Unknown

Dataset Information

ISI<sub>matsuda</sub> as a potential predictor of metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus.


ABSTRACT:

Background

This study aimed to determine the most efficacious insulin resistance (IR) indices to predict metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with type 2 diabetes mellitus (T2DM).

Methods

This cross-sectional study included 1,587 patients with T2DM. MASLD was defined by abdominal ultrasound findings. Liver fibrosis risk was assessed with FIB-4. All participants underwent a 100 g standard steamed bread meal test. We analyzed basal IR indices (HOMA-IR, QUICKI, IAI, Bennett ISI) and post-stimulation IR indices (ISImatsuda, ISI0,120) to explore their associations with MASLD and liver fibrosis.

Results

Participants were categorized into four groups according to IR indices quartiles. Among post-stimulation IR ind

SUBMITTER: Liu J 

PROVIDER: S-EPMC12426025 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature