Comprehensive predictive model for cerebral microbleeds: integrating clinical and biochemical markers
The comprehensive predictive model developed in this study offers a significant advancement in the personalized management of patients at risk for CMBs. By addressing the gap in effective predictive tools, this model facilitates early diagnosis and targeted intervention, potentially reducing the incidence of stroke and cognitive impairments associated with cerebral microbleeds. Our findings advocate for a more nuanced approach to cerebrovascular disease management, emphasizing the importance of multi-factorial risk profiling.
Authors
- Jiang Ye (ORCID: https://orcid.org/0000-0002-1289-4027)
- Nan Jia (ORCID: https://orcid.org/0000-0001-8685-9526)
- Yao Li (ORCID: https://orcid.org/0000-0001-7348-8914)
- Lijing Wang
- Ning Li (ORCID: https://orcid.org/0000-0002-5080-5726)
- Ling Li (ORCID: https://orcid.org/0000-0001-6640-0259)
- Yajing Chen (ORCID: https://orcid.org/0000-0001-6337-3099)
- Yanan Meng (ORCID: https://orcid.org/0009-0007-0055-2576)
- Yadong Hu (ORCID: https://orcid.org/0000-0003-1704-6980)
Institutions
- Affiliated Hospital of Hebei University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-12-13
- DOI
- https://doi.org/10.3389/fnins.2024.1429088
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Hebei University