Predicting Stroke Incidence Using Estimated Glucose Disposal Rate Index in the Population with Cardiovascular-Kidney-Metabolic Syndrome Stage 0–3 in the Chinese Middle-Aged and Elderly Population
eGDR is a clinically relevant predictor of stroke in asymptomatic individuals with CKM syndrome. The application of stage-specific thresholds enhances the precision of early risk stratification and highlights the need for tailored surveillance strategies. These findings suggest the potential value of eGDR monitoring as a practical tool for early risk stratification in metabolically at-risk populations.
Authors
- Qian Lü (ORCID: https://orcid.org/0000-0003-2388-0357)
- Jiaxin Shao (ORCID: https://orcid.org/0000-0001-9998-3622)
- Christopher Chen (ORCID: https://orcid.org/0000-0002-1047-9225)
- Jian Jin (ORCID: https://orcid.org/0000-0002-1034-5710)
- Fei Wang (ORCID: https://orcid.org/0000-0002-9952-8432)
- Shiyi Chen (ORCID: https://orcid.org/0000-0001-9190-3122)
- Hao Zhou (ORCID: https://orcid.org/0009-0009-2297-7932)
- Zhiwei Cao (ORCID: https://orcid.org/0000-0003-1165-1928)
- Jianghua Zhou
- Qianrong Zheng
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Cardiorenal Medicine
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1159/000549744
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00