识别非肺静脉触发器的来源使用2个静止线性十极管导管:一种新的算法
Munveer Thind1, Martín R Arceluz1, Irene Lucena-Padros1
1Section of Cardiac Electrophysiology, Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
JACC. Clinical electrophysiology
|September 22, 2023
概括
一个使用两个导管的电图的算法准确地识别了非肺静脉触发器 (NPVTs),在肺静脉隔离后引起心房动 (AF),以指导进一步的测绘.
科学领域:
- 心脏病学 心脏病学
- 电子生理学 电子生理学
- 医疗器械技术 医疗器械技术
背景情况:
- 针对肺静脉隔离后心房动 (AF) 的非肺静脉触发因素 (NPVTs) 提出了挑战.
- NPVTs通常表现为单个子宫外节拍,其中P波被QRS或T波遮蔽.
研究的目的:
- 开发一种算法,使用心内电图来区域化NPVTs的起源.
- 该算法利用了右心室和冠状动脉鼻中的导管数据.
主要方法:
- 使用电图激活序列和来自两个线性十极管导管的定时计算,构建了一个算法.
- 从15个已知的NPVT部位进行节拍,在42名AF患者进行了肺静脉隔离后的节拍.
- 该算法的预测值在使用电解剖学映射的验证队列中进行了评估.
主要成果:
- 该算法在将15个节奏点分为9个临床相关区域 (PPV 81%-99%,特异性 94%-100%,敏感性 30%-94%) 时实现了高精度.
- 在98名患者的验证表明,在局部化AF NPVTs方面,预测准确率为91%.
- 该算法有效地将NPVT来源区域化,有助于集中映射策略.
结论:
- 一个基于两个多极导管的电图序列和定时的算法准确地将AF NPVTs区域化.
- 这种方法促进了有针对性的绘制,改善了复杂心房的病例的管理.
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