Volume 23 Issue 11
Nov.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(11): 1866-1868
DAI Qingyun, WU Yan, GUO Qinhao, LI Lei, WANG Zhen, QI Jianjun. Comparison of the predictive value of the TyG index and related indices for lean non-alcoholic fatty liver disease[J]. Chinese Journal of General Practice, 2025, 23(11): 1866-1868. doi: 10.16766/j.cnki.issn.1674-4152.004247
Citation: DAI Qingyun, WU Yan, GUO Qinhao, LI Lei, WANG Zhen, QI Jianjun. Comparison of the predictive value of the TyG index and related indices for lean non-alcoholic fatty liver disease[J]. Chinese Journal of General Practice, 2025, 23(11): 1866-1868. doi: 10.16766/j.cnki.issn.1674-4152.004247
shu

Comparison of the predictive value of the TyG index and related indices for lean non-alcoholic fatty liver disease

doi: 10.16766/j.cnki.issn.1674-4152.004247
  • 1.

    Graduate School, Wannan Medical College, Wuhu, Anhui 241002, China

Funds:

 AHWJ2022b054

  • Received Date: 2025-02-15
    Available Online: 2026-01-07
    Abstract
  •   Objective  To investigate the utility of the triglyceride-glucose index (TyG index) as a surrogate marker of insulin resistance, examine its association with non-alcoholic fatty liver disease (NAFLD), and assess its predictive efficacy, along with related indices, for lean NAFLD.  Methods  A total of 1 343 individuals who underwent health examinations at the Medical Examination Center of the First Affiliated Hospital of Wannan Medical College from June to August 2023 were selected. NAFLD was diagnosed using abdominal ultrasound, and participants were categorized into a non-NAFLD group (1 099 cases) and a NAFLD group (244 cases). Clinical indices between the two groups were compared. Logistic regression was used to explore the risk factors for lean NAFLD. Receiver operating characteristic (ROC) curve was generated to assess the predictive value of the TyG index and related indices.  Results  Both the TyG index and TyG-BMI index were independent risk factors for the development of lean NAFLD (P < 0.05). The ROC curve results for the total population and gender subgroups showed that the TyG-BMI index had the highest predictive value, with an area under the curve (AUC) of 0.747 (95% CI: 0.713-0.782) in the total population, 0.725 (95% CI: 0.672-0.779) in males, and 0.748 (95% CI: 0.700-0.796) in females.  Conclusion  Both the TyG index and TyG-BMI index are independent risk factors for NAFLD, showing good predictive ability, with the TyG-BMI index exhibiting superior predictive performance.

     

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