多传感器植入式除器算法的性能,用于监测与并发病有关的心力衰竭
Vincenzo Ezio Santobuono1, Stefano Favale1, Antonio D'Onofrio2
1Interdisciplinary Department of Medicine, Cardiology Unit Polyclinic of Bari, University of Bari 'Aldo Moro', Bari, Italy.
ESC heart failure
|June 6, 2023
概括
心灵逻辑算法有效地预测ICD患者的心力衰竭失补偿,即使有诸如心房动和慢性病等并发症. 这种工具增强了患者监测和风险分层,以获得更好的结果.
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 医疗器械
背景情况:
- 该 HeartLogic 算法使用可植入式心脏转换器-除器 (ICD) 传感器数据来预测心力衰竭 (HF) 减偿.
- 它的有效性已在心脏再同步治疗与除器 (CRT-D) 患者中得到证实.
- 这项研究旨在评估其在非CRT ICD患者和患有并发症患者的表现.
研究的目的:
- 评估HeartLogic算法在预测标准ICD患者心力衰竭脱补偿的性能,而不仅仅是CRT-D设备.
- 评估算法的有效性在存在诸如心房动 (AF) 和慢性病 (CKD) 等并发症的情况下.
- 为了确定算法的预测能力是否根据设备类型或特定的共同疾病而有所变化.
主要方法:
- 在26个中心的568名ICD患者中激活了HeartLogic算法,其中包括410名CRT-D患者.
- 患者数据被跟踪了平均26个月,记录住院,死亡和HeartLogic警报.
- 统计分析,包括发病率比率和危险比率,用于评估算法的预测准确性和患者特征的影响.
主要成果:
- 心灵逻辑警报与心血管住院或死亡风险增加13.35倍有关.
- 心房动和慢性病独立预测了更高的HeartLogic警报负担.
- 该算法的识别高风险时期的能力在不同患者组 (CRT-D/ICD,AF/非AF,CKD/非CKD) 中是一致的.
结论:
- 心灵逻辑算法可靠地预测ICD患者临床事件的风险增加,无论设备类型 (CRT-D与ICD).
- 患有心房动和慢性病的患者经历了更多的警报,但算法的预测能力仍然很强大.
- 在不同患者群体中,HeartLogic 证明了对心力衰竭脱补偿的监测和风险分层的持续价值.
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