Mour, Girish

The Ajmera Transplant Center and Mayo Clinic hosted the third annual Transplant Artificial Intelligence (AI) Symposium in Toronto, Canada, bringing together expert clinicians, researchers, scientists, and trainees to discuss the current role of AI in transplant medicine. This paper summarizes the third annual Transplant AI Symposium proceedings and talks. Presentations covered a wide range of topics across the transplant continuum, highlighting numerous benefits of AI in transplantation such as organ matching, human-AI collaboration, and survival/risk prediction. Artificial intelligence is most useful when linked to specific clinical problems, especially those involving multimodal or longitudinal data. However, speakers also emphasized ongoing limitations in data quality, generalizability, workflow integration, and fairness. Multiple presentations highlighted the importance of clinician oversight. Overall, the symposium highlighted that the future of transplant AI will depend on careful validation, clinically meaningful implementation, and attention to patient outcomes ( Figure 1 ).

Delayed graft function (DGF) is a frequent complication after deceased donor kidney transplantation, yet its long-term impact remains understudied. Heterogeneous populations, short follow-up, and inadequate control of donor-related factors have limited prior studies. Using the Scientific Registry of Transplant Recipients (2005–2024), we evaluated the association between DGF and long-term graft outcomes, including a mate-kidney (same donor, discordant DGF status) analysis to isolate its independent effect. We identified 103,678 dialysis-dependent deceased donor kidney recipients maintained on tacrolimus and mycophenolate. Mixed-effects Cox models, adjusted for donor, recipient, immunologic, and procurement factors. DGF occurred in 30.1% of recipients and was associated with increased death-censored graft failure (HR 1.40; 95% CI 1.33–1.47) and overall graft failure (HR 1.27; 95% CI 1.23–1.31). DGF recipients had higher rejection rates at 6 (6.0% vs. 4.7%) and 12 months (8.9% vs. 7.3%), longer hospital stay, and higher 1-year rehospitalization. In the mate-kidney analysis (6,818 donors), DGF remained strongly associated with death-censored graft failure (HR 1.58; 95% CI 1.39–1.80) and overall graft failure (HR 1.35; 95% CI 1.25–1.46), confirming the independent effect of DGF. DGF is a strong predictor of adverse long-term outcomes irrespective of rejection and warrants targeted prevention strategies and intensified follow-up.

Key Points Atrial fibrillation after kidney transplantation is common and is associated with poor prognosis. Artificial intelligence applied to 12-lead electrocardiograms pretransplant accurately predicts the risk of new-onset atrial fibrillation in our cohort. High-risk artificial intelligence electrocardiography score was independently associated with increased risk of mortality and allograft failure. Background Incident atrial fibrillation (AF) is common after kidney transplantation (KTx) and is associated with worse clinical outcomes. Artificial intelligence electrocardiography (AI-ECG) algorithms have demonstrated efficacy in predicting risk of new-onset AF in the general population; however, their prognostic value in KTx recipients is relatively unknown. Methods Retrospective analysis was conducted on KTx recipients without AF, with at least one pretransplant ECG between 2011 and 2021 across three tertiary centers in the United States (Mayo Clinic sites in MN, AZ, and FL). A previously validated AI-ECG algorithm estimated the probability of incident AF for each patient. Based on AI-ECG probabilities, patients were categorized into high-risk and low-risk groups, with the optimal AI-ECG score cutoff determined. The incidence of new-onset AF, allograft failure, and mortality was compared between groups. Results Overall, 6246 patients (age 53.5±13.8 years; 58.9% male) were included. Pretransplant AI-ECG probability of AF ≥5% was the optimal cutoff for high risk of incident AF (sensitivity 72%, specificity 62%). High-risk scores were associated with true new-onset AF at 30 days (adjusted hazard ratio [aHR], 2.89; 95% confidence intervals [CI], 2.05 to 4.09; P < 0.001), 3 years (aHR, 2.54; 95% CI, 1.99 to 3.26, P < 0.001), and 5 years post-transplant (aHR, 2.48; 95% CI, 1.99 to 3.09, P < 0.001). High-risk AI-ECG scores were also associated with increased mortality (aHR, 1.56; 95% CI, 1.30 to 1.88, P < 0.001) and overall allograft failure (aHR, 1.50; 95% CI, 1.30 to 1.75, P < 0.001) through the 5-year follow-up. Conclusions This pretransplant AI-ECG parameter identified patients at increased risk of new-onset AF post-KTx and provided prognostic utility. Overall, this easy to obtain tool allows for risk stratification of patients who may benefit from closer monitoring, targeted risk factor modification, and early intervention.

Vaccination remains a cornerstone of infection prevention in adult solid organ transplant (SOT) recipients, a population at heightened risk for vaccine-preventable diseases due to chronic immunosuppression and comorbidities. Updated guidelines from the American Society of Transplantation Infectious Diseases Community of Practice (AST IDCOP) and other international bodies emphasize the need for timely and comprehensive vaccination strategies before and after transplantation. This review synthesizes current literature and practice guidelines on vaccination in adult solid organ transplant (SOT) candidates and recipients. Published peer-reviewed studies, clinical trials, and consensus guidelines were evaluated, with emphasis on vaccination timing, safety, immunogenicity, dosing strategies, and serologic response monitoring in the SOT population. Comprehensive vaccination planning before transplantation, combined with appropriate post-transplant booster strategies, remains vital to improving long-term outcomes in SOT recipients. This review provides clinicians with an updated, evidence-based framework for integrating evolving vaccination guidelines into the care of adult transplant patients.

Key Points Health care utilization rates in elderly kidney transplant were no different between the high kidney donor profile index and low kidney donor profile index group. Number of readmissions and surgical interventions in elderly kidney transplant was no different between the high kidney donor profile index and low kidney donor profile index group. Death censored graft loss was higher in the high kidney donor profile index group, whereas the patient survival was no different between the high kidney donor profile index and low kidney donor profile index groups. Background High kidney donor profile index (KDPI) kidneys (KDPI >85%) are often associated with increased risks of post-kidney transplant (KT) complications and greater health care utilization (HCU), particularly in elderly recipients with multiple comorbidities. These concerns frequently lead to underutilization of high KDPI kidneys in older transplant candidates, thereby limiting their access to transplantation despite potential clinical benefits. The aim of this study was to compare post-KT HCU between elderly recipients of high versus low KDPI deceased donor kidneys. The primary outcome included differences in hospital readmissions, surgical interventions, and outpatient service use at multiple post-transplant time points. Secondary outcome included graft function, graft survival, and patient survival. Methods A retrospective analysis of elderly solitary KT recipients (age ≥65 years) between January 1, 2011, and December 31, 2020. Patients were stratified into high KDPI (>85%, n =160) and low KDPI (≤85%, n =453) groups. We assessed inpatient and outpatient HCU, including readmissions at 30, 90, and 365 days post-transplant, surgical interventions, and outpatient visits (emergency department, transplant clinic, endocrine clinic, and ambulatory infusion units). Results There were no statistically significant differences between high and low KDPI groups in rates of hospital readmissions, surgical interventions, or outpatient visits (all P > 0.05). Delayed graft function rates were also similar ( P = 0.61). The low KDPI group had significantly higher eGFR at 4 months, 1, 2, and 3 years post-transplant (all P < 0.001). However, days alive and out of the hospital within 90 and 365 days post-transplant were comparable between the groups (all P > 0.05). Overall patient survival was similar ( P = 0.08), although death-censored graft loss was significantly higher in the high KDPI group ( P = 0.001). Conclusions Among elderly KT recipients, high KDPI kidney recipients had comparable post-transplant HCU and overall survival with those receiving low KDPI kidneys, despite lower long-term graft function. These findings suggest that high KDPI kidneys remain a viable option for older patients, offering timely access to transplantation.

