Ng Jason, Gordon David, Passman Rod S, Knight Bradley P, Arora Rishi, Goldberger Jeffrey J
Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Heart Rhythm. 2014 Nov;11(11):2027-34. doi: 10.1016/j.hrthm.2014.08.002. Epub 2014 Aug 5.
Traditional mapping of atrial fibrillation (AF) is limited by changing electrogram morphologies and variable cycle lengths.
We tested the hypothesis that morphology recurrence plot analysis would identify sites of stable and repeatable electrogram morphology patterns.
AF electrograms recorded from left atrial (LA) and right atrial (RA) sites in 19 patients (10 men; mean age 59 ± 10 years) before AF ablation were analyzed. Morphology recurrence plots for each electrogram recording were created by cross-correlation of each automatically detected activation with every other activation in the recording. A recurrence percentage, the percentage of the most common morphology, and the mean cycle length of activations with the most recurrent morphology were computed.
The morphology recurrence plots commonly showed checkerboard patterns of alternating high and low cross-correlation values, indicating periodic recurrences in morphologies. The mean recurrence percentage for all sites and all patients was 38 ± 25%. The highest recurrence percentage per patient averaged 83 ± 17%. The highest recurrence percentage was located in the RA in 5 patients and in the LA in 14 patients. Patients with sites of shortest mean cycle length of activations with the most recurrent morphology in the LA and RA had ablation failure rates of 25% and 100%, respectively (hazard ratio 4.95; P = .05).
A new technique to characterize electrogram morphology recurrence demonstrated that there is a distribution of sites with high and low repeatability of electrogram morphologies. Sites with rapid activation of highly repetitive morphology patterns may be critical to sustaining AF. Further testing of this approach to map and ablate AF sources is warranted.
心房颤动(AF)的传统标测受心电图形态变化和周期长度可变的限制。
我们检验了形态学重现图分析可识别稳定且可重复的心电图形态模式部位的假设。
分析了19例患者(10名男性;平均年龄59±10岁)在AF消融术前从左心房(LA)和右心房(RA)部位记录的AF心电图。通过将每次自动检测到的激动与记录中的其他激动进行互相关,为每个心电图记录创建形态学重现图。计算重现百分比、最常见形态的百分比以及具有最频繁重现形态的激动的平均周期长度。
形态学重现图通常显示出高互相关值和低互相关值交替的棋盘模式,表明形态学存在周期性重现。所有部位和所有患者的平均重现百分比为38±25%。每位患者的最高重现百分比平均为83±17%。最高重现百分比位于RA的有5例患者,位于LA的有14例患者。在LA和RA中具有最频繁重现形态的激动平均周期长度最短的部位的患者,其消融失败率分别为25%和100%(风险比4.95;P = 0.05)。
一种表征心电图形态学重现的新技术表明,心电图形态的重复性存在高低分布。具有高度重复形态模式快速激动的部位可能对维持AF至关重要。有必要对这种标测和消融AF源的方法进行进一步测试。