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Predictors of acute stroke mimics in 8187 patients referred to a stroke service.
- Source :
-
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2013 Nov; Vol. 22 (8), pp. e397-403. Date of Electronic Publication: 2013 May 13. - Publication Year :
- 2013
-
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.<br />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.<br />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.<br />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.<br /> (Copyright © 2013 National Stroke Association. All rights reserved.)
- Subjects :
- Black or African American
Age Factors
Aged
Chi-Square Distribution
Comorbidity
Diagnosis, Differential
Emergency Medical Services
Female
Humans
Logistic Models
Male
Odds Ratio
Patient Care Team
Predictive Value of Tests
Prognosis
Prospective Studies
Risk Factors
Sex Factors
Stroke ethnology
Time Factors
United States epidemiology
White People
National Institutes of Health (U.S.)
Referral and Consultation
Stroke diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1532-8511
- Volume :
- 22
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
- Publication Type :
- Academic Journal
- Accession number :
- 23680681
- Full Text :
- https://doi.org/10.1016/j.jstrokecerebrovasdis.2013.04.018