A Novel Prediction Model for Significant Liver Fibrosis in Patients with Chronic Hepatitis B.

ABSTRACT:

Background

Preventing liver fibrosis from progressing to cirrhosis and even liver cancer is a key step in the treatment of chronic hepatitis B (CHB). This study is aimed at constructing and validating a new nomogram for predicting significant liver fibrosis (S ≥ 2) in CHB patients.

Methods

The nomogram was based on a retrospective study of 252 CHB patients. The predictive accuracy and discriminative ability of the nomogram were evaluated by the area under receiver operating characteristic curve (AUROC), decision curves, and calibration curve compared with the fibrosis 4 score (FIB-4) and aspartate aminotransferase-to-platelet ratio index (APRI). The results were validated using bootstrap resampling and an external set of 168 CHB patients.

Results

A total of 420

SUBMITTER: Chen Y 

PROVIDER: S-EPMC7368191 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature