Estimating the number of UK stroke patients eligible for endovascular thrombectomy

Peter McMeekin*, Philip M. White, Martin A. James, Christopher Price, Darren Flynn, Gary Ford

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

72 Citations (Scopus)
14 Downloads (Pure)


Introduction: Endovascular thrombectomy (EVT) is a highly effective treatment for acute ischemic stroke due to large arterial occlusion. Routine provision will require major changes in service configuration and workforce. An important first step is to quantify the population of stroke patients that could benefit. We estimated the annual UK population suitable for EVT using standard or advanced imaging (AI) for patient selection. Patients and Methods: Evidence from randomised control trials and national registries was combined to estimate UK stroke incidence and define a decision-tree describing the EVT eligible population. Results: Between 9,620 and 10,920 UK stroke patients (approximately 10% of stroke admissions) would be eligible for EVT annually. The majority (9,140 to 9,620) would present within 4 hours of onset and be suitable for intravenous thrombolysis. Advanced Imaging would exclude 500 patients presenting within 4 hours, but identify an additional 1,310 patients as eligible who present later. Discussion: Information from randomised control trials and large registry data provided the evidence criterion for 9 of the 12 decision points. The best available evidence was used for 2 decision-points with sensitivity analyses to determine how key branches of the tree affected estimates. Using the mid-point estimate for eligibility (9.6% of admissions) and assuming national EVT coverage, 4,280 patients would have reduced disability. Conclusion: A model combining published trials and register data suggests approximately 10% of all stroke admissions in the UK are eligible for EVT. The use of AI based on current published evidence did not have a major impact on overall numbers, but could alter eligibility status for 16% of cases.
Original languageEnglish
Pages (from-to)319-326
Number of pages8
JournalEuropean Stroke Journal
Issue number4
Early online date4 Oct 2017
Publication statusPublished - 1 Dec 2017


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