Literature DB >> 23680681

Predictors of acute stroke mimics in 8187 patients referred to a stroke service.

José G Merino1, Marie Luby, Richard T Benson, Lisa A Davis, Amie W Hsia, Lawrence L Latour, John K Lynch, Steven Warach.   

Abstract

BACKGROUND: Some patients seen by a stroke team do not have cerebrovascular disease but a condition that mimics stroke. The purpose of this study was to determine the rate and predictors of stroke mimics in a large sample.
METHODS: This is an analysis of data from consecutive patients seen by the National Institutes of Health Stroke Program over 10 years. Data were collected prospectively as a quality improvement initiative. Patients with a cerebrovascular event or a stroke mimic were compared with the Student t or Pearson chi-square test as appropriate, and logistic regression was done to identify independent predictors.
RESULTS: The analysis included 8187 patients: 30% had a stroke mimic. Patients with a stroke mimic were younger, and the proportion of patients with a stroke mimic was higher among women, patients without any risk factors, those seen as a code stroke or who arrived to the emergency department via personal vehicle, and those who had the onset of symptoms while inpatients. The proportion of patients with a stroke mimic was marginally higher among African-Americans than Caucasians. Factors associated with the greatest odds of having a stroke mimic in the logistic regression were lack of a history of hypertension, atrial fibrillation or hyperlipidemia.
CONCLUSIONS: One third of the patients seen by a stroke team over 10 years had a stroke mimic. Factors associated with a stroke mimic may be ascertained by an emergency physician before calling the stroke team.
Copyright © 2013 National Stroke Association. All rights reserved.

Entities:  

Keywords:  Acute stroke; diagnosis; emergency medicine; stroke mimics

Mesh:

Year:  2013        PMID: 23680681      PMCID: PMC3812364          DOI: 10.1016/j.jstrokecerebrovasdis.2013.04.018

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


  16 in total

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9.  Identification of nonischemic stroke mimics among 411 code strokes at the University of California, San Diego, Stroke Center.

Authors:  Thomas M Hemmen; Brett C Meyer; Teri L McClean; Patrick D Lyden
Journal:  J Stroke Cerebrovasc Dis       Date:  2008 Jan-Feb       Impact factor: 2.136

10.  Conditions that mimic stroke in the emergency department. Implications for acute stroke trials.

Authors:  R B Libman; E Wirkowski; J Alvir; T H Rao
Journal:  Arch Neurol       Date:  1995-11
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