Khamash, Hasan

Donation after circulatory death (DCD) liver transplants (LTs) are associated with increased risk of post-LT acute kidney injury (AKI). This retrospective study aimed to examine the effect of continuous normothermic machine perfusion (NMP) on the incidence and stage of AKI in DCD LT. The incidence of AKI within 48 hours was compared between 507 NMP-DCD and 472 static cold storage (SCS)-DCD LT transplanted between January 1, 2016, and December 31, 2024. AKI developed in 337 (34%) patients. On univariate analysis, AKI rate was lower in NMP-DCD compared with SCS-DCD (28% vs. 41%, p <0.001). Stages 2 and 3 AKI at 48 hours and renal replacement therapy (RRT) within the first 3 weeks were also lower in NMP-DCD compared with SCS-DCD ( p <0.001). After adjusting for multiple recipient, donor, and intraoperative factors using multivariate logistic regression, NMP-DCD was independently associated with a 37% lower odds of AKI (aOR: 0.63, CI: 0.46–0.85, p =0.003) and 55% lower odds of stages 2 and 3 AKI (aOR: 0.45, CI: 0.29–0.69, p <0.001) compared with SCS-DCD. To mitigate for the era effect and other unmeasured confounders, an inverse probability of treatment weighting (IPTW) analysis was performed using a propensity score model with average treatment effect (ATE). After weighting for multiple factors, NMP-DCD was associated with lower odds of AKI at 48 hours (OR: 0.65, CI: 0.53–0.81, p =0.001), stages 2 and 3 AKI at 48 hours (OR: 0.60, CI: 0.42–0.85, p =0.02), and RRT at day 7 (OR: 0.31, CI: 0.13–0.65, p =0.003) compared with SCS-DCD. In conclusion, compared with SCS-DCD, NMP-DCD was independently associated with lower odds of AKI at 48 hours, of stages 2 and 3 AKI at 48 hours from LT, and of RRT requirement at day 7 from LT, an effect that extended for the first 3 post-LT weeks.

ABSTRACTIntroductionThe incidence of mortality late in the pandemic, particularly after widespread vaccine availability, is not well understood. Herein, we elucidate the effect of this impact of the COVID pandemic as well as risk factors for mortality during it.MethodsThe primary end point was death with a functioning graft with secondary endpoints of mortality rates in subgroups and at different time intervals during the pandemic.ResultsDespite widespread vaccination, mortality rates for kidney transplant (KTx) recipients almost doubled during the COVID‐19 era (6.40 deaths per 100 person years vs. 3.54 pre‐COVID). Mortality increased in all racial/ethnic groups but increased more in Native Americans, Hispanics, and African Americans compared to non‐Hispanic Caucasians. The highest mortality rate occurred during the Delta and Omicron time frames. In contrast to the general population, mortality was more evenly spread across age groups in KTx recipients.ConclusionsMortality rates during the COVID‐19 era were extremely high, more than doubling in some racial/ethnic groups. We conclude that the KTx population was a particularly vulnerable group during the COVID‐19 era and suggests the need for further research into the management of variants in the future.

Abstract Background Lymphocytic choriomeningitis virus (LCMV) infection in immunocompromised hosts can result in disseminated disease, meningoencephalitis, and death. Published cases in transplant recipients have been traced to transmission from infected donors. We report 2 cases of serious, non–donor-derived LCMV infection in solid organ transplant recipients. Methods Initial identification of LCMV infection was done by using metagenomic next-generation sequencing (mNGS). Subsequent evaluations and confirmatory testing involved molecular diagnostics, serology, and phylogenetic analysis. A detailed epidemiologic investigation was conducted. Results LCMV was detected by mNGS in 2 solid organ transplant recipients from distinct donors. A heart transplant recipient (from donor 1) died of progressive, disseminated LCMV infection, while a kidney transplant recipient (from donor 2) with LCMV meningoencephalitis survived. A multistate laboratory and epidemiologic investigation of both donors and all their organ recipients was initiated. Postmortem samples were obtained from both donors, and pretransplant and/or posttransplant samples were obtained from 5 of the 6 organ recipients. mNGS, serologic, and real-time reverse-transcription polymerase chain reaction testing confirmed LCMV infection in both solid organ transplant recipients. Epidemiologic investigation revealed significant pretransplant rodent exposures for both LCMV-infected recipients. Laboratory studies for the other organ recipients from both donors were negative for LCMV infection. Conclusions Our investigations suggest that LCMV infection in 2 solid organ transplant recipients originated from rodent exposure preceding transplantation and were not donor derived. Although uncommon, healthcare providers should be aware of LCMV-associated serious and life-threatening illness in immunocompromised hosts. Diagnostic modalities are limited to reference laboratories.

ABSTRACTPurposeThis study aimed to assess whether kidney stone burden and risk factors at the time of kidney donor evaluation were associated with a symptomatic stone event post‐donor evaluation.MethodsWe identified adults evaluated at Mayo Clinic (two sites) (2000–2011) for living kidney donation and had either a personal history or radiological evidence of kidney stone disease. We analyzed demographics, stone risk factors, stone number/size, and the committee's donation decision and reasons. A follow‐up survey (2022–2023) assessed post‐evaluation symptomatic kidney stones and related morbidity.ResultsAmong 412 potential donors with kidney stone disease, 258 donated, 75 did not donate due to kidney stones, and 79 did not donate for other reasons. Multivariable analysis showed that candidates not donating due to stones had higher body mass index (BMI), prior symptomatic kidney stones, multiple stones on imaging, bilateral kidney stones, and diameter of largest stone ≥3 mm. Of 147 who completed the survey, 26 (18%) had a symptomatic kidney stone post‐donor evaluation. Younger age (p = 0.031) and multiple stones on imaging (p = 0.02) were significant predictors of post‐evaluation symptomatic stones regardless of donation status (p = 0.41).ConclusionsStone burden on imaging and prior symptomatic stone events were associated with not donating. Younger age and stone burden on imaging were the primary risk factors for a symptomatic kidney stone event after donor evaluation.

Background. Predicting long-term mortality postkidney transplantation (KT) using baseline clinical data presents significant challenges. This study aims to evaluate the predictive power of artificial intelligence (AI)-enabled analysis of preoperative electrocardiograms (ECGs) in forecasting long-term mortality following KT. Methods. We analyzed preoperative ECGs from KT recipients at three Mayo Clinic sites (Minnesota, Florida, and Arizona) between January 1, 2006, and July 30, 2021. The study involved 6 validated AI algorithms, each trained to predict future development of atrial fibrillation, aortic stenosis, low ejection fraction, hypertrophic cardiomyopathy, amyloid heart disease, and biological age. These algorithms’ outputs based on a single preoperative ECG were correlated with patient mortality data. Results. Among 6504 KT recipients included in the study, 1764 (27.1%) died within a median follow-up of 5.7 y (interquartile range: 3.00–9.29 y). All AI-ECG algorithms were independently associated with long-term all-cause mortality (P < 0.001). Notably, few patients had a clinical cardiac diagnosis at the time of transplant, indicating that AI-ECG scores were predictive even in asymptomatic patients. When adjusted for multiple clinical factors such as recipient age, diabetes, and pretransplant dialysis, AI algorithms for atrial fibrillation and aortic stenosis remained independently associated with long-term mortality. These algorithms also improved the C-statistic for predicting overall (C = 0.74) and cardiac-related deaths (C = 0.751). Conclusions. The findings suggest that AI-enabled preoperative ECG analysis can be a valuable tool in predicting long-term mortality following KT and could aid in identifying patients who may benefit from enhanced cardiac monitoring because of increased risk.

AbstractIntroductionExpedited out‐of‐sequence deceased donor kidney allocation is a strategy to avoid discards after early placement attempts have been unsuccessful. Our study aimed to assess outcomes and characteristics of these transplanted kidneys.MethodsKDPI matching was performed between expedited allocation (EA) and standard allocation (SA) deceased donor kidney transplants performed at our center.ResultsBetween 2018 and 2021, there were 225 EA offers, and 189 (84%) were transplanted. EA recipients were older (p = .007) and had shorter dialysis vintage (p < .0001). EA kidneys were likely to be nationally allocated (p < .001), have AKI (p < .0001) and longer CIT (p < .0001). There were no differences in EA and SA time‐zero kidney biopsies (ci, p = .07; ct, p = .89; cv, p = .95; ah, p = .79). EA kidneys had more DGF (p = .0006), but there were no differences in DGF duration (p = .83), hospital length of stay (p = .43), 1‐ and 2‐year eGFR (p = .16, p = .99), patient (p = .34), or death‐censored graft (p = .66) survival.ConclusionDuring this study period, our center transplanted 189 kidneys through EA following local‐regional declines. These kidneys often came from AKI donors and had more DGF but had similar outcomes to KDPI‐matched SA kidneys. Although it has been suggested that EA has the potential to worsen transplant disparities, transplant center level decisions on organ acceptance contribute to these variations.