The association of obesity and lipid-related indicators with all-cause and cardiovascular mortality risks in patients with diabetes or prediabetes: a cross-sectional study based on machine learning algorithms
TyG, TyG-WWI, ABSI, and VAI are closely linked to mortality risk in diabetes/prediabetes patients. Among these, TyG is significantly associated with both all-cause and cardiovascular mortality, showing superior predictive capability. We recommend long-term monitoring of these indicators and their inclusion in management strategies to effectively inform diabetes/prediabetes patients about their mortality risks.
Authors
- Zhaoqi Yan (ORCID: https://orcid.org/0000-0002-2988-9021)
- Xing Chang (ORCID: https://orcid.org/0000-0002-3788-9881)
- Xiao‐Jun Du (ORCID: https://orcid.org/0000-0001-5213-3911)
- Ruxiu Liu (ORCID: https://orcid.org/0000-0002-9243-1769)
- Zhiming Liu (ORCID: https://orcid.org/0009-0009-5752-4773)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Third Hospital of Nanchang (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-06-02
- DOI
- https://doi.org/10.3389/fendo.2025.1492082
- Citations
- 3
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 3.88