Risk prediction scores for acute on chronic liver failure development and mortality.

ABSTRACT:

Background & aims

Acute on chronic liver failure (ACLF) causes high short-term mortality in patients with previously stable chronic liver disease. To date there are no models to predict which patients are likely to develop ACLF, and existing models to predict ACLF mortality are based on limited cohorts. We sought to create novel risk prediction scores using a large cohort of patients with cirrhosis.

Methods

We performed a retrospective cohort study of 74 790 patients with incident cirrhosis in the Veterans Health Administration database using randomized 70% derivation/30% validation sets. ACLF events were identified per the European ACLF criteria. Multivariable logistic regression was used to derive prediction models for developing ACLF at 3, 6 and 12 months, and ACLF mortal

SUBMITTER: Mahmud N 

PROVIDER: S-EPMC7371261 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature