Evaluation of a score for the prehospital distinction between cerebrovascular disease and stroke mimic patients

Author:

Geisler Frederik1ORCID,Ali Syed F2,Ebinger Martin3,Kunz Alexander1,Rozanski Michal1,Waldschmidt Carolin1,Weber Joachim E1,Wendt Matthias4,Winter Benjamin5,Schwamm Lee H6,Audebert Heinrich J17ORCID

Affiliation:

1. Department of Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany

2. Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA

3. Department of Neurology, Medical Park Berlin Humboldtmühle, Berlin, Germany

4. Department of Neurology, Unfallkrankenhaus Berlin, Berlin, Germany

5. Department of Neurology, St. Josefs-Krankenhaus, Potsdam-Sanssouci, Germany

6. Department of Neurology, MGH Stroke Services, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

7. Center for Stroke Research Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany

Abstract

Background Patients with a sudden onset of focal neurological deficits consistent with stroke, who turn out to have alternative conditions, have been labeled stroke mimics. Aims We assessed a recently validated telemedicine-based stroke mimic score (TeleStroke mimic score; TM-score) and individual patient characteristics with regard to its discriminative value between cerebrovascular disease and stroke mimic patients in the in-person, pre-hospital setting. Methods We evaluated patients cared for in a mobile stroke unit in Berlin, Germany. We investigated whether the TM-score (comprising six parameters), Face Arm Speech Time test, and individual patient characteristics were able to differentiate cerebrovascular disease from stroke mimic patients. Results We included 423 patients (299 (70.7%) cerebrovascular disease and 124 (29.3%) stroke mimic) in the final analysis. A TM-score > 30 indicated a high probability of a cerebrovascular disease and a score ≤15 of a stroke mimic. The TM-score performed well to identify stroke mimics (area under the curve of 0.74 under receiver-operating characteristic curve analysis). The cerebrovascular disease patients were older (74.8 vs. 69.8 years, p = 0.001), had more often severe strokes (NIHSS > 14 25.8% vs. 11.3%, p = 0.001), presented more often with weakness of the face (70.9% vs. 42.7%, p = 0.001) or arm (60.9% vs. 33.9%, p = 0.001), dysarthria (59.5% vs. 40.3%, p < 0.001), history of atrial fibrillation (38.1% vs. 21.0%, p = 0.001), arterial hypertension (78.9% vs. 53.2%, p < 0.001), and less often with seizure (0.7% vs. 21.0%, p < 0.001). Conclusions The TM-score and certain patient characteristics can help paramedics and emergency physicians in the field to identify stroke mimic patients and select the most appropriate hospital destination.

Publisher

SAGE Publications

Subject

Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3