Biviano Angelo B, Ciaccio Edward J, Fleitman Jessica, Knotts Robert, Lawrence John, Haynes Norrisa, Cyrille Nicole, Hickey Kathleen, Iyer Vivek, Wan Elaine, Whang William, Garan Hasan
New York-Presbyterian Hospital, Columbia University Medical Center, New York, New York, USA.
Department of Medicine, Cardiology Division, Columbia University College of Physicians and Surgeons, New York, New York, USA.
J Cardiovasc Electrophysiol. 2015 Nov;26(11):1187-1195. doi: 10.1111/jce.12770. Epub 2015 Sep 13.
Atrial fibrillation (AF) ablation patients often manifest atrial tachycardias (AT) with atypical ECG morphologies that preclude accurate localization and mechanism. Diagnostic maneuvers used to define ATs during electrophysiology studies can be limited by tachycardia termination or transformation. Additional methods of characterizing post-AF ablation ATs are required.
We evaluated the utility of noninvasive ECG signal analytics in postablation AF patients for the following features: (1) Localization of ATs (i.e., right vs. left atrium), and (2) Identification of common left AT mechanisms (i.e., focal vs. macroreentrant). Atrial waveforms from the surface ECG were used to analyze (1) spectral organization, including dominant amplitude (DA) and mean spectral profile (MP), and (2) temporospatial variability, using temporospatial correlation coefficients. We studied 94 ATs in 71 patients who had undergone prior pulmonary vein isolation for AF and returned for a second ablation: (1) right atrial cavotricuspid-isthmus dependent (CTI) ATs (n = 21); (2) left atrial macroreentrant ATs (n = 41) and focal ATs (n = 32). Right CTI ATs manifested higher DAs and lower MPs than left ATs, indicative of greater stability and less complexity in the frequency spectrum. Left macroreentrant ATs possessed higher temporospatial organization than left focal ATs.
Noninvasively recorded atrial waveform signal analyses show that right ATs possess more stable activation properties than left ATs, and left macroreentrant ATs manifest higher temporospatial organization than left focal ATs. Further prospective analyses evaluating the role these novel ECG-derived tools can play to help localize and identify mechanisms of common ATs in AF ablation patients are warranted.
心房颤动(AF)消融患者常表现出具有非典型心电图形态的房性心动过速(AT),这使得准确的定位和机制判断变得困难。在电生理研究中用于定义AT的诊断操作可能会受到心动过速终止或转变的限制。因此,需要其他方法来表征AF消融后的AT。
我们评估了无创心电图信号分析在消融后AF患者中的应用,以用于以下特征:(1)AT的定位(即右心房与左心房),以及(2)常见左房AT机制的识别(即局灶性与大折返性)。体表心电图的心房波形用于分析(1)频谱组织,包括主导振幅(DA)和平均频谱轮廓(MP),以及(2)时空变异性,使用时空相关系数。我们研究了71例曾接受过AF肺静脉隔离术并返回进行二次消融的患者中的94次AT:(1)右心房三尖瓣峡部依赖性(CTI)AT(n = 21);(2)左心房大折返性AT(n = 41)和局灶性AT(n = 32)。右CTI AT表现出比左AT更高的DA和更低的MP,表明其频谱更稳定且复杂性更低。左大折返性AT比左局灶性AT具有更高的时空组织性。
无创记录的心房波形信号分析表明,右AT比左AT具有更稳定的激活特性,并且左大折返性AT比左局灶性AT表现出更高的时空组织性。有必要进行进一步的前瞻性分析,以评估这些新的基于心电图的工具在帮助定位和识别AF消融患者常见AT机制方面可以发挥的作用。