Faculty Bibliography

Unauthorized immigrants and permanent residents may experience challenges in accessing kidney transplantation due to limited healthcare access, socioeconomic and cultural barriers. Understanding the United States (US) national landscape of kidney transplantation for non-citizens may inform policy changes. To evaluate this, we utilized two cohorts from the US national registry (2013-2023): 287,481 adult candidates for first transplant listing and 190,176 adult first transplant recipients. Citizenship was categorized as US citizen (reference), permanent resident, and presumed unauthorized immigrant. Negative binomial regression was used to quantify the incidence rate ratio over time by citizenship status. Cause-specific hazards models, with clustering at the state of listing/transplant, were used to calculate the adjusted hazard ratio of waitlist mortality, kidney transplant, and post-transplant outcomes (mortality/death-censored graft failure) by citizenship category. The crude proportion of presumed unauthorized immigrants listed increased over time (2013: 0.9%, 2023:1.9%). However, after accounting for case mix and waitlist size, there was no change in listing over time. Presumed unauthorized immigrants were less likely to experience waitlist mortality (adjusted Hazard Ratio 0.54, 95% Confidence Interval: 0.46-0.62), were more likely to obtain deceased donor kidney transplant (1.11: 1.05-1.18), but less likely to receive live donor (0.80: 0.71-0.90) or preemptive kidney transplant (0.52: 0.43- 0.62). When stratified by insurance status, presumed unauthorized immigrants on Medicaid were less likely to receive deceased donor kidney transplants compared to their citizen counterparts; however, presumed unauthorized immigrants with Private insurance or Medicare were more likely to receive deceased donor kidney transplants. Presumed unauthorized immigrants were less likely to experience post-transplant death (0.56: 0.43-0.69) and graft failure (0.69: 0.57-0.84). Residents had similar pre- and post-transplant outcomes. Despite the barriers to kidney transplantation faced by presumed unauthorized immigrants and residents in the US, better post-transplant outcomes for presumed unauthorized immigrants compared to citizens persisted, even after accounting for differences in patient characteristics.

KEY POINTS:In frail kidney transplant (KT) candidates with obesity, unintentional weight loss preceding KT evaluation is associated with lower chance of listing. In frail candidates with obesity, both unintentional and intentional weight loss is associated with higher waitlist mortality. Results suggest that in frail candidates with obesity, careful supervision of weight loss prior to KT should be considered, emphasizing strategies to preserve muscle mass and function. BACKGROUND:Unintentional weight loss, a hallmark of frailty, predicts worse post–kidney transplantation (KT) outcomes. However, weight loss in candidates with obesity is often recommended to enhance transplant eligibility. We tested whether pre-evaluation weight change is associated with listing/waitlist mortality, considering intentionality and frailty. METHODS:) enrolled in a prospective multicenter cohort study. We estimated the association between pre-evaluation weight change (stable, gain, unintentional/intentional loss) with chance of listing/waitlist mortality using Cox proportional hazards/competing-risks models. RESULTS:Among candidates with obesity, 48% had stable weight, 17% had weight gain, 16% had unintentional weight loss, and 20% had intentional weight loss over the year before evaluation. Among frail candidates with obesity, stable weight was associated with a 27% lower chance of listing (adjusted hazard ratio [aHR], 0.73; 95% confidence intervals [CI], 0.55 to 0.96), weight gain with a 47% lower chance of listing (aHR, 0.53; 95% CI, 0.34 to 0.80), and unintentional weight loss with a 48% lower chance of listing (aHR, 0.52; 95% CI, 0.32 to 0.84) compared with nonfrail candidates with stable weight. However, in frail candidates with obesity, intentional weight loss was not associated with a significantly lower chance of listing compared with nonfrail candidates with stable weight. In addition, among frail candidates with obesity, stable weight (adjusted subhazard ratio [aSHR], 1.72; 95% CI, 1.01 to 2.90), unintentional weight loss (aSHR, 2.78; 95% CI, 1.23 to 6.27), and intentional weight loss (aSHR, 2.26; 95% CI, 1.05 to 4.85) were associated with higher waitlist mortality compared with nonfrail candidates with stable weight. Among nonfrail candidates, no associations were observed for weight change and frailty status with either chance of listing or waitlist mortality. CONCLUSIONS:Among frail candidates with obesity, unintentional pre-KT weight loss is associated with a lower chance of listing; however, any weight loss is associated with higher waitlist mortality. Our findings suggest that frail candidates with obesity may benefit from clinician supervision of pre-KT weight loss.

