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Research Article Open access CC BY 4.0

Assessment of Effectiveness of the Recognition of Stroke in the Emergency Room Scale in Emergency Department of Suez Canal University Hospital, Egypt

Sarah Khaled Abdelaati, Nashwa M. Abdelgeleel, Ahmed El Sayed Abou Zeid, Rasha M. Ahmed

Journal of Advances in Medical and Pharmaceutical Sciences · pp. 42–53 · Published 19 Oct 2022

10.9734/jamps/2022/v24i8573

Abstract

Background: The Recognition of Stroke in The Emergency Room (ROSIER( scale has been designed to provide physicians in the emergency department with a framework which can be used to assess patients with suspected stroke and to facilitate early identification of acute stroke & appropriate referral. Aims: To assess the sensitivity and specificity of the ROSIER score in order to improve outcome of stoke patients. Methodology: The current study was designed as a prospective cross sectional study that included Patients over 18 years of age with suspected stroke presenting at emergency department in Suez Canal university hospital. Results: Patients with stroke formed about 65.2% of the patients with suspected stroke in the ER. Patients with stroke/ TIA were found to have significantly higher age compared to other patients (63.58 ±12.55 vs 39.18±11.12) (p<0.001). The most frequent comorbid diseases among patients were hypertension and diabetes mellitus. For ROSIER accuracy, a value of 1.00 or more was found to be the best cut-off point for prediction of stoke among patients attending with suspected stroke, with sensitivity = 98.3% and specificity = 87.5 % and accuracy= 94.5%. Conclusion: The ROSIER scale is simple, rapid, effective and sensitive screening tool in early detection of patients presenting with stroke and differentiating stroke from stroke mimics in the emergency room.

ROSIER scale stroke emergency department

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Cited by 1

Recognition of Stroke in the Emergency Room (ROSIER) Scale in Identifying Strokes and Transient Ischemic Attacks (TIAs); a Systematic Review and Meta-Analysis

Iman Chehregani Rad, A. Azimi · Archives of Academic Emergency Medicine · 2023

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