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Global prevalence of stroke-associated pneumonia: a systematic review and meta-analysis of cross-sectional studies

Top Stroke Rehabil. 2025 Nov 6:1-16. doi: 10.1080/10749357.2025.2585118. Online ahead of print.

ABSTRACT

BACKGROUND: Neurological damage resulting from stroke can impair the respiratory system, leaving stroke patients susceptible to pulmonary complications, such as stroke-associated pneumonia (SAP). Due to the substantial mortality risk associated with SAP and its complications, we conducted a systematic review and meta-analysis to estimate the global prevalence of SAP.

METHOD: A comprehensive search of MEDLINE via PubMed, EMBASE, Scopus, and Web of Science was conducted from 1 January 2014 to 7 August 2024. The cross-sectional studies were selected. The primary study outcome was the prevalence of SAP. Subgroup analysis was implemented. The random-effects method was used to implement meta-analysis. The Joanna Briggs Institute tool for prevalence was used to assess risk of bias in the included studies.

RESULT: A comprehensive search of MEDLINE via PubMed, EMBASE, Scopus, and Web of Science was conducted from 1 January 2014 to 7 August 2024. The cross-sectional studies were selected. The primary study outcome was the prevalence of SAP. Subgroup analysis was implemented. The random-effects method was used to implement meta-analysis. The Joanna Briggs Institute tool for prevalence was used to assess risk of bias in the included studies. Result The present systematic review and meta-analysis integrated data from 24 studies, encompassing 4,272,805 participants. The prevalence of SAP was 18.3% (95% CI: 13.7-23.0). Results showed significant heterogeneity among studies regarding prevalence estimates (I2= 99.74%, p<0.001). Subgroup analysis by country revealed a substantial reduction in heterogeneity within one specific subgroup (I2=0.00, P=0.67). Utilizing Begg’s and Egger’s tests showed no statistically significant evidence (P = 0.9013 and P = 0.8398, respectively) of publication bias. The trim-and-fill analysis did not impute additional studies, implying that publication bias is unlikely. A leave-one-out sensitivity analysis revealed that excluding the study by Asgedom et al. resulted in the most significant change in the overall prevalence of SAP.

CONCLUSION: Our results emphasized the need to effectively identify and manage risk factors to reduce the likelihood of SAP.

PMID:41197074 | DOI:10.1080/10749357.2025.2585118

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