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Title: Air vs. Road Decision for Endovascular Clot Retrieval in a Rural Telestroke Network
Authors: Evans, James W ;O'Brien, Bill ;Gangadharan, S.;Lillicrap, T.;Miteff, F.;Garcia-Bermejo, P.;Wellings, T.;Alanati, K.;Levi, C.;Parsons, M.W.;Bivard, A.;Garcia-Esperon, C.;Spratt, N.J.
Affliation: Central Coast Local Health District
Gosford Hospital
The University of Newcastle
Issue Date: Jul-2020
Source: 11:628
Journal title: Frontiers in neurology
Department: Neurology
Abstract: Background and Purpose: Telestroke aims to increase access to endovascular clot retrieval (ECR) for rural areas. There is limited information on transfer workflow for ECR in rural settings. We sought to describe the transfer metrics for ECR in a rural telestroke network with respect to decision making. Methods: A retrospective cohort study was employed on consecutive patients transferred to the comprehensive stroke center (CSC) for ECR in a rural hub-and-spoke telestroke network between April 2013 and October 2019, by road or air. Key time-based metrics were analyzed. Results: Sixty-two patients were included. Mean age was 66 years [standard deviation (SD), 14] and median National Institutes of Health Stroke Scale 13 [interquartile range (IQR), 8-18]. Median rural-hospital-door-to-CSC-door (D2D) was 308 min (IQR, 254-351), of which 68% was spent at rural hospitals [door-in-door-out (DIDO); 214 min; IQR, 171-247]. DIDO was longer for air transfers than road (P = 0.004), primarily because of a median 87 min greater decision-to-departure time (Decision-DO, P < 0.001). In multiple linear regression analysis, intubation but not thrombolysis was associated with significantly longer DIDO. The distance at which the extra speed of an aircraft made up for the delays involved in booking an aircraft was 299 km from the CSC. Conclusions: DIDO is longer for air retrievals compared with road. Decision-DO represents the most important component of DIDO, being longer for air transfers. Systems for rapid transportation of rural ECR candidates need optimization for best patient outcomes, with decision support seen as a potential tool to achieve this.
DOI: 10.3389/fneur.2020.00628
ISSN: 1664-2295
Publicaton type: Journal Article
Keywords: Stroke
Appears in Collections:Neurology

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