Association of the estimated glucose disposal rate combined with a body shape index with all-cause and cardiovascular-specific mortality among individuals with cardiovascular-kidney-metabolic syndrome
Both eGDR and ABSI are independent and combined predictors of mortality risk among individuals with CKM syndrome. Their combined use significantly improves risk stratification and machine learning models provide an effective tool for precise risk assessment in this population.
Authors
- Lulu Sun (ORCID: https://orcid.org/0000-0001-8876-5099)
- Xiangyang Gao
- Bingqing Han (ORCID: https://orcid.org/0000-0001-6920-4480)
- Shanshan Liu
- Hao Zhang
- Chao Fu
- Chunlin Li
- Qiang Zeng
- Yuxin Li
- Rui Wang
- Jingbo Hou
- Fei Wang
- Zheng Zhang
- Zhaohui Xie
Institutions
- Harbin Medical University (CN)
- Heilongjiang University of Chinese Medicine (CN)
- Chinese PLA General Hospital (CN)
- Chinese University of Hong Kong, Shenzhen (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Education Department of Heilongjiang Province (CN)
- Shenzhen Second People's Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1186/s12933-026-03127-x
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00