Abstract 19: Prehospital Identification of Acute Ischemic Stroke is Associated With Faster and More Frequent Thrombolysis

Abstract

Background: Functional outcomes are improved when AIS patients receive faster treatment. The first medical contact for many AIS patients is with emergency medical services (EMS) providers. We hypothesize that AIS treatment is faster when EMS providers suspect stroke. Methods: We performed a retrospective analysis of the Greater Cincinnati/Northern Kentucky Stroke Study, a comprehensive study of stroke patients in a large geographical area with 1.3 million inhabitants whose demographics are representative of the United States. We compared AIS patients age ≥18 years transported by EMS in 2015 with an EMS impression of “stroke” or “weakness/numbness” to those with other EMS impressions. Primary outcome was thrombolysis rate, and secondary outcomes were times from EMS scene arrival to ED arrival, CT, and treatment and times from ED arrival to CT and treatment. Chi-square and Mann-Whitney U-tests were used to compare treatment rates and times, respectively. Logistic regression (for rates) and median regression (for times) adjusted for NIHSS, GCS, age, sex, race, and prior stroke history. Results: Among 2,486 confirmed AIS patients from 1/1/2015-12/31/2015, 868 were transported by EMS, including 595 (69%) with EMS suspected stroke. Compared to EMS non-suspected strokes, patients with EMS suspected stroke patients were more likely to receive thrombolysis (18% vs 8%; OR 2.67, 95% CI 1.63-4.47) and had faster prehospital transport (30 vs 32 min, p=0.02), ED arrival to CT (27 vs 46 min, p<0.01) and thrombolysis (64 vs 83 min, p=0.03), and EMS scene arrival to thrombolysis (91 vs 118 min, p=0.03) and EVT (164 vs 250 min, p=0.03). Findings were maintained in the adjusted models except for EMS arrival to EVT (Table). Conclusions: In a large population-based study, EMS stroke identification is associated with a higher rate of and faster thrombolysis. Efforts to increase accuracy of EMS stroke identification is likely to have significant clinical impact by shortening treatment times.