Correlation between triglyceride-glucose index and related parameters and nonalcoholic fatty liver disease in northwest China

• Published in: International journal of diabetes in developing countries Vol. 44; no. 3; pp. 496 - 502
• Main Authors: Li, Danting, Wu, Shengli, Zhang, Meiyu, Xie, Chengyao, Tan, Huiwen, Li, Nong
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.09.2024; Springer Nature B.V
• Subjects: Body mass index; Diabetes; Family Medicine; Fatty liver; General Practice; Health Administration; Liver diseases; Medicine; Medicine & Public Health; Original Article; Risk factors; China; TyG-BMI; Nonalcoholic fatty liver disease; TyG; TyG-WC
• ISSN: 0973-3930; 1998-3832
• DOI: 10.1007/s13410-023-01255-8

Objective The triglyceride glucose (TyG) index and obesity are significantly closely related to the incidence of nonalcoholic fatty liver disease (NAFLD). The study aimed to investigate the relationship among the TyG index and its related parameters [TyG-waist circumference (WC) and TyG-body mass index (BMI)] with NAFLD. Methods This was a cross-sectional study involving 8401 subjects who underwent a health examination in Karamay, Xinjiang Province, China. TyG, TyG-WC, TyG-BMI were calculated with the established formula. NAFLD was diagnosed and classified by ultrasonography. Results The prevalence of NAFLD was markedly increased with increasing levels of TyG, TyG-WC and TyG-BMI. Logistic regression analysis suggested that WC, BMI, TyG, TyG-WC and TyG-BMI were independent risk factors for NAFLD. In receiver operating characteristic (ROC) analysis, TyG-BMI showed the largest area under the ROC curve (AUC) for the detection of NAFLD (0.856, 95% confidence interval: 0.848 ~ 0.865), and the results of sex analysis were consistent. TyG-BMI values of 176.69 (sensitivity: 86.9%, specificity: 68.1%), 193.02 (sensitivity: 73.8%, specificity: 73.6%) and 167.73 (sensitivity: 86.3%, specificity: 74.4%) were the optimal cutoff points to predict NAFLD in all participants, males and females, respectively. Conclusions This study demonstrated that TyG and its related parameters are significantly correlated with NAFLD. TyG-BMI is an effective predictor or clinical marker for identifying NAFLD.