| 2007 JASN IMPACT FACTOR 7.111 | HOME AUTHOR INFO EDITORIAL BOARD SUBSCRIBE FEEDBACK ALERTS HELP | |||
| CURRENT ISSUE | ARCHIVES | JASN Express | ONLINE SUBMISSION | |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Clinical Transplantation |



* Department of Medicine, Division of Nephrology, University of California, San Francisco, California; and
VA Information Resource Center and the Midwest Center for Health Services and Policy Research, Hines VA Hospital, Hines, Illinois
Address correspondence to: Dr. Harini Chakkera, UCSF - Division of Nephrology, HSE 672, 513 Parnassus Avenue, Box 0532, San Francisco, California, 94143-0532. Phone: 415-476-2172; Fax: 415-476-3381; hchakkera{at}att.net
| Abstract |
|---|
|
|
|---|
| Introduction |
|---|
|
|
|---|
To examine the possibility that racial disparities in kidney transplant outcomes reflect differences in access to care during the posttransplantation period, we designed an observational study to compare outcomes after kidney transplantation among patients who received dialysis care within and outside the United States Department of Veterans Affairs (VA). The VA is the largest integrated managed care system in the United States, providing comprehensive medical care to eligible veterans depending on their priority and eligibility level, determined by a multilevel prioritization system that is based in large part on the extent of service-connected condition, period of service, and income. Several previous studies have demonstrated an absence or diminution in racial disparities for a variety of health outcomes among patients who were treated within versus outside the VA (1316). Among kidney transplant recipients, a crucial difference among eligible veterans and those who are eligible for Medicare but not VA services is that prescription drug coverage, particularly immunosuppressant coverage, in the VA health care system is broader than under Medicare (17). Although the recent Medicare proposal has eliminated time limitation on Medicare benefits for immunosuppression drug coverage (18), traditionally, the coverage of immunosuppressive medications for Medicare recipients ended 3 yr after transplantation, in contrast to the VA health care, which covers all medications, including immunosuppressive agents, with a $2 to $7 copayment for higher income veterans who have no service-connected illness (19).
We hypothesized specifically that as a result of differences in access to care, including coverage of immunosuppressive agents during the posttransplantation period, racial disparities in kidney transplant outcomes would be less pronounced among recipients with evidence of VA dialysis coverage before transplantation than among other recipients. We further hypothesized that this effect would be most pronounced during the later posttransplantation period at the time when Medicare coverage of immunosuppressive agents ceases.
| Materials and Methods |
|---|
|
|
|---|
|
Because most ESRD patients are eligible for Medicare irrespective of age (23), many VA users have the option of choosing either Medicare or VA health insurance as their primary health insurance. Therefore, ESRD patients who are VA users often have a greater variety of potential sources of health coverage than those who are non-VA users. We assumed that patients who had received pretransplant dialysis care within the VA represented a group that could rely on having access to VA care and specifically to immunosuppressive agents throughout the posttransplantation period, if needed. We were also able to determine which members of this group underwent kidney transplant surgery within versus outside the VA. Details of the diagnostic codes used in this search are provided in the Appendix. Patients who were identified in this search then were linked via social security number, name, and date of birth to USRDS data using an existing USRDS matching algorithm. The study was approved by the University of California San Francisco Institutional Review Board, the San Francisco VA Medical Center Research and Development Committee, and the Edward J. Hines, Jr., VA Hospital Institutional Review Board and Research and Development Committee.
Primary Predictor Variables
The predictor variable for the primary analysis was African-American (versus nonAfrican-American) race as recorded in the USRDS PATIENTS file. NonAfrican-American race was selected as the referent category because <5% of VA users belonged to racial/ethnic groups other than African American or Caucasian. Our primary analyses measured the association of African-American race with graft and patient survival in the overall cohort and among VA user and non-VA user subgroups. In addition, we examined overall graft and patient survival among VA users who underwent kidney transplantation within versus outside the VA.
