Faculty Bibliography

INTRODUCTION/UNASSIGNED:Uremic toxins contributing to increased risk of death remain largely unknown. We used untargeted metabolomics to identify plasma metabolites associated with mortality in patients receiving maintenance hemodialysis. METHODS/UNASSIGNED:We measured metabolites in serum samples from 522 Longitudinal US/Canada Incident Dialysis (LUCID) study participants. We assessed the association between metabolites and 1-year mortality, adjusting for age, sex, race, cardiovascular disease, diabetes, body mass index, serum albumin, Kt/Vurea, dialysis duration, and country. We modeled these associations using limma, a metabolite-wise linear model with empirical Bayesian inference, and 2 machine learning (ML) models: Least absolute shrinkage and selection operator (LASSO) and random forest (RF). We accounted for multiple testing using a false discovery rate (pFDR) adjustment. We defined significant mortality-metabolite associations as pFDR < 0.1 in the limma model and metabolites of at least medium importance in both ML models. RESULTS/UNASSIGNED:limma. CONCLUSION/UNASSIGNED:Quinolinate and mesaconate were significantly associated with a 1-year risk of death in incident patients receiving maintenance hemodialysis. External validation of our findings is needed.

BACKGROUND:The number of deceased donor kidney transplants has been increasing and is at a record high, yet nonuse of kidneys recovered for transplantation has risen to 25.8% following circular kidney allocation system based on 250-nautical-mile circles implemented on March 15, 2021 (KAS250). METHODS:Using Scientific Registry of Transplant Recipients data, we studied all deceased donor kidneys recovered for transplant from March 15, 2019, to January 31, 2023. We calculated the association of multiple factors with kidney nonuse, including increasing recovery of kidneys from nonideal donors, delays in offer acceptance observed under KAS250, and impacts of COVID-19. RESULTS:In the 2 y before KAS250, the nonuse rate was 21.2%. Had this rate continued, 2334 more kidneys would have been transplanted through January 2023. We estimated that about 769 of these nonused kidneys (33%) were associated with offer acceptance delays under KAS250; about 994 of these nonused kidneys (43%) were associated with increased prevalence of nonideal donors: donation after circulatory death donors, older donors, and donors with elevated peak serum creatinine; and about 542 of these nonused kidneys (23%) were associated with an otherwise unexplained gradual upward trend in nonuse of recovered kidneys across the pre-KAS250 and KAS250 eras. The overall impact of COVID-19 on the nonuse rate was not significant. CONCLUSIONS:The rise in kidney nonuse rate was significantly associated with both increased recovery of nonideal donors, and with KAS250 allocation complexity and delays. Increasing recovery of kidneys from nonideal donors benefits patients because recovering more kidneys increases the number of kidneys available for transplant.

Since 2021, the Organ Procurement and Transplantation Network has reported a nearly 10-fold rise in out-of-sequence (OOS) kidney allocation, generating concern and halting development of continuous distribution policies. We report contemporary (2022-2023) practice patterns in OOS allocation using Organ Procurement and Transplantation Network data. We examined in sequence vs OOS donors with multivariable logistic regression and skipped vs OOS-accepting recipients with conditional logistic regression. Nearly 20% of kidney placements were OOS, varying from 0% to 43% acsoss organ procurement organizations; the 5 highest OOS-organ procurement organizations accounted for 29% of all OOS. Of OOS kidneys, 33% were declined ≥100 times in the standard allocation sequence and 51% were declined by ≥10 centers before OOS allocation began; 4.5% were made without any in-sequence declines. Nearly, all OOS offers were open offers. OOS kidneys were more likely to be from female, Black, older, donation after cardiac death, hypertensive, diabetic, and elevated creatinine donors. Candidates receiving OOS kidneys were more likely female, Asian, and older than skipped candidates. Higher-volume centers and centers with more White, fewer Hispanic, and more educated waiting list patients underwent transplantation disproportionately with more OOS kidneys. These findings suggest that the current, highly variable, discretionary use of OOS might exacerbate disparities, yet the impact of OOS on organ utilization cannot be determined with data now collected.

BACKGROUND:Sarcopenia has been associated with adverse postoperative outcomes in older age cohorts, but has not been assessed in older adults with inflammatory bowel disease (IBD). Further, current assessments of sarcopenia among all aged individuals with IBD have used various measures of muscle mass as well as cutoffs to define its presence, leading to heterogeneous findings. METHODS:In this single-institution, multihospital retrospective study, we identified all patients aged 60 years and older with IBD who underwent disease-related intestinal resection between 2012 and 2022. Skeletal Muscle Index (SMI) and Total Psoas Index (TPI) were measured at the superior L3 endplate on preoperative computed tomography scans and compared through receiver operating characteristic curve. We then performed multivariable logistic regression to assess risk factors associated with an adverse 30-day postoperative outcome. Our primary outcome included a 30-day composite of postoperative mortality and complications, including infection, bleeding, cardiac event, cerebrovascular accident, acute kidney injury, venous thromboembolism, reoperation, all-cause rehospitalization, and need for intensive care unit-level care. RESULTS:A total of 120 individuals were included. Overall, 52% were female, 40% had ulcerative colitis, 60% had Crohn's disease, and median age at time of surgery was 70 years (interquartile range: 65-75). Forty percent of older adults had an adverse 30-day postoperative outcome, including infection (23%), readmission (17%), acute kidney injury (13%), bleeding (13%), intensive care unit admission (10%), cardiac event (8%), venous thromboembolism (7%), reoperation (6%), mortality (5%), and cerebrovascular accident (2%). When evaluating the predictive performance of SMI vs TPI for an adverse 30-day postoperative event, SMI had a significantly higher area under the curve of 0.66 (95% CI, 0.56-0.76) as compared to 0.58 (95% CI, 0.48-0.69) for TPI (P = .02). On multivariable logistic regression, prior IBD-related surgery (adjusted odds ratio [adjOR] 6.46, 95% CI, 1.85-22.51) and preoperative sepsis (adjOR 5.74, 95% CI, 1.36-24.17) significantly increased the odds of adverse postoperative outcomes, whereas increasing SMI was associated with a decreased risk of an adverse postoperative outcome (adjOR 0.88, 95% CI, 0.82-0.94). CONCLUSIONS:Sarcopenia, as measured by SMI, is associated with an increased risk of postoperative complications among older adults with IBD. Measurement of SMI from preoperative imaging can help risk stratify older adults with IBD undergoing intestinal resection.

BACKGROUND:As the inflammatory bowel disease (IBD) patient population is aging, the prevalence of polypharmacy is rising. However, data exploring the prevalence, risk factors, and clinical outcomes associated with polypharmacy among older adults with IBD are limited. AIMS/OBJECTIVE:To determine (i) prevalence of polypharmacy (≥5 medications) and potentially inappropriate medication (PIM) utilization in older adults with IBD, (ii) changes in medications over time (iii) predictors of polypharmacy, and (iv) the impact of polypharmacy/PIMs on one-year hospitalization rates. METHODS:We conducted a retrospective single-center study of older adults with IBD from September 1st 2011 to December 31st 2022. Wilcoxon-signed rank and McNemar's tests were used to assess changes in polypharmacy between visits, with ordinal logistic regression and Cox proportional hazards models used to determine risk factors for polypharmacy and time to hospitalization, respectively. RESULTS:Among 512 older adults with IBD, 74.0% experienced polypharmacy at initial visit, with 42.6% receiving at least one PIM. Additionally, severe polypharmacy (≥10 medications) was present among 28.6% individuals at index visit and increased to 38.6% by last visit (p<0.01). Multivariable analysis revealed that age ≥70 years, BMI ≥30.0 kg/m2, prior IBD-related surgery, and the presence of comorbidities were associated with polypharmacy. Moreover, severe polypharmacy (adjHR 1.95, 95%CI 1.29-2.92), as well as PIM use (adjHR 2.16, 95%CI 1.37-3.43) among those with polypharmacy, were significantly associated with all-cause hospitalization within a year of index visit. DISCUSSION/CONCLUSIONS:Severe polypharmacy was initially present in more than 25% of older adults with IBD and increased to 34% within 4 years of index visit. Severe polypharmacy, as well as PIM utilization among those with polypharmacy, were also associated with an increased risk of hospitalization at one-year, highlighting the need for deprescribing efforts in this population.

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.

INTRODUCTION/BACKGROUND:Transplants with hearts and lungs from donors with hepatitis C virus (HCV D+) have been proven safe and effective since development of direct-acting antivirals, yet the presence of HCV + persists as a reason to decline organs. METHODS:We identified adult candidates listed January 1, 2015-March 8, 2023 for heart or lung transplant using the Scientific Registry of Transplant Recipients. We identified individual-level and center-level characteristics associated with listing to consider HCV D+ offers using multilevel logistic regression in a multivariable framework. RESULTS:Over the study period, the annual percentage of candidates willing to consider HCV D+ offers increased for both heart (9.5%-74.3%) and lung (7.8%-59.5%), as did the percentage of centers listing candidates for HCV D+ heart (52.9%-91.1%) and lung (32.8%-82.8%) offers. Candidates at centers with more experience with HCV D+ transplants were more likely to consider HCV D+ organ offers. After adjustment, listing center explained 70% and 78% of the residual variance in willingness to consider HCV D+ hearts and lungs, respectively. CONCLUSIONS:Although listing for consideration of HCV D+ offers has increased, it varies by transplant center. Center-level barriers to consideration of HCV D+ organs reduce recipients' transplant access.

