Predicting pneumonia algorithm in stroke patients
This study developed a highly accurate predictive algorithm for post-stroke pneumonia, emphasizing the role of defense mechanisms against pneumonia. Implementing this algorithm in clinical practice could enable early preventive measures, reduce pneumonia incidence, and improve patient outcomes.
Authors
- Deog Young Kim (ORCID: https://orcid.org/0000-0001-7622-6311)
- Hang Jea Jang (ORCID: https://orcid.org/0000-0001-7733-4365)
- Yeomin Yun (ORCID: https://orcid.org/0000-0003-0927-107X)
- Hyun-Joung Lee
- Jongweon Lee (ORCID: https://orcid.org/0000-0003-0361-5986)
Institutions
- Yonsei University (KR)
- Samsung Medical Center (KR)
- Wonkwang Digital University (KR)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-11-19
- DOI
- https://doi.org/10.3389/fneur.2025.1690049
- Citations
- 1
- Primary Topic
- Dysphagia Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 3.12