Association of Race and Socioeconomic Position with Outcomes in Pediatric Heart Transplant Recipients
Abstract
We assessed the association of socioeconomic (SE) position with graft loss in a multicenter cohort of pediatric heart transplant (HT) recipients. We extracted six SE variables from the US Census 2000 database for the neighborhood of residence of 490 children who underwent their primary HT at participating transplant centers. A composite SE score was derived for each child and four groups (quartiles) compared for graft loss (death or retransplant). Graft loss occurred in 152 children (122 deaths, 30 retransplant). In adjusted analysis, graft loss during the first posttransplant year had a borderline association with the highest SE quartile (HR 1.94, p = 0.05) but not with race. Among 1-year survivors, both black race (HR 1.81, p = 0.02) and the lowest SE quartile (HR 1.77, p = 0.01) predicted subsequent graft loss in adjusted analysis. Among subgroups, the lowest SE quartile was associated with graft loss in white but not in black children. Thus, we found a complex relationship between SE position and graft loss in pediatric HT recipients. The finding of increased risk in the highest SE quartile children during the first year requires further confirmation. Black children and low SE position white children are at increased risk of graft loss after the first year.
Abbreviations:
-
- CI
-
- confidence interval
-
- ECMO
-
- extra-corporeal membrane oxygenation
-
- HR
-
- hazard ratio
-
- HT
-
- heart transplant
-
- PHTS
-
- Pediatric Heart Transplant Study
-
- SE
-
- socioeconomic
-
- UNOS
-
- United Network for Organ Sharing
-
- US
-
- United States
-
- VAD
-
- ventricular assist device
Introduction
Black transplant recipients, including children, are at increased risk of graft loss after heart and other solid organ transplantation (1–4). This association is thought to be mediated by a higher risk of rejection (recurrent rejection, late rejection and rejection with hemodynamic compromise) in black pediatric heart transplant recipients (5–7). Previous studies have attributed higher rejection-risk in black recipients to genetic and immunologic factors (8,9). However, racial and ethnic differences in income, wealth and education are well known in the United States (US) (10,11). These socioeconomic (SE) differences between racial groups may affect health-related behavior and availability of resources (12) and may contribute to the association of race with outcomes in transplant recipients (13).
Because of lack of availability of patient or family SE data, previous analyses have used proxy SE variables such as median income for the zip code of patient residence and have not found an association between patient SE position and posttransplant outcomes using these variables (2,14). A zip-code represents a relatively large geographic area with an average population of 30,000 and is often heterogeneous with regards to the SE position of its residents (15). A block group (average population 1000) is the smallest unit for which census SE data are collected and represents the neighborhood of a person's residence (16). Block groups are relatively homogeneous with respect to economic status and living conditions of their residents (15,16). A single center study using block group SE data has suggested that low SE position may be an independent risk factor for graft loss in pediatric heart transplant recipients (17).
The purpose of this study was to assess in a multicenter cohort whether patient SE position, determined for the block group of patient residence, is associated with graft loss and risk of rejection in pediatric heart transplant recipients.
Materials and Methods
Subjects
We assessed the association of patient SE position with posttransplant outcomes in patients from four pediatric heart transplant centers (Children's Hospital Boston, MA, Loma Linda University Children's Hospital, CA, Atlanta Children's Hospital, GA, and Children's Hospital of New York, Columbia University, NY) participating in the Pediatric Heart Transplant Study (PHTS). The PHTS is an event-driven, prospective, multi-institutional database established in January 1993 that collects outcome data in children listed for heart transplantation at participating institutions. All PHTS centers have obtained Institutional Review Board approval for participation in PHTS.
All patients who underwent their first heart transplant at one of the four participating centers between January 1, 1993 and December 31, 2005 and participated in the PHTS were eligible for this study. We excluded non-US residents (international patients) who came to the US for heart transplant. For the purpose of this analysis, the four participating centers provided the block group of residence of their patients already enrolled in the PHTS study, which were then used to collect their baseline SE data.
