基于算法的心脏衰竭风险数据远程监测心脏植入式电子设备的人:系统性审查和成本效益分析
Ryan Kenny1, Nawaraj Bhattarai2, Nicole O'Connor1
1Evidence Synthesis Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Health technology assessment (Winchester, England)
|October 18, 2025
概括
诸如HeartLogic和TriageHF之类的远程监控算法在预测心脏衰竭事件时显示出有希望,这些算法适用于心脏植入式电子设备的患者. 这些系统似乎具有成本效益,尽管需要更多的比较证据.
科学领域:
- 生物医学工程 生物医学工程
- 心脏病学 心脏病学
- 卫生技术评估 卫生技术评估
背景情况:
- 心力衰竭是一种由心脏功能障碍导致的临床综合征,影响血液循环.
- 心脏植入式电子设备 (CIED) 监测心脏功能,并可以结合算法来预测心力衰竭事件.
- 这些预测算法旨在与临床判断一起用于指导治疗决策.
研究的目的:
- 评估四种远程监测算法 (CorVue,HeartInsight,HeartLogic,TriageHF) 的临床和成本效益,用于在CIED患者中检测心力衰竭.
- 评估这些算法在治疗心力衰竭方面的准确性和经济影响.
- 综合关于远程监控技术用于预测心力衰竭的性能证据.
主要方法:
- 进行了临床有效性,成本效益,生活质量和成本结果的系统审查.
- 文献搜索包括MEDLINE,制造商网站和临床试验注册表 (2023年6月至8月).
- 基于算法远程监控的终身成本效益估计使用了 de novo 两种状态的马科夫模型.
主要成果:
- HeartLogic和TriageHF在预测心力衰竭事件方面表现出合理的准确性.
- 由于研究异质性,CorVue的准确性不太清楚;HeartInsight的公布数据有限.
- 发现HeartLogic和TriageHF比没有算法的CIED更具成本效益,需要最小的住院减少.
结论:
- HeartLogic和TriageHF显示出准确预测心力衰竭事件的潜力,但需要进一步进行比较验证.
- 有限的比较证据和低质量的数据凸显了需要更强大的研究,包括随机对照试验.
- 虽然可能具有成本效益,但减少住院治疗的好处必须与由于虚假阳性报警而导致过度治疗的风险进行权衡.
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