Faculty Bibliography

RATIONALE & OBJECTIVE/OBJECTIVE:Despite substantial growth in the population of older adults with kidney disease, there remains a lack of evidence to guide clinical care for this group. The Kidney Disease and Aging Research Collaborative (KDARC) conducted a Delphi study to build consensus on research priorities for clinical geriatric nephrology. STUDY DESIGN/METHODS:Asynchronous modified Delphi study. SETTING & PARTICIPANTS/METHODS:Clinicians and researchers in the US and Canada with clinical experience and/or research expertise in geriatric nephrology. OUTCOME/RESULTS:Research priorities in geriatric nephrology. ANALYTICAL APPROACH/METHODS:In the first Delphi round, participants submitted free-text descriptions of research priorities considered important for improving the clinical care of older adults with kidney disease. Delphi moderators used inductive content analysis to group concepts into categories. In the second and third rounds, participants iteratively reviewed topics, selected their top 5 priorities, and offered comments used to revise categories. RESULTS:Among 121 who were invited, 57 participants (47%) completed the first Delphi round and 48 (84% of enrolled participants) completed all rounds. After 3 rounds, the 5 priorities with the highest proportion of agreement were: 1) Communication and Decision-Making about Treatment Options for Older Adults with Kidney Failure (69% agreement), 2) Quality of Life, Symptom Management, and Palliative Care (67%), 3) Frailty and Physical Function (54%), 4) Tailoring Therapies for Kidney Disease to Specific Needs of Older Adults (42%), and 5) Caregiver and Social Support (35%). Health equity and person-centricity were identified as cross-cutting features that informed all topics. LIMITATIONS/CONCLUSIONS:Relatively low response rate and limited participation by private practitioners and older clinicians and researchers. CONCLUSIONS:Experts in geriatric nephrology identified clinical research priorities with the greatest potential to improve care for older adults with kidney disease. These findings provide a roadmap for the geriatric nephrology community to harmonize and maximize the impact of research efforts.

BACKGROUND:Despite excellent outcomes of heart transplants from hepatitis C virus (HCV)-positive donors (D+), many candidates are not listed to even consider HCV D+ offers. METHODS:Using the Scientific Registry of Transplant Recipients, we identified adult (age ≥18 years) heart transplant candidates prevalent on the waitlist between 2018 and March 2023. We compared the likelihood of waitlist mortality or heart transplant by candidate willingness to consider HCV D+ offers using competing risk regression. RESULTS:We identified 19,415 heart transplant candidates, 68.9% of whom were willing to consider HCV D+ offers. Candidates willing to consider HCV D+ offers had a 37% lower risk of waitlist mortality (subhazard ratio [SHR], 0.63; 95% confidence interval [CI], 0.56-0.70; P < .001) than candidates not willing to consider HCV D+ offers, after adjustment for covariates and center-level clustering. Over the same period, heart transplant candidates willing to consider HCV D+ offers had a 21% higher likelihood of receiving a transplant (SHR, 1.21; 95% CI, 1.7-1.26; P < .001). As a result, among candidates willing to consider HCV D+ offers, 74.9% received a transplant and 6.1% died/deteriorated after 3 years, compared to 68.3% and 9.1%, respectively, of candidates not willing to consider HCV D+ offers. Lower waitlist mortality also was observed on subgroup analyses of candidates on temporary and durable mechanical circulatory support. CONCLUSIONS:Willingness to consider HCV D+ heart offers was associated with a 37% lower risk of waitlist mortality and a 21% higher likelihood of receiving a transplant. We urge providers to encourage candidates to list as being willing to consider offers from donors with hepatitis C to optimize their waitlist outcomes and access to transplantation.

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.

Solid organ transplant recipients (SOTRs) have heightened risk of adverse COVID-19 outcomes due to immunosuppression and medical comorbidity. We quantified the burden of COVID-19 mortality in US SOTRs. A sample of deaths documented in the US solid organ transplant registry from June 2020 through December 2022 were linked to the National Death Index to identify COVID-19 deaths and weighted to represent all SOTR deaths during the study period. Among 505,757 SOTRs, 57,575 deaths occurred and based on the linkage, 12,396 (21.5%) were due to COVID-19. COVID-19 mortality was higher in males (mortality rate ratio [MRR]: 1.13), SOTRs aged 65 and older (MRR: 1.50 in ages 65-74 vs. ages 55-64), and non-Hispanic Black and Hispanic SOTRs (MRRs: 1.55 and 1.79 vs. non-Hispanic White SOTRs). Kidney and lung recipients had the highest COVID-19 mortality, followed by heart, then liver recipients. COVID-19 mortality also varied over time and across US states. Overall, SOTRs had 7-fold increased risk of COVID-19 death compared to the US general population. SOTRs comprised 0.13% of the US population but accounted for 1.46% of all US COVID-19 deaths. SOTRs experience greatly elevated COVID-19 mortality. Clinicians should continue to prioritize COVID-19 prevention and treatment in this high-risk population.

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.

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.

Graft failure and recipient death with functioning graft are important competing outcomes after kidney transplantation. Risk prediction models typically censor for the competing outcome thereby overestimating the cumulative incidence. The magnitude of this overestimation is not well described in real-world transplant data. This retrospective cohort study analyzed data from the European Collaborative Transplant Study (n = 125 250) and from the American Scientific Registry of Transplant Recipients (n = 190 258). Separate cause-specific hazard models using donor and recipient age as continuous predictors were developed for graft failure and recipient death. The hazard of graft failure increased quadratically with increasing donor age and decreased decaying with increasing recipient age. The hazard of recipient death increased linearly with increasing donor and recipient age. The cumulative incidence overestimation due to competing risk-censoring was largest in high-risk populations for both outcomes (old donors/recipients), sometimes amounting to 8.4 and 18.8 percentage points for graft failure and recipient death, respectively. In our illustrative model for posttransplant risk prediction, the absolute risk of graft failure and death is overestimated when censoring for the competing event, mainly in older donors and recipients. Prediction models for absolute risks should treat graft failure and death as competing events.

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.