Liver volume based prediction model for patients with hepatitis B virus-related acute-on-chronic liver failure.

ABSTRACT:

Background

Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a life-threatening disease with high short-term mortality. Early and accurate prognosis is significant for clinical decisions, in which liver volume (LV) imparts important information. However, LV has not been considered in current prognostic models for HBV-ACLF.

Methods

Three hundred and twenty-three patients were recruited to the deriving cohort, while 163 were enrolled to validation cohort. The primary end-point was death within 28 days since admission. Estimated liver volume (ELV) was calculated by the formula based on healthy population. Logistic regression was used to develop a prediction model. Accuracy of models were evaluated by receiver operating characteristic (ROC) curves.

Result

SUBMITTER: Hu C 

PROVIDER: S-EPMC10078645 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature