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(Stroke. 2003;34:919.)
© 2003 American Heart Association, Inc.
Original Contributions |
From the UCLA Stroke Center and Department of Neurology, UCLA Medical Center, Los Angeles, Calif.
Correspondence to Bruce Ovbiagele, MD, UCLA Stroke Center, 710 Westwood Plaza, Los Angeles, CA 90095. E-mail Ovibes{at}mednet.ucla.edu
Background and Purpose The traditional definition of transient ischemic attack (TIA), based on an arbitrary time criterion of symptom resolution within 24 hours, is problematic because a large number of patients with traditionally defined TIAs have a relevant cerebral infarction on brain imaging. The objective of this study was to characterize the epidemiological impact of adopting a tissue-based definition of TIA.
Methods Estimates of the annual US incidence of traditionally defined transient ischemic attacks were abstracted from the literature. Models were then constructed for determining the frequency of brain injury in traditionally defined TIAs, derived from recent human studies of MR diffusion-weighted imaging (DWI) in transient cerebral ischemia.
Results Traditionally defined US TIA annual incidence rates ranged from 37 to 107 per 100 000 per year. Across 5 series, the raw frequency of DWI positivity in traditionally defined TIAs was 44%. Adjusting for an overrepresentation of longer-duration TIAs in MR series yielded an expected frequency of diffusion MRI positivity of 33% in unselected, traditionally defined TIAs. Applying this model to the US population in the year 2000 showed that adopting a tissue-based definition of TIA would decrease the annual number of events classified as TIAs from 179 840 to 120 493 and increase events classified as strokes from 821 181 to 880 520.
Conclusions Adopting a tissue-based definition of transient ischemic attack would reduce estimates of the annual incidence of TIA by 33% (sensitivity analysis range, 19% to 44%) and increase estimates of the annual incidence of stroke in the United States by 7% (range, 4% to 10%).
Key Words: cerebral ischemia, transient epidemiology incidence magnetic resonance imaging, diffusion-weighted United States
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