The 2025 Annual Congress of the International Liver Transplantation Society (ILTS), themed “ Advancing Liver Transplantation: Embracing Innovation for the Future ,” was held from May 28 to 31 in Singapore. The meeting offered a comprehensive scientific program, featuring 92 sessions and 7 pre-congress workshops spanning living donor liver transplantation, advanced surgery, anesthesia and critical care, transplant oncology and immunology, basic science, pediatrics, and more. The program emphasized collaboration and innovation to advance patient outcomes in liver transplantation. In this report, the ILTS Vanguard Committee summarizes the key proceedings of the congress.
Intracardiac thrombosis during liver transplantation: A 22-year single-institution cohort study
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.
Pain Management in Autosomal Dominant Polycystic Kidney Disease
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder. It is primarily caused by pathogenic variants in the PKD1 or PKD2 genes. This leads to the development of numerous kidney cysts, which can result in kidney enlargement and progression to kidney failure. Pain is a common symptom in ADPKD and can negatively affect quality of life (QOL). This pain is often due to the continuous growth of kidney and liver cysts or associated cystic complications. We present a case of a 29-year-old woman with ADPKD who experienced chronic, refractory right-sided flank pain that significantly affected her QOL. Her pain persisted despite taking daily multimodal analgesics and undergoing multiple invasive interventions. She had an unusual asymmetric disease with the right kidney accounting for only 24% of her kidney function. After exhausting all other pain control strategies, she underwent right nephrectomy and partial hepatectomy, which led to substantial improvement in pain and QOL. This review describes the causes, manifestations, and management strategies for abdominal and/or flank pain in ADPKD, including a practical stepwise algorithm to guide clinicians in managing pain and improve QOL of patients with ADPKD. Pain in ADPKD can either be acute or chronic and can lead to significant physical and psychologic distress. Effective pain management in ADPKD requires a multidisciplinary approach, incorporating both nonpharmacologic and pharmacologic interventions such as gabapentin or tolvaptan in select cases. Interventions considered in ADPKD pain control include cyst aspiration with sclerotherapy, celiac plexus blockade, spinal cord stimulation, renal denervation, or nephrectomy.
The Impact of Epstein–Barr Virus Serostatus Mismatch in Adult Kidney Transplant Recipients: An Analysis of the 2012–2022 OPTN Database
ABSTRACTBackground and AimsOne strategy to minimize the risk of posttransplant lymphoproliferative disorder (PTLD) is to avoid an Epstein–Barr Virus (EBV) mismatch through kidney paired donation. We aimed to estimate the incidence of PTLD in EBV‐negative kidney transplant recipients with EBV‐positive donors (D+/R−) and evaluate the excess risk of death following the occurrence of PTLD.MethodsWe included adult patients in OPTN database who underwent kidney transplants between 2012 and 2022. Cox regression analysis was employed to evaluate the impact of EBV serostatus on the development of PTLD, and to assess mortality following PTLD diagnosis in D+/R− individuals.ResultsA total of 179 068 patients were included, with 92.8% in the R+, 6.4% in the D+/R−, and 0.8% in the D−/R− group. D+/R− exhibited a significantly higher risk of PTLD compared to R+ and D−/R− groups. D+/R− had a greater risk of PTLD when compared to D−/R− recipients (aHR: 3.82; p < 0.001). Among D+/R− recipients, those who developed PTLD had a significantly higher risk of mortality (aHR: 2.28; p < 0.001 in deceased donor kidney transplant [DDKT] and aHR: 5.22; p < 0.001 in living donor kidney transplant [LDKT]).ConclusionsD+/R− recipients have nearly a fourfold higher risk of PTLD compared to D−/R− recipients, suggesting that choosing an EBV D−/R− transplant could reduce the PTLD risk by about 73%. This data is crucial for counseling EBV‐negative patients considering kidney paired donation to avoid an EBV serostatus mismatch.
Prolonged time from cross-clamp until normothermic machine perfusion start is associated with an increased risk of early allograft dysfunction following DCD liver transplant
There is a paucity of data on the impact of cold ischemia time before the initiation of normothermic machine perfusion (NMP), particularly in more susceptible organs such as livers from donation after circulatory death (DCD) donors. The present analysis aimed to investigate the impact of prolonged time from cross-clamp until NMP start on early allograft dysfunction and other peri–liver transplant (LT) outcomes. All DCD LT performed and placed on NMP at Mayo Clinic Arizona, Florida, and Rochester from January 2022 to March 2024 were included. The decision was made a priori to divide the population into 2 groups based on terciles: typical cross-clamp to on-pump time (lower 2 terciles) versus prolonged cross-clamp to on-pump time (upper tercile; >2 h 45.6 min). Three hundred eighty-four DCD LT undergoing NMP met the inclusion criteria. The rate of early allograft dysfunction was significantly higher in the prolonged cross-clamp to on-pump group (51.2%) compared to the typical cross-clamp to on-pump group (37.6%) (p = 0.01). The prolonged cross-clamp to on-pump group also had higher rates of acute kidney injury and the number of packed red blood cells transfused during LT. No significant difference in ischemic cholangiopathy (2.4% vs. 3.1%; p = 0.68) or graft survival at 12 months was seen between the prolonged cross-clamp to on-pump and typical cross-clamp to on-pump group, respectively. Following cross-clamp, DCD liver grafts should be placed on the NMP pump as quickly as is safely and logistically possible. In cases where delays are unavoidable, such as waiting for biopsy results or liver reallocation with another center, acceptable results can still be achieved, and therefore, livers with prolonged times should still be used.
