Open Heart (May 2019)

Cost-effectiveness of an insertable cardiac monitor in a high-risk population in the UK

  • Mitchell S V Elkind,
  • Claudia I Rinciog,
  • Laura M Sawyer,
  • Alexander Diamantopoulos,
  • Matthew Reynolds,
  • Stylianos I Tsintzos,
  • Paul D Ziegler,
  • Maria E Quiroz,
  • Claudia Wolff,
  • Klaus K Witte

DOI
https://doi.org/10.1136/openhrt-2019-001037
Journal volume & issue
Vol. 6, no. 1

Abstract

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Objective To evaluate the cost-effectiveness of insertable cardiac monitors (ICMs) compared with standard of care (SoC) for detecting atrial fibrillation (AF) in patients at high risk of stroke (CHADS2 >2), using a UK National Health Service (NHS) perspective.Methods Using patient characteristics and clinical data from the REVEAL AF trial, a Markov model assessed the cost-effectiveness of detecting AF with an ICM compared with SoC. Costs and benefits were extrapolated across modelled patient lifetime. Ischaemic and haemorrhagic strokes, intracranial and extracranial haemorrhages and minor bleeds were modelled. Diagnostic and device costs were included, plus costs of treating stroke and bleeding events and costs of oral anticoagulants (OACs). Costs and health outcomes, measured as quality-adjusted life years (QALYs), were discounted at 3.5% per annum. One-way deterministic and probabilistic sensitivity analyses (PSA) were undertaken.Results The total per-patient cost for ICM was £13 360 versus £11 936 for SoC (namely, annual 24 hours Holter monitoring). ICMs generated a total of 6.50 QALYs versus 6.30 for SoC. The incremental cost-effectiveness ratio (ICER) was £7140/QALY gained, below the £20 000/QALY acceptability threshold. ICMs were cost-effective in 77.4% of PSA simulations. The number of ICMs needed to prevent one stroke was 21 and to cause a major bleed was 37. ICERs were sensitive to assumed proportions of patients initiating or discontinuing OAC after AF diagnosis, type of OAC used and how intense the traditional monitoring was assumed to be under SoC.Conclusions The use of ICMs to identify AF in a high-risk population is cost-effective for the UK NHS.