Predictive value of the combined triglyceride-glucose and frailty index for cardiovascular disease and stroke in two prospective cohorts
TyGFI is a strong and independent predictor of CVD and stroke in two nationally representative cohorts. By integrating metabolic and functional risk dimensions, TyGFI provides a more comprehensive risk stratification tool, with significant implications for early identification and prevention of cardiovascular events in aging populations.
Authors
- Rao Fu (ORCID: https://orcid.org/0000-0002-7551-4618)
- Shiqi Wu (ORCID: https://orcid.org/0009-0003-9296-4690)
- Bikui Zhang (ORCID: https://orcid.org/0000-0001-7148-7926)
- Miao Yan (ORCID: https://orcid.org/0000-0002-3582-8305)
- Yi‐Chang Zhao (ORCID: https://orcid.org/0000-0002-9651-4457)
- Zhihua Sun (ORCID: https://orcid.org/0000-0003-2170-1597)
- Jia-Kai Li
Institutions
- Hunan International Economics University (CN)
- Central South University (CN)
- China Pharmaceutical University (CN)
- National Clinical Research (US)
- Hunan Provincial People's Hospital (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1186/s12933-025-02880-9
- Citations
- 16
- Primary Topic
- Frailty in Older Adults
- Type
- article
- Field-Weighted Citation Impact
- 19.58
Funders
- Central South University
- Chinese Pharmaceutical Association
- Division of Graduate Education