A novel dynamic model for predicting outcome in patients with hepatitis B virus related acute-on-chronic liver failure.

ABSTRACT:

Aim

It is challenging to predict the outcome of patients with hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF) through existing prognostic models. Our aim was to establish a novel dynamic model to improve the predictive efficiency of 30-day mortality in HBV-ACLF patients.

Methods

305 patients who were diagnosed as HBV-ACLF (derivation cohort, n=211; validation cohort, n=94) were included in this study. The HBV-ACLF dynamic (HBV-ACLFD) model was constructed based on the daily levels of predictive variables in 7 days after diagnosis combined with baseline risk factors by multivariate logistic regression analysis. The HBV-ACLFD model was compared with the Child-Turcotte-Pugh (CTP) score, end-stage liver disease (MELD) score, and MELD within corporation of ser

SUBMITTER: Xue R 

PROVIDER: S-EPMC5752496 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature