Research advances in risk factors and prediction of stroke-associated pneumonia
Sun Yu
Song Lei
Qiu Xiaoming
Jiang Fengyin
Dong Xuelian
Fu Yufei
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.
Keywords：StrokeRisk factorsStroke-associated pneumoniaReview
Publication Date：2025-09-18
Online Publishing Date：2025-10-28(First online date of this platform, not the publication date of the document)
Pages：8( 636-643 )