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Adapting a Markov Monte Carlo simulation model for forecasting the number of Coronary Artery Revascularisation Procedures in an era of rapidly changing technology and policy

机译:在快速变化的技术和政策时代,采用马尔可夫蒙特卡洛模拟模型来预测冠状动脉血运重建手术的数量

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Background Treatments for coronary heart disease (CHD) have evolved rapidly over the last 15 years with considerable change in the number and effectiveness of both medical and surgical treatments. This period has seen the rapid development and uptake of statin drugs and coronary artery revascularization procedures (CARPs) that include Coronary Artery Bypass Graft procedures (CABGs) and Percutaneous Coronary Interventions (PCIs). It is difficult in an era of such rapid change to accurately forecast requirements for treatment services such as CARPs. In a previous paper we have described and outlined the use of a Markov Monte Carlo simulation model for analyzing and predicting the requirements for CARPs for the population of Western Australia (Mannan et al, 2007). In this paper, we expand on the use of this model for forecasting CARPs in Western Australia with a focus on the lack of adequate performance of the (standard) model for forecasting CARPs in a period during the mid 1990s when there were considerable changes to CARP technology and implementation policy and an exploration and demonstration of how the standard model may be adapted to achieve better performance. Methods Selected key CARP event model probabilities are modified based on information relating to changes in the effectiveness of CARPs from clinical trial evidence and an awareness of trends in policy and practice of CARPs. These modified model probabilities and the ones obtained by standard methods are used as inputs in our Markov simulation model. Results The projected numbers of CARPs in the population of Western Australia over 1995–99 only improve marginally when modifications to model probabilities are made to incorporate an increase in effectiveness of PCI procedures. However, the projected numbers improve substantially when, in addition, further modifications are incorporated that relate to the increased probability of a PCI procedure and the reduced probability of a CABG procedure stemming from changed CARP preference following the introduction of PCI operations involving stents. Conclusion There is often knowledge and sometimes quantitative evidence of the expected impacts of changes in surgical practice and procedure effectiveness and these may be used to improve forecasts of future requirements for CARPs in a population.
机译:背景技术在过去的15年中,冠心病(CHD)的治疗方法发展迅速,药物和外科治疗方法的数量和有效性都发生了重大变化。在此期间,他汀类药物和包括冠状动脉旁路移植术(CABGs)和经皮冠状动脉介入治疗(PCIs)在内的冠状动脉血运重建术(CARPs)迅速发展并被人们所接受。在如此迅速变化的时代,很难准确预测对CARP等治疗服务的需求。在先前的论文中,我们描述并概述了马尔可夫蒙特卡洛模拟模型用于分析和预测西澳大利亚州人口对CARPs的需求(Mannan等,2007)。在本文中,我们扩展了此模型在西澳大利亚州的CARP预测中的应用,重点是在1990年代中期CARP发生了巨大变化的时期,缺乏(标准)模型来预测CARP的性能技术和实施政策,以及如何对标准模型进行修改以取得更好的性能的探索和示范。方法根据临床试验证据中有关CARP有效性变化的信息以及对CARP政策和实践趋势的了解,对选定的关键CARP事件模型概率进行修改。这些修改后的模型概率和通过标准方法获得的概率被用作我们的马尔可夫仿真模型的输入。结果如果修改模型概率以增加PCI程序的有效性,则1995-99年西澳大利亚州人口的CARP预测数量仅会略有改善。但是,此外,在引入涉及支架的PCI手术后,由于PCI手术的概率增加,而CARPG手术因改变的CARP偏好而导致的CABG手术的可能性降低,因此,预计数量会大大提高。结论常常有知识,有时甚至有定量的证据表明手术方法和程序有效性的改变可能产生的预期影响,这些证据可用于改善对人群中CARPs未来需求的预测。

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