Abstract WP279: Evaluation of a Novel Point-of-care Neuromonitoring Device to Detect Large Vessel Occlusion in Suspected Acute Stroke Patients

Study Objectives: Several prehospital stroke scales have been developed to provide quick and accurate triage to facilitate timely treatment. This study evaluated a portable, experimental EEG device using AI as a tool for detection of acute stroke and large vessel occlusion (LVO) among patients with neurological deficits. Both device performance and feasibility in the emergent setting were assessed. Methods: This observational study enrolled a convenience sample of emergency department (ED) patients evaluated for suspected stroke within 24 hours of symptom onset. LVO and stroke status were determined by local neuroradiologists blinded to device output. LVO was defined as an acute occlusion of any of the following arteries: ICA/MCA-(M1 or M2)/vertebral/ basilar. Controls were neurologically normal subjects (NIHSS=0). Results: From May 2018 to July 2019, eight urban US stroke centers enrolled 89 subjects being evaluated for stroke. In suspected stroke subjects, 68 had stroke (76%) and 23 had LVO (26%). Mean (± SD) age was 68 (± 14), 36% were female, and the median (IQR) NIH stroke score was 6 (3 - 12) among suspected stroke subjects. The median last known well time was 327 minutes (196 - 577). Device performance for detecting LVO is shown in Table 1. There were no severe adverse events related to use of the device. Conclusion: The neuromonitoring device performed well in identifying LVO in patients presenting with suspected stroke. The performance of the neuromonitoring device in the acute setting indicates that it may be able to support prehospital decision making when triaging suspected stroke subjects. Additional studies with larger sample sizes are needed to validate this study’s findings.