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Cost-Effectiveness Analysis of Non-Statin Lipid-Modifying Agents for Secondary Cardiovascular Disease Prevention Among Statin-Treated Patients in Thailand

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dc.contributor.author Kongpakwattana K.
dc.contributor.author Ademi Z.
dc.contributor.author Chaiyasothi T.
dc.contributor.author Nathisuwan S.
dc.contributor.author Zomer E.
dc.contributor.author Liew D.
dc.contributor.author Chaiyakunapruk N.
dc.date.accessioned 2021-04-05T03:02:38Z
dc.date.available 2021-04-05T03:02:38Z
dc.date.issued 2019
dc.identifier.issn 11707690
dc.identifier.other 2-s2.0-85068326898
dc.identifier.uri https://ir.swu.ac.th/jspui/handle/123456789/12295
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068326898&doi=10.1007%2fs40273-019-00820-6&partnerID=40&md5=315acc86b58df0935b662f95a1c5db76
dc.description.abstract Background: Using non-statin lipid-modifying agents in combination with statin therapy provides additional benefits for cardiovascular disease (CVD) risk reduction, but their value for money has only been evaluated in high-income countries (HICs). Furthermore, studies mainly derive effectiveness data from a single trial or older meta-analyses. Objectives: Our study used data from the most recent network meta-analysis (NMA) and local parameters to assess the cost effectiveness of non-statin agents in statin-treated patients with a history of CVD. Methods: A published Markov model was adopted to investigate lifetime outcomes: (1) number of recurrent CVD events prevented, (2) quality-adjusted life-years (QALYs) gained, (3) costs and (4) incremental cost-effectiveness ratios (ICERs) of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) and ezetimibe added to statin therapy. Event rates and effectiveness inputs were obtained from the NMA. Cost and utility data were gathered from published studies conducted in Thailand. A series of sensitivity analyses were performed. Results: Patients receiving PCSK9i and ezetimibe experienced fewer recurrent CVD events (number needed to treat [NNT] 17 and 30) and more QALYs (0.168 and 0.096 QALYs gained per person). However, under the societal perspective and at current acquisition costs in 2018, ICERs of both agents were $US1,223,995 and 27,361 per QALY gained, respectively. Based on threshold analyses, the costs need to be reduced by 97 and 85%, respectively, for PCSK9i and ezetimibe to be cost-effective. Conclusions: Despite the proven effectiveness of PCSK9i and ezetimibe, the costs of these agents need to reduce to a much greater extent than in HICs to be cost-effective in Thailand. © 2019, Springer Nature Switzerland AG.
dc.subject ezetimibe
dc.subject hydroxymethylglutaryl coenzyme A reductase inhibitor
dc.subject proprotein convertase 9 inhibitor
dc.subject serine proteinase inhibitor
dc.subject unclassified drug
dc.subject ezetimibe
dc.subject hydroxymethylglutaryl coenzyme A reductase inhibitor
dc.subject hypocholesterolemic agent
dc.subject PCSK9 protein, human
dc.subject proprotein convertase 9
dc.subject Article
dc.subject cardiovascular disease
dc.subject cost effectiveness analysis
dc.subject health care cost
dc.subject human
dc.subject meta analysis
dc.subject network meta-analysis
dc.subject priority journal
dc.subject quality adjusted life year
dc.subject secondary prevention
dc.subject Thailand
dc.subject cardiovascular disease
dc.subject combination drug therapy
dc.subject cost benefit analysis
dc.subject economics
dc.subject Markov chain
dc.subject secondary prevention
dc.subject Anticholesteremic Agents
dc.subject Cardiovascular Diseases
dc.subject Cost-Benefit Analysis
dc.subject Drug Therapy, Combination
dc.subject Ezetimibe
dc.subject Humans
dc.subject Hydroxymethylglutaryl-CoA Reductase Inhibitors
dc.subject Markov Chains
dc.subject Network Meta-Analysis
dc.subject Proprotein Convertase 9
dc.subject Quality-Adjusted Life Years
dc.subject Secondary Prevention
dc.subject Thailand
dc.title Cost-Effectiveness Analysis of Non-Statin Lipid-Modifying Agents for Secondary Cardiovascular Disease Prevention Among Statin-Treated Patients in Thailand
dc.type Article
dc.rights.holder Scopus
dc.identifier.bibliograpycitation PharmacoEconomics. Vol 37, No.10 (2019), p.1277-1286
dc.identifier.doi 10.1007/s40273-019-00820-6


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