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   two-stage clinical model for screening the suspected cases of acute ischemic stroke in need of imaging in emergency department; a cross-sectional study  
   
نویسنده karimi somayeh ,oliva lorraine martins dutra e ,rafiemanesh hosein ,capitaine melissa mendez ,jabre sarah ,baratloo alireza
منبع archives of academic emergency medicine - 2023 - دوره : 11 - شماره : 1 - صفحه:1 -8
چکیده    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 ais were analyzed. among them, 57.4 % were male, 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.
کلیدواژه decision support techniques; emergency service ,hospital; stroke; diagnosis ,differential
آدرس tehran university of medical sciences, prehospital and hospital emergency research center, iran, nove de julho university (uninove), school of medicine, brazil, alborz university of medical sciences, non-communicable diseases research center, school of public health, department of epidemiology and biostatistics, iran, la villa general hospital, department of emergency medicine, mexico, jackson memorial hospital, department of emergency medicine, usa, police headquarter, research center for trauma in police operations, directorate of health, rescue & treatment, iran. tehran university of medical sciences, sina hospital, department of emergency medicine, iran
پست الکترونیکی arbaratloo@sina.tums.ac.ir; alirezabaratloo@yahoo.com
 
     
   
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