Alireza Baratloo; Mahtab Ramezani; Hosein Rafiemanesh; Meisam Sharifi; Somayeh Karimi
Volume 22, Issue 1 , January 2023, , Pages 58-62
Abstract
Background: We believe that designing a new tool which is comparable in terms of both sensitivity and specificity may play an important role in rapid and more accurate diagnosis of acute ischemic stroke (AIS) in prehospital stage. Therefore, we intended to develop a new clinical tool for the diagnosis ...
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Background: We believe that designing a new tool which is comparable in terms of both sensitivity and specificity may play an important role in rapid and more accurate diagnosis of acute ischemic stroke (AIS) in prehospital stage. Therefore, we intended to develop a new clinical tool for the diagnosis of AIS in the prehospital stage.Methods: This was a cross-sectional diagnostic accuracy study. All patients transferred to the emergency department (ED) who underwent brain magnetic resonance imaging (MRI) with impression of AIS were evaluated by 9 clinical tools for stroke diagnosis in the pre-hospital phase including Rapid Arterial Occlusion Evaluation (RACE), Cincinnati Prehospital Stroke Scale (CPSS), Los Angeles Prehospital Stroke Screen (LAPSS), Melbourne Ambulance Stroke Screen (MASS), Medic Prehospital Assessment for Code Stroke (Med PACS), Ontario Prehospital Stroke Screening Tool (OPSS), PreHospital Ambulance Stroke Test (PreHAST), Recognition of Stroke in the Emergency Room (ROSIER), and Face Arm Speech Test (FAST), and totally 19 items were reviewed and recorded. The new clinical tool was developed based on backward method of multivariable logistic regression analysis. The discrimination power of the new clinical tool for diagnosis of AIS was assessed with the area under the receiver operating characteristic curve (AUC-ROC).Results: Data from 806 patients were analyzed; of them, 57.4% were men. The mean age of the study patients was 66.9 years [standard deviation (SD) = 13.9]. In the multivariable model, 8 items remained. The AUC-ROC of the new clinical tool was 0.893 [95% confidence interval (CI): 0.869-0.917], and its best cut-off point was score ≥ 3 for positive AIS. At this cut-off point, sensitivity and specificity were 84.42% and 79.72%, respectively.Conclusion: We introduced a new nomogram-based clinical tool for the diagnosis of AIS in the prehospital stage, which has acceptable specificity and sensitivity; moreover, it is comparable with previous tools.
Shahram Rafie; Narges Mofrad-Booshehri; Davood Shalil-Ahmadi; Elham Maraghi
Abstract
Background: According to the American Heart Association and American Stroke Association (AHA/ASA) guidelines, in acute stroke, the door-to-computed tomography (CT) scan (DTC) time should be less than 25 minutes, and time to injection of recombinant tissue-type plasminogen activator (r-tPA) [door-to-needle ...
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Background: According to the American Heart Association and American Stroke Association (AHA/ASA) guidelines, in acute stroke, the door-to-computed tomography (CT) scan (DTC) time should be less than 25 minutes, and time to injection of recombinant tissue-type plasminogen activator (r-tPA) [door-to-needle (DTN) time] should be less than 60 minutes.Methods: We had a tendency to prospectively collect the clinical and time information of patients who received r-tPA during one year after the initiation of prehospital notification (PN). Patients were divided into three groups, covering patients transferred by Emergency Medical Service (EMS) with and without PN, and non-EMS. We then contrasted the impact of EMS with PN and EMS use on onset-to-needle time (ONT), and the neurological outcome. Good outcome was determined as Modified Rankin Scale (MRS) ≤ 2 at 3-month follow-up.Results: Among 102 studied patients, 64% were transferred by EMS, of whom 53.9% entered PN. Compared with non-PN groups, EMS with PN group showed significantly shorter DTN and DTC time, as well as ONT.Conclusion: Our study showed that EMS with PN, rather than EMS, significantly improved stroke outcome by shortening of ONT.
Somayeh Karimi; Farhad Heydari; Sahar Mirbaha; Mohamed Elfil; Alireza Baratloo
Abstract
Background: Andsberg et al. have recently introduced a novel scoring system entitled “PreHospital Ambulance Stroke Test (PreHAST)”, which helps to early identification of patients with acute ischemic stroke (AIS) even in prehospital setting. Its validity has not been assessed in a study yet, ...
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Background: Andsberg et al. have recently introduced a novel scoring system entitled “PreHospital Ambulance Stroke Test (PreHAST)”, which helps to early identification of patients with acute ischemic stroke (AIS) even in prehospital setting. Its validity has not been assessed in a study yet, and the purpose of this study was to assess this scoring system on a larger scale to provide further evidence in this regard. Methods: This was a cross-sectional multi-center accuracy study, in which, sampling was performed prospectively. All patients over 18 years of age admitted to the emergency department (ED) and suspected as AIS cases were included. All required data were recorded in a form consisting of 3 parts: baseline characteristics, neurological examination findings required for calculating PreHAST score, and the ultimate diagnosis made from interpretation of their brain magnetic resonance imaging (MRI). Results: Data from 805 patients (57.5% men) with the mean age of 67.1 ± 13.6 years were analyzed. Of all the patients presenting with suspected AIS, 562 (69.8%) had AIS based on their MRI findings. At the suggested cut-off point (score ≥ 1), PreHAST had a specificity of 46.5% [95% confidence interval (CI): 40.1%-53.0%) and a sensitivity of 93.2% (95% CI: 90.8%-95.2%). Conclusion: According to the findings of our study, at the suggested cut-off point (score ≥ 1), PreHAST had 93.2% sensitivity and 46.5% specificity in detection of patients with AIS, which were somewhat different from those reported in the original study, where 100% sensitivity and 40% specificity were reported for this scoring system.