Secondary Predictor Variables
Multivariable analyses were adjusted for the following recipient factors: age and vintage at the time of transplantation; gender; body surface area (BSA) <1.6, 1.6 to 1.8, 1.8 to 2.0 (referent), 2.0 to 2.2, and >2.2 m2; dialysis modality at initiation of ESRD (peritoneal versus hemodialysis); dialysis modality immediately before transplant (peritoneal versus hemodialysis); transplant era (1991 to 1993 [referent], 1993 to 1995, 1995 to 1997, and 1997 onward); and comorbid conditions, including diabetes (classified as insulin dependent and noninsulin dependent), treated chronic obstructive pulmonary disease, treated hypertension, cerebrovascular disease, peripheral vascular disease, and cardiovascular disease/angina. We also included data on functional status (independent in activities of daily living versus not); employment status at the time of transplant (employed versus unemployed); educational level (college educated versus not); and most recent and peak panel reactive antibody status categorized as 0%, <50%, and
50% as reported by USRDS. The following donor characteristics were also included: Age, gender, race (categorized as Caucasian [referent], African American, and other), donor type (living versus deceased), number of HLA mismatches (0 to 6), cold ischemia time (categorized as <1 h [referent], 1 to 12 h, 13 to 24 h, and
25 h) as reported by USRDS, and cause of donor death (vascular [cerebrovascular and cardiovascular] versus nonvascular).
Outcome Measures
For the primary analysis, we adopted the United Network for Organ Sharing definition of graft survival as "organ removal, death, or replacement on chronic allograft support system" (http://www.unos.org/PoliciesandBylaws/policies.asp). We conducted companion analyses using the alternative outcome of overall patient survival.
Statistical Analyses
We compared baseline recipient and donor characteristics across VA user and non-VA user groups stratified by African-American and nonAfrican-American race. We also compared recipient and donor characteristics among VA users who received a transplant within versus outside the VA using the t test, the Wilcoxon rank-sum test, or the
2 test.
We measured the association of African-American race with time to graft failure and time to death using survival analysis. We compared unadjusted graft survival among African-American and nonAfrican-American VA users and non-VA users with Kaplan-Meier curves and the log-rank test. We used Cox proportional hazards analysis to measure the univariate and multivariable associations of baseline patient and donor characteristics with graft survival. In the primary analysis focusing on graft survival, patients were censored at the time of graft failure or death or at the end of follow-up. Companion analyses in which death was considered a graft loss were conducted.
Multivariable analyses were conducted in the overall study sample and after stratification by subgroup (VA users, non-VA users, VA users who received a transplant within the VA, and VA users who received a transplant outside the VA). To evaluate further the estimated effects of differences in access to care within the VA versus outside the VA after the 3-yr "coverage" period, we measured composite allograft survival after stratification for time after transplantation (<3 versus
3 yr) among VA users and non-VA users who received a transplant after 1994. Multivariable models were adjusted for all donor and recipient characteristics that were significantly associated with the outcome in univariate analysis (P < 0.05). We tested the proportional hazards assumption using standard residual-based techniques (24). To determine whether VA status modified the association of race with graft survival, we tested a VA-user x race interaction term in multivariable models.
In addition to adjusting for covariates in multivariable regression, we attempted to address selection effects using propensity scores (17) because veteran status was not randomly allocated. To develop the propensity score, we included in a separate multivariable logistic regression analysis all factors that differed among the VA user and non-VA user groups, using a more liberal "significance" criterion of P < 0.25. Using VA user status as the dependent variable, we fit a model predicting the likelihood or "propensity" of VA user status. We then incorporated the propensity score as a covariate in the proportional hazards regression model using time to graft failure as the dependent variable. Inclusion of the propensity score as a covariate in a multivariable regression theoretically normalizes the likelihood of a nonrandomly allocated treatment or exposure (in this case, VA user status) and may adjust for unobserved confounding and selection bias, thereby refining regression estimates.
