An easy-to-use AIHF-nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis.

ABSTRACT:

Background

The evaluation of liver fibrosis is essential in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate an easy-to-use nomogram to identify AIH patients with advanced liver fibrosis.

Methods

AIH patients who underwent liver biopsies were included and randomly divided into a training set and a validation set. The least absolute shrinkage and selection operator (LASSO) regression was used to select independent predictors of advanced liver fibrosis from the training set, which were utilized to establish a nomogram. The performance of the nomogram was evaluated using the receiver characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results

The median age of 235 patients with AIH was 54 years o

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC10229817 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature