Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation
These findings demonstrate that age, hypertension and SIRI were positively correlated with high BG-EPVS burden, while MoCA score and education duration were negatively correlated. The integrated model combining MoCA and inflammatory biomarkers accurately predicts BG-EPVS burden, demonstrating their clinical value in early disease screening and dynamic monitoring.
Authors
- Jiayu Lv (ORCID: https://orcid.org/0000-0001-8703-4964)
- Xia Guo (ORCID: https://orcid.org/0009-0000-9150-3153)
- Zhipeng Ju
- Wen Yong
- Lu Wang (ORCID: https://orcid.org/0009-0008-7939-9195)
- Wenlong Yu (ORCID: https://orcid.org/0009-0000-1776-4400)
- Dewang Gao
- Shuaiqiang Zhang
- Hua Li
- Lie Wu
- Shangjia Ma
- Zi Guo
- Yiming Liu
- Hao Yan
Institutions
- Baogang Group (China) (CN)
- Baotou Medical College (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fneur.2025.1665841
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.00