The Combined Roles of Race/Ethnicity and Substance Use in Predicting Likelihood of Kidney Transplantation

Liver transplantation for people of minoritised sexual and gender identities in the USA

The number of people who report to be of minoritised sexual or gender identities in the USA, including lesbian, gay, bisexual, transgender, queer, and other sexuality-diverse and gender-diverse identities, has been increasing in the past decade. This diverse and unique population continues to experience not only health disparities but also psychosocial, economic, and legal disparities in accessing and receiving health care, including liver transplantations. As liver transplantation is life-saving for people with end-stage liver disease, understanding the factors that can affect access to and quality of liver transplantation care in people of minoritised sexual and gender identities in the USA, including differential social supports, insurance coverage, and medical and psychiatric comorbidities, is crucial. Actions, such as collecting sexual orientation and gender identity data, implementing inclusive language, recognising implicit biases, building diverse teams, providing a safer environment, and supporting further research to understand the unique health challenges are needed to ensure equitable access to high-quality liver transplantation care for people of minoritised sexual and gender identities.

Disparities in Kidney Transplant Waitlisting Among Young Patients Without Medical Comorbidities

Importance

Disparities in kidney transplant referral and waitlisting contribute to disparities in kidney disease outcomes. Whether these differences are rooted in population differences in comorbidity burden is unclear.

Objective

To examine whether disparities in kidney transplant waitlisting were present among a young, relatively healthy cohort of patients unlikely to have medical contraindications to kidney transplant.

Design, Setting, and Participants

This retrospective cohort study used the US Renal Data System Registry to identify patients with end-stage kidney disease who initiated dialysis between January 1, 2005, and December 31, 2019. Patients who were older than 40 years, received a preemptive transplant, were preemptively waitlisted, or had documented medical comorbidities other than hypertension or smoking were excluded, yielding an analytic cohort of 52 902 patients. Data were analyzed between March 1, 2022, and February 1, 2023.

Main Outcome(s) and Measure(s)

Kidney transplant waitlisting after dialysis initiation.

Results

Of 52 902 patients (mean [SD] age, 31 [5] years; 31 132 [59%] male; 3547 [7%] Asian/Pacific Islander, 20 782 [39%] Black/African American, and 28 006 [53%] White) included in the analysis, 15 840 (30%) were waitlisted for a kidney transplant within 1 year of dialysis initiation, 11 122 (21%) were waitlisted between 1 and 5 years after dialysis initiation, and 25 940 (49%) were not waitlisted by 5 years. Patients waitlisted within 1 year of dialysis initiation were more likely to be male, to be White, to be employed full time, and to have had predialysis nephrology care. There were large state-level differences in the proportion of patients waitlisted within 1 year (median, 33%; range, 15%-58%). In competing risk regression, female sex (adjusted subhazard ratio [SHR], 0.92; 95% CI, 0.90-0.94), Hispanic ethnicity (SHR, 0.77; 95% CI, 0.75-0.80), and Black race (SHR, 0.66; 95% CI, 0.64-0.68) were all associated with lower waitlisting after dialysis initiation. Unemployment (SHR, 0.47; 95% CI, 0.45-0.48) and part-time employment (SHR, 0.74; 95% CI, 0.70-0.77) were associated with lower waitlisting compared with full-time employment, and more than 1 year of predialysis nephrology care, compared with none, was associated with greater waitlisting (SHR, 1.51; 95% CI, 1.46-1.56).

Conclusions and Relevance

This retrospective cohort study found that fewer than one-third of patients without major medical comorbidities were waitlisted for a kidney transplant within 1 year of dialysis initiation, with sociodemographic disparities in waitlisting even in this cohort of young, relatively healthy patients unlikely to have a medical contraindication to transplantation. Transplant policy changes are needed to increase transparency and address structural barriers to waitlist access.

Racial Disparities in Access to the Kidney Transplant Waitlist Among People with Human Immunodeficiency Virus

The epidemiology of human immunodeficiency virus (HIV) has shifted such that Black individuals disproportionately represent incident HIV diagnoses. While risk of end-stage kidney disease (ESKD) among people with HIV (PWH) has declined with effective antiretroviral therapies, a substantial racial disparity in ESKD burden exists with the greatest prevalence among Black PWH. Disparities in waitlisting for kidney transplantation, the optimal treatment for ESKD, exist for both PWH and Black individuals without HIV, but it is unknown whether these characteristics together exacerbate such disparities. Six hundred two thousand six ESKD patients were identified from the United States Renal Data System (January 1, 2007 to December 31, 2017), and HIV-status was determined through Medicare claims. Cox proportional hazards regression was used to determine waitlisting rates. Multiplicative interaction terms between HIV-status and race were examined. The 6250 PWH were significantly younger, more commonly Black, and less commonly female than those without HIV. HIV-status and race were independently associated with 50% and 12% lower likelihood of waitlisting, respectively [adjusted hazard ratio (aHR): 0.50, 95% confidence interval (CI): 0.36-0.69, p < 0.001; aHR: 0.88, 95% CI: 0.87-0.90, p < 0.001]. There was also a significant interaction present between HIV-status and Black race (aHR: 0.80, 95% CI: 0.66-0.98, p < 0.001) such that, while HIV-status and Black race were independently associated with decreased waitlisting, the interaction of Black race and HIV-status exacerbated those disparities. While limited by lack of HIV-specific data that may impact inferences with respect to race, additional studies are urgently needed to understand the interplay between HIV risk factors, HIV-stigma, and racism, and how intersectionality may exacerbate disparities in transplantation among PWH.

Substance Use Disorders Are Independently Associated with Hospital Readmission Among Patients with Brain Tumors

BACKGROUND

Research on the effects of substance use disorders (SUDs) on postoperative outcomes within neurosurgical oncology has been limited. Therefore, the present study sought to quantify the effect of having a SUD on hospital length of stay, postoperative complication incidence, discharge disposition, hospital charges, 90-day readmission rates, and 90-day mortality rates following brain tumor surgery.

METHODS

The present study used data from patients who received surgical resection for brain tumor at a single institution between January 1, 2017, and December 31, 2019. The Mann-Whitney U test was used for bivariate analysis of continuous variables and Fisher exact test was used for bivariate analysis of categorical variables. Multivariate analysis was conducted using logistic regression models.

RESULTS

Our study cohort included a total of 2519 patients, 124 (4.9%) of whom had at least 1 SUD. More specifically, 90 (3.6%) patients had an alcohol use disorder, 27 (1.1%) had a cannabis use disorder, and 12 (0.5%) had an opioid use disorder. On bivariate analysis, 90-day hospital readmission was the only postoperative outcome significantly associated with a SUD (odds ratio 2.21, P = 0.0011). When controlling for patient age, sex, race, marital status, insurance, brain tumor diagnosis, 5-factor modified frailty index score, American Society of Anesthesiologists score, and surgery number, SUDs remained significantly and independently associated with 90-day readmission (odds ratio 1.82, P = 0.013).

CONCLUSIONS

In patients with brain tumor, SUDs significantly and independently predict 90-day hospital readmission after surgery. Targeted management of patients with SUDs before and after surgery can optimize patient outcomes and improve the provision of high-value neurosurgical care.