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Long-term healthcare use and costs in patients with stable coronary artery disease: a population-based cohort using linked health records (CALIBER)

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posted on 2016-05-17, 08:21 authored by Simon Walker, Miqdad Asaria, Andrea Manca, Stephen Palmer, Chris P. Gale, Anoop Dinesh Shah, Keith R. Abrams, Michael Crowther, Adam Timmis, Harry Hemingway, Mark Sculpher
AIMS: To examine long-term healthcare utilization and costs of patients with stable coronary artery disease (SCAD). METHODS AND RESULTS: Linked cohort study of 94 966 patients with SCAD in England, 1 January 2001 to 31 March 2010, identified from primary care, secondary care, disease, and death registries. Resource use and costs, and cost predictors by time and 5-year cardiovascular disease (CVD) risk profile were estimated using generalized linear models. Coronary heart disease hospitalizations were 20.5% in the first year and 66% in the year following a non-fatal (myocardial infarction, ischaemic or haemorrhagic stroke) event. Mean healthcare costs were £3133 per patient in the first year and £10 377 in the year following a non-fatal event. First-year predictors of cost included sex (mean cost £549 lower in females), SCAD diagnosis (non-ST-elevation myocardial infarction cost £656 more than stable angina), and co-morbidities (heart failure cost £657 more per patient). Compared with lower risk patients (5-year CVD risk 3.5%), those of higher risk (5-year CVD risk 44.2%) had higher 5-year costs (£23 393 vs. £9335) and lower lifetime costs (£43 020 vs. £116 888). CONCLUSION: Patients with SCAD incur substantial healthcare utilization and costs, which varies and may be predicted by 5-year CVD risk profile. Higher risk patients have higher initial but lower lifetime costs than lower risk patients as a result of shorter life expectancy. Improved cardiovascular survivorship among an ageing CVD population is likely to require stratified care in anticipation of the burgeoning demand.

Funding

The study was funded by the UK National Institute for Health Research (NIHR) (RP-PG-0407-10314) and the Wellcome Trust (WT 086091/Z/08/Z) and was supported by the Farr Institute of Health Informatics Research, funded by The Medical Research Council (K006584/1) in partnership with Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the NIHR, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates), and the Wellcome Trust. The views and opinions expressed within the paper do not necessarily reflect those of the NIHR or the UK Department of Health. A.D.S. is supported by a Wellcome Trust clinical research training fellowship (0938/30/Z/10/Z). C.P.G. is funded by the National Institute for Health Research (NIHR-CTF-2014-03-03) as Associate Professor and Honorary Consultant Cardiologist. This work made use of the facilities of N8 HPC provided and funded by the N8 consortium and EPSRC (Grant No. EP/K000225/1). The Centre is co-ordinated by the Universities of Leeds and Manchester. Funding to pay the Open Access publication charges for this article was provided by University College London.

History

Citation

European Heart Journal, 2016, 2 (2), pp. 125-140

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciences

Version

  • VoR (Version of Record)

Published in

European Heart Journal

Publisher

Oxford University Press on behalf of the European Society of Cardiology

issn

2058-5225

eissn

1522-9645

Copyright date

2016

Available date

2016-05-17

Publisher version

http://ehjqcco.oxfordjournals.org/content/2/2/125

Language

en

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