Background: Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered using normothermic regional perfusion (NRP). Consequently, we explored the role of different machine learning-based classifiers as predictive models for graft survival.
View Article and Find Full Text PDFBackground And Aims: Patients with a history of metabolic and bariatric surgery (MBS) are susceptible to developing alcohol use disorder. Outcome after transplantation for alcohol-related liver disease (ALD) has not been studied in-depth.
Methods: We included adult patients who underwent a liver transplantation (LT) in Belgium between 1 January 2013 and 31 December 2022 for ALD.
BJS Open
October 2024