Assessment of the clinical value of five noninvasive predictors of metabolic dysfunction–associated steatotic liver disease in Han Chinese adults

Author:

Ma Xiaopu1,Zou Haoxuan1,Zhan Junyi1,Gao Junzhu1,Xie Yan1

Affiliation:

1. Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

Abstract

Background: Fatty Liver Index (FLI), Triglyceride–Glucose Index (TyG), Lipid Accumulation Product (LAP), Zhejiang University Index (ZJU), and Visceral Adiposity Index (VAI) are five classical predictive models for fatty liver disease. Our cross-sectional study aimed to identify the optimal predictors by comparing the predictive value of five models for metabolic dysfunction–associated steatotic liver disease (MASLD) risk. Methods Data on 2687 participants were collected from West China Hospital of Sichuan University. Controlled attenuation parameters assessed by transient elastography were used to effectively diagnose MASLD. Logistic regression analysis was used to estimate the odd ratios and 95% confidence intervals between indices and MASLD risk. Receiver operating characteristic curves were plotted to evaluate the predictive value of indices. Results This study included 1337 normal and 1350 MASLD samples. The average age of MASLD patients is 47 years old, and the prevalence was higher in males (39.3%) than in females (10.9%). Five indices were positively correlated with MASLD risk, with the strongest correlation for TyG. Overall, the area under the curve of the indicators was: ZJU 0.988, FLI 0.987, LAP 0.982, TyG 0.942, and VAI 0.941. In the gender stratification, ZJU (0.989) performed best in males. FLI (0.988) and ZJU (0.987) had similar predictive ability in females. In the age stratification, FLI performed better in predicting the middle-aged group aged 30–40 years (0.991). Conclusion For Chinese Han adults, ZJU is the best predictive index for initial screening of MASLD. FLI can serve as an alternative tool for ZJU to predict females.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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