Association of biological age markers with stroke prevalence: Insights from a cross-sectional study
These findings suggest biological age, particularly PhenoAge and its acceleration, may enhance stroke risk stratification and management, improving clinical outcomes.
Authors
- Ran Xu (ORCID: https://orcid.org/0000-0002-2816-8468)
- Shuaiwei Guo
- Tianhua Li (ORCID: https://orcid.org/0000-0002-3099-905X)
- Zixuan Xing (ORCID: https://orcid.org/0000-0001-7935-2575)
- Bo Zhou
- Yixin Sun
- Jiayao Li
- Tao Wang
- Liqun Jiao
- Xintao Lyu
- Xinyu Yang
- Yaohui Jiang
- Wenjing Li
- Xiao Zhang
- Shengyan Cui
- Adam A. Dmytriw
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Beijing Jiaotong University (CN)
- Sichuan University (CN)
- Massachusetts General Hospital (US)
- West China Hospital of Sichuan University (CN)
- Shandong Institute of Automation (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Institute of Automation (CN)
- Xiyuan Hospital (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Journal of the Neurological Sciences
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1016/j.jns.2026.125843
- Citations
- 1
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 31.52
Funders
- National Natural Science Foundation of China
- Capital Medical University
- Beijing Municipal Administration of Hospitals
- Beijing Nova Program