Unknown

Dataset Information

Serum uric acid trajectories and risk of metabolic dysfunction-associated steatotic liver disease in China: a 2019-2021 cohort health survey.


ABSTRACT:

Objective

To investigate the associations between serum uric acid (UA) trajectories and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in large cohort survey 2019-2021.

Methods

This cohort health survey included 11,644 participants without MASLD before January 1, 2021. Among them, 5578 (47.90%) were men and 6066 (52.10%) were women. The group-based trajectory model method was applied to identify serum UA trajectories from January 1, 2019, to December 30, 2021. New-onset MASLD events in 2021 were treated as outcomes. A logistic regression model was used to assess associations between UA trajectories and incidence of MASLD.

Results

Four distinct serum UA trajectories among both sexes were identified: "low-stable" trajectory 1 (n = 783 men;

SUBMITTER: Shi D 

PROVIDER: S-EPMC11834244 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature