Association between triglyceride glucose-body mass index and MASH, cardiovascular disease in MASLD patients: a cross-sectional study and machine learning analysis.

ABSTRACT:

Background

The triglyceride glucose-body mass index (TyG-BMI) is a useful marker for metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular disease (CVD). However, its ability to differentiate metabolic dysfunction-associated steatohepatitis (MASH) and CVD risk among patients with MASLD requires further investigation. This study evaluates the association between TyG-BMI and MASH/CVD risk in patients with MASLD and applies machine learning (ML) to identify relevant risk factors.

Methods

The study used data from National Health and Nutrition Examination Survey (NHANES) to analyzed associations between TyG-BMI and two clinical outcomes: MASH, defined by the FibroScan-AST (FAST) score ≥0.35, and self-reported CVD. Participants were categorized based

SUBMITTER: Tang X 

PROVIDER: S-EPMC12670593 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature