disease management in kidney transplant recipients remains a major challenge, given the large evidence gap comparing CABG and PCI for the management of multivessel coronary disease in this population. We therefore sought to test the hypothesis that multivessel CABG would be associated with improved survival and cardiovascular morbidity compared with multivessel PCI in a contemporary kidney transplant population.

MATERIALS AND METHODS

Study Population

We identified all patients in the United States Renal Data System (USRDS) who received a first documented CABG (ICD-9 procedure codes 36.1x) or PCI (ICD-9 procedure codes 36.00, 36.01, 36.02, 36.07, 36.06, 36.07, 36.09, or 00.66) after developing ESRD between 1997 and 2009 (Figure 1). The hospital admission date was defined as the index date. We then required patients to have a functioning renal transplant on the index date and excluded patients on maintenance dialysis, patients with unknown model of renal replacement therapy, or patients undergoing kidney transplant during the index hospitalization.

Figure 1.

Figure 1

Cohort assembly of patients with functioning kidney transplant at the time of first recorded multivessel coronary revascularization.

We excluded patients receiving both CABG and PCI during the same hospitalization and restricted the cohort to patients undergoing documented multivessel procedures (identified using ICD-9 procedure codes for 36.12, 36.13, 36.14, or 36.16 for multivessel CABG; 36.05 before October 2005; 00.66 and either an ICD-9 code of 00.41, 00.42, 00.43 or a CPT code of 92981, 92984 or 92996 after October 2005 for multivessel PCI). Among patients undergoing CABG, we excluded patients undergoing concomitant ventricular reconstruction or pericardial or valve surgery (ICD-9: 35.xx, 37.31, 37.32, 37.35, 37.4, or 37.5). We further excluded patients who had a history of CABG or PCI not based on procedure codes (ICD-9 diagnosis codes V45.81 or V45.82.)

We included patients revascularized between January 1, 1997 and December 31, 2009 and required patients to have continuous Medicare Part A and B coverage as primary payer for six months prior to the index date to ensure a uniform period in which to ascertain comorbid conditions and past healthcare utilization.

Follow-up and Outcomes

The primary outcome of interest was death from any cause, ascertained from the USRDS “patient” file, which derives information on patient deaths irrespective of Medicare coverage status.

The secondary outcome was a composite of first MI or death from any cause. We defined MI as an ICD-9 diagnosis code of 410.xx as a primary hospitalization diagnosis code or 410.x1 in any secondary diagnosis code position. An MI occurring during the index hospitalization was not considered an outcome, since it may have occurred prior to, and led to, the revascularization.

Follow-up for the primary outcome was until January 1, 2010. Because ascertainment of MI required hospitalization information, for the composite outcome of death or MI we followed patients until death, the first time that Medicare Part A and B coverage ended, or January 1, 2010.

Covariates

We obtained data on age, sex, race (white, black and other), duration of ESRD, and cause of ESRD from the USRDS patient and treatment history files. We also obtained transplant related characteristics such as number of years with current kidney transplant, transplant type (living donor, standard deceased donor, or expanded criteria donor), whether the current transplant was a preemptive transplant, and previous failed kidney transplant from the USRDS transplant files.

We defined comorbid conditions using ICD-9 codes and procedure codes from ≥ 1 inpatient or ≥ 2 outpatient encounters separated by at least one day in the six months prior to (but not including) the index date (Supplemental Table S1). We identified the following comorbid conditions: MI, heart failure, hypertension, cerebrovascular disease, valve disease, peripheral vascular disease, diabetes mellitus, chronic lung disease, systemic cancer, tobacco use, and alcohol abuse. We identified an MI on index presentation by presence of an ICD-9 code of 410.xx in the primary diagnosis code position or 410.x1 in any secondary diagnosis code position.

To adjust for differences in prior health care utilization, we identified the number of non-nephrology outpatient visits, number of hospitalized days, and patients who had any nursing home stay in the six months prior to the index date.

Statistical Analysis

Differences in baseline characteristics among patients undergoing multivessel CABG versus multivessel PCI were compared using chi-square tests, t-tests, and non-parametric tests as appropriate. Unadjusted incidence rates, defined as the number of events over person-time observed, were calculated for each outcome.

We used multivariate Cox models, stratified by index year, to compute adjusted hazard ratios (HR) for each outcome, with PCI serving as the referent. We computed hazard ratios using two nested models: Model 1, adjusted for age, sex, and race; and, Model 2, additionally adjusted for the variables listed in Table 1. Transplant type was missing for 17% of patients, which was not missing completely at random. Because missingness was correlated with some of the variables, we assumed a missing at random mechanism. We applied multiple imputation techniques using a multivariate normal model (SAS PROC MI) to obtain five imputed datasets, applied the Cox regression model to each imputed dataset, and combined the results as described by Little and Rubin (18) (SAS PROC MIANALYZE). We performed two sensitivity analyses: one using a complete case analysis and one using ten imputed datasets. We hypothesized a priori that there could be effect modification by diabetes mellitus status, and therefore tested for interaction between the treatment modalities and diabetes mellitus as an extension of Model 2 using a multiplicative interaction term. Imputation was done taking into account the interaction. In addition, given the rapid adoption of drug-eluting stents after their introduction into the U.S. market in April 2003, we tested for effect modification by stent era in an analogous fashion: 1997 to 2003 (bare metal stent era) and 2004 to 2009 (drug-eluting stent era).

Table 1.

Baseline patient characteristics

Full Cohort

CABG
N=1594
PCI
N=678
p
Patient Demographics
  Age (years) 57.6 (11.0) 58.6 (10.6) 0.04
  Female 30.8 34.7 0.07
  Race 0.9
    White 84.1 84.2
    Black 12.0 11.8
    Other 3.9 4.0
Cause of ESRD
  Diabetes 42.9 41.2 0.3
  Hypertension 16.4 15.6
  Glomerulonephritis 17.9 16.8
  Other 22.8 26.4
Total years with ESRD, median (IQR) 8.5 (5.6–13.2) 8.3 (5.0–12.7) 0.1
Years with current transplant, median 6.0 (3.0–9.9) 5.5 (2.9–9.5) 0.2
(IQR)
Transplant type
  Living donor 26.5 22.1 0.2
  Standard deceased donor 53.8 55.0
  Expanded criteria donor 7.1 8.4
  Missing 17.6 14.5
Preemptive current transplant 7.7 8.6 0.5
Had previous failed kidney transplant 12.9 10.0 0.05
Skilled Nursing Facility Utilization 2.6 3.5 0.2
Hospital days, median (IQR) 3 (1–9) 3 (1–7) <0.0001
Non-nephrology clinic visits, median 14 (8–22) 15 (9–23) 0.3
(IQR)
MI during index hospitalization 23.8 32.6 <0.0001
Comorbidities
  Myocardial infarction 6.7 6.3 0.7
  Cerebrovascular disease 10.4 8.7 0.2
  Valve disease 14.1 14.8 0.7
  Heart failure 22.3 21.2 0.6
  Peripheral vascular disease 16.5 15.8 0.7
  Diabetes mellitus 60.8 59.9 0.7
  Hypertension 76.9 74.5 0.2
  Alcohol 0.5 0.6 0.8
  Tobacco 3.6 2.8 0.3
  Cancer 3.6 4.9 0.1
  Chronic pulmonary disease 9.4 12.1 0.05

Given the baseline differences in patient characteristics between CABG and PCI recipients, we conducted a companion analysis using a propensity score-matched cohort (16) (Model 3). We used as predictors of receipt of CABG or PCI all of the baseline variables included in our multivariable adjusted models listed above. Given the missing data on transplant type, we also used multiple imputation, including all the variables used in Model 2, and the specified outcome (death and death or MI) to generate five imputed datasets. For each imputed dataset, we used a greedy matching algorithm (17) to match each patient who received a multivessel PCI with a patient who received a multivessel CABG with a difference in propensity scores of no greater than 0.01. We further required that the patients match by index year. We ran a Cox regression model on each matched dataset, and combined the results as above. Sensitivity analyses were performed to assess several different approaches to using propensity score analysis in the presence of missing data. Full details can be found in the Technical Appendix.

We calculated Kaplan-Meier survival rates using the matched cohort and repeated the Cox regression models for our outcomes of interest. We tested the proportional hazards assumption using log (−log) plots. The institutional review board of Stanford University approved the study. A waiver of informed consent was obtained due to the nature of the study. All analyses were conducted using SAS Enterprise Guide 4.3 (Cary, NC).

RESULTS

Our final cohort consisted of 2272 patients with a functioning kidney transplant at the time of their first recorded multivessel coronary revascularization (Figure 1). The proportion of patients undergoing CABG fell from 80% in 1997 to a nadir of 58% in 2006 (Figure 2). After their introduction to the U.S. market in 2003, over 70% of patients undergoing PCI received a drug-eluting stent. Patients undergoing CABG tended to be younger, less often had a diagnosis of an MI during the index hospitalization, but were otherwise fairly well balanced compared with patients undergoing PCI (Table 1).

Figure 2.

Figure 2

Distribution of revascularization method by index year

Abbreviations: Unk = unknown; DES = drug eluting stent; BMS = bare metal stent; CABG = coronary artery bypass grafting

Patients undergoing CABG were followed for a median of 3.6 years (interquartile range [IQR] 1.3 to 6.5 years), during which time there were 872 deaths. Patients undergoing PCI were followed for a median of 3.2 years (IQR 1.2 to 5.5 years) during which time there were 313 deaths (Table 2). Although the crude incidence of death at 30 days was higher for patients undergoing CABG compared with PCI, the long-term crude incidence rates were similar in both groups at approximately 12 deaths/100 person-years. The majority of deaths were due to cardiovascular events (Table 2). Five-year survival rates were 55% (CI 53% to 57%) irrespective of revascularization type. In the propensity score-matched cohort, patients undergoing CABG had 30-day, two- and five-year survival rates of 95% (CI 93% to 96%), 76% (CI 72% to 79%) and 55% (CI 51% to 60%), respectively; 30-day, two- and five-year survival rates were similar for patients undergoing PCI (97%, CI 95% to 98%; 77%, CI 74% to 81%; and 58%, CI 54% to 63%; Figure 3A)

Table 2.

Outcomes and crude incidence rates in the full cohort

Outcome CABG
N=1594
PCI
N=678
Death
Events within 30 days 98 22
  Total number of events 872 313
  Person-time at risk (years) 6735 2537
  Incidence rate (events/100 person-years) 12.6 12.3
Causes of death N (%)
  Cardiovascular 292 (33.5) 85 (27.2)
  Infection 75 (8.6) 30 (9.6)
  Withdrawal from dialysis 18 (2.1) 6 (1.9)
  Other/unknown 487 (55.9) 192 (61.3)
Death or Myocardial Infarction
  Number of events 1360 573
  Person-time at risk (years) 5710 2102
  Incidence rate (events/100 person-years) 23.8 27.3

Figure 3.

Figure 3

Survival curves for the propensity score-matched cohort for (A) death and (B) the composite of death or MI.

Log-rank tests yielded p=0.48 for the outcome of death (A) and p=0.79 for the outcome of death or MI (B).

We found no significant association of revascularization type with death in unadjusted or adjusted models (Figure 4). Our results were not materially changed in sensitivity analyses using complete case analyses, ten imputed datasets, or in models using other propensity score and imputation techniques (Supplemental Table S2). There was no evidence of effect modification by diabetes mellitus status or by stent era (P-interaction >0.1 in all models).

Figure 4.

Figure 4

Unadjusted and adjusted hazard ratios for coronary artery bypass grafting compared with percutaneous coronary intervention (referent).for the outcomes of (A) death or (B) death or myocardial infarction

Model 1: Adjusted for age, sex, race

Model 2: Model 1 + adjustment for cause of ESRD, total years with ESRD, years with current transplant, transplant type, preemptive current transplant, previous failed transplant, skilled nursing facility utilization, hospital days, non-nephrology clinic visits, index myocardial infarction, and comorbid conditions: myocardial infarction, cerebrovascular disease valve disease, heart failure, peripheral vascular disease, diabetes mellitus, hypertension, alcohol, tobacco, cancer, chronic pulmonary disease

Model 3: Propensity score-matched cohort

For the composite outcome of death or MI, there were 1360 events for patients receiving a CABG and 573 events for patients receiving a PCI (Table 2). We found no significant association of revascularization type with the composite outcome in unadjusted and adjusted models (Figures 3B, 4) and our results were not materially changed in any of our sensitivity analyses (Supplemental Table S2).

DISCUSSION

In our study of U.S. kidney transplant recipients undergoing first recorded revascularization for multivessel coronary artery disease, we observed significant changes in revascularization practices in the kidney transplant population over the study period with decreased CABG utilization and widespread adoption of drug eluting stents. We found no differences in the survival or the composite outcome of death or MI among patients undergoing CABG versus PCI, findings that were robust across a number of analytical approaches.

Kidney transplant recipients have a unique cardiovascular risk profile and are at high risk for coronary artery disease (4, 7). Compounding an excess of traditional risk factors, kidney transplant recipients are exposed to the enhanced risk of cardiovascular disease associated with reduced glomerular filtration rate (GFR) and ESRD, an effect magnified by lengthening transplant waiting lists and protracted dialysis requirements (18, 19). Transplantation, while improving GFR, also contributes additional cardiovascular risk, most notably through the adverse metabolic side-effects associated with current immunosuppressive medication (20). These unique attributes distinguish the kidney transplant from the general, dialysis and non-dialysis-dependent chronic kidney disease populations, and make it important that guidelines for management of cardiovascular disease are based on studies conducted within the kidney transplant population.

Our study of kidney transplant recipients undergoing multivessel coronary revascularization between 1997 and 2009, extends the results of an earlier study by Herzog et al. examining CABG or PCI between 1995 and 1999 (12). Consistent with our results, that study also showed no difference in the risk of all-cause or cardiac death by revascularization type. When they examined a composite outcome of cardiac death or MI, they found a 43% (CI 24% to 58%) lower risk associated with CABG compared with angioplasty without stenting. However, while 25% of their population underwent angioplasty without stenting, only 2% of our patients had no stent placed at the time of PCI, reflective of contemporary practice patterns. Also, their study included patients with single-vessel disease, a condition with a more favorable prognosis usually treated by PCI, which may have biased their results towards the null. We restricted our analysis to patients undergoing multivessel revascularization only, thereby providing a more fair comparison of the relative benefits of CABG compared with PCI.

The five-year survival rates in our study of 55% irrespective of revascularization type are similar to those rates reported by Herzog et al. (12), indicating the lack of improvement in outcomes over the past decade, despite advancements in procedural technique and technology, and use of cardio-protective medications such as statins and platelet inhibitors. Although the five-year survival rates in this kidney transplant population exceed the dismal 22–25% five-year survival rates post-multivessel coronary revascularization in patients with ESRD on dialysis that we previously reported (10), they are still far lower than the 90% five-year survival rates seen in non-ESRD patients (9).

Our study has a number of strengths, including the use of a relatively large population of contemporary U.S. kidney transplant patients, enhancing the applicability of our results to current clinical practice. In addition, the important issue of handling missing data was recently highlighted in the literature (21), and we used several multiple imputation techniques rather than only complete case analysis as recommended to verify the robustness of our results (22). However, our study also has limitations. As with all non-randomized studies comparing two treatment strategies, our analysis could be affected by selection bias, despite adjustment for numerous baseline demographic and clinical characteristics. We also attempted to further mitigate potential selection bias by performing a companion propensity score matched analysis and were reassured to find our results were unchanged with this approach. In addition, because our analysis relies on diagnostic coding, we lacked data on a number of potentially clinically important factors including coronary anatomy, left ventricular ejection fraction, renal function, physical functioning, and medication use, all of which can influence the selection of revascularization type and outcomes.

In summary, in a large cohort of contemporary kidney transplant patients undergoing revascularization for multivessel coronary artery disease, we found no differences in survival or the composite of death or MI between patients treated with CABG or PCI. In the absence of a randomized controlled trial, our study represents the best available comparison of revascularization strategies in the kidney transplant population. Our data suggest that CABG and PCI are both good options for revascularization in multivessel coronary disease and that the decisions regarding choice of revascularization modality should be made on an individual patient basis. Our results underscore the need to focus future cardiovascular studies on patients with ESRD to improve outcomes.

Supplementary Material

Supplementary Appendix Table S1-S2

Acknowledgments

Dr. Chang is supported by the American Heart Association National Scientist Development Grant (12SDG11670032). Dr. Winkelmayer is supported by grant 1R21DK089368 (entitled, “Coronary Artery Bypass Grafting and Percutaneous Coronary Intervention for the Treatment of Coronary Artery Disease in Individuals with Chronic Kidney Disease”), as well as grants 1R21DK077336, 1R01DK090181, 1R01AR057327, 1R01DK090008, 1R01DK095024, as well as by contracts HHSAA2900200500401 and HHSN268201100003C.

This work was conducted under a data use agreement between Dr. Winkelmayer and the National Institutes of Diabetes and Digestive and Kidney Diseases (NIDDK). An NIDDK officer reviewed this manuscript for research compliance and approved of its submission for publication. Data reported herein were supplied by the United States Renal Data System (USRDS). Interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as official policy or interpretation of the US government.

Abbreviations

CABG

coronary artery bypass graft

PCI

percutaneous coronary artery intervention

MI

myocardial infarct

ESRD

end stage renal disease

CI

confidence interval

HR

hazard ratio

ICD9

International Classification of Diseases 9th revision

USRDS

US Renal Data System

CPT

current procedural terminology

GFR

glomerular filtration rate

IQR

interquartile range

Footnotes

Author Contribution: CRL, MMR, WCW and TIC designed research/study; CL, MMR, WCW and TIC performed research/study; WCW collected data; MMR and TIC analyzed data; CRL, MMR, WCW and TIC wrote the paper. All authors read and approved the final manuscript.

Disclosures: The authors of this manuscript have no conflicts of interest to disclose as described by Transplant International.

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Supplementary Materials

Supplementary Appendix Table S1-S2

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