Evaluating Global and Temporal Trends in Pancreas and Islet Cell Transplantation: Public Awareness and Engagement
Background: Pancreas transplantation is a crucial surgical intervention for managing diabetes, but it faces challenges such as its invasive nature, stringent patient selection criteria, organ scarcity, and centralized expertise. Despite the steadily increasing number of pancreas transplants in the United States, there is a need to understand global trends in interest to increase awareness of and participation in pancreas and islet cell transplantation. Methods: We analyzed Google Search trends for “Pancreas Transplantation” and “Islet Cell Transplantation” from 2004 to 14 November 2023, assessing variations in search interest over time and across geographical locations. The Augmented Dickey–Fuller (ADF) test was used to determine the stationarity of the trends (p < 0.05). Results: Search interest for “Pancreas Transplantation” varied from its 2004 baseline, with a general decline in peak interest over time. The lowest interest was in December 2010, with a slight increase by November 2023. Ecuador, Kuwait, and Saudi Arabia showed the highest search interest. “Islet Cell Transplantation” had its lowest interest in December 2016 and a more pronounced decline over time, with Poland, China, and South Korea having the highest search volumes. In the U.S., “Pancreas Transplantation” ranked 4th in interest, while “Islet Cell Transplantation” ranked 11th. The ADF test confirmed the stationarity of the search trends for both procedures. Conclusions: “Pancreas Transplantation” and “Islet Cell Transplantation” showed initial peaks in search interest followed by a general downtrend. The stationary search trends suggest a lack of significant fluctuations or cyclical variations. These findings highlight the need for enhanced educational initiatives to increase the understanding and awareness of these critical transplant procedures among the public and professionals.
“To sleep—perchance to dream”: Daytime surgery start times for liver transplantation with ex situ normothermic machine perfusion
Kidney transplantation is a critical treatment option for end-stage kidney disease patients, offering improved quality of life and increased survival rates. However, the complexities of kidney transplant care necessitate continuous advancements in decision making, patient communication, and operational efficiency. This article explores the potential integration of a sophisticated chatbot, an AI-powered conversational agent, to enhance kidney transplant practice and potentially improve patient outcomes. Chatbots and generative AI have shown promising applications in various domains, including healthcare, by simulating human-like interactions and generating contextually appropriate responses. Noteworthy AI models like ChatGPT by OpenAI, BingChat by Microsoft, and Bard AI by Google exhibit significant potential in supporting evidence-based research and healthcare decision making. The integration of chatbots in kidney transplant care may offer transformative possibilities. As a clinical decision support tool, it could provide healthcare professionals with real-time access to medical literature and guidelines, potentially enabling informed decision making and improved knowledge dissemination. Additionally, the chatbot has the potential to facilitate patient education by offering personalized and understandable information, addressing queries, and providing guidance on post-transplant care. Furthermore, under clinician or transplant pharmacist supervision, it has the potential to support post-transplant care and medication management by analyzing patient data, which may lead to tailored recommendations on dosages, monitoring schedules, and potential drug interactions. However, to fully ascertain its effectiveness and safety in these roles, further studies and validation are required. Its integration with existing clinical decision support systems may enhance risk stratification and treatment planning, contributing to more informed and efficient decision making in kidney transplant care. Given the importance of ethical considerations and bias mitigation in AI integration, future studies may evaluate long-term patient outcomes, cost-effectiveness, user experience, and the generalizability of chatbot recommendations. By addressing these factors and potentially leveraging AI capabilities, the integration of chatbots in kidney transplant care holds promise for potentially improving patient outcomes, enhancing decision making, and fostering the equitable and responsible use of AI in healthcare.
Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care
Longer pre-transplant dialysis duration is known to be associated with worse post-transplant outcomes. Our study aimed to cluster kidney transplant recipients with prolonged dialysis duration before transplant using an unsupervised machine learning approach to better assess heterogeneity within this cohort. We performed consensus cluster analysis based on recipient-, donor-, and transplant-related characteristics in 5092 kidney transplant recipients who had been on dialysis ≥ 10 years prior to transplant in the OPTN/UNOS database from 2010 to 2019. We characterized each assigned cluster and compared the posttransplant outcomes. Overall, the majority of patients with ≥10 years of dialysis duration were black (52%) or Hispanic (25%), with only a small number (17.6%) being moderately sensitized. Within this cohort, three clinically distinct clusters were identified. Cluster 1 patients were younger, non-diabetic and non-sensitized, had a lower body mass index (BMI) and received a kidney transplant from younger donors. Cluster 2 recipients were older, unsensitized and had a higher BMI; they received kidney transplant from older donors. Cluster 3 recipients were more likely to be female with a higher PRA. Compared to cluster 1, cluster 2 had lower 5-year death-censored graft (HR 1.40; 95% CI 1.16–1.71) and patient survival (HR 2.98; 95% CI 2.43–3.68). Clusters 1 and 3 had comparable death-censored graft and patient survival. Unsupervised machine learning was used to characterize kidney transplant recipients with prolonged pre-transplant dialysis into three clinically distinct clusters with variable but good post-transplant outcomes. Despite a dialysis duration ≥ 10 years, excellent outcomes were observed in most recipients, including those with moderate sensitization. A disproportionate number of minority recipients were observed within this cohort, suggesting multifactorial delays in accessing kidney transplantation.