Evidence map›Paper›PMID 40597667›Full record

ArticleBMC gastroenterology2025

TyG-BMI as a superior predictor of MAFLD and pre-MAFLD in Chinese adults: a cross-sectional study.

Xinru Huang, Yanyun Hu, Lining Dong, Liying Zhu, Jie Li, Ji Hu, Wei Shao, Yongde Peng, Fang Liu

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Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xinru HuangDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Yanyun HuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Lining DongDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Liying ZhuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Jie LiShanghai Institute for Diabetes, Shanghai Jiao-Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Ji HuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Wei ShaoDepartment of Endocrinology and Metabolism, Huainan Oriental Hospital Group General Hospital, Huainan, China.
Yongde PengDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Fang LiuDepartment of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China. f-liu@sjtu.edu.cn.

Funding

National Natural Science Foundation of China 82170827Natural Science Foundation of Shanghai Municipality 22ZR1450100Yangtze River Delta field regional cooperation projects of Shanghai Science and Technology Committee 22002400600
6 · The paper itself

Abstract

backgroundMetabolic-associated fatty liver disease (MAFLD), a highly prevalent global liver disorder, requires early diagnosis and treatment to delay progression, yet lacks simple diagnostic tools. We aimed to evaluate the validity of the triglyceride-glucose index (TyG) and its related indexes in predicting MAFLD and pre-MAFLD among Chinese individuals.

methodsThis cross-sectional study enrolled 9,627 Chinese participants (mean age 46.53 ± 11.87 years; 62.1% males) categorized into three groups based on MAFLD diagnostic criteria. Baseline characteristics were analyzed using one-way ANOVA and Kruskal-Wallis tests. To evaluate independent associations, we performed logistic regression analyses of anthropometric markers and TyG-related indexes with MAFLD status. Furthermore, the dose-response relationship between the TyG and related indexes and MAFLD risk was examined using restricted cubic splines (RCS). Finally, receiver operating characteristic (ROC) curve analysis quantified the predictive performance of each index for MAFLD and pre-MAFLD.

resultsMean blood pressure, anthropometric indicators, and median TyG index and related parameters were significantly higher in the MAFLD group compared to the non-MAFLD group (p <.001). The pre-MAFLD group exhibited intermediate metabolic values between the non-MAFLD and MAFLD groups. Logistic regression analyses revealed anthropometric indicators, TyG index and related indicators were independent risk factors for MAFLD, adjusted for age, gender, blood pressure, blood glucose, and liver function markers. RCS analyses showed a nonlinear positive association between TyG index and related indexes and MAFLD risk (p for nonlinear <.0001). TyG-BMI demonstrated the highest area under the curve (AUC) for both MAFLD (0.874, 95%CI 0.867-0.881) and pre-MAFLD (0.823, 95%CI 0.810-0.836), with optimal cutoffs of 217.41 and 202.54, respectively.

conclusionsTyG-related indices, particularly TyG-BMI, showed superior discriminative ability for MAFLD and pre-MAFLD compared to traditional anthropometric measures in this Yangtze River Delta population, demonstrating an S-shaped dose-response relationship with MAFLD risk. These findings support TyG-BMI as a potential first-line screening tool.

Indexed as

Blood GlucoseBody Mass IndexFatty LiverNon-alcoholic Fatty Liver DiseaseTriglyceridesAdultBiomarkersChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsBiomarkersBlood GlucoseTriglyceridesChinese population.Metabolic-associated fatty liver diseasePre-MAFLDTriglyceride glucose indexTyG-BMI

Identifiers

PMID40597667
PMCPMC12211790

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.