Background. Delayed graft function (DGF) in deceased-donor kidney transplantation increases morbidity, prolongs hospitalization, and increases healthcare costs. Hypothermic machine perfusion (HMP) has emerged as a promising strategy to reduce DGF; however, large-scale real-world data remain limited. Methods. We performed a retrospective cohort analysis using the Scientific Registry of Transplant Recipients (2014–2024), including adult dialysis-dependent recipients of deceased-donor kidneys preserved using either static cold storage (SCS) or HMP. The primary outcome was DGF, defined as dialysis requirement within 7 d posttransplant. A matched-pairs analysis was conducted using kidneys from the same donor. Results. The overall cohort included 59 859 recipients (46.8% SCS, 53.2% HMP), with 2208 matched pairs identified. In the overall cohort, HMP grafts had longer cold ischemia times and a higher kidney donor risk index. They were more frequently obtained from older and donation after circulatory death donors. Although the overall DGF incidence was higher with HMP (34.4% versus 30.9%, P < 0.001), matched-pairs analysis revealed significantly lower DGF rates with HMP (29.8% versus 36.1%, P < 0.001). Adjusted analyses identified HMP as protective against DGF (overall cohort odds ratio, 0.71; 95% confidence interval, 0.66-0.78; paired cohort OR, 0.68; 95% CI, 0.50-0.93). Additional modifiable risk factors include prolonged cold ischemia time, higher recipient body mass index, and longer dialysis duration. Conclusions. This real-world study demonstrates that HMP is associated with a significant reduction in DGF risk in kidney transplantation compared with SCS, supporting its broader implementation and targeted management of modifiable risk factors.

The indications for immune checkpoint inhibitor (ICI) use in cancer treatment continue to expand. This is attributable to their proven anticancer activity in addition to their tolerability and favorable toxicity profile as compared to conventional chemotherapeutic agents. ICIs work by blocking the inhibitory signals between tumor cells and T-cells, thereby enhancing the T-cell cytotoxic activity to inhibit tumor growth. Because of their immune-stimulating effect, ICIs are linked to adverse renal outcomes in both native and transplanted kidneys. The risk of kidney allograft rejection in the setting of ICI use has been reported to be around 40%, leading to an increased risk of graft loss. In this report, we review the literature examining outcomes in kidney transplant recipients receiving ICIs for various oncologic indications.

Abstract Donor-derived tuberculosis is a rare complication following solid organ transplantation, and tuberculosis screening is not a current transplant prerequisite for most donors. Donor-derived tuberculosis usually presents sooner than reactivation tuberculosis, and the most common finding is fever. We present 3 cases of donor-derived tuberculosis in the recipients of 2 kidneys and 1 liver from the same donor, who presented with unexplained fevers occurring 4–5 weeks after transplantation. Initial antibacterial therapy failed in all 3 patients, leading to further testing, which identified Mycobacterium tuberculosis by culture and molecular studies. All recipients successfully received tuberculosis therapy but had significant morbidity and prolonged hospital stays. Donor-derived tuberculosis should be among the differential diagnoses of unexplained fever in solid organ transplant recipients in the first few months after transplantation. Screening protocols should be implemented for donors with an epidemiologic risk of tuberculosis, with special emphasis on deceased donors.

Currently, approximately 90,000 patients are on the kidney transplant waitlist in the United States, including 10,000 individuals awaiting re-transplantation due to prior graft failure. Allograft rejection remains a leading cause of kidney transplant failure. While the current gold standard for diagnosing rejection is tissue biopsy, it is invasive and impractical for routine or longitudinal graft surveillance. This review summarizes the current landscape of non-invasive biomarkers for detecting and predicting kidney transplant rejection, with a focus on both historical context and recent advancements. In particular, we highlight the roles of donor-derived cell-free DNA (dd-cfDNA) and gene expression profiling (GEP) in identifying acute rejection. We also discuss emerging biomarkers such as torque teno virus (TTV), which has shown potential as an indirect indicator of immunosuppression levels and rejection risk. Importantly, this review excludes biomarker studies that rely on tissue biopsy, emphasizing non-invasive approaches to rejection monitoring.

ABSTRACTMedical advances have enabled the realization of vascularized composite allografts and to date have demonstrated reasonably successful graft survival rates. Larynx and Trachea Transplantation (LT) has long been contemplated as a therapeutic option for severe laryngeal trauma and patients following total laryngectomy. Progress has been limited most likely due to lack of awareness as an option, technical and surgical expertise, limited transplant centers worldwide, need for multidisciplinary engagement from hospital leadership, Otolaryngology, and transplant medicine to build a successful program. As one of the first programs to exist in the United States, we have had to create new pathways, develop new workflows, work with numerous regulatory bodies, educate many people about the need for an LT, and learn many lessons along the way. The objectives of this paper are to help others navigate the complexities of creating a new LT transplant program so that this important treatment option may become more available to patients worldwide. We will provide a checklist for developing an LT program and discuss our experiences with the strategic development of an LT transplant program in an academic medical institution.