Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm
While CSVD is prevalent among middle-aged and older individuals, cognitive decline trajectories differ. Endocrine metabolic indicators like IGF-1 offer early predictive value. This study has produced a succinct nomogram integrating demographic and clinical indicators for medical application.
Authors
- Huajie Li (ORCID: https://orcid.org/0000-0002-1201-9863)
- Shiying Sheng (ORCID: https://orcid.org/0000-0002-8900-4117)
- Jingwen Kang (ORCID: https://orcid.org/0000-0002-7761-0400)
- G. Zhao (ORCID: https://orcid.org/0009-0002-8564-5213)
- Jingwei Li (ORCID: https://orcid.org/0000-0002-0686-9773)
- Feng Qian
- Xiaoming Ma (ORCID: https://orcid.org/0009-0005-0630-7091)
- Wendie Huang
- Yaohui Huang (ORCID: https://orcid.org/0009-0008-8163-9020)
Institutions
- Soochow University (CN)
- Jiangsu Province Blood Center (CN)
- Nanjing Brain Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- Suzhou Municipal Hospital (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-02-03
- DOI
- https://doi.org/10.3389/fnagi.2025.1431421
- Citations
- 3
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- Jiangsu Commission of Health
- Nanjing Drum Tower Hospital