ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2022
Artificial intelligence to identify harmful alcohol use after early liver transplant for alcohol-associated hepatitis.
Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 40 citations in OpenAlex.
- Early Implications for Solid Organ Transplantation With the Use of Artificial Intelligence From a Bibliometric Perspective.Mayo Clinic proceedings. Digital health · 2026Review
- Ahead, a Novel Validated Machine Learning Model for Clinical Diagnosis of Alcohol Associated Hepatitis.Research square · 2026Article
- Gender disparity in access to early liver transplant among patients with alcohol associated liver disease and limited sobriety is mediated by psychosocial factors.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026Article
- Early liver transplantation in alcohol-associated liver disease-Evolution of practice, patient selection, management, and outcomes.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026Review
- Should We Use Behavioural Predictions in Organ Allocation?Bioethics · 2025Article
- Liver Transplantation in Alcohol-Associated Liver Disease.Clinics in liver disease · 2025Review
- Advanced omics approaches in liver transplant settings: current applications and future prospectives.Frontiers in immunology · 2025Review
- A Tailored Virtual Program for Alcohol Use Disorder Treatment Among Liver Transplant Candidates and Recipients Is Feasible and Associated With Lower Post-Transplant Relapse.Clinical transplantation · 2024Article
- A physiologically-based digital twin for alcohol consumption-predicting real-life drinking responses and long-term plasma PEth.NPJ digital medicine · 2024Article
- Proceedings of the 28th Annual Congress of the International Liver Transplantation Society.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2024Article
- Workup and management of liver transplantation in alcohol-related liver disease.United European gastroenterology journal · 2024Review
- Advances in the management of alcohol-associated liver disease.Gastroenterology report · 2024Review
- A Comprehensive Review of Liver Allograft Fibrosis and Steatosis: From Cause to Diagnosis.Transplantation direct · 2023Review
- Advances and Controversies in Acute Alcohol-Related Hepatitis: From Medical Therapy to Liver Transplantation.Life (Basel, Switzerland) · 2023Review
- Main factors influencing long-term outcomes of liver transplantation in 2022.World journal of hepatology · 2023Review
- Artificial intelligence to identify harmful alcohol use after early liver transplant for alcohol-associated hepatitis.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022Article
- Recurrence of Primary Disease After Adult Liver Transplant - Risk Factors, Early Diagnosis, Management, and Prevention.Journal of clinical and experimental hepatologyReview
Corrections and comments
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Authors and funding
24 authors at 14 institutions in 1 country.
Funding
Abstract
Early liver transplantation (LT) for alcohol-associated hepatitis (AH) is the fastest growing indication for LT, but prediction of harmful alcohol use post-LT remains limited. Among 10 ACCELERATE-AH centers, we examined psychosocial evaluations from consecutive LT recipients for AH from 2006 to 2017. A multidisciplinary panel used content analysis to develop a maximal list of psychosocial variables. We developed an artificial intelligence model to predict post-LT harmful alcohol use. The cohort included training (N = 91 among 8 centers) and external validation (N = 25 among 2 centers) sets, with median follow-up of 4.4 (IQR 3.0-6.0) years post-LT. In the training set, AUC was 0.930 (95%CI 0.862-0.998) with positive predictive value of 0.891 (95%CI 0.620-1.000), internally validated through fivefold cross-validation. In the external validation set, AUC was 0.692 (95%CI 0.666-0.718) with positive predictive value of 0.82 (95%CI 0.625-1.000). The model identified specific variables related to social support and substance use as highly important to predict post-LT harmful alcohol use. We retrospectively developed and validated a model that identified psychosocial profiles at LT predicting harmful alcohol use post-LT for AH. This preliminary model may inform selection and post-LT management for AH and warrants prospective evaluation in larger studies among all alcohol-associated liver disease being considered for early LT.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.