Early use of MRI improves diagnostic accuracy in young adults with stroke

Pratik Bhattacharya, Nandakumar Nagaraja, Kumar Rajamani, Ramesh Madhavan, Sunitha Santhakumar, Seemant Chaturvedi

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Objectives: The misdiagnosis of acute ischemic stroke in young adults is a significant problem since patients may have many decades of potential disability. Also, proven therapies for acute stroke may not be administered if there is an initial misdiagnosis. We assessed the hypothesis that early use of MRI, arrival by ambulance, and presentation to a Primary Stroke Center (PSC) would be associated with a reduced rate of misdiagnosis. Methods: A prospective database of young adults (ages 16-49 years) with ischemic stroke (final diagnosis provided by vascular neurologists) was reviewed. We collected information on several variables, including age, race, arrival by ambulance, whether brain MRI was performed within 48 h, and initial presentation to a PSC. Variables were tested against emergency department (ED) misdiagnosis using univariate and multivariate methods. Results: 77 patients with a mean age of 37.9 years were reviewed. 48.3% of patients arrived by ambulance, 53.2% had a brain MRI within 48 h, and 23.4% initially presented to a PSC. The overall rate of ED misdiagnosis was 14.5%. In multivariate testing, performance of MRI within 48 h (p = 0.023) was associated with a lower rate of misdiagnosis and age < 35 years was linked with greater likelihood of misdiagnosis (p = 0.047). Conclusions: Early performance of MRI leads to greater accuracy of stroke diagnosis in young adults presenting to the ED. Patients less than age 35 years have a greater risk of misdiagnosis. ED physicians and neurologists should consider early use of MRI in young adults with stroke-like deficits and diagnostic uncertainty.

Original languageEnglish (US)
Pages (from-to)62-64
Number of pages3
JournalJournal of the neurological sciences
Issue number1-2
StatePublished - Jan 15 2013

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology


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