Research advances in risk factors and prediction of stroke-associated pneumonia
10.3969/j.issn.1672-5921.2025.09.007
- VernacularTitle:卒中相关性肺炎的危险因素及风险预测研究进展
- Author:
Yu SUN
1
;
Lei SONG
;
Xiaoming QIU
;
Fengyin JIANG
;
Xuelian DONG
;
Yufei FU
Author Information
1. 430081 武汉科技大学医学部医学院
- Publication Type:Journal Article
- Keywords:
Stroke;
Risk factors;
Stroke-associated pneumonia;
Review
- From:
Chinese Journal of Cerebrovascular Diseases
2025;22(9):636-643
- CountryChina
- Language:Chinese
-
Abstract:
Stroke-associated pneumonia(SAP),a frequent complication of stroke,adversely affects clinical outcomes and functional recovery.Identifying SAP risk factors and developing robust predictive models are critical for improving patient management.This article reviews recent research advances in SAP risk factors and risk prediction,emphasizes emerging risk factors-including sarcopenia epidemiology,gut microbiota dysbiosis,and thyroid dysfunction-and novel predictive approaches such as risk stratification scores,neuroimaging,biomarkers,and artificial intelligence.We aim to enhance clinical recognition of SAP to facilitate early intervention,reduce incidence,and optimize stroke prognosis.