Development and validation of a risk prediction model for mild cognitive impairment in older Chinese adults with chronic diseases
The nomogram prediction model deeloped in this study demonstrated good predictive performance and may serve as a useful tool to help identify older adults with chronic diseases who are at increased risk of MCI. These findings may inform future strategies for individualized risk assessment and early management.
Authors
- Yuntian Zhu (ORCID: https://orcid.org/0000-0002-5961-7422)
- Lin Xu (ORCID: https://orcid.org/0000-0002-0537-922X)
- Hao Chen (ORCID: https://orcid.org/0000-0002-6408-9505)
- Lulu Yan
- Weihua Li
- Entong Ren
- Jiang Han
- Yuanyuan Peng
- Chenjiao Guo
- Yanan Ou
Institutions
- Jiangxi University of Traditional Chinese Medicine (CN)
- Yangtze University (CN)
- Guangdong Pharmaceutical University (CN)
- Third Affiliated Hospital of Southern Medical University (CN)
- General Hospital of Guangzhou Military Command (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- BMC Geriatrics
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1186/s12877-025-06924-3
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00