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Scientific reports · 2026

The association of TyG-BMI with MAFLD and liver fibrosis: a cross-sectional study.

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Wang Xiaoyu, Han Xiuli, Liu Jie, Qi Yuxia

Аннотация

The early identification and risk stratification of metabolic-associated fatty liver disease (MAFLD) urgently require effective, non-invasive tools. This study aimed to comprehensively evaluate the association of the triglyceride-glucose-body mass index (TyG-BMI) with the risk of MAFLD prevalence and the degree of steatosis, and to further assess its potential as a biomarker for liver fibrosis. This cross-sectional study included 1,457 participants. Logistic regression were employed to assess the association between TyG-BMI and MAFLD risk, with diagnostic performance evaluated by ROC curve analysis. The relationships of TyG-BMI with MAFLD severity and liver stiffness measurement (LSM) were investigated. Individuals with MAFLD had a significantly higher TyG-BMI index than those without (242.02 ± 41.04 vs. 198.44 ± 33.99). After adjusting for confounders, each 1-unit increase in TyG-BMI was associated with a 3.4% increase in the risk of MAFLD (aOR = 1.034, 95% CI: 1.030-1.038). The AUC for TyG-BMI in diagnosing MAFLD was 0.806. This association was significantly modified by age, being stronger in younger individuals (≤ 60 years). Furthermore, trend tests indicated a significant increase in TyG-BMI levels with advancing degree of steatosis, and TyG-BMI was identified as an independent risk factor for the degree of steatosis (OR = 1.033). Additionally, the TyG-BMI index showed a significant positive correlation with LSM (Spearman's r = 0.255). A linear regression confirmed that TyG-BMI was an independent contributing factor to LSM (β = 0.011) after adjusting for age and sex. The TyG-BMI index is independently associated with the prevalence, severity, and fibrosis risk of MAFLD. As a simple, non-invasive index integrating routine metabolic parameters, it holds potential for initial screening and may provide ancillary information for fibrosis risk assessment in clinical practice.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты