Faculty Bibliography

BACKGROUND/UNASSIGNED:Preoperative opioid use (OU) is a strong risk factor for poor postoperative outcomes in other surgical populations but has not been explored in lung transplant (LT) recipients nationally. METHODS/UNASSIGNED:The study identified adult (aged ≥18 years) US lung transplant (LT) recipients from 2011 to 2021 in the Scientific Registry of Transplant Recipients with prescription data through a pharmacy data set. Posttransplantation ventilatory support, infection, and mortality by pretransplantation OU (prescription fill ≤6 months before transplantation) were compared using multivariable regression. RESULTS/UNASSIGNED: = .006). CONCLUSIONS/UNASSIGNED:Pretransplantation OU was the strongest independent risk factor for posttransplantation OU and was associated with greater morbidity and mortality. Reducing pretransplantation and posttransplantation OU could benefit LT recipients and should be explored.

BACKGROUND/UNASSIGNED:With the introduction of sirolimus as medical therapy for lymphangioleiomyomatosis (LAM), an updated evaluation of LAM lung transplant (LT) outcomes and characterization of peritransplant sirolimus use is needed. METHODS/UNASSIGNED:We identified adult LT recipients from 2005-2021 using the Scientific Registry of Transplant Recipients database and stratified by diagnosis (LAM vs other). Multivariable Cox regression was performed to calculate the adjusted hazard ratio for LAM vs other diagnoses. A pharmacy claims database was linked to provide sirolimus prescription information, and a subgroup analysis comparing outcomes with pre- vs posttransplant sirolimus use was performed. RESULTS/UNASSIGNED: = .003). CONCLUSIONS/UNASSIGNED:This study supports lung transplant as a treatment for severe pulmonary LAM and identifies increased mortality associated with pre-LT sirolimus, though this may be due to uncharacterized baseline differences.

BACKGROUND:Parents of pediatric heart transplant (HTx) recipients have a unique perspective on the challenges associated with the transition into adult care networks. We sought to assess parental perceptions of the challenges pediatric HTx recipients face daily and parental concerns around the transition from pediatric care networks. METHODS:A 15-item online survey was developed in partnership with parent-stakeholders and administered to parents of pediatric HTx recipients in September 2023. Closed and open-ended questions assessed (1) the patients' diagnosis, age at diagnosis, and age at transplant, (2) parents' daily concerns about their child's well-being, (3) parents' overall concerns about their child's well-being as they transition into adulthood, (4) parents' perceptions of their child's quality-of-life (QoL) and health, and (5) parents' demographic characteristics. RESULTS:Eighty-six parents completed the survey. On a scale of 1 (worst) to 10 (best), 75% of parents rated their child's overall QoL at 8 or higher and 76% rated their child's health-related QoL at 8 or higher. Parents' daily concerns about their child's well-being included infectious diseases, health behaviors and care management, transplant-related concerns, socialization and education, mental health, and care coordination. Concerns related to the transition into adulthood included health behaviors and self-management, life satisfaction, finances, family, transplant-related concerns, and care coordination. CONCLUSIONS:Although parents of pediatric HTx recipients reported mostly positive QoL outcomes, they have concerns related to care management, life satisfaction, and healthcare access as their children transition into adulthood. Comprehensive transition-specific interventions and guidelines are needed to support families during this high-risk period.

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 proportion of deceased donor kidneys recovered for transplantation that are not transplanted reached 28% in 2023. Past research demonstrated that >90% of the non-use rate increase in the 2000s could be explained by the broadening donor pool. We used OPTN data to study kidneys recovered 2010-2023, applying causal inference methods to assess the degree to which the recent, sharp rise in the non-use rate could be explained by changes in donor clinical characteristics. Unadjusted odds of kidney non-use were 63% higher (95% CI: 56%, 70%) in 2023 vs 2018. After adjusting for donor factors, odds of non-use were only 12% (9%, 15%) higher in 2023. Both regression and propensity weighting demonstrated that 75-80% of the recent non-use rate increase can be explained by a rapidly expanding donor pool. Encouragingly, the non-use rate has not increased and remains low for above-average quality kidneys. However, the unexplained risk of non-use for kidneys in the highest kidney donor risk index quartile increased by ∼30%, potentially due to residual confounding and/or system-level, exogenous factors such as allocation policy changes. To improve placement efficiency, allocation policy should adapt to the increasingly heterogeneous donor pool by allocating kidneys differently along the donor quality spectrum.

BACKGROUND:In the 2018 Organ Procurement and Transplantation Network donor heart allocation system, patients listed for re-transplantation due to cardiac allograft vasculopathy (CAV) are assigned to Status 4 unless hemodynamic criteria are met. We aim to examine waitlist outcomes of CAV patients among adult heart transplant candidates. METHODS:We examined waitlist mortality stratified by CAV and waitlist status among adult heart transplant candidates using Scientific Registry of Transplant Recipients data from 10/1/2018-11/1/2023. We analyzed waitlist mortality using Kaplan-Meier curves and doubly-robust Cox regressions adjusted for age, gender, sex, race, and dialysis. We compared CAV to non-CAV patients by initial waitlist status, first status of interest, and time-dependent status. RESULTS:Of 21,586 listed patients, 368 were listed for CAV. CAV patients were most often listed at Status 4 with lower proportions at Status 3/2/1 compared with non-CAV patients. Status 4 and Status 3 CAV candidates demonstrated higher than expected waitlist mortality compared to non-CAV counterparts (Status 4: HR 0.51, 95% CI 0.31-0.84; p < 0.01; Status 3: HR 0.61, 95% CI 0.23-1.64; p = 0.33) with similar mortality to non-CAV patients in Status 3 and 2, respectively (Status 4: HR 0.80, 95% CI 0.48-1.35; p = 0.4; Status 3: HR 1.07, 95% CI 0.40-2.86; p = 0.89). When stratifying by status tier, CAV waitlist patients ever listed at Status 4 and 3 had a higher probability of death compared to their non-CAV counterparts (Status 4: HR 1.99, 95% CI 1.20-3.31, p < 0.01; Status 3: HR 3.06, 95% CI 1.06-8.87, p = 0.04). CONCLUSIONS:After 2018, CAV patients had a higher risk of waitlist mortality at Status 4 and 3 compared to non-CAV patients. These results suggest that CAV patients are underprioritized in the current allocation system.

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.

Developing real-world evidence from electronic health records (EHR) is vital to advance kidney transplantation (KT). We assessed the feasibility of studying KT using the Epic Cosmos aggregated EHR dataset, which includes 274 million unique individuals cared for in 238 U.S. health systems, by comparing it with the Scientific Registry of Transplant Recipients (SRTR). We identified 69,418 KT recipients transplanted between January 2014 and December 2022 in Cosmos (39.4% of all US KT transplants during this period). Demographics and clinical characteristics of recipients captured in Cosmos were consistent with the overall SRTR cohort. Survival estimates were generally comparable, although there were some differences in long-term survival. At 7 years post-transplant, patient survival was 80.4% in Cosmos and 77.8% in SRTR. Multivariable Cox regression showed consistent associations between clinical factors and mortality in both cohorts, with minor discrepancies in the associations between death and both age and race. In summary, Cosmos provides a reliable platform for KT research, allowing EHR-level clinical granularity not available with either the transplant registry or healthcare claims. Consequently, Cosmos will enable novel analyses to improve our understanding of KT management on a national scale.