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 (ISI(matsuda), ISI(0,120)) 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 indices, MASLD detection rates in ISI(matsuda) Q1-Q4 groups were 65.7, 54.2, 37.0, and 22.2%, respectively. Logistic regression analysis revealed significantly increased odds ratios (ORs) for MASLD in ISI(matsuda) Q1-Q3 groups compared to the Q4 group (OR = 3.63, 2.53, and 1.53, respectively; all p < 0.05). Similar results were observed across other IR indices (all p < 0.05). There were no statistically significant differences in the detection rates of liver fibrosis or the ORs among the quartile groups of the IR indices (all p > 0.05). ROC curve analysis showed that ISI(matsuda) had superior predictive power for MASLD in patients with T2DM (AUC = 0.701). Based on these findings, a risk prediction model for MASLD in the T2DM population was constructed using age, body mass index (BMI), alanine aminotransferase (ALT), triglycerides (TG), and 2-h postprandial C-peptide (2 h CP). CONCLUSION: Among the IR indices, ISI(matsuda) demonstrated the strongest correlation and highest predictive value for MASLD in T2DM.