在治疗左心房律不整时,以除指数为指导的线性病变形成的评估
Vanessa Sciacca1,2, Sascha Hatahet3, Christian-H Heeger3,4
1Department of Rhythmology, University Heart Center Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany. vsciacca@hdz-nrw.de.
概括
与接触力 (CF) 导向的除相比,除指数 (AI) 导向的除显示了与带峡线相比较高的急性导电阻断率. 在人工智能引导和非人工智能引导的废弃策略之间,长期结果和并发症率仍然可比.
科学领域:
- 电力生理学 电力生理学
- 通过心脏切除术 (Cardiac Ablation) 进行心脏切除.
- 在心房的管理管理.
背景情况:
- 以导管为基础的左心房线性损伤切除是对心房动 (AF) 和左心房动脉冲动 (LAT) 的标准程序.
- 优化除技术对于改善手术成功和患者结果至关重要.
研究的目的:
- 为了比较急性和长期的有效性,程序可行性,以及对左心房线性病变的移除指数 (AI) 引导的移除与接触力 (CF) 引导的移除的安全性.
- 评估人工智能指导对实现完整导电阻和临床结果的影响.
主要方法:
- 为了AF或LAT需要线性病变,连续接受左心房切除术的患者的潜在招募.
- 在AI指导和CF指导的队列中,对前线 (AL),额头峡线 (MIL),屋顶线 (RFL) 和后壁隔离 (PWI) 的系统分析.
- 评估程序的可行性,安全性,急性和长期阻断以及心律失常的复发.
主要成果:
- 在大多数线性病变中,人工智能引导和CF引导组之间的完整导电阻断率相似.
- 通过人工智能引导的切除,在额头脉峡线上实现了显著更高的急性阻断率 (100%与67%相比).
- 两组之间在导电阻塞的持续性,无心律失常的存活率或周围手术并发症率方面没有发现显著差异.
结论:
- 人工智能引导的切除证明了对 mitrale isthmus 线块的优越急性疗效,对于前部和屋顶线路的射频时间可能更短.
- 在人工智能引导和非人工智能引导的除策略之间,并发症率和长期临床结果是可比的.
- 人工智能指导代表了左心房线性损伤切除的可行和有效方法.
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