Preprint Article Version 1 This version is not peer-reviewed

Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy

Version 1 : Received: 18 July 2020 / Approved: 19 July 2020 / Online: 19 July 2020 (20:57:58 CEST)

How to cite: Allen, M.; Pearn, K.; Stein, K.; James, M. Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy. Preprints 2020, 2020070444 (doi: 10.20944/preprints202007.0444.v1). Allen, M.; Pearn, K.; Stein, K.; James, M. Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy. Preprints 2020, 2020070444 (doi: 10.20944/preprints202007.0444.v1).

Abstract

Background & Motivation: Stroke outcomes following revascularization therapy (intravenous thrombolysis, IVT, and/or mechanical thrombectomy, MT) depend critically on time from stroke onset to treatment. Different service configurations may prioritise time to IVT or time to MT. In order to evaluate alternative acute stroke care configurations, it is necessary to estimate clinical outcomes given differing times to IVT and MT. Method: Model using an algorithm coded in Python. This is available at https://github.com/MichaelAllen1966/stroke_outcome_algorithm. Results: We demonstrate how the code may be used to estimate clinical outcomes given varying times to IVT and MT. Conclusion: Python code has been developed and shared to enable estimation of clinical outcome given times to IVT and MT. Here we share pseudocode and links to full Python code.

Subject Areas

stroke; thrombolysis; thrombectomy

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.