Assessment of SE position
Each patient's home address at the time of heart transplant was used to determine the block group of residence from the US census web site. Based on a previously described measure using six SE variables for the block group of residence, a summary SE score was derived for each patient and used to determine the SE position (16,18). The SE variables selected for the summary score were first described by Diez Roux et al. (16) using factor analysis, a statistical method to select variables out of a large set that can be meaningfully combined into a composite score.
The summary SE scores used in this study were determined from data on six SE variables for each patient's block group of residence, which were extracted from the US Census 2000 report. These variables represent three dimensions of wealth and income (log of the median household income, log of the median value of housing units, and the percentage of households receiving interest, dividend, or net rental income), two dimensions of education (the percentage of adults 25 years of age or older who had completed high school and the percentage of adults 25 years of age or older who had completed college) and one dimension of occupation (the percentage of employed persons 16 years of age or older in executive, managerial or professional specialty occupations) for the residents of the block group. For each variable, a z-score for each block group was calculated by subtracting the overall mean of that variable (across all block groups in the sample) from the value of the variable for that block group and dividing by the standard deviation. The summary SE score for each patient was obtained by adding the six z-scores (one for each of the six variables) for that patient. Data on the proportion of individuals living in the block group who were below the federally defined poverty level were also collected (18). Race/ethnicity was defined as reported by the transplant center to the PHTS.
Outcome variables
The primary outcome variable was graft loss (death or retransplantation) and was analyzed for both early (first year posttransplant) and late phase (conditional to surviving the first posttransplant year). Patients were followed until their graft loss (event) or censored on December 31, 2007. To further understand the association of SE position with graft loss, we also evaluated the association of SE position with the following secondary outcome variables: (a) cumulative rejection episodes (number of rejection episodes/patient over time), (b) time to first rejection episode, (c) time to first rejection episode with hemodynamic compromise (7) and (d) time to first late rejection episode (defined as first rejection episode more than 1 year after primary transplant) (5). As in previous PHTS studies (5,6), we defined a rejection episode as an event that resulted in acute augmentation of immune suppression because of endomyocardial biopsy findings or due to clinical and/or echocardiography findings of graft dysfunction.
Statistical analysis
Patients were divided into four equal-size groups based on their ranks (quartiles) on summary SE scores (group 1 being the lowest and group 4 the highest SE group). The groups were compared for the distribution of demographic, clinical, and SE variables using analysis of variance or Wilcoxon rank-sum test, as appropriate. Kaplan–Meier survival curves (with log-rank test) were used to compare time to graft loss and other time-to-event outcomes. Parametric multivariable proportional hazard modeling was used to assess the association of SE position (SE quartile) with risk of early and late graft loss and with secondary outcomes when found significant by log-rank test. Models were constructed using a forward selection procedure retaining variables significant at the 0.10 level based on a likelihood ratio test. These models were adjusted for transplant centers (irrespective of statistical significance) to control for institutional differences in distribution of patient diagnosis, race, SE position, clinical practice patterns and in cost of living in different US regions. All tests were two-sided. The data were analyzed using statistical software SAS version 8.2 (SAS Institute Inc, Cary, NC). A p-value less than 0.05 was considered statistically significant.
The authors had full access to the data and take responsibility for its integrity. All authors have read and agree to the manuscript as written.
Results
Study population
Five hundred and twenty eight children who participated in the PHTS during 1993–2005 underwent their first heart transplantation at one of four participating institutions in this study. Of these, 38 children (7%) did not have a US home address in their medical records (because they were either non-US residents or had a US postoffice box address) to determine their block group of residence. The remaining 490 children formed the analytic cohort. Their mean age at transplant was 6.1 years, 57% were male, 68% were white, 16% were black and 23% were Hispanic (including white and black Hispanics). The distribution of demographic and clinical characteristics of children by their SE groups is shown in Table 1. The differences in distribution of racial groups across SE groups were statistically significant; blacks and Hispanics were more likely to be in the lower SE groups and whites in the higher SE groups (Table 1). The groups did not differ with respect to age, cardiac diagnoses, listing status, year of transplant, pre-transplant management with invasive support (inotrope, ventilator, extracorporeal membrane oxygenation, ventricular assist device) or percent with renal insufficiency.
Variable | Group 1 (n = 122) | Group 2 (n = 123) | Group 3 (n = 122) | Group 4 (n = 123) | p-Value |
---|---|---|---|---|---|
Age at transplant (yrs) | 6.1 | 6.3 | 5.3 | 6.7 | 0.4 |
Age at transplant1 | 0.5 | ||||
<1 yr | 43 (35%) | 38 (31%) | 49 (40%) | 35 (29%) | |
1–9 yrs | 39 (32%) | 48 (39%) | 43 (35%) | 43 (35%) | |
10–17+ yrs | 40 (33%) | 37 (30%) | 30 (26%) | 44 (36%) | |
Race/ethnicity2 | |||||
White/Caucasian | 57 (47%) | 86 (70%) | 96 (79%) | 94 (76%) | <0.0001 |
Black | 32 (26%) | 22 (18%) | 10 (8%) | 17 (14%) | 0.002 |
Hispanic | 51 (42%) | 33 (27%) | 17 (14%) | 9 (7%) | <0.0001 |
Other | 33 (27%) | 15 (12%) | 16 (13%) | 12 (10%) | 0.0007 |
Male gender | 69 (57%) | 73 (59%) | 71 (58%) | 67 (55%) | 0.9 |
Diagnosis | 0.1 | ||||
Cardiomyopathy | 48 (39%) | 57 (46%) | 54 (44%) | 58 (47%) | |
Congenital heart disease | 72 (59%) | 65 (53%) | 61 (50%) | 63 (51%) | |
Other | 2 (2%) | 1 (1%) | 7 (6%) | 2 (2%) | |
Transplant years | 0.3 | ||||
1993–1997 | 46 (38%) | 45 (37%) | 44 (36%) | 33 (27%) | |
1998–2001 | 29 (24%) | 23 (19%) | 26 (21%) | 37 (30%) | |
2002–2005 | 47 (39%) | 55 (45%) | 52 (43%) | 53 (43%) | |
Clinical Status at transplant | |||||
UNOS status 1/1A | 101 (84%) | 92 (75%) | 103 (84%) | 101 (82%) | 0.3 |
Inotropes | 57 (47%) | 59 (48%) | 66 (54%) | 68 (55%) | 0.4 |
Ventilator | 25 (20%) | 18 (15%) | 20 (16%) | 15 (12%) | 0.3 |
ECMO | 5 (4%) | 8 (6%) | 6 (5%) | 8 (6%) | 0.8 |
VAD | 11 (10%) | 3 (2%) | 5 (4%) | 8 (6%) | 0.1 |
Renal insufficiency | 3 (2%) | 3 (2%) | 0 (0%) | 4 (3%) | 0.9 |
Graft Loss n (%) | 48 (39%) | 37 (30%) | 29 (24%) | 38 (31%) | 0.07 |
Graft loss first year, n (%) | 17 (14%) | 12 (10%) | 12 (10%) | 25 (20%) | 0.05 |
Composite SE score | −5.9 | −2.2 | 1.2 | 6.9 | <0.001 |
Median household income in $ thousands | 26.9 | 37.7 | 49.6 | 77.0 | <0.001 |
Median value of houses in $ thousands | 112.4 | 121.9 | 149.3 | 241.3 | <0.001 |
% Households with rental, dividend or interest income | 14 | 24 | 36 | 54 | <0.001 |
% Residents>25 years with high school graduation | 56 | 74 | 84 | 93 | <0.001 |
% Residents>25 years with college degree | 8 | 0.14 | 23 | 46 | <0.001 |
% Employed as manager, professional or executive | 17 | 25 | 34 | 52 | <0.001 |
% Individuals below poverty level | 30 | 16 | 8.4 | 3.8 | <0.001 |
- Data are expressed as mean or number (percent). yr = year; SE = socioeconomic; ECMO = extra-corporeal membrane oxygenation; VAD = ventricular assist device.
