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‘Valve for Life’: tackling the deficit in transcatheter treatment of heart valve disease in the UK

Abstract:
Objectives To provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect NHS England waiting list duration and associated mortality. Design We constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the following strategies may affect the time to clear the backlog of patients waiting for treatment and the associated waiting list mortality. Interventions 1) increasing the capacity for the treatment of severe AS, 2) converting proportions of cases from surgery to transcatheter aortic valve implantation, and 3) a combination of these two. Results In a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (95% CI, 533–848) days with 1419 (95% CI, 597–2189) deaths whilst waiting during this time. A 20% capacity increase would require 535 (95% CI, 434–666) days, with an associated mortality of 1172 (95% CI, 466–1859). A combination of converting 40% cases and increasing capacity by 20% would clear the backlog within a year (343 (95% CI, 281–410) days) with 784 (95% CI, 292–1324) deaths whilst awaiting treatment. Conclusion A strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 ‘recovery’ period. However, plausible adaptations will still incur a substantial wait and many hundreds dying without treatment
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-9597-4451
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Role:
Author
ORCID:
0000-0002-4354-8899
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-9457-0570
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Role:
Author
ORCID:
0000-0002-3838-1174


Publisher:
BMJ Publishing Group
Journal:
Open Heart More from this journal
Volume:
8
Issue:
1
Pages:
e001547-e001547
Publication date:
2021-03-25
Acceptance date:
2021-03-05
DOI:
EISSN:
2053-3624
ISSN:
2053-3624


Language:
English
Keywords:
Pubs id:
1169896
Local pid:
pubs:1169896
Source identifiers:
W3136289526
Deposit date:
2026-02-14
ARK identifier:
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