Large-Scale Plasma Proteomics Profiles for Predicting Ischemic Stroke Risk in the General Population
A simple model, including age, sex, and the IS protein risk score (or only the top 5 proteins) had a good predictive performance for IS risk.
Authors
- Xiaoqin Gan (ORCID: https://orcid.org/0009-0002-1906-666X)
- Xianhui Qin (ORCID: https://orcid.org/0000-0001-7812-7982)
- Yanjun Zhang (ORCID: https://orcid.org/0009-0000-0637-5549)
- Yiting Wu (ORCID: https://orcid.org/0000-0001-8079-9497)
- Ziliang Ye (ORCID: https://orcid.org/0000-0002-8626-4925)
- Sisi Yang (ORCID: https://orcid.org/0009-0008-2696-9107)
- Yuanyuan Zhang (ORCID: https://orcid.org/0000-0002-9894-248X)
- Yiwei Zhang (ORCID: https://orcid.org/0000-0001-9611-9337)
- Hao Xiang (ORCID: https://orcid.org/0000-0003-4823-2890)
- Yu Huang (ORCID: https://orcid.org/0000-0001-5355-0047)
Institutions
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Stroke
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1161/strokeaha.124.048654
- Citations
- 15
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.61