Literature DB >> 29122466

Novel Algorithm to Help Identify Stroke Mimics.

Nadeem Israr Khan1, Shilpa Chaku2, Christina Goehl3, Laura Endris3, Georgia Mueller-Luckey3, Fazeel M Siddiqui2.   

Abstract

BACKGROUND: Stroke is a major cause of disability in the United States. A portion of patients presenting with stroke-like symptoms in the emergency room who receive tissue plasminogen activator (tPA) do not end up having a true stroke, leading to unnecessary health-care costs. The aim of our study is to identify those patients who have a high likelihood of experiencing a stroke mimic using a novel stroke mimic score and to identify a cutoff point with a high specificity of ruling in stroke mimics.
METHODS: We reviewed literature on stroke mimics and the various associated risk factors. We devised a 9-point scoring system and applied it retrospectively to patients who received tPA from 2010 to 2014 to calculate a score for each patient.
RESULTS: The final sample size was 105 patients, out of which 25% turned out to be patients with stroke mimics. Patients with stroke mimic were significantly younger and more likely to have history of seizure, migraine, or prior psychiatric illness. History of atrial fibrillation had the highest correlation with true stroke. We found approximately 100% specificity in ruling in a stroke mimic if a patient scored more than 5 points.
CONCLUSIONS: Our stroke mimic scoring system along with a basic neurologic examination could be a useful tool in the identification of stroke mimics with a high specificity in the emergency room setting. These patients may require further studies such as rapid magnetic resonance imaging, which would decrease unnecessary tPA administration and hospital admissions.
Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stroke; algorithm; mimic; rapid sequence MRI; tissue plasminogen activator

Mesh:

Substances:

Year:  2017        PMID: 29122466     DOI: 10.1016/j.jstrokecerebrovasdis.2017.09.067

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  5 in total

1.  A novel computed tomography perfusion-based quantitative tool for evaluation of perfusional abnormalities in migrainous aura stroke mimic.

Authors:  Antonio Granato; Laura D'Acunto; Miloš Ajčević; Giovanni Furlanis; Maja Ukmar; Roberta Antea Pozzi Mucelli; Paolo Manganotti
Journal:  Neurol Sci       Date:  2020-05-26       Impact factor: 3.307

Review 2.  Emergency Department and Inpatient Management of Headache in Adults.

Authors:  Jennifer Robblee; Kate W Grimsrud
Journal:  Curr Neurol Neurosci Rep       Date:  2020-03-18       Impact factor: 5.081

3.  Effectiveness of Motivational Interviewing in Regard to Activities of Daily Living and Motivation for Rehabilitation among Stroke Patients.

Authors:  Hsiao-Mei Chen; Hsiao-Lu Lee; Fu-Chi Yang; Yi-Wen Chiu; Shu-Yuan Chao
Journal:  Int J Environ Res Public Health       Date:  2020-04-16       Impact factor: 3.390

4.  Recent developments in imaging of epilepsy.

Authors:  Roland Wiest; Roland Beisteiner
Journal:  Curr Opin Neurol       Date:  2019-08       Impact factor: 5.710

5.  Telestroke Assessment With Perfusion CT Improves the Diagnostic Accuracy of Stroke vs. Mimic.

Authors:  Lucinda Tran; Longting Lin; Neil Spratt; Andrew Bivard; Beng Lim Alvin Chew; James W Evans; William O'Brien; Christopher Levi; Timothy Ang; Khaled Alanati; Elizabeth Pepper; Carlos Garcia-Esperon; Mark Parsons
Journal:  Front Neurol       Date:  2021-12-03       Impact factor: 4.003

  5 in total

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