The Aachen ACLF ICU score predicts ICU mortality in critically ill patients with acute-on-chronic liver failure.

ABSTRACT: Acute-on-chronic liver failure (ACLF) defines a heterogeneous syndrome involving acute decompensation in patients with pre-existing liver disease accompanied by (multi-)organ failure. This study aimed to develop a simple, reliable machine learning (ML) model to predict mortality in ACLF patients receiving intensive care unit (ICU) treatment. Data from 206 patients admitted to the ICU at RWTH Aachen University Hospital between 2015 and 2021 were retrospectively analyzed with ICU mortality as the primary outcome. An ICU mortality prediction model was developed by logistic regression and validated by 5-fold cross validation. Performance metrics were assessed to evaluate the model's accuracy and compare to existing mortality scores. ICU mortality was 60%. The chronic-liver-failure-consortium A

SUBMITTER: Pollmanns MR 

PROVIDER: S-EPMC11649908 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature