Establish a noninvasive model to screen metabolic dysfunction-associated steatotic liver disease in children aged 6-14 years in China and its applications in high-obesity-risk countries and regions.

ABSTRACT:

Background

The prevalence of metabolic-associated steatotic liver disease (MASLD) is rising precipitously among children, particularly in regions or countries burdened with high prevalence of obesity. However, identifying those at high risk remains a significant challenge, as the majority do not exhibit distinct symptoms of MASLD. There is an urgent need for a widely accepted non-invasive predictor to facilitate early disease diagnosis and management of the disease. Our study aims to 1) evaluate and compare existing predictors of MASLD, and 2) develop a practical screening strategy for children, tailored to local prevalence of obesity.

Methods

We utilized a school-based cross-sectional survey in Beijing as the training dataset to establish predictive models for screening MAS

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11338159 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature