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: The progressive increase in the prevalence of morbid obesity (MO) in the general population is a pressing issue. This rise in MO has also been observed in patients with liver disease who are candidates for liver transplantation (LT).
Methods: A retrospective study of a single-center series was conducted to analyze the impact of MO on morbidity, mortality, and patient survival after LT.