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Information Journal Paper

Title

Two-Stage Clinical Model for Screening the Suspected Cases of Acute Ischemic Stroke in Need of Imaging in Emergency Department, a Cross-sectional Study

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  0-0

Abstract

 Introduction: Just as failure to diagnose an acute ischemic Stroke (AIS) in a timely manner affects the patient’, s outcome,an inaccurate and misplaced impression of the AIS Diagnosis is not without its drawbacks. Here, we introduce a two-stage clinical tool to aid in the screening of AIS cases in need of imaging in the emergency department (ED). Methods: This was a multicenter cross-sectional study, in which suspected AIS patients who underwent a brain magnetic resonance imaging (MRI) were included. The 18 variables from nine existing AIS screening tools were extracted and a two-stage screening tool was developed based on expert opinion (stage-one or rule in stage) and multivariate logistic regression analysis (stage-two or rule out stage). Then, the screening performance characteristics of the two-stage mode was evaluated. Results: Data from 803 patients with suspected AISwere analyzed. Among them, 57. 4%weremale, and their overall mean age was 66. 9 ±,13. 9 years. There were 561 (69. 9%) cases with a final confirmed Diagnosis of AIS. The total sensitivity and specificity of the two-stage screening model were 99. 11% (95% CI: 98. 33 to 99. 89) and 35. 95% (95% CI: 29. 90 to 42. 0), respectively. Also, the positive and negative predictive values of two-stage screening model were 78. 20% (95% CI: 75. 17 to 81. 24) and 94. 57% (95% CI: 89. 93 to 81. 24), respectively. The area under the receiver operating characteristic (ROC) curve of the two-stage screening model for AIS was 67. 53% (95% CI: 64. 48 to 70. 58). Overall, using the two-stage screening model presented in this study, more than 11% of suspected AIS patients were not referred for MRI, and the error of this model is about 5%. Conclusion: Here, we proposed a 2-step model for approaching suspected AIS patients in ED for an attempt to safely exclude patients with the least probability of having an AIS as a Diagnosis. However, further surveys are required to assess its accuracy and it may even need some modifications.

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    APA: Copy

    KARIMI, SOMAYEH, Dutra e Oliva, Lorraine Martins, RAFIEMANESH, HOSEIN, Capitaine, Melissa Mendez, Jabre, Sarah, & BARATLOO, ALIREZA. (2023). Two-Stage Clinical Model for Screening the Suspected Cases of Acute Ischemic Stroke in Need of Imaging in Emergency Department, a Cross-sectional Study. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY), 11(1), 0-0. SID. https://sid.ir/paper/1115097/en

    Vancouver: Copy

    KARIMI SOMAYEH, Dutra e Oliva Lorraine Martins, RAFIEMANESH HOSEIN, Capitaine Melissa Mendez, Jabre Sarah, BARATLOO ALIREZA. Two-Stage Clinical Model for Screening the Suspected Cases of Acute Ischemic Stroke in Need of Imaging in Emergency Department, a Cross-sectional Study. ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY)[Internet]. 2023;11(1):0-0. Available from: https://sid.ir/paper/1115097/en

    IEEE: Copy

    SOMAYEH KARIMI, Lorraine Martins Dutra e Oliva, HOSEIN RAFIEMANESH, Melissa Mendez Capitaine, Sarah Jabre, and ALIREZA BARATLOO, “Two-Stage Clinical Model for Screening the Suspected Cases of Acute Ischemic Stroke in Need of Imaging in Emergency Department, a Cross-sectional Study,” ARCHIVES OF ACADEMIC EMERGENCY MEDICINE (EMERGENCY), vol. 11, no. 1, pp. 0–0, 2023, [Online]. Available: https://sid.ir/paper/1115097/en

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