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Preventive Pharmacotherapy for Cardiovascular Disease: A Modelling Study Considering Health Gain, Costs, and Cost-Effectiveness when Stratifying by Absolute Risk

dc.contributor.authorNghiem, Nhungen
dc.contributor.authorKnight, Joshen
dc.contributor.authorMizdrak, Anjaen
dc.contributor.authorBlakely, Tonyen
dc.contributor.authorWilson, Nicken
dc.date.accessioned2025-06-18T13:31:33Z
dc.date.available2025-06-18T13:31:33Z
dc.date.issued2019en
dc.description.abstractCardiovascular disease (CVD) is the leading cause of death internationally. We aimed to model the impact of CVD preventive double therapy (a statin and anti-hypertensive) by clinician-assessed absolute risk level. An established and validated multi-state life-table model for the national New Zealand (NZ) population was adapted. The new version of the model specifically considered the 60–64-year-old male population which was stratified by risk using a published NZ-specific CVD risk equation. The intervention period of treatment was for five years, but a lifetime horizon was used for measuring benefits and costs (a five-year horizon was also implemented). We found that for this group offering double therapy was highly cost-effective in all absolute risk categories (eg, NZ$1580 per QALY gained in the >20% in 5 years risk stratum; 95%UI: Dominant to NZ$3990). Even in the lowest risk stratum (≤5% risk in 5 years), the cost per QALY was only NZ$25,500 (NZ$28,200 and US$19,100 in 2018). At an individual level, the gain for those who responded to the screening offer and commenced preventive treatment ranged from 0.6 to 4.9 months of quality-adjusted life gained (or less than a month gain with a five-year horizon). Nevertheless, at the individual level, patient considerations are critical as some people may decide that this amount of average health gain does not justify taking daily medication.en
dc.description.sponsorshipThe authors thank Professor Rod Jackson and Dr. Romana Pylypchuk at the University of Auckland for their work on the PREDICT model and for data sharing. The PREDICT research project at the University of Auckland was supported by the Health Research Council (grants 03/183 and 08/121). Work on the synthetic population development by JK was supported by a PhD Scholarship associated with HRC support for the PREDICT work and the Centre of Excellence in Population Ageing Research, Australian Research Council (CEPAR) (CE170100005). The authors also thank: Professor Philip Clarke (Oxford University) and Dr. Wing Cheuk Chan of Counties Manukau District Health Board for helpful comments on the parameters and modelling, along with BODE3 colleagues who helped develop the initial TC-MSLT Model (Dr. Cristina Cleghorn, Dr. Giorgi Kvizhinadze, Dr. Linda Cobiac and June Atkinson). This modelling work was funded by the Ministry of Business, Innovation and Employment (MBIE) (grant: UOOX1406), and supported by additional modelling development work funded by the Health Research Council of New Zealand (grants: 10/248 and 16/443).en
dc.description.statusPeer-revieweden
dc.format.extent10en
dc.identifier.issn2045-2322en
dc.identifier.otherPubMed:31862895en
dc.identifier.otherORCID:/0000-0003-0078-4549/work/185684970en
dc.identifier.scopus85076897252en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85076897252&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733764380
dc.language.isoenen
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.rights © 2019, The Author(s).en
dc.sourceScientific Reportsen
dc.titlePreventive Pharmacotherapy for Cardiovascular Disease: A Modelling Study Considering Health Gain, Costs, and Cost-Effectiveness when Stratifying by Absolute Risken
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationNghiem, Nhung; University of Otagoen
local.contributor.affiliationKnight, Josh; The University of Aucklanden
local.contributor.affiliationMizdrak, Anja; University of Otagoen
local.contributor.affiliationBlakely, Tony; University of Otagoen
local.contributor.affiliationWilson, Nick; University of Otagoen
local.identifier.citationvolume9en
local.identifier.doi10.1038/s41598-019-55372-8en
local.identifier.puree0fe5245-1ca1-41ae-9ee6-f57f43fc9f7aen
local.identifier.urlhttps://www.scopus.com/pages/publications/85076897252en
local.type.statusPublisheden

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