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对开始服用他汀类药物的心血管高危患者进行他汀类药物所致肌病的药物基因组学检测的经济学评价

Economic Evaluation of a Pharmacogenomics Test for Statin-Induced Myopathy in Cardiovascular High-Risk Patients Initiating a Statin.

作者信息

Mitchell Dominic, Guertin Jason R, Iliza Ange Christelle, Fanton-Aita Fiorella, LeLorier Jacques

机构信息

Faculté de médecine, Université de Montréal, Montréal, Canada.

Centre de recherche du Centre hospitalier de l'université de Montréal, 800 rue St-Denis, Montréal, QC, H2X 0A9, Canada.

出版信息

Mol Diagn Ther. 2017 Feb;21(1):95-105. doi: 10.1007/s40291-016-0238-8.

Abstract

BACKGROUND

Statins are the mainstay hypercholesterolemia treatment and reduce the risk of cardiovascular events in patients. However, statin therapy is often interrupted in patients experiencing musculoskeletal pain or myopathy, which are common in this patient group. Currently, the standard tests for diagnosing statin myopathies are difficult to interpret. A pharmacogenomics (PGx) test to diagnose statin-induced myopathy would be highly desirable.

METHODS

We developed a Markov state model to assess the cost-effectiveness of a hypothetical PGx test, which aims to identify statin-induced myopathy in high-risk, secondary prevention cardiovascular patients. The alternative strategy hypothesized is that physicians or patients interrupt the statin therapy in the presence of musculoskeletal pain. Our model includes health states specific to the PGx test outcome which assesses the impact of test errors.

RESULTS

Assuming a perfect test, the results indicate that the PGx test strategy dominates when the test costs less than CAN$356, when the strategy is cost neutral. These results are robust to deterministic and probabilistic sensitivity analyses.

CONCLUSION

Our base-case results show that a PGx test for statin-induced myopathy in a high-risk, secondary prevention of a cardiovascular event population would be a dominant solution for a test cost of CAN$356 or less. Furthermore, the modelling of the complete range of diagnostic test outcomes provide a broader understanding of the economic value of the pharmacogenomics test.

摘要

背景

他汀类药物是高胆固醇血症治疗的主要药物,可降低患者发生心血管事件的风险。然而,在经历肌肉骨骼疼痛或肌病的患者中,他汀类药物治疗常常中断,而这些症状在该患者群体中很常见。目前,用于诊断他汀类药物肌病的标准检测结果难以解读。因此,非常需要一种用于诊断他汀类药物所致肌病的药物基因组学(PGx)检测。

方法

我们开发了一个马尔可夫状态模型,以评估一种假设的PGx检测的成本效益,该检测旨在识别高危二级预防心血管疾病患者中的他汀类药物所致肌病。假设的替代策略是,在出现肌肉骨骼疼痛时,医生或患者中断他汀类药物治疗。我们的模型包括特定于PGx检测结果的健康状态,以评估检测误差的影响。

结果

假设检测完美,结果表明,当检测成本低于356加元时,PGx检测策略占主导地位,此时该策略成本中性。这些结果在确定性和概率性敏感性分析中具有稳健性。

结论

我们的基础案例结果表明,对于高危二级预防心血管事件人群中他汀类药物所致肌病的PGx检测,对于356加元或更低的检测成本将是一种占优解决方案。此外,对完整范围的诊断检测结果进行建模,能更全面地理解药物基因组学检测的经济价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be90/5250641/217bc9459001/40291_2016_238_Fig1_HTML.jpg

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