Development and validation of a nomogram for predicting metabolic-associated fatty liver disease in the Chinese physical examination population.

ABSTRACT:

Aim

We aim to develop and validate a nomogram including readily available clinical and laboratory indicators to predict the risk of metabolic-associated fatty liver disease (MAFLD) in the Chinese physical examination population.

Methods

The annual physical examination data of Chinese adults from 2016 to 2020 were retrospectively analyzed. We extracted the clinical data of 138 664 subjects and randomized participants to the development and validation groups (7:3). Significant predictors associated with MAFLD were identified by using univariate and random forest analyses, and a nomogram was constructed to predict the risk of MAFLD based on a Lasso logistic model. Receiver operating characteristic curve analysis, calibration curves, and decision curve analysis were used to veri

SUBMITTER: Zhou B 

PROVIDER: S-EPMC10308730 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature