Influence of socioeconomic status on allograft and patient survival following kidney transplantation

Association between social deprivation and incidence of first seizures and epilepsy: a prospective population based cohort

OBJECTIVE

Epidemiologic studies have investigated whether social deprivation is associated with a higher incidence of epilepsy and results are conflicting, especially in children. The mechanisms underlying a potential association are unclear. This study examines whether there is an association between social deprivation and the incidence of first seizures (unprovoked and provoked) and new diagnosis of epilepsy by comparing incidence across an area-level measure of deprivation in a population-based cohort.

METHODS

Multiple methods of case identification followed by individual case validation and classification were carried out in a defined geographical area (population 542,868) to identify all incident cases of first provoked and first unprovoked seizures and new diagnosis of epilepsy presenting during the calendar year 2017. An area-level relative deprivation index, based on ten indicators from census data, was assigned to each patient according to registered address and categorised into quintiles from most to least deprived.

RESULTS

The annual incidence of first unprovoked seizures (n=372), first provoked seizures (n=189) and new diagnosis of epilepsy (n=336) was highest in the most deprived areas compared to the least deprived areas (incidence ratios of 1·79 (95%CI 1·26, 2·52), 1·55 (95%CI 1·04, 2·32) and 1·83 (95%CI 1·28, 2·62), respectively). This finding was evident in both adults and children and in those with structural and unknown aetiologies of epilepsy.

SIGNIFICANCE

The incidence of first seizures and new diagnosis of epilepsy is associated with more social deprivation. The reason for this higher incidence is likely multifactorial.

Disparity in Accessibility to and Prognosis of Kidney Transplantation According to Economic Inequality in South Korea: A Widening Gap After Expansion of Insurance Coverage

BACKGROUND

Nationwide studies on the effects of wealth inequality on kidney transplantation are rare, particularly in a country with an expanded National Health Insurance Service and in Asian countries.

METHODS

In this nationwide, population-based cohort study, we reviewed the national claims database of Korea in which details of nationwide health insurance are provided. From 2007 to 2015, 9 annual cohorts of end-stage renal disease patients were included. The annual financial statuses were collected and stratified into 5 subgroups in each year: the aided group in which insurance fee was waived and the 4 other groups divided by quartiles of their medical insurance fee. Time trends of incidence proportion of kidney transplantation among end-stage renal disease patients in each year were initially assessed. The risk of graft failure, both including death-censored graft failure and death with a functioning graft, was analyzed as a prognostic outcome within the transplant recipients.

RESULTS

Significant disparity in the accessibility of kidney transplantation was present, and it was further widening, particularly from 2009 in which the National Health Insurance Service started to cover desensitized kidney transplantation. Desensitized or preemptive transplantation was less common in the poorest group who were more frequently receiving transplantation after 5 years of dialysis in the latter years. The prognosis of kidney transplantation was significantly worse in the poorer people, and this disparity also worsened during the study period.

CONCLUSIONS

Prominent disparity regarding accessibility to and prognosis of kidney transplantation was observed in Korea according to wealth inequality, and this disparity was worsening.

Does Distance to Transplant Center Affect Post Kidney Transplant Readmission Rates?

Many transplant recipients travel long distances to their transplant center with challenging access to their transplant team. As such, many centers keep recipients near to the center for a period immediately after discharge from the transplant admission. Thus far, the correlation between distance to the transplant center, readmission, and outcomes has not been described. The aim of this study was to examine this relationship. Patients undergoing deceased donor kidney transplant at a single center over a three-year period were analyzed via retrospective chart review for factors associated with distance to the transplant center and readmission. P values < 0.05 were considered significant. Of 141 patients, the overall 90-day readmission rate was 38.3 per cent, and rates were similar between nonlocal and local recipients. Nonlocal were more likely whites (66.1% vs 45.6%; P = 0.032) and from rural areas (56.5% vs 13.9%; P < 0.001). Length of stay was similar between groups, as were rates of delayed graft function. Non–death-censored graft survival was higher at one and three years for nonlocal patients (96.8% and 96.8% vs 89.7% and 78.4%; P = 0.016). This remained significant after adjusting for baseline differences between the groups (hazard ratio (HR) for graft failure = 0.195, 95%, P = 0.046). Patients who live remotely from the transplant center do not experience higher rates of readmission or worsened outcomes, and thus may be managed safely at home. Interestingly, graft survival is improved in nonlocal patients. This may reflect the urban nature of the area surrounding our transplant center, but warrants further study for conclusions to be reached.

Young adults have worse kidney transplant outcomes than other age groups

BACKGROUND

The objective of this study was to establish if renal transplant outcomes (graft and patient survival) for young adults in England were worse than for other age groups.

METHODS

Outcomes for all renal transplant recipients in England (n = 26 874) were collected from Hospital Episode Statistics and the Office for National Statistics databases over 12 years. Graft and patient outcomes, follow-up and admissions were studied for all patients, stratified by age bands.

RESULTS

Young adults (14-23 years) had substantially greater likelihood [hazard ratio (HR) = 1.26, 95% confidence interval (CI) 1.10-1.19; P < 0.001] of kidney transplant failure than any other age band. They had a higher non-attendance rate for clinic appointments (1.6 versus 1.2/year; P < 0.001) and more emergency admissions post-transplantation (25% of young adults on average are admitted each year, compared with 15-20% of 34- to 43-year olds). Taking into account deprivation, ethnicity, transplant type and transplant centre, in the 14- to 23-year group, return to dialysis remained significantly worse than all other age bands (HR = 1.41, 95% CI 1.26-1.57). For the whole cohort, increasing deprivation related to poorer outcomes and black ethnicity was associated with poorer outcomes. However, neither ethnicity nor deprivation was over-represented in the young adult cohort.

CONCLUSIONS

Young adults who receive a kidney transplant have a significant increased likelihood of a return to dialysis in the first 10 years post-transplant when compared with those aged 34-43 years in multivariable analysis.

Socioeconomic Status and Kidney Transplant Outcomes in a Universal Healthcare System: A Population-based Cohort Study

BACKGROUND

Conflicting evidence exists regarding the relationship between socioeconomic status (SES) and outcomes after kidney transplantation.

METHODS

We conducted a population-based cohort study in a publicly funded healthcare system using linked administrative healthcare databases from Ontario, Canada to assess the relationship between SES and total graft failure (ie, return to chronic dialysis, preemptive retransplantation, or death) in individuals who received their first kidney transplant between 2004 and 2014. Secondary outcomes included death-censored graft failure, death with a functioning graft, all-cause mortality, and all-cause hospitalization (post hoc outcome).

RESULTS

Four thousand four hundred-fourteen kidney transplant recipients were included (median age, 53 years; 36.5% female), and the median (25th, 75th percentile) follow-up was 4.3 (2.1-7.1) years. In an unadjusted Cox proportional hazards model, each CAD $10000 increase in neighborhood median income was associated with an 8% decline in the rate of total graft failure (hazard ratio [HR], 0.92; 95% confidence interval [CI], 0.87-0.97). After adjusting for recipient, donor, and transplant characteristics, SES was not significantly associated with total or death-censored graft failure. However, each CAD $10000 increase in neighborhood median income remained associated with a decline in the rate of death with a functioning graft (adjusted (a)HR, 0.91; 95% CI, 0.83-0.98), all-cause mortality (aHR, 0.92; 95% CI, 0.86-0.99), and all-cause hospitalization (aHR, 0.95; 95% CI, 0.92-0.98).

CONCLUSIONS

In conclusion, in a universal healthcare system, SES may not adversely influence graft health, but SES gradients may negatively impact other kidney transplant outcomes and could be used to identify patients at increased risk of death or hospitalization.

County socioeconomic characteristics and pediatric renal transplantation outcomes

BACKGROUND

Existing risk adjustment models for solid organ transplantation omit socioeconomic status (SES). With limited data available on transplant candidates' SES, linkage of transplant outcomes data to geographic SES measures has been proposed. We investigate the utility of county SES for understanding differences in pediatric kidney transplantation (KTx) outcomes.

METHODS

We identified patients < 18 years of age receiving first-time KTx using United Network for Organ Sharing registry data in two eras: 2006-2010 and 2011-2015, corresponding to periods of county SES data collection. In each era, counties were ranked by 1-year rates of survival with intact graft, and by county SES score. We used Spearman correlation (ρ) to evaluate the association between county rankings on SES and transplant outcomes in each era and consistency between these measures across eras. We also evaluated the utility of county SES for improving prediction of individual KTx outcomes.

RESULTS

The analysis included 2972 children and 108 counties. County SES and transplant outcomes were not correlated in either 2006-2010 (ρ = 0.06; p = 0.525) or 2011-2015 (ρ = 0.162, p = 0.093). County SES rankings were strongly correlated between eras (ρ = 0.99, p < 0.001), whereas county rankings of transplant outcomes were not correlated between eras (ρ = 0.16, p = 0.097). Including county SES quintile in individual-level models of transplant outcomes did not improve model predictive utility.

CONCLUSIONS

Pediatric kidney transplant outcomes are unstable from period to period at the county level and are not correlated with county-level SES. Appropriate adjustment for SES disparities in transplant outcomes could require further collection of detailed individual SES data.

Socioeconomic Disparities in Adherence and Outcomes After Heart Transplant: A UNOS (United Network for Organ Sharing) Registry Analysis

BACKGROUND

There is mixed evidence of racial and socioeconomic disparities in heart transplant outcomes. Their underlying cause-and whether individual- or community-level traits are most influential-remains unclear. The current study aimed to characterize socioeconomic disparities in outcomes and identify time trends and mediators of these disparities.

METHODS AND RESULTS

We used United Network for Organ Sharing registry data and included 33 893 adult heart transplant recipients between 1994 and 2014. Socioeconomic status (SES) indicators included insurance, education, and neighborhood SES measured using a composite index. Black race and multiple indicators of low SES were associated with the primary outcome of death or retransplant, independent of baseline clinical characteristics. Blacks had lower HLA and race matching, but further adjustment for these and other graft characteristics only slightly attenuated the association with black race (HR, 1.25 after adjustment). This and the associations with neighborhood SES (HR, 1.19 for lowest versus highest decile), Medicare (HR, 1.17), Medicaid (HR, 1.29), and college education (HR, 0.90) remained significant after full adjustment. When comparing early (1994-2000) and late (2001-2014) cohorts, the disparities associated with the middle (second and third) quartiles significantly decreased over time, but those associated with lowest SES quartile and black race persisted. Low neighborhood SES was also associated with higher risks of noncompliance (HR, 1.76), rejection (HR, 1.28), hospitalization (HR, 1.13), and infection (HR, 1.10).

CONCLUSIONS

Racial and socioeconomic disparities exist in heart transplant outcomes, but the latter may be narrowing over time. These disparities are not explained by differences in clinical or graft characteristics.