Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0–3 population: a national prospective cohort and machine learning study
TyG-WHtR is a robust, stable predictor of frailty progression in individuals with CKM syndrome stages 0-3. Its integration into clinical practice, potentially via the developed web tool, could enhance early frailty risk stratification.
Authors
- Tiantian Xue (ORCID: https://orcid.org/0000-0003-4985-1239)
- Ruikang Liu (ORCID: https://orcid.org/0000-0002-9828-5301)
- Guancheng Ye (ORCID: https://orcid.org/0009-0007-4105-424X)
- Fuyuan Zhang (ORCID: https://orcid.org/0000-0002-9910-8681)
- Shiyi Tao (ORCID: https://orcid.org/0000-0003-1339-6449)
- Jun Li (ORCID: https://orcid.org/0000-0003-1334-6281)
- Botan Xu
- Yiying Liu (ORCID: https://orcid.org/0000-0001-6532-6448)
- Yonghao Li (ORCID: https://orcid.org/0000-0003-3729-819X)
- Xuanchun Huang (ORCID: https://orcid.org/0009-0009-8486-6496)
- Guangyi Yang
Institutions
- Beijing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Wangjing Hospital of China Academy of Chinese Medical Sciences (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- Diabetology & Metabolic Syndrome
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1186/s13098-025-01993-1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China