Jadlowiec, Caroline

Introduction Advancements in transplant care have led to an increasing number of women with solid organ transplantation (SOT) living through peri- and postmenopause. Menopause can significantly impact quality of life, and the added burden of SOT may exacerbate symptoms. Few studies have evaluated the menopausal experience in this population, and existing data rarely use validated questionnaires. Research Question This study aimed to characterize menopausal symptoms and menopausal hormone therapy (MHT) use in peri- and postmenopausal SOT recipients using validated measures. Design A cross-sectional survey study of female patients ≥18 years who underwent SOT between 2018 and 2023 was conducted at a tertiary transplant center. A reproductive and sexual health questionnaire incorporating validated instruments, including the Menopause Rating Scale (MRS), was administered. Results Among peri- and postmenopausal SOT recipients ( n = 192), 8.9% reported use of MHT. The median MRS total score was 8.0, consistent with mild-to-moderate symptom severity overall. Symptom severity differed by menopausal status for vasomotor symptoms ( P =.03), sleep disturbances ( P = .04), depressive mood ( P = .04), and anxiety ( P <.001), with perimenopausal participants generally reporting more symptoms in these domains than postmenopausal participants. Despite these differences, overall symptom severity remained mild to moderate in both groups. Conclusion Menopausal symptoms among female SOT recipients are common but generally mild to moderate, with low utilization of MHT. The lack of increased vasomotor burden compared to prior literature may reflect under-recognition or misattribution of symptoms to transplant-related factors. Incorporating menopause-specific screening into transplant care may improve symptom recognition, quality of life, and long-term health outcomes.

ABSTRACT Predicting delayed graft function (DGF) relies on donor, recipient, and perioperative factors. Despite the growing recognition that DGF duration strongly influences patient outcomes, no models currently address or predict its impact—highlighting an important gap in current research and clinical practice. This study aimed to develop an ensemble‐based machine learning model using perioperative data to predict DGF occurrence and duration. The gradient‐boosted decision trees model was trained and validated on 2725 patients, with k‐fold cross‐validation in an external cohort of 284 patients. Model performance was evaluated based on accuracy, ROC‐AUC, and other metrics using R and Python libraries. The binary DGF prediction model achieved a ROC‐AUC of 0.77, while the DGF duration classification model had an accuracy of 79.2%. DGF duration AUC values by time interval were 0.76 for 0–1 weeks, 0.81 for >1–2 weeks, 0.80 for >2–3 weeks, and 0.87 for >3 weeks; the overall macro‐averaged AUC was 0.81. The mean Brier score for multi‐class predictions was 0.14. External validation showed a 78% accuracy for DGF duration prediction. Acute kidney injury (AKI) and donor donation after circulatory death (DCD) status were key DGF predictors. The use of gradient‐boosted decision trees (GBDT) improves the prediction of both the likelihood and duration of DGF, addressing a current gap in kidney transplant patient care. By facilitating personalized transplant care, this model supports more effective perioperative planning and timely interventions, which may contribute to better patient outcomes.

Obesity is increasingly prevalent among living kidney donor candidates, presenting complex clinical, ethical, and logistical challenges. Although obesity is linked to increased post-donation hypertension, diabetes, proteinuria, and chronic kidney disease, the overall absolute risks are modest and may differ depending on metabolic health and patterns of fat distribution. Current reliance on body mass index alone fails to capture the full spectrum of obesity-related risks, leading to inconsistent donor selection practices and potential inequities. This review examines the pathophysiological mechanisms of obesity-related kidney injury and available evidence on comorbidities and postdonation outcomes related to obesity. We discuss tools for better risk stratification, such as imaging-based adiposity assessment and personalized weight management strategies, and note that some risks may remain after weight loss. Barriers such as rigid body mass index cutoffs, limited access to treatment, and lack of long-term follow-up exacerbate disparities in access to donation. We argue for a shift toward individualized, risk-based evaluation supported by multidisciplinary care. We underscore the importance of donor counseling and advocate for a comprehensive, rather than paternalistic approach to living kidney donor selection. Advancing safe and equitable living donation in the context of rising obesity rates will necessitate revised guidelines, improved access to treatment, and an ongoing commitment to donor well-being.

ABSTRACT Background Ureteral stents are commonly placed during kidney transplantation (KT) to mitigate urologic complications. The objective of this study was to compare clinical outcomes in KT recipients with either early stent removal when attached to the Foley catheter or late removal via cystoscopy when unattached. Methods We conducted a multi‐center retrospective analysis of consecutive living donor KT patients (8/18/21‐4/21/23) stratified into Foley‐attached and unattached stent groups. Outcomes assessed were ureteral stricture, urine leaks, UTIs at 90 days and allograft failure and BKV DNAemia (BK virus DNAemia) at 1 year. Data are reported as mean and standard deviation. Results Among 247 patients with attached and 260 with unattached stents, baseline demographics (age, sex, diabetes) were similar between groups. There was a difference in race (87.9% vs. 77.8% Caucasian; p = 0.004). Foley catheters remained longer in the attached group (3.7 ± 1.8 vs. 3.0 ± 2.0 days; p < 0.001), but stents were removed earlier (3.7 ± 1.8 vs. 21.9 ± 4.7 days; p < 0.001). Comparing attached versus unattached, there were no differences in ureteral stricture (0.4% vs. 1.5%; p = 0.197), urine leak (0.8% vs. 0.4%; p = 0.533), BKV DNAemia (17.7% vs. 16.9%; p = 0.616), or allograft failure (0% vs. 0.8%; p = 0.167). However, UTI incidence by 90 days was lower in the attached group (5.7% vs. 11.9% p = 0.013). Induction therapy differed significantly between groups, with Alemtuzumab more common in the unattached group (58.1% vs. 19.4%, p < 0.001), Basiliximab more common in the attached group (43.3% vs. 35.0%, p < 0.001), and Thymoglobulin more common in the attached group (36.0% vs. 6.9%, p < 0.001). Baseline steroid use was higher in the unattached group (81.9% vs. 57.9%, p < 0.001). Conclusion Early stent removal via connection to the Foley catheter had similarly low rates of ureteral complications while reducing urinary tract infections and avoiding cystoscopic removal.

Despite improvements in kidney transplantation rates, the shortage of donor kidneys remains a critical issue, exacerbated by non-utilization of recovered kidneys due to quality concerns, necessitating advancements in perfusion methods to enhance graft outcomes and usage. Although static cold storage remains the default standard for kidney preservation, newer methods like hypothermic machine perfusion have shown improved outcomes, including reduced delayed graft function and better survival rates. Hypothermic oxygenated machine perfusion and normothermic machine perfusion offer some potential clinical benefits but studies to date have demonstrated mixed results. In the United States, LifePort and the XVIVO’s Kidney Assist Transport are the most popular hypothermic perfusion devices, with NMP devices mostly in trials. Combining perfusion with biomarkers such as mitochondrial flavin mononucleotide, neutrophil gelatinase-associated lipocalin, and osteopontin shows promise in assessing kidney viability and predicting post-transplant outcomes, though further research is also needed. Emphasis on repair biomarkers, such as uromodulin and osteopontin, aims to better predict graft outcomes and develop new therapies. While notable advancements have been made in the use of machine perfusion and viability testing for liver transplantation, additional research with larger sample sizes is essential to substantiate these results and enhance kidney transplantation outcomes.

ABSTRACT Introduction Donation after circulatory death (DCD) allografts are underutilized in liver transplantation (LT) due to increased risk of complications. These risks stem from ischemic injury sustained during the total donor warm ischemia time (tDWIT), historically limited to 30 min. Normothermic machine perfusion (NMP) can mitigate these risks and facilitate LT of DCD grafts with extended tDWIT. We aimed to compare outcomes of DCD allografts with extended tDWIT preserved on NMP versus static cold storage (SCS). Methods This single‐center study included adult DCD LT with tDWIT ≥ 30 from 2019 to 2023. Outcomes of NMP and SCS were compared including EAD, IC, graft survival, and patient survival. Results Among 68 DCD LT with tDWIT ≥ 30, 64.7% ( n = 44) were preserved with NMP and 35.3% ( n = 24) with SCS. No differences in donor or recipient demographics were observed. The median tDWIT was 33 min for NMP and 30.5 min for SCS ( p < 0.01). Despite longer tDWIT, the NMP group had lower rates of EAD (4.5% vs. 66.7%, p < 0.01) and IC (2.3% vs. 29.2%, p < 0.01). One‐year graft survival was higher in NMP ( p < 0.01), and 1‐year patient survival was comparable between groups ( p = 0.18). Conclusion NMP challenges traditional tDWIT constraints and can increase the pool of viable DCD allografts for transplantation.

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.

The use of normothermic machine perfusion (NMP) over static cold storage in liver transplantation has been shown to reduce posttransplant risks of early allograft dysfunction, primary nonfunction, and ischemic cholangiopathy, and its increasing use has played a role in the expanded utilization of marginal livers. While studies have demonstrated improved clinical outcomes using NMP over static cold storage preservation, real-time intraoperative data reflecting the quality and viability of NMP livers is limited. This retrospective, single-center study compared NMP versus static cold storage livers in first-time recipients of liver transplants through the evaluation of synthetic coagulation function as measured by thromboelastography and conventional coagulation testing. Secondarily, transfusion utilization between the 2 cohorts was reviewed. One hundred eighty-six recipients of liver transplants receiving allografts from donors after circulatory death were included in the study, of which 99 (53%) allografts were preserved in static cold storage, and 87 (47%) allografts were placed on the TransMedics Organ Care System. Study findings showed NMP livers supported with the TransMedics Organ Care System were associated with increased synthetic coagulation function and less excess fibrinolysis in the postreperfusion period compared to static cold storage livers, and that these findings were better reflected in real-time with thromboelastography monitoring versus conventional coagulation testing. Following reperfusion, there was a significant decrease in the transfusion of blood products in the NMP group compared with that in the static cold storage group. Overall, we determined that the use of intraoperative thromboelastography can provide real-time data to assess one aspect of reperfusion liver quality and viability.

ABSTRACTBackgroundDespite many people awaiting kidney transplant, kidney allografts from acute kidney injury (AKI) donors continue to be underutilized. We aimed to cluster kidney transplant recipients of AKI kidney allografts using an unsupervised machine learning (ML) approach.MethodsUsing Organ Procurement and Transplantation Network–United Network for Organ Sharing (OPTN/UNOS) data, a consensus clustering cohort analysis was performed in 12 356 deceased donor kidney transplant recipients between 2015 and 2019 in whom donors had a terminal serum creatinine ≥1.5 mg/dL. Significant cluster characteristics were determined, and outcomes were compared.ResultsThe median donor terminal creatinine was 2.2 (interquartile range [IQR] 1.7–3.3) mg/dL. Cluster analysis was performed on 12 356 AKI kidney recipients, and three clinically distinct clusters were identified. Young, sensitized kidney re‐transplant patients characterized Cluster 1. Cluster 2 was characterized by first‐time kidney transplant patients with hypertensive and diabetic kidney diseases. Older diabetic recipients characterized Cluster 3. Clusters 1 and 2 donors were young and met standard kidney donor profile index (KDPI) criteria; Cluster 3 donors were older, more likely to have hypertension or diabetes, and meet high KDPI criteria. Cluster 1 had a higher risk of acute rejection, 3‐year patient death, and graft failure. Cluster 3 had a higher risk of death‐censored graft failure, patient death, and graft failure at 1 and 3 years. Cluster 2 had the best patient‐, graft‐, and death‐censored graft survival at 1 and 3 years. Compared to non‐AKI kidney recipients, the AKI clusters showed a higher incidence of delayed graft function (DGF, AKI: 43.2%, 41.7%, 45.3% vs. non‐AKI: 25.5%); however, there were comparable long‐term outcomes specific to death‐censored graft survival (AKI: 93.6%, 93.4%, 90.4% vs. non‐AKI: 92.3%), patient survival (AKI: 89.1%, 93.2%, 84.2% vs. non‐AKI: 91.2%), and overall graft survival (AKI: 84.7%, 88.2%, 79.0% vs. non‐AKI: 86.0%).ConclusionsIn this unsupervised ML approach study, AKI recipient clusters demonstrated differing, but good clinical outcomes, suggesting opportunities for transplant centers to incrementally increase kidney utilization from AKI donors.