- 1One age missing.
- 2May be in multiple categories.
Neighborhood SE characteristics
The SE characteristics of block groups of residence of the four SE groups are compared in Table 1. As expected, the differences between patient groups were statistically significant for all SE variables (p < 0.001 for all comparisons). The higher SE group patients lived in neighborhoods with progressively higher median household income and housing value, higher proportion of adults who had completed high school or college education, more workers in managerial, professional or executive profession and greater number of households that had rental, interest or dividends as source of income. The percentage of individuals living below the poverty level declined progressively with higher SE neighborhoods.
Graft loss
Overall, graft loss occurred in 152 children (122 deaths, 30 retransplant) during the study period. Graft loss occurred in 39%, 30%, 24% and 31% patients, respectively, in the four SE groups. Figure 1 compares graft loss during the first posttransplant year in the four SE groups using Kaplan–Meier curves. One-year freedom from death or re-transplant was 85%, 89%, 89% and 79% in the four groups, respectively (p = 0.10, log rank test for comparison among groups censored at 1-year). Race (black vs. non black, p = 0.2) or ethnicity (Hispanic vs. non-Hispanic) were not associated with first-year graft loss (p = 0.9). In a multivariable analysis adjusted for institutions and race, first-year graft loss was independently associated with ventilator support at transplant (hazard ratio, HR 2.68, 95% CI 1.38, 5.22, p = 0.003) and had a borderline association with SE group 4, the highest SE group (HR 1.94, 95% CI 0.98, 3.9, p = 0.05, Table 2). There was no association of first-year graft loss with age at transplant, patient gender, year of transplant, listing status at transplant and ECMO or VAD at transplant.

Kaplan–Meier survival curves comparing time to graft loss in the four SE groups during the first year posttransplant.
Variable | Early phase HR (95% CI) | p-Value | Late phase HR (95% CI) | p-Value |
---|---|---|---|---|
SE group 1 | – | – | 1.77 (1.13, 2.80) | 0.01 |
SE group 4 | 1.94 (0.98, 3.9) | 0.05 | – | – |
African American | 0.64 (0.23, 1.8) | 0.39 | 1.81 (1.07, 3.07) | 0.02 |
Ventilator at transplant | 2.68 (1.38, 5.22) | 0.003 | – | – |
Status 1 at transplant | – | – | 0.55 (0.35, 0.89) | 0.01 |
- Analysis adjusted for transplant centers and race.
Figure 2 illustrates graft loss conditional to surviving the first year (n = 397) by SE groups (panel 1) and by race (panel 2). There was a significant difference among SE groups in late graft loss (p = 0.007) with worse outcome in SE Group 1 (lowest SE group) compared to other groups. Black children were at higher risk of death or re-transplant compared to non-black children among first years survivors (p < 0.001). The difference in risk of graft loss between Hispanic and non-Hispanic children was not significant (p = 0.2). In a multivariable analysis, late-phase graft loss was independently associated with black race (HR 1.81, 95% CI 1.07, 3.07, p = 0.02) and the lowest SE group (HR 1.77, 95% CI 1.13, 2.80, p = 0.01, Table 2).

Kaplan–Meier survival curves comparing time to graft loss conditional to surviving the first year in SE groups (panel 1) and between black and non-black children (panel 2).
Risk of rejection
A total of 851 rejection episodes were diagnosed in the study cohort. At least one rejection episode occurred in 358 (73%) of 490 children. Late rejection episodes (more than 1-year posttransplant) occurred in 172 (43%) of 397 1-year survivors of transplant.
Figure 3 illustrates a comparison of cumulative rejection episodes per patient with duration since transplant in the four SE groups (panel 1) and between black and non-black children (panel 2). The incidence of cumulative rejection episodes per patient was almost identical among the SE and racial groups during the first year posttransplant. However, SE group 1 and black race both appeared to be associated with higher cumulative rejection episodes with increasing duration since transplant.

Comparison of cumulative rejection episodes per patient in SE groups (panel 1) and between black and non-black children (panel 2).
There was no difference among SE groups in time to first rejection episode. The median time to first rejection episode (in months) was 2.3, 2.3, 1.4 and 1.5 in the four SE groups, respectively (p = 0.6, log-rank test). Furthermore, time to first rejection episodes was not different between black and non-black children (median time 2.9 vs. 1.7 months, p = 0.8) and between Hispanic and non-Hispanic children (median time 2.3 vs. 1.7 months, p = 0.30). Black children were at increased risk (shorter time) for first rejection with hemodynamic compromise compared to non-black children p = 0.008); however no difference was noted among the four SE groups for this outcome (p = 0.1).
Black patients were at higher risk of late rejection compared to non-blacks (p = 0.02, Figure 4, panel 1). The difference among SE groups in time to first late rejection was also statistically significant, SE Group 1 being the highest risk group (p = 0.001, Figure 4, panel 2). In a multivariable model, risk factors for late rejection included black race (HR 1.64, 95% CI 1.11, 2.43, p = 0.001), older age, and history of rejection during the first year, whereas patients on ECMO at transplant and SE group 3 patients (HR 0.48, 95% CI 0.32, 0.73, p = 0.0004) were at decreased risk of late rejection (Table 3).

Comparison of time to first late rejection episode (>1 year in 1-year survivors) among the four SE groups (panel 1) and between black and non-black children (panel 2).
Variable | Hazard Ratio (95% CI) | p-Value |
---|---|---|
Age at transplant1 | 1.27 (1.02, 1.58) | 0.03 |
SE group 3 | 0.48 (0.32, 0.73) | 0.0004 |
African American | 1.64 (1.11, 2.43) | 0.01 |
ECMO at transplant | 0.39 (0.15,.97) | 0.04 |
Rejection during first year | 1.32 (1.00, 1.33) | 0.05 |
- Time to first rejection > 1 year posttransplant in 1-year survivors. Analysis is adjusted for transplant centers.
- 1Hazard ratio compares 10 year old vs. 1 year old at transplant.
Discussion
In this study, we assessed the association of race and SE position with graft loss in pediatric heart transplant recipients in a multicenter cohort. We found that the association of SE position with graft loss was related to time since transplant. Specifically, high SE children (Group 4) appeared to be at a higher risk of graft loss during the first-year posttransplant with 1-year graft survival of only 79%. However, this association was of borderline significance in adjusted analysis (p = 0.05). After the first year, low SE group (Group 1) and black children were at higher risk of graft loss. Low SE group and black children also had a higher frequency of cumulative rejection episodes. In race-specific subgroup analysis, low SE position was associated with a higher risk of graft loss among white children. Although black children were more likely to be in the low SE group compared to white children, SE position among black children could not risk-stratify them further.
Previous studies have suggested that worse posttransplant outcomes in black recipients may be mediated by donor-recipient HLA mismatch, differences in metabolic/immunologic pathways and presence of a pro-inflammatory state in blacks, all of which may increase risk of rejection (9). Other studies have found a persistent pro-inflammatory state in adolescents exposed to unfavorable SE conditions in early life (19). Our data were unable to show that SE position amplifies the biologic effect of black race on posttransplant outcomes; however, this may be due to a small sample of black children in this study (70 children divided into four SE groups in late phase). The results do suggest, however, that SE factors may contribute to graft loss in pediatric heart transplant recipients, although the relationship appears complex.
The biologic consequences of low SE position for health are well known. SE position has been associated with health inequities within all racial/ethnic groups (10,20,21). SE differences between different racial/ethnic groups may also play a causal role in health outcome disparities across these groups (21,22). In this study, we compared outcomes among groups that represented progressively higher SE position instead of comparing low SE group children with a control group for outcomes (17). Population studies have previously shown a gradient in health outcomes with improving SE position (23). The results of our analysis, particularly for the first posttransplant year, were unexpected and surprising. Although the finding of increased risk of graft loss in highest SE group during the first year was of borderline statistical significance, we considered the possibility that these children were either more complex or sicker at transplant. The proportion of children in this group on invasive support (such as ventilator or ECMO) or with end-organ dysfunction (renal insufficiency) was not higher. This suggests that the observed association was due to variables not captured in the database or perhaps a chance association (type 1 error).