All multivariable models were adjusted for a random effect for center. The possibility that transplant recipients from the same center may be more similar than transplant recipients from different centers was accommodated for by using the robust variance method of Lin and Wei (25) in multivariable Cox models. Explicitly including center effects in the models was not practical because of the large number of different centers. For all analyses, missing data were handled by creating a missing indicator variable for the categorical variables that were missing >5% of values and for continuous variables that were missing >10% of values. Otherwise, a mean value was imputed for missing continuous variables. All statistical analyses were conducted using STATA statistical software, version 8.0 (College Station, TX).
| Results |
|---|
|
|
|---|
Baseline Patient Characteristics
African-American recipients composed a much larger percentage of VA users than non-VA users (Table 1). Substantial differences in patient and donor characteristics were present among African-American and nonAfrican-American recipients and among members of these groups who were VA users and non-VA users, respectively. Specifically, within both VA and non-VA user groups, compared with all other recipients, African Americans were older, had longer dialysis vintage before transplant, were less likely to be on peritoneal dialysis, had a higher prevalence of most comorbidities, received kidneys with longer cold ischemia time, and had a lower prevalence of living donor transplants compared with nonAfrican-American recipients. Among African-American and nonAfrican-American recipients, VA users were older, had larger mean BSA, were less likely to be on peritoneal dialysis, and had a higher prevalence of most comorbidities and lower functional status than non-VA users. In addition, living donor transplantation was less common and mean cold ischemia time was longer among VA users.
|
Survival Analysis
In univariate analysis, African-American race was strongly associated with decreased graft survival (Table 2). This was true among VA users and non-VA users (Figure 2). In addition, VA user versus non-VA user status, older age, most comorbid conditions, higher BSA, higher panel reactive antibody, HLA mismatch, hemodialysis as pretransplant dialysis modality, lower education level, unemployed status, and lack of independence in activities of daily living were significantly associated with graft failure. Among donor characteristics examined, older age, female gender, African-American race, deceased (rather than living) donor, donor death with a vascular mechanism, and longer cold ischemia time were significantly associated with graft failure.
|
|
|
Finally, we conducted companion analyses with propensity score adjustment to determine whether the findings described with standard regression techniques might be modified by residual confounding or selection bias associated with VA user status. The RR estimates for African-American race were virtually indistinguishable from those obtained with the usual Cox models (data not shown).
| Discussion |
|---|
|
|
|---|
Several previously published studies in non-ESRD populations have demonstrated fewer racial disparities in disease outcomes among patients who are cared for within versus outside the VA. For example, there seems to be no racial disparity in outcomes among patients with Pneumocystis carinii pneumonia and colorectal and lung cancer treated within the VA, whereas such disparity does occur outside the VA (1315). In fact, for a variety of common medical conditions, mortality rates actually seem to be lower among African-American than among Caucasian veterans (16).
That racial disparities in kidney transplant outcomes were present to an approximately equal extent among VA and non-VA users may reflect the absence of marked differences in access to care among these two groups in the setting of comprehensive Medicare coverage for the majority of transplant recipients (23). Similar results were obtained when considering time frames within and outside the 3-yr coverage window. These findings suggest that access to care (including immunosuppressive agent coverage) does not seem to explain the observed large racial disparities in kidney transplant outcomes. Rather, a variety of other processes such as renal sensitivity to hypertension (7), poor donor recipient HLA matching (26,27), racial HLA antigen variants and greater MHC polymorphism (28,29), increased immune responsiveness (30), and differences in the metabolism of various immunosuppressive agents (3133) could contribute to poorer allograft survival among African Americans. In addition, racial disparities in health outcomes may be related to subtle differences in patients perception of care, preferences for new medical interventions, and physician biases in providing care (3436). In support of this contention, several VA studies have shown substantial perceived racial differences in access to care within the VA (37) in addition to racial disparity in processes of care or disease outcomes (3840).
