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Updated: Sep 16, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
Automatic Screening Risk of Stroke-Associated Pneumonia and Giving Feedback to Medical Staff Can Improve Outcomes and
Shi Cheng1, Junping Guo2, Lin Lin3
1Department of Infection Control, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Introduction:
Stroke-associated pneumonia (SAP) is a major infectious complication after stroke and has adverse impact on clinical outcomes. This study investigates whether automatic screening the risk of SAP and giving feedback to medical staff would reduce the incidence of inhospital pneumonia and improve clinical outcomes in patients with acute ischemic stroke (AIS).
Methods:
This monocentric retrospective cohort study involved eligible inpatients in neurology department of Beijing Tiantan Hospital from June 2019 to October 2023. A quality improvement program was initiated on July 1, 2021, in which validated risk models were used to screen potential risk of SAP after stroke and feedback was automatically given to medical staff by electric medical records in real time. The primary outcome was occurrence of inhospital pneumonia after stroke. In addition, the following clinical outcomes were used including inhospital urinary tract infection, length of stay (LOS), total medical cost during hospitalization, mRS score at discharge and inhospital mortality. Multivariable logistic regression was performed to evaluate the association between the quality improvement program (after versus before) and clinical outcomes.
Results:
A total number of 2,010 AIS patients were included with 652 patients in pre-implementation group and 1,358 patients in post-implementation group. It was shown that the quality improvement program was significantly associated with lower incidence of inhospital pneumonia (adjusted OR 0.421, 95% CI 0.237-0.746, p = 0.003) and better functional outcome (mRS ≤2) (adjusted OR 1.332, 95% CI 1.003-1.769, p = 0.048). In addition, it was illustrated that the program was significantly associated with shorter LOS (≤7 days) (adjusted OR 3.914, 95% CI 2.865-5.347, p < 0.001) and lower total healthcare cost during hospitalization (>15,000 CNY) (adjusted OR 0.479, 95% CI 0.392-0.586, p < 0.001).
Conclusion:
SAP risk screening and giving feedback to medical staff is an effective way to reduce inhospital pneumonia, improve functional outcome, and save healthcare cost after stroke.
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