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Identification of Stroke Mimics in the Emergency Department Setting
BACKGROUND AND PURPOSE: Previous studies have shown a stroke mimic rate of 9%–31%. We aimed to establish the proportion of stroke mimics amongst suspected acute strokes, to clarify the aetiology of stroke mimic and to develop a prediction model to identify stroke mimics. METHODS: This was a retrospe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676321/ https://www.ncbi.nlm.nih.gov/pubmed/23818805 |
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author | Tobin, W. Oliver Hentz, Joseph G. Bobrow, Bentley J. Demaerschalk, Bart M. |
author_facet | Tobin, W. Oliver Hentz, Joseph G. Bobrow, Bentley J. Demaerschalk, Bart M. |
author_sort | Tobin, W. Oliver |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Previous studies have shown a stroke mimic rate of 9%–31%. We aimed to establish the proportion of stroke mimics amongst suspected acute strokes, to clarify the aetiology of stroke mimic and to develop a prediction model to identify stroke mimics. METHODS: This was a retrospective cohort observational study. Consecutive “stroke alert” patients were identified over nine months in a primary stroke centre. 31 variables were collected. Final diagnosis was defined as “stroke” or “stroke mimic”. Multivariable regression analysis was used to define clinical predictors of stroke mimic. RESULTS: 206 patients were reviewed. 22% were classified as stroke mimics. Multivariable scoring did not help in identification of stroke mimics. 99.5% of patients had a neurological diagnosis at final diagnosis. DISCUSSION: 22% of patients with suspected acute stroke had a stroke mimic. The aetiology of stroke mimics was varied, with seizure, encephalopathy, syncope and migraine being commonest. Multivariable scoring for identification of stroke mimics is not feasible. 99.5% of patients had a neurological diagnosis. This strengthens the case for the involvement of stroke neurologists/stroke physicians in acute stroke care. |
format | Online Article Text |
id | pubmed-3676321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-36763212013-07-01 Identification of Stroke Mimics in the Emergency Department Setting Tobin, W. Oliver Hentz, Joseph G. Bobrow, Bentley J. Demaerschalk, Bart M. J Brain Dis Original Research BACKGROUND AND PURPOSE: Previous studies have shown a stroke mimic rate of 9%–31%. We aimed to establish the proportion of stroke mimics amongst suspected acute strokes, to clarify the aetiology of stroke mimic and to develop a prediction model to identify stroke mimics. METHODS: This was a retrospective cohort observational study. Consecutive “stroke alert” patients were identified over nine months in a primary stroke centre. 31 variables were collected. Final diagnosis was defined as “stroke” or “stroke mimic”. Multivariable regression analysis was used to define clinical predictors of stroke mimic. RESULTS: 206 patients were reviewed. 22% were classified as stroke mimics. Multivariable scoring did not help in identification of stroke mimics. 99.5% of patients had a neurological diagnosis at final diagnosis. DISCUSSION: 22% of patients with suspected acute stroke had a stroke mimic. The aetiology of stroke mimics was varied, with seizure, encephalopathy, syncope and migraine being commonest. Multivariable scoring for identification of stroke mimics is not feasible. 99.5% of patients had a neurological diagnosis. This strengthens the case for the involvement of stroke neurologists/stroke physicians in acute stroke care. Libertas Academica 2009-03-31 /pmc/articles/PMC3676321/ /pubmed/23818805 Text en © 2009 the author(s) This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://www.creativecommons.org/licenses/by/3.0/). |
spellingShingle | Original Research Tobin, W. Oliver Hentz, Joseph G. Bobrow, Bentley J. Demaerschalk, Bart M. Identification of Stroke Mimics in the Emergency Department Setting |
title | Identification of Stroke Mimics in the Emergency Department Setting |
title_full | Identification of Stroke Mimics in the Emergency Department Setting |
title_fullStr | Identification of Stroke Mimics in the Emergency Department Setting |
title_full_unstemmed | Identification of Stroke Mimics in the Emergency Department Setting |
title_short | Identification of Stroke Mimics in the Emergency Department Setting |
title_sort | identification of stroke mimics in the emergency department setting |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676321/ https://www.ncbi.nlm.nih.gov/pubmed/23818805 |
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