Improved stroke care in a primary stroke centre using AI-decision support

Cerebrovascular Diseases Extra

Abstract

Background Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning based analysis is used for faster and standardized patient selection. However, there is little information on how such software influences real-world patient management. Aims We evaluated changes in thrombolysis and thrombectomy delivery following implementation of automated analysis at a high volume primary stroke centre. Methods We retrospectively collected data on consecutive stroke patients admitted to a large university stroke centre from two identical seven-month periods in 2017 and 2018 between which the e-Stroke Suite (Brainomix, Oxford, UK) was implemented to analyse non-contrast CT and CT angiography results. Delivery of stroke care was otherwise unchanged. Patients were transferred to a hub for thrombectomy. We collected the number of patients receiving intravenous thrombolysis and/or thrombectomy, the time to treatment; and outcome at 90 days for thrombectomy. Results 399 patients from 2017 and 398 from 2018 were included in the study. From 2017 to 2018 thrombolysis rates increased from 11.5% to 18.1% with a similar trend for thrombectomy (2.8% to 4.8%). There was a trend towards shorter door-to-needle times (44 to 42 minutes) and CT-to-groin puncture times (174 to 145 minutes). There was a non-significant trend towards improved outcomes with thrombectomy. Qualitatively, physician feedback suggested that e-Stroke Suite increased decision-making confidence and improved patient flow. Conclusions Use of artificial intelligence decision support in a hyperacute stroke pathway facilitates decision-making and can improve rate and time of reperfusion therapies in a hub-and-spoke system of care.

The Author(s). Published by S. Karger AG, Basel

Article / Publication Details Open Access License / Drug Dosage / Disclaimer This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

留言 (0)

沒有登入
gif