Risk Factors and a Prediction Model for Hemorrhagic Transformation in Acute Ischemic Stroke With Atrial Fibrillation
Our predictive model, which integrates age, LDL-C, uric acid, ASPECTS, cerebral cortex infarction, and massive cerebral infarction, can be used to predict HT after AIS in patients with AF, thereby facilitating the mitigation of adverse outcomes.
Authors
- Feng Wang (ORCID: https://orcid.org/0000-0002-1528-9711)
- Qianqian Bi (ORCID: https://orcid.org/0000-0002-3450-2477)
- Jun Zhang (ORCID: https://orcid.org/0000-0002-4706-8649)
- Jue Wang (ORCID: https://orcid.org/0009-0002-6962-0171)
- Yanqin Lu (ORCID: https://orcid.org/0000-0002-7958-6504)
- Xiaoyu Zhou (ORCID: https://orcid.org/0000-0002-3947-1788)
- Wang Fu (ORCID: https://orcid.org/0000-0002-3142-3001)
- Lili Liu (ORCID: https://orcid.org/0000-0002-5947-3385)
Institutions
- Tongji University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai Tenth People's Hospital (CN)
- Shanghai University of Medicine and Health Sciences (CN)
- Community Health Center (US)
Publication Details
- Journal
- The Neurologist
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1097/nrl.0000000000000602
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00