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Paxton JH, Keenan KJ, Wilburn JM, Wise SL, Klausner HA, Ball MT, Dunne RB, Kreitel KD, Morgan LF, Fales WD, Madhok D, Barazangi N, McLean ST, Cross K, Distenfield L, Sykes J, Lovoi P, Johnson B, Smith WS. Headpulse measurement can reliably identify large-vessel occlusion stroke in prehospital suspected stroke patients: Results from the EPISODE-PS-COVID study. Acad Emerg Med 2024. [PMID: 38643419 DOI: 10.1111/acem.14919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/26/2024] [Accepted: 03/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Large-vessel occlusion (LVO) stroke represents one-third of acute ischemic stroke (AIS) in the United States but causes two-thirds of poststroke dependence and >90% of poststroke mortality. Prehospital LVO stroke detection permits efficient emergency medical systems (EMS) transport to an endovascular thrombectomy (EVT)-capable center. Our primary objective was to determine the feasibility of using a cranial accelerometry (CA) headset device for prehospital LVO stroke detection. Our secondary objective was development of an algorithm capable of distinguishing LVO stroke from other conditions. METHODS We prospectively enrolled consecutive adult patients suspected of acute stroke from 11 study hospitals in four different U.S. geographical regions over a 21-month period. Patients received device placement by prehospital EMS personnel. Headset data were matched with clinical data following informed consent. LVO stroke diagnosis was determined by medical chart review. The device was trained using device data and Los Angeles Motor Scale (LAMS) examination components. A binary threshold was selected for comparison of device performance to LAMS scores. RESULTS A total of 594 subjects were enrolled, including 183 subjects who received the second-generation device. Usable data were captured in 158 patients (86.3%). Study subjects were 53% female and 56% Black/African American, with median age 69 years. Twenty-six (16.4%) patients had LVO and 132 (83.6%) were not LVO (not-LVO AIS, 33; intracerebral hemorrhage, nine; stroke mimics, 90). COVID-19 testing and positivity rates (10.6%) were not different between groups. We found a sensitivity of 38.5% and specificity of 82.7% for LAMS ≥ 4 in detecting LVO stroke versus a sensitivity of 84.6% (p < 0.0015 for superiority) and specificity of 82.6% (p = 0.81 for superiority) for the device algorithm (CA + LAMS). CONCLUSIONS Obtaining adequate recordings with a CA headset is highly feasible in the prehospital environment. Use of the device algorithm incorporating both CA and LAMS data for LVO detection resulted in significantly higher sensitivity without reduced specificity when compared to the use of LAMS alone.
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Affiliation(s)
- James H Paxton
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Kevin J Keenan
- Department of Neurology, University of California, Davis, Sacramento, California, USA
| | - John M Wilburn
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Stefanie L Wise
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Howard A Klausner
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Matthew T Ball
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - Robert B Dunne
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | - K Derek Kreitel
- Department of Radiology, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, Michigan, USA
| | - Larry F Morgan
- Department of Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, Michigan, USA
| | - William D Fales
- Department of Emergency Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, Michigan, USA
| | - Debbie Madhok
- Department of Emergency Medicine, University of California, San Francisco, California, USA
| | - Nobl Barazangi
- Department of Neurology, California Pacific Medical Center, San Francisco, California, USA
| | - Steven T McLean
- Department of Emergency Medicine, Ascension St. Mary's Hospital, Saginaw, Michigan, USA
| | - Katherine Cross
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | | | - Paul Lovoi
- MindRhythm, Inc., Cupertino, California, USA
| | | | - Wade S Smith
- Department of Neurology, University of California, Davis, Sacramento, California, USA
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