It is unclear from the present analysis why VA users experienced worse graft and patient survival than non-VA users. Our results suggest that overall poor allograft survival among VA users is not explained by poor performance among a particular veteran subgroup such as those who received a transplant within versus outside the VA. Given the small magnitude of the point estimate and the inability to adjust for severity of comorbid conditions or for socioeconomic status, it is most likely that our results may be explained by residual confounding by these and other factors. However, it is also possible that differences in pre- or posttransplantation care among VA users compared with non-VA users may underlie differences in outcomes after kidney transplantation between these two groups. Further studies will be required to understand better the differences in posttransplantation outcomes among VA and non-VA users who undergo kidney transplantation.
There are several limitations to the analyses presented herein. First, despite the completeness and the relatively large sample size of USRDS data and adjusting for a wide variety of donor and recipient characteristics, residual confounding by disease severity, socioeconomic status, income levels, differences in geographic access, or other factors not included in the model may have influenced the results. Second, we had limited ability to compare transplant outcomes among VA users who received a transplant within versus outside the VA as a result of the relatively small number of patients in the former group. Third, the VA user cohort was predominantly male and thus limits the generalizability of our study findings to women. Fourth, we were unable to characterize in detail differences between VA users and non-VA users in posttransplantation care. Finally, although graft and patient survival are typical metrics for quality of transplant care, these are not comprehensive measures of care after kidney transplantation as they do not incorporate measures of patient quality of life.
In summary, in a large national cohort of kidney transplant recipients, African-American race was strongly associated with poorer graft and patient survival even after extensive adjustment for donor and recipient characteristics, regardless of whether the patients were VA or non-VA users and whether they survived beyond the period of Medicare immunosuppression coverage. These results demonstrate that in contrast to many other disease states, racial disparities in kidney transplant outcomes persist in a universal access-to-care system such as the VA. Further studies are needed to understand the elevated risk for graft failure among African Americans and whether this relates to more subtle differences in quality and accessibility of posttransplantation care among African Americans or to race-specific differences in biologic factors that are known to be associated with graft failure.
| Acknowledgments |
|---|
005. This work is also supported in part by funding from the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service for the VA Information Resource Center (SDR 98-001) and VA grant ECI-20-016 (D.H., principal investigator).
We thank Brenda S.V. Salvas (Manager, National VA Transplant Office, Washington, DC) for information on the kidney transplantation process at the VA. We also thank Dr. Peter Bacchetti (Department of Epidemiology and Biostatistics, University of California, San Francisco) and Dr. Bertram Kasiske for providing valuable insight into the manuscript.
| Footnotes |
|---|
| References |
|---|
|
|
|---|
113
This article has been cited by other articles:
![]() |
J. E. Locke, D. S. Warren, F. Dominici, A. M. Cameron, M. S. Leffell, D. A. McRann, J. K. Melancon, D. L. Segev, C. E. Simpkins, A. L. Singer, et al. Donor Ethnicity Influences Outcomes following Deceased-Donor Kidney Transplantation in Black Recipients J. Am. Soc. Nephrol., October 1, 2008; 19(10): 2011 - 2019. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Hsu, K. L. Johansen, C.-y. Hsu, G. A. Kaysen, and G. M. Chertow Higher Serum Creatinine Concentrations in Black Patients with Chronic Kidney Disease: Beyond Nutritional Status and Body Composition Clin. J. Am. Soc. Nephrol., July 1, 2008; 3(4): 992 - 997. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. S. Gill, S. Hussain, C. Rose, S. Hariharan, and M. Tonelli Access to Kidney Transplantation among Patients Insured by the United States Department of Veterans Affairs J. Am. Soc. Nephrol., September 1, 2007; 18(9): 2592 - 2599. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. L. Kasiske, J. R. Maclean, and J. J. Snyder Acute Myocardial Infarction and Kidney Transplantation J. Am. Soc. Nephrol., March 1, 2006; 17(3): 900 - 907. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
HOME
CURRENT ISSUE
ARCHIVES
JASN Express
ONLINE SUBMISSION
AUTHOR INFO
EDITORIAL BOARD SUBSCRIBE FEEDBACK ALERTS HELP |