Abstract

Background: Stroke mimics are often difficult to distinguish from true ischemic and hemorrhagic cerebrovascular accidents, and present a challenge for appropriate delivery of rapid stroke treatment. This is particularly true in ultra-early stroke care with Mobile Stroke Units (MSU), which administer tPA in the field, within minutes of symptom onset. We sought to evaluate and characterize stroke mimics during prehospital care with an MSU at a Comprehensive Stroke Center. Methods: The study compared patient and stroke characteristics, neurologic evaluation, and treatment between confirmed strokes and stroke mimics treated during a one-year pilot period on the MSU at a large urban medical center. Variables included patient demographics, NIHSS score, tPA administration, final diagnosis, and discharge disposition. Results: Between Jan. 15, 2016 and Jan. 9, 2017, 47 patients received prehospital management on the MSU, and 44 were admitted to UC hospital and had an available final diagnosis. Of these, 12 (27%) were stroke mimics. Mimics were younger [median age 60 (IQR 54-71) years, mimics vs. 68 (IQR 60-77) years, strokes], and were more often female (58%, mimics vs. 47%, strokes). Initial NIHSS score was lower for confirmed strokes [median 3 (IQR 2-10) strokes, vs. 6 (IQR 4-12) mimics], but severe strokes with a NIHSS score >17, were more common in strokes (16%, strokes vs. 0%, mimics). Of mimics, 6 (50%) were seizures, 2 (17%) migraine, 2 (17%) conversion, 1 (8%) encephalopathy, and 1 (8%) delirium. Thirteen (30%) of all patients were treated with IV tPA on the MSU, of whom 4 (31%) were mimics. Of mimics given tPA, 2 were seizures, 1 migraine and 1 conversion. Mimics were more likely to be discharged to home (64%, mimics vs. 46%, strokes) while strokes more likely received rehabilitation (23%, strokes vs. 9%, mimics). Conclusions: One third of patients treated on the MSU were stroke mimics, and among these the most common diagnosis was seizures. These results suggest vigilance is warranted for seizure, as well as further study of rapid EEG technologies to guide appropriate treatment for presentations that appear to be stroke, including antiepileptic drugs, in ultra-early MSU care of suspected CVA.

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