Volume 23 Issue 8
Aug.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(8): 1284-1288
ZHENG Xudong, WANG Fang, NI Xiang, XU Ming, KANG Dongmei. Correlation between blood test indexes including triglyceride glucose index, atherogenic index of plasma, and prediabetes[J]. Chinese Journal of General Practice, 2025, 23(8): 1284-1288. doi: 10.16766/j.cnki.issn.1674-4152.004116
Citation: ZHENG Xudong, WANG Fang, NI Xiang, XU Ming, KANG Dongmei. Correlation between blood test indexes including triglyceride glucose index, atherogenic index of plasma, and prediabetes[J]. Chinese Journal of General Practice, 2025, 23(8): 1284-1288. doi: 10.16766/j.cnki.issn.1674-4152.004116
shu

Correlation between blood test indexes including triglyceride glucose index, atherogenic index of plasma, and prediabetes

doi: 10.16766/j.cnki.issn.1674-4152.004116

  • Health Management Center, The First Affiliated Hospital of USTC, Hefei, Anhui 230001, China

Funds:

 82271617

  • Received Date: 2024-07-13
    Available Online: 2025-10-31
    Abstract
  •   Objective   To explore the role of multiple indicators, including triglyceride glucose index (TyG), triglyceride glucose body mass index (TyG-BMI), atherosclerotic index of plasma (AIP), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio (TG/HDL-C), and aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (AST/ALT), in assessing the risk of prediabetes.   Methods   A total of 15 371 individuals from the South District Health Management Center of the First Affiliated Hospital of University of Science and Technology of China from October 2019 to April 2022 were included in the study. The follow-up data were collected from February 2020 to January 2024. Pre-diabetes was diagnosed based on the criteria of WHO and ADA. The differences of blood test indicators such as triglyceride glucose index, triglyceride glucose body mass index, plasma arteriosclerosis in prediabetes population and non-prediabetes population were compared and statistically analyzed (P < 0.05).   Results   The levels of TyG-BMI, TyG, AIP, and TG/HDL-C in patients with prediabetes were significantly higher than those in the normal control group (P < 0.05), while the AST/ALT ratio was lower than those in the normal control group (P < 0.05). The AUC values for identifying prediabetes ranked from highest to lowest were: TyG-BMI, TyG, AIP, TG/HDL-C, and AST/ALT. The AUC values of TyG-BMI were 0.916 (ADA criteria) and 0.933 (WHO criteria), indicating that both TyG and TyG-BMI were independently and positively correlated with prediabetes and served as the most effective individual predictors.   Conclusion   Blood biomarkers such as TyG index, TyG-BMI, AIP, AST/ALT ratio, and TG/HDL-C ratio have predictive value for prediabetes patients. These indicators not only aid in early screening but also provide insight into the risk of vascular sclerosis, cardiovascular and cerebrovascular diseases, and metabolic disorders. The combined use of these biomarkers offers a more scientific and reasonable rational basis for the prevention and treatment of prediabetes patients.

     

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