Cost-Effectiveness Analysis of Pharmacogenomics-Guided Versus Standard Dosing of Warfarin in Patients with Mechanical Prosthetic Heart Valve

IF 1.8 4区 医学 Q3 PHARMACOLOGY & PHARMACY Iranian Journal of Pharmaceutical Research Pub Date : 2024-05-14 DOI:10.5812/ijpr-143898
Homa Hemati, M. Nosrati, M. Hasanzad, Parham Rahmani, Soroush Fariman, Mohadese Sarabi, Sepideh Shirvani, P. Sadeghipour, S. Nikfar
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Abstract

Background: Warfarin is the only approved anticoagulant for antithrombotic treatment in patients with mechanical prosthetic heart valves (MPHV). However, dosing warfarin is challenging due to its narrow therapeutic window and highly variable clinical outcomes. Both low and high doses of warfarin can lead to thrombotic and bleeding events, respectively, with these complications being more severe in individuals with sensitive genetic polymorphisms. Incorporating genetic testing could enhance the accuracy of warfarin dosing and minimize its adverse events. Objectives: This study aims to evaluate the utilities and cost-effectiveness of pharmacogenomics-guided versus standard dosing of warfarin in patients with MPHV in Iran. Methods: In this economic evaluation study, a cost-effectiveness analysis was conducted to compare pharmacogenomics-guided versus standard warfarin dosing. Data related to quality of life (QoL) were collected through a cross-sectional study involving 105 randomly selected MPHV patients using the EuroQol-5D (EQ-5D) Questionnaire. Costs were calculated with input from clinical experts and a review of relevant guidelines. Additional clinical data were extracted from published literature. The pharmacoeconomic threshold set for medical interventions within Iran's healthcare system was $1,500. A decision tree model was designed from the perspective of Iran's healthcare system with a one-year study horizon. Sensitivity analyses were also performed to assess the uncertainty of input parameters. Results: The utility scores derived from the questionnaire for standard and pharmacogenomics-guided warfarin treatments were 0.68 and 0.76, respectively. Genotype-guided dosing of warfarin was more costly compared to the standard dosing ($246 vs $69), and the calculated incremental cost-effectiveness ratio (ICER) was $2474 per quality-adjusted life year (QALY) gained. One-way sensitivity analyses showed that our model is sensitive to the percentage of time in the therapeutic range (PTTR), the cost of genetic tests, and the utility of both pharmacogenomics-guided and standard dosing arms. However, the probabilistic sensitivity analysis demonstrates the robustness of our model. Conclusions: Warfarin dosing with pharmacogenomics testing is currently not cost-effective. However, if the cost of genotyping tests decreases to $118, the ICER would become cost-effective.
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机械人工心脏瓣膜患者在药物基因组学指导下服用华法林与标准剂量的成本效益分析
背景:华法林是唯一获准用于机械人工心脏瓣膜(MPHV)患者抗血栓治疗的抗凝剂。然而,由于华法林的治疗窗口狭窄且临床结果千变万化,因此给药具有挑战性。低剂量和高剂量的华法林可分别导致血栓和出血事件,而这些并发症在具有敏感基因多态性的个体中更为严重。结合基因检测可提高华法林剂量的准确性,并将其不良反应降至最低。研究目的本研究旨在评估伊朗 MPHV 患者在药物基因组学指导下服用华法林与标准剂量服用华法林的效用和成本效益。方法:在这项经济评估研究中,采用了一项成本效益分析:在这项经济评估研究中,对药物基因组学指导与标准华法林剂量进行了成本效益分析比较。与生活质量(QoL)相关的数据是通过一项横断面研究收集的,该研究使用 EuroQol-5D (EQ-5D) 问卷随机抽取了 105 名 MPHV 患者。成本的计算参考了临床专家的意见和相关指南。此外,还从已发表的文献中提取了其他临床数据。伊朗医疗保健系统内医疗干预的药物经济学阈值设定为 1,500 美元。从伊朗医疗保健系统的角度设计了一个决策树模型,研究期限为一年。还进行了敏感性分析,以评估输入参数的不确定性。研究结果通过问卷调查得出的华法林标准治疗和药物基因组学指导治疗的效用得分分别为 0.68 和 0.76。与标准剂量相比,基因型指导下的华法林剂量成本更高(246 美元对 69 美元),计算得出的增量成本效益比 (ICER) 为每获得质量调整生命年 (QALY) 2474 美元。单向敏感性分析表明,我们的模型对治疗范围内的时间百分比(PTTR)、基因检测费用以及药物基因组学指导用药和标准用药臂的效用都很敏感。然而,概率敏感性分析表明了我们模型的稳健性。结论通过药物基因组学检测确定华法林剂量目前并不具有成本效益。但是,如果基因分型检测的成本降至 118 美元,ICER 将变得具有成本效益。
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
52
审稿时长
2 months
期刊介绍: The Iranian Journal of Pharmaceutical Research (IJPR) is a peer-reviewed multi-disciplinary pharmaceutical publication, scheduled to appear quarterly and serve as a means for scientific information exchange in the international pharmaceutical forum. Specific scientific topics of interest to the journal include, but are not limited to: pharmaceutics, industrial pharmacy, pharmacognosy, toxicology, medicinal chemistry, novel analytical methods for drug characterization, computational and modeling approaches to drug design, bio-medical experience, clinical investigation, rational drug prescribing, pharmacoeconomics, biotechnology, nanotechnology, biopharmaceutics and physical pharmacy.
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