BMC Gastroenterol. 2025 Mar 29;25(1):206. doi: 10.1186/s12876-025-03798-y.
ABSTRACT
BACKGROUND AND AIM: Nonalcoholic fatty liver disease (NAFLD) with liver fibrosis is associated with liver-related mortality and cardiovascular disease. Estimated glucose disposal rate (eGDR), which is an insulin resistance-related index, is related to the mortality caused by NAFLD. This study aimed to investigate the predictive value of eGDR for liver fibrosis in patients with NAFLD.
METHODS: The data from the National Health and Nutrition Examination Survey 2017-2020.03 were analyzed in the present study. NAFLD was diagnosed using the controlled attenuation parameter (CAP) tests using FibroScan® model 502 V2 Touch.
RESULTS: The data from 1585 individuals were analyzed, including 224 with significant fibrosis and 1361 with nonsignificant fibrosis. Individuals with significant fibrosis were older and had higher CAP values and lower eGDRs (both P < 0.01). A negative correlation was found between eGDR and stiffness degrees (odds ratio: 0.643, 95% confidence interval: 0.643-0.726, P < 0.001); the correlation was also significant after adjusting for age, sex, and ethics (P < 0.001). For participants with obesity and overweight, eGDR was negatively correlated with age, CAP, body mass index (BMI), waist circumference, C-reactive protein level, and white blood cell (WBC) count (all P < 0.05). The multivariate analysis revealed that age, eGDR, BMI, aspartate aminotransferase (AST), and WBC and platelet (PLT) counts (all P < 0.05) were independent risk factors for significant fibrosis. A model incorporating eGDR, BMI, age, AST, WBC, and PLT had an AUROC of 0.822, and was superior to conventional noninvasive scoring systems, including the AST-to-PLT ratio index, fibrosis-4 level, and gamma-glutamyl transpeptidase to platelet ratio for individuals with obesity (all P < 0.01).
CONCLUSION: Low eGDR was negatively correlated with liver fibrosis in individuals with NAFLD and obesity, and a model incorporating eGDR, BMI, age, AST, WBC, and PLT demonstrated strong predictive value for fibrosis evaluation.
PMID:40158190 | DOI:10.1186/s12876-025-03798-y