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. Preprints2020, 2020070444. https://doi.org/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. https://doi.org/10.20944/preprints202007.0444.v1
Allen, M.; Pearn, K.; Stein, K.; James, M. Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy. Preprints2020, 2020070444. https://doi.org/10.20944/preprints202007.0444.v1
APA Style
Allen, M., Pearn, K., Stein, K., & James, M. (2020). Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy<strong></strong>. Preprints. https://doi.org/10.20944/preprints202007.0444.v1
Chicago/Turabian Style
Allen, M., Ken Stein and Martin James. 2020 "Estimation of Stroke Outcomes Based on Time to Thrombolysis and Thrombectomy<strong></strong>" Preprints. https://doi.org/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.
Keywords
stroke; thrombolysis; thrombectomy
Subject
Medicine and Pharmacology, Clinical Medicine
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.