Models for acute on chronic liver failure development and mortality in a veterans affairs cohort.

ABSTRACT:

Background and purpose

The diagnosis of acute on chronic liver failure (ACLF) carries a high short-term mortality, making early identification of at-risk patients crucial. To date, there are no models that predict which patients with compensated cirrhosis will develop ACLF, and limited models exist to predict ACLF mortality. We sought to create novel risk prediction models using a large North American cohort.

Methods

We performed a retrospective study of 75,922 patients with compensated cirrhosis from the Veterans Outcomes and Costs Associated with Liver Disease (VOCAL) dataset. Using 70% derivation/30% validation sets, we identified ACLF patients using the Asian Pacific Association of Liver (APASL) definition. Multivariable logistic regression was used to derive prediction

SUBMITTER: Xiao KY 

PROVIDER: S-EPMC7656856 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature