Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study.

ABSTRACT:

Objectives

Over 30% of people worldwide suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), a significant global health issue. Identifying and preventing high-risk individuals for MASLD early is crucial. The purpose of our study is to investigate the factors related to the development of MASLD and develop a risk prediction model for its occurrence.

Methods

The study included 5107 subjects, divided into training and validation groups in a 7:3 ratio using a random number table method. Collinearity diagnosis and Cox regression were used to identify factors associated with MASLD incidence, and a risk prediction model was created. The model's accuracy, reliability, and clinical applicability were assessed.

Results

Our study indicated that male, bo

SUBMITTER: Li N 

PROVIDER: S-EPMC11773756 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature