使用HeartLogic (PREEMPT-HF) 研究设计和招生对心力衰竭患者的精确事件监测
John Boehmer1, Andrew J Sauer2, Roy Gardner3
1Penn State Hershey Medical Center, Hershey, PA, USA.
ESC heart failure
|September 23, 2023
概括
在PREEMPT-HF研究中,探索了HeartLogic多传感器指数及其用于预测心力衰竭 (HF) 再入院的传感器. 这项研究旨在通过分析传感器数据趋势来改善高频管理.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 医疗器械技术 医疗器械技术
背景情况:
- 众所周知,HeartLogic多传感器指数是心力衰竭 (HF) 恶化的敏感预测指标.
- 关于HeartLogic指数,其组成传感器和高频再接收之间的关联存在有限的数据.
- 了解这些关联对于完善高频管理策略至关重要.
研究的目的:
- 探索HeartLogic多传感器指数及其传感器与心力衰竭再入院之间的关联.
- 描述与高频回收相关的传感器变化,动脉节律失常症和其他事件子组.
- 提供临床数据,可以完善HeartLogic的使用,以改善患者的治疗结果.
主要方法:
- PREEMPT-HF研究是一项全球性,前性,观察性,市场推广后的研究,涉及2183名具有特定可植入器械的HF患者.
- 对于临床医生来说,HeartLogic传感器数据和警报是盲目的.
- 在12个月内收集了所有原因住院和HF门诊访问的数据.
主要成果:
- 在2018年6月至2020年6月期间,在103个地点注册了2183名患者.
- 患者队列中包括大量使用心脏再同步治疗与除器 (61%),65岁以上 (61%) 和NYHAII或III级HF (53%和33%) 的患者.
- 患者的关键特征包括排泄分数<25% (21%),缺血性心脏病 (50%) 和功能障碍史 (23%).
结论:
- 预先研究将产生临床数据和盲目的传感器趋势.
- 这些数据将有助于描述与HF再接收和其他事件相关的传感器变化.
- 预计这些发现将完善HeartLogic的临床应用,并改善患者的治疗结果.
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