INTRODUCTION/BACKGROUND:Some living organ donors will decide to donate again at a later date. Evidence has indicated that this practice may have increased in recent years. We evaluated the incidence and outcomes of this practice to inform counseling of potential repeat donors. METHODS:Using SRTR data from 1994 to 2023, we identified 220 repeat living donors and their 415 recipients. We constructed donor comparison groups using weighting by the odds. We described clinical and lab results at 6 months, 1 year, and 2 years post-donation separately for kidney-second donors and liver-second donors. We compared all-cause graft failure for their recipients with those of comparison donors. RESULTS:The annual count of repeat living donors increased from 5 in 2018 to 25 in 2019 (p < 0.001). Of 220 donors, 159 were liver-second donors (72.3%) and 55 were kidney-second donors (25.0). The percentage of nondirected donations increased from 30.5% at first donation to 53.2% at second donation (p < 0.001). Liver-second donors had one death approximately 2.5 years post-donation. Seventeen were re-admitted and 20 experienced complications requiring an interventional procedure or re-operation. Among kidney-second donors, no deaths, re-admissions, or post-donation complications were reported. Post-donation outcomes in both groups were comparable when evaluated against organ-specific comparison donors. Recipients of repeat living donors experienced graft survival similar to recipients of comparison donors. CONCLUSIONS:Repeat living donation may be a safe practice for carefully selected living donors in the short term; however, long term safety is unknown. Outcomes for recipients are similar to recipients of comparison donors.

The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development. We find that replacement of just 0.001% of training tokens with medical misinformation results in harmful models more likely to propagate medical errors. Furthermore, we discover that corrupted models match the performance of their corruption-free counterparts on open-source benchmarks routinely used to evaluate medical LLMs. Using biomedical knowledge graphs to screen medical LLM outputs, we propose a harm mitigation strategy that captures 91.9% of harmful content (F1 = 85.7%). Our algorithm provides a unique method to validate stochastically generated LLM outputs against hard-coded relationships in knowledge graphs. In view of current calls for improved data provenance and transparent LLM development, we hope to raise awareness of emergent risks from LLMs trained indiscriminately on web-scraped data, particularly in healthcare where misinformation can potentially compromise patient safety.

Solid organ transplant recipients (SOTRs) suffer more frequent and more severe infections due to their compromised immune responses resulting from immunosuppressive treatments designed to prevent organ rejection. Pharmacological immunosuppression can adversely affect immune responses to vaccination. A cohort of kidney transplant recipients (KTRs) received their third dose of ancestral, monovalent COVID-19 vaccine in the context of a clinical trial and antibody responses to the vaccine strain, as well as two Omicron variants BA.1 and BA.5 were investigated and compared with healthy controls who also received a third dose of mRNA vaccine (HCs). Total IgG and live virus neutralizing antibody titers were reduced in KTRs compared with controls for all variants. KTRs displayed altered IgG subclass switching, with significantly lower IgG3 antibodies. Responses in KTRs were also very heterogeneous, with some individuals showing strong responses but a significant number showing no Omicron-specific neutralizing antibodies. Taken together, immune responses after COVID-19 vaccination in KTRs were not only lower than HCs but highly variable, indicating that simply increasing the number of vaccine doses alone may not be sufficient to provide greater protection in this population. These findings underscore the need for tailored vaccination strategies for immunosuppressed populations, such as KTRs. Alternative formulations and doses of COVID-19 vaccines should be considered for people with severely compromised immune systems, as more frequent vaccinations may not significantly improve the response, especially regarding neutralizing antibodies.IMPORTANCEThis study addresses the challenges faced by kidney transplant recipients (KTRs) in mounting effective immune responses against COVID-19. By evaluating the antibody responses to a third dose of monovalent mRNA COVID-19 vaccine and its effectiveness against Omicron subvariants (BA.1 and BA.5), this study reveals significant reductions in both binding and neutralizing antibodies in KTRs compared with healthy controls. The research highlights altered IgG subclass switching and heterogeneous responses within the KTR population. Reduced recognition of variants, coupled with differences in IgG subclasses, decreases both the quality and quantity of protective antibodies after vaccination in KTRs. These findings underscore the need for tailored vaccination strategies for immunosuppressed populations, such as KTRs. Alternative formulations and doses of COVID-19 vaccines should be considered for people with severely compromised immune systems, as more frequent vaccinations may not significantly improve the response, especially regarding neutralizing antibodies.

Human leukocyte antigen-level matching in US kidney allocation has been deemphasized due to its role in elevating racial disparities. Molecular matching based on eplets might improve risk stratification compared to antigen matching, but the magnitude of racial disparities in molecular matching is not known. To assign eplets unambiguously, we utilized a cohort of 5193 individuals with high-resolution allele-level human leukocyte antigen genotypes from the National Kidney Registry. Using repeated random sampling to simulate donor-recipient genotype pairings based on the ethnic composition of the historical US deceased-donor pool, we profiled the percentage of well-matched donors available for candidates by ethnicity. The prevalence of well-matched donors with 0-DR/DQ eplet mismatch was 3-fold less racially disparate for Black and Asian candidates and 2-fold less for Latino candidates compared to 0-ABDR antigen mismatches. Compared to 0-DR antigen mismatch, 0-DR eplet mismatch was 1.33-fold more racially disparate for Asian and 1.28-fold more for Latino, with similar disparity for Black candidates, whereas 0-DQ eplet mismatch reduced disparities, showing 1.26-fold less disparity for Black, 1.14-fold less for Latino, but 1.26-fold higher for Asian candidates. The prevalence of well-matched donors for candidates of different ethnicities varied according to which molecules were chosen to define a low-risk match.

PURPOSE/OBJECTIVE:In October 2018, the OPTN changed adult heart transplant (HT) allocation policy, increasing the number of adult candidates that had higher priority than pediatric candidates, potentially disadvantaging pediatric waitlist registrants. METHODS:To understand the impact of this policy change, we used SRTR data to identify 1469 pre-policy (7/2016-9/2018) and 2901 (10/2018-12/2022) post-policy pediatric (< 18 years) HT registrants. We quantified mortality and transplant risks using weighted cause-specific hazard models, and then using weighted competing risks regression. We further stratified these analyses by age to understand risks for those in direct competition with adults for organs (≥ 12 years). RESULTS:, p = 0.02). Post policy, 1-year transplant rate did not change in those < 12years (68.2%-71.0%, p = 0.77), but in those ≥ 12years, transplant rate increased (77.3%-81.0%, p = 0.003). CONCLUSIONS:Mortality on the waitlist decreased and access to HT for pediatric registrants did not decline following the 2018 policy change. The decreased mortality rate may reflect changes in patient casemix and/or improved patient care. Continued surveillance is important in ensuring equity in pediatric, and adult, HT.

BACKGROUND:Highly effective modulator therapies (HEMT) including ivacaftor (IVA) and elexacaftor/tezacaftor/ivacaftor (ETI) have transformed treatment for people with cystic fibrosis (pwCF). However, non-HEMT-responsive mutations are more common in pwCF of non-White race/ethnicity; introduction of HEMT might have exacerbated racial/ethnic disparities in CF care. METHODS:Using the Scientific Registry of Transplant Recipients, we identified all lung transplant candidates and recipients 05/2005-12/2022 and categorized them by diagnosis (CF/non-CF), race/ethnicity (non-Hispanic White/Black/Hispanic) and era [Pre-HEMT (2005-1/30/2012), IVA (1/31/2012-10/30/2019), ETI (10/31/2019-12/31/2022)]. We compared the percentage of patients listed, delisted/died, or transplanted by race/ethnicity and era. RESULTS:34,659 lung transplants were performed: 10,521 pre-HEMT, 15,944 in IVA era, and 7,888 in ETI era. Over the three eras, the percentage of lung recipients with CF of White race decreased (94.5 % to 92.4 % to 78.4 %) and of Black race (1.7 % to 2.4 % to 5.7 %) or Hispanic ethnicity increased (3.5 % to 4.6 % to 14.2 %; p < 0.001). Similarly, among candidates listed for CF over the three eras, the percentage that were of White race decreased (82.0 % vs. 78.6 % vs. 71.0 %) and of Black race (9.2 % vs. 10.0 % vs. 10.3 %) or Hispanic ethnicity increased (6.4 % vs. 8.6 % vs. 13.6 %; p < 0.001). CONCLUSION/CONCLUSIONS:The introduction of HEMT appears to have benefitted CF lung transplant candidates and recipients of Black race or Hispanic ethnicity less than those of White race. This is likely due to the higher prevalence of HEMT-ineligible CFTR mutations among Black and Hispanic patients and underscores the need for therapies aimed at non-HEMT-responsive mutations prevalent in these racial/ethnic populations.