Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study
The CHG index that integrates cholesterol, HDL-C, and glucose metabolism, showed superior predictive performance for the incidence of T2DM. Suggesting that it effectively captures the multifactorial pathophysiology of the disease. It is based on routine biomarkers making it easily applicable in risk stratification, offering a cost-effective tool for early intervention and precise prevention in clinical and public health settings.
Authors
- S. Chen (ORCID: https://orcid.org/0009-0009-5799-1283)
- Xiang-Xiang Li
- Feng Lu
- Hao Shen
Institutions
- Soochow University (CN)
- Yancheng Central Blood Station (CN)
- Community Health Center (US)
- First Affiliated Hospital of Soochow University (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2026-02-05
- DOI
- https://doi.org/10.3389/fendo.2026.1665074
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China