Kuklik Pawel, Schäffer Benjamin, Hoffmann Boris A, Ganesan Anand N, Schreiber Doreen, Moser Julia M, Akbulak Ruken Ö, Sultan Arian, Steven Daniel, Maesen Bart, Schotten Ulrich, Meyer Christian, Willems Stephan
Department of Cardiology-Electrophysiology, University Hospital Hamburg, University Heart Center, Hamburg, Germany.
Flinders University School of Medicine and Department of Cardiovascular Medicine, Flinders Medical Centre, Adelaide, Australia.
PLoS One. 2016 Oct 25;11(10):e0164236. doi: 10.1371/journal.pone.0164236. eCollection 2016.
Electrogram-based identification of the regions maintaining persistent Atrial Fibrillation (AF) is a subject of ongoing debate. Here, we explore the concept of local electrical dyssynchrony to identify AF drivers.
Local electrical dyssynchrony was calculated using mean phase coherence. High-density epicardial mapping along with mathematical model were used to explore the link between local dyssynchrony and properties of wave conduction. High-density mapping showed a positive correlation between the dyssynchrony and number of fibrillatory waves (R2 = 0.68, p<0.001). In the mathematical model, virtual ablation at high dyssynchrony regions resulted in conduction regularization. The clinical study consisted of eighteen patients undergoing catheter ablation of persistent AF. High-density maps of left atrial (LA) were constructed using a circular mapping catheter. After pulmonary vein isolation, regions with the top 10% of the highest dyssynchrony in LA were targeted during ablation and followed with ablation of complex atrial electrograms. Catheter ablation resulted in termination during ablation at high dyssynchrony regions in 7 (41%) patients. In another 4 (24%) patients, transient organization was observed. In 6 (35%) there was no clear effect. Long-term follow-up showed 65% AF freedom at 1 year and 22% at 2 years.
Local electrical dyssynchrony provides a reasonable estimator of regional AF complexity defined as the number of fibrillatory waves. Additionally, it points to regions of dynamical instability related with action potential alternans. However, despite those characteristics, its utility in guiding catheter ablation of AF is limited suggesting other factors are responsible for AF persistence.
基于心电图识别维持持续性心房颤动(AF)的区域是一个仍在争论的话题。在此,我们探讨局部电活动不同步的概念以识别房颤驱动因素。
使用平均相位相干性计算局部电活动不同步。采用高密度心外膜标测及数学模型来探究局部不同步与电波传导特性之间的联系。高密度标测显示不同步与颤动波数量之间呈正相关(R2 = 0.68,p<0.001)。在数学模型中,在高度不同步区域进行虚拟消融可导致传导正常化。临床研究包括18例接受持续性房颤导管消融的患者。使用环形标测导管构建左心房(LA)的高密度图。在肺静脉隔离后,消融期间靶向LA中不同步程度最高的前10%区域,随后消融复杂心房电图。导管消融在7例(41%)患者的高度不同步区域消融期间导致房颤终止。在另外4例(24%)患者中观察到短暂的组织化。6例(35%)患者无明显效果。长期随访显示1年时房颤无复发率为65%,2年时为22%。
局部电活动不同步为定义为颤动波数量的区域房颤复杂性提供了合理的估计指标。此外,它指出了与动作电位交替相关的动态不稳定区域。然而,尽管有这些特征,其在指导房颤导管消融中的效用有限,提示其他因素导致房颤持续存在。