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Fractional flow reserve (FFR) versus angiography in guiding management to optimise outcomes in non-ST segment elevation myocardial infarction (FAMOUS-NSTEMI) developmental trial: cost-effectiveness…

Overview of attention for article published in Cost Effectiveness and Resource Allocation, November 2015
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Title
Fractional flow reserve (FFR) versus angiography in guiding management to optimise outcomes in non-ST segment elevation myocardial infarction (FAMOUS-NSTEMI) developmental trial: cost-effectiveness using a mixed trial- and model-based methods
Published in
Cost Effectiveness and Resource Allocation, November 2015
DOI 10.1186/s12962-015-0045-9
Pubmed ID
Authors

Julian Nam, Andrew Briggs, Jamie Layland, Keith G. Oldroyd, Nick Curzen, Arvind Sood, Kanarath Balachandran, Raj Das, Shahid Junejo, Hany Eteiba, Mark C. Petrie, Mitchell Lindsay, Stuart Watkins, Simon Corbett, Brian O’Rourke, Anna O’Donnell, Andrew Stewart, Andrew Hannah, Alex McConnachie, Robert Henderson, Colin Berry

Abstract

In the Fractional flow reserve (FFR) versus angiography in guiding management to optimise outcomes in non-ST elevation myocardial infarction (FAMOUS) clinical trial, FFR was shown to significantly reduce coronary revascularisation, compared to visual interpretation of standard coronary angiography without FFR. We estimated the cost-effectiveness from a UK National Health Service perspective, based on the results of FAMOUS. A mixed trial- and model-based approach using decision and statistical modelling was used. Within-trial (1-year) costs and QALYs were assembled at the individual level and then modelled on subsequent management strategy [coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI) or medical therapy (MT)] and major adverse coronary events (death, MI, stroke and revascularisation). One-year resource uses included: material, hospitalisation, medical, health professional service use and events. Utilities were derived from individual EQ5D responses. Unit costs were derived from the literature. Outcomes were extended to a lifetime on the basis of MACE during the 1st year. Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression. The analysis adopted a payer perspective. Costs and outcomes were discounted at 3.5 %. Costs were related to the subsequent management strategy and MACE whilst QALYs were not. FFR led to a modest cost increase, albeit an imprecise increase, over both the trial [£112 (-£129 to £357)] and lifetime horizons [£133 (-£199 to £499)]. FFR led to a small, albeit imprecise, increase in QALYs over both the trial [0.02 (-0.03 to 0.06)] and lifetime horizons [0.03 (-0.21 to 0.28)]. The mean ICER was £7516/QALY and £4290/QALY over the trial and lifetime horizons, respectively. Decision remained high; FFR had 64 and 59 % probability of cost-effectiveness over trial and lifetime horizons, respectively. FFR was cost-effective at the mean, albeit with considerable decision uncertainty. Uncertainty can be reduced with more information on long-term health events.

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Mendeley readers

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The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Doctoral Student 6 12%
Other 5 10%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 8 16%
Unknown 17 34%
Readers by discipline Count As %
Medicine and Dentistry 15 30%
Agricultural and Biological Sciences 4 8%
Economics, Econometrics and Finance 3 6%
Nursing and Health Professions 2 4%
Psychology 2 4%
Other 5 10%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from Cost Effectiveness and Resource Allocation
#394
of 423 outputs
Outputs of similar age
#235,706
of 281,503 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#4
of 5 outputs
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