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Optimisation of cardiac resynchronisation therapy device selection guided by cardiac magnetic resonance imaging: Cost-effectiveness analysis

机译:心脏磁共振成像指导心脏再生治疗装置选择的优化:成本效益分析

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Background: A recent study showed that the presence and characteristics of myocardial scar could independently predict appropriate implantable cardioverter-defibrillator therapies and the risk of sudden cardiac death in patients receiving a de novo cardiac resynchronisation device. Design The aim was to evaluate the cost-effectiveness of cardiac magnetic resonance imaging-based algorithms versus clinical practice in the decision-making process for the implantation of a cardiac resynchronisation device pacemaker versus cardiac resynchronisation device implantable cardioverter-defibrillator device in heart failure patients with indication for cardiac resynchronisation therapy. Methods: An incidental Markov model was developed to simulate the lifetime progression of a heart failure patient cohort. Key health variables included in the model were New York Heart Association functional class, hospitalisations, sudden cardiac death and total mortality. The analysis was done from the healthcare system perspective. Costs (euro2017), survival and quality-adjusted life years were assessed. Results: At 5-year follow-up, algorithm I reduced mortality by 39% in patients with a cardiac resynchronisation device pacemaker who were underprotected due to misclassification by clinical protocol. This approach had the highest quality-adjusted life years (algorithm I 3.257 quality-adjusted life years; algorithm II 3.196 quality-adjusted life years; clinical protocol 3.167 quality-adjusted life years) and the lowest lifetime costs per patient (euro20,960, euro22,319 and euro28,447, respectively). Algorithm I would improve results for three subgroups: non-ischaemic, New York Heart Association class III-IV and >= 65 years old. Furthermore, implementing this approach could generate an estimated euro702 million in health system savings annually in European Society of Cardiology countries. Conclusion: The application of cardiac magnetic resonance imaging-based algorithms could improve survival and quality-adjusted life years at a lower cost than current clinical practice (dominant strategy) used for assigning cardiac resynchronisation device pacemakers and cardiac resynchronisation device implantable cardioverter-defibrillators to heart failure patients.
机译:背景:最近的一项研究表明,心肌瘢痕的存在和特征可以独立地预测适当的植入心脏除颤器疗法以及接受DE Novo心脏再同步装置的患者突然心脏病的风险。设计目的是评估心脏磁共振成像的算法与临床实践的成本效益在植入心力衰竭患者中植入心脏再同步装置起搏器的决策过程中的决策过程心脏重新同步治疗的迹象。方法:开发了一个偶然的马尔可夫模型,模拟了心力衰竭患者队列的寿命进展。该模型中包含的重点健康变量是纽约心脏协会功能级,住院,心脏病突发和总死亡率。分析是从医疗保健系统的角度完成的。评估成本(EURO2017),生存和质量调整的终身年度。结果:5年随访,算法在患有临床方案错误分类的情况下,算法减少了39%的心脏重新同步装置起搏器的患者。这种方法具有最高的质量调整的终身年度(算法I 3.257质量调整的终身时间;算法II 3.196质量调整的终身时间;临床协议3.167质量调整的终身寿命)和每位患者的最低寿命(EURO20,960, EURO22,319和EURO28,447分别)。算法我将改善三个亚组的结果:非缺血,纽约心联社III-IV和> = 65岁。此外,实施这种方法可以在欧洲心脏病学国家每年在欧洲生态学系统中储蓄估计欧约7020万欧元。结论:基于心脏磁共振成像的应用可以以低于当前临床实践(显性策略)来改善生存和质量调整的寿命年的临床实践(显性策略),用于分配心脏再同步装置起搏器和心脏再生装置可植入的Cardioverter除颤器到心脏失败患者。

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