The association of low SE position with graft loss after the first year appeared to be mediated, in part, by a higher frequency of rejection episodes in this group. Because low SE group children were as likely to be supported by mechanical support at the time of their transplant as the other groups and did not have worse outcomes during the first year posttransplant, it appears unlikely that they received inferior care either early after transplant or later in their follow-up. Differences in resources, education and understanding of a complex, chronic disease in patients from different SE background may have contributed to differences in their late outcomes. Comorbidities and social factors not assessed in this study may also have contributed to this association.
The association of SE position with posttransplant outcomes in previous studies has been affected by whether patient- or zip-code based SE variables were used in the study. Studies that used patient-specific variables support such an association. For example, renal and liver transplant recipients with college or higher education and those with private insurance were reported to have longer graft and patient survival independent of race (24,25). However, no association between median income in the zip code of patient residence and graft survival was found (24). Similarly, in a multivariable model that demonstrated racial differences in outcomes in children after heart transplantation, SE position determined by the zip-code median income was not a predictor of graft loss (2). These disparate findings may be explained by epidemiologic studies which have shown that even when SE measures obtained from block groups demonstrated significant association with outcomes such as all-cause and cause-specific mortality, zip-code based SE measures in the same population demonstrated either no association with outcomes or contrary to that observed for block groups (15). Our study supports the findings for late phase outcomes of a previous single-center study using block group SE data in pediatric heart transplant recipients (17).
These findings have several important implications. First, the borderline association of high SE position with worse early outcomes in this study needs to be confirmed in other cohorts because of its potential medical and ethical implications. Second, late outcomes in low SE position transplant recipients may be improved by frequent assessment of patient/family SE position, education, resources and level of understanding. This may help identify high-risk patients in whom patient-specific interventions may help improve their outcome. Third, a routine collection of patient and area SE variables in prospective transplant registries may help in further defining and monitoring their relationship with patient outcomes. Finally, studies that examine immunologic and genetic differences between solid organ transplant recipients of different racial/ethnic groups and relate them to posttransplant outcomes should also routinely collect patient and neighborhood-level SE data that allows control for SE position.
This study has some limitations. First, SE position was defined entirely by the SE characteristics of block group of residence of study subjects. We did not have family or patient-specific SE variables available for analysis. Some researchers advocate collection of SE data at multiple levels (individual, family and neighborhood) to understand their relative contribution to health and disease (26). Second, the study was performed in transplant recipients from only four large metropolitan areas who may not be representative of all US recipients. We did however compare overall graft loss between PHTS children in this analysis and the remaining PHTS subjects and found it to be the same. Third, the change in SE position of transplant recipients over time was not assessed. SE position was characterized similar to any baseline demographic or biologic variable (18,27,28). Fourth, we cannot conclude from this study that the observed associations are causal.
In conclusion, we found a complex relationship between SE position and graft loss in pediatric HT recipients. Those in the highest SE quartile were at increased risk during the first year. This finding requires confirmation in other cohorts. Black children and white children in low SE position were at increased risk of graft loss after the first year. Interventions directed at low SE group patients may improve overall posttransplant outcomes.
Acknowledgments
The authors thank Sarah Evans, BS for assistance with collection of SE data from US census web site. This study was supported in part by Heart Transplant Education and Research Fund, Children's Hospital Boston.
Funding: Heart Transplant Education and Research Fund, Children's Hospital Boston.
Disclosures
The authors of this manuscript have no conflicts of interest to disclose as described by the American Journal of Transplantation.
Appendix
Variables considered in the multivariable models for graft loss were age, race, gender, year of transplant, listing status, ventilator at transplant, VAD support and ECMO support at the time of transplant. Variables considered in the multivariable model for late rejection were diagnosis (congenital heart disease), recipient and donor age, recipient and donor gender, year of transplant, race, rejection during the first year after transplant and serum creatinine at transplant.