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

J Stroke Cerebrovasc Dis. 2013 Nov;22(8):e397-403. doi: 10.1016/j.jstrokecerebrovasdis.2013.04.018. Epub 2013 May 13.

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.

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

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Intramural

MeSH terms

  • Age Factors
  • Aged
  • Black or African American
  • Chi-Square Distribution
  • Comorbidity
  • Diagnosis, Differential
  • Emergency Medical Services
  • Female
  • Humans
  • Logistic Models
  • Male
  • National Institutes of Health (U.S.)*
  • Odds Ratio
  • Patient Care Team
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Referral and Consultation*
  • Risk Factors
  • Sex Factors
  • Stroke / diagnosis*
  • Stroke / ethnology
  • Time Factors
  • United States / epidemiology
  • White People