基于多态模型和微模拟的灵活方法来进行现实世界的成本效益分析:用于蛋白转化酶的应用 亚素-素9型抑制剂
Caterina Gregorio1, Federico Rea2, Francesca Ieva3
1MOX-Modelling and Scientific Computing Laboratory, Department of Mathematics, Politecnico di Milano, Milano, Italy; Biostatistics Unit, Department of Medical Sciences, University of Trieste, Trieste, Italy; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
应用于心血管成本效益分析的灵活统计方法表明,使用现实数据和先进的建模,蛋白转化酶-素-素9型抑制剂是高脂血症的长期成本效益.
科学领域:
- 卫生经济学 卫生经济学
- 心血管疾病研究研究
- 统计建模 统计建模
背景情况:
- 成本效益分析 (CEA) 对于医疗保健决策至关重要.
- 现实世界的数据为强大的CEA提供了机会.
- 心血管疾病管理需要有效的治疗策略.
研究的目的:
- 展示心血管医学中现实世界CEA的灵活统计方法.
- 评估用于高脂血症的蛋白转化酶亚素-素9型 (PCSK9) 抑制剂的成本效益.
主要方法:
- 使用电子健康数据库模拟目标试验.
- 应用多态建模和微模拟用于成本效益分析.
- 包含依赖时间的变量和对模型有效性的合适性评估.
主要成果:
- 马尔科夫假设是不充分的;时间重置时间尺度和时间依赖变量被实施.
- 显微模拟模型显示出很好的匹配,短期结果与非基于模型的方法一致.
- PCSK9抑制剂表现出有利的长期成本效益,其支付意愿为39,000欧元/生命年.
结论:
- 灵活的统计方法全面研究长期的成本效益.
- 该方法允许针对特定健康问题的适当疾病建模.
- 特定子集团的分析提供了对成本效益的有针对性的见解.
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