BACKGROUND:Since February 2020, exception points have been allocated equivalent to the median model for end-stage liver disease at transplant within 250 nautical miles of the transplant center (MMaT/250). We compared transplant rate and waitlist mortality for hepatocellular carcinoma (HCC) exception, non-HCC exception, and non-exception candidates to determine whether MMaT/250 advantages (or disadvantages) exception candidates. METHODS:Using Scientific Registry of Transplant Recipients data, we identified 23 686 adult, first-time, active, deceased donor liver transplant (DDLT) candidates between February 4, 2020, and February 3, 2022. We compared DDLT rates using Cox regression, and waitlist mortality/dropout using competing risks regression in non-exception versus HCC versus non-HCC candidates. RESULTS:Within 24 mo of study entry, 58.4% of non-exception candidates received DDLT, compared with 57.8% for HCC candidates and 70.5% for non-HCC candidates. After adjustment, HCC candidates had 27% lower DDLT rate (adjusted hazard ratio = 0.680.730.77) compared with non-exception candidates. However, waitlist mortality for HCC was comparable to non-exception candidates (adjusted subhazard ratio [asHR] = 0.931.031.15). Non-HCC candidates with pulmonary complications of cirrhosis or cholangiocarcinoma had substantially higher risk of waitlist mortality compared with non-exception candidates (asHR = 1.271.702.29 for pulmonary complications of cirrhosis, 1.352.043.07 for cholangiocarcinoma). The same was not true of non-HCC candidates with exceptions for other reasons (asHR = 0.540.881.44). CONCLUSIONS:Under MMaT/250, HCC, and non-exception candidates have comparable risks of dying before receiving liver transplant, despite lower transplant rates for HCC. However, non-HCC candidates with pulmonary complications of cirrhosis or cholangiocarcinoma have substantially higher risk of dying before receiving liver transplant; these candidates may merit increased allocation priority.

BACKGROUND/UNASSIGNED:In initial COVID-19 clinical trials, menstrual health was not formally monitored, yet anecdotal reports of menstruation changes surfaced on social media. This study aims to assess the association between COVID-19 vaccines and menstruation using Clue, a period-tracking application. STUDY DESIGN/UNASSIGNED:-test compared the mean of these changes between vaccinated and unvaccinated groups. RESULTS/UNASSIGNED:Of 7,559 participants, 6,897 (91 %) were vaccinated. Compared to PRIOR, individuals vaccinated during their menstrual period demonstrated a statistically significant increase in the DURING period length, but not AFTER1 (p = 0.463) and AFTER2 (p = 0.692). No statistically significant changes were observed in period lengths of those vaccinated in between periods or in cycle lengths overall. CONCLUSION/UNASSIGNED:A small but statistically significant change in period length was observed only in individuals vaccinated for COVID-19 during their menstrual period. Providers can better counsel menstruating individuals to reduce vaccine misinformation.

OBJECTIVES/OBJECTIVE:Obesogenic medications are a putative contributor to the obesity epidemic. While 20% of adults take ≥1 obesogenic medication, the proportion in the end-stage kidney disease (ESKD) population-a group enriched for cardiometabolic complications-is unknown. Obesogenic medications may contribute to obesity and hamper weight loss efforts to achieve transplant listing. METHODS:Using 2017-2020 USRDS and Medicare claims, patients were identified as taking obesogenic medications if prescribed anticonvulsants, antidepressants, antidiabetics, anti-inflammatories, antipsychotics, and/or antihypertensives known to cause weight gain for ≥30 days in their first hemodialysis year. Ordinal logistic and Cox regression with inverse probability of treatment weighting were used to quantify obesogenic medications' association with body mass index (BMI) and listing, respectively. RESULTS:Among 271 401 hemodialysis initiates, 63.5% took ≥1 obesogenic medication. For those in underweight, normal weight, overweight, and class I, II, and III categories, 54.3%, 58.4%, 63.1%, 66.5%, 68.6%, and 68.8% took ≥1, respectively. Number of obesogenic medications was associated with increased BMI; use of one was associated with 13% increased odds of higher BMI (aOR [adjusted odds ratio] 1.14; 95%CI: 1.13-1.16; p < 0.001), use of three was associated with a 55% increase (aOR 1.55; 95%CI: 1.53-1.57; p < 0.001). Any use was associated with 6% lower odds of transplant listing (aHR [adjusted hazard ratio] 0.94; 95%CI: 0.92-0.96; p < 0.001). Within each BMI category, obesogenic medication use was associated with lower listing likelihood. CONCLUSIONS:Obesogenic medication use is common in ESKD patients-particularly those with obesity-and is associated with lower listing likelihood. Whenever possible, non-obesogenic alternatives should be chosen for ESKD patients attempting weight loss to achieve transplant listing.