Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping.

Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping.
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DOI:
10.3389/fphys.2020.611266
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发表时间:
2020
影响因子:
4
通讯作者:
Narayan SM
Narayan SM
中科院分区:
医学2区
文献类型:
--
作者:
Rodrigo M;Waddell K;Magee S;Rogers AJ;Alhusseini M;Hernandez-Romero I;Costoya-Sánchez A;Liberos A;Narayan SM

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激活率的区域差异可能有助于维持心房颤动(AF)的电底物,无创地估计它们可能有助于指导消融或选择抗心律失常药物。我们测试了无创评估区域房颤率是否能准确代表心内记录。方法:对47例房颤患者(27例为持续性房颤,年龄63±13岁)行57导联无创心电图(ECGI)检查,同时检测双心房64极心内信号。采用Tikhonov正则化方法重构ECGI。通过对心内和非侵入性记录的优势频率(DF)分析,我们构建了个性化的3D心房颤动率分布图。结果:原始心内DF与无创DF在双心房区域差异显著,相差0.54 Hz [0.13 - 1.37] (R2 = 0.11)。通过高光谱组织滤波,该差异在患者水平比较(R2 = 0.62)降低至0.10 Hz(周期长度差异为1 - 11 ms)[0.03 - 0.42],中位DF和最高DF分别为0.19 Hz[0.03 - 0.59]和0.20 Hz[0.04 - 0.61]。无创和最高DF预测急性消融成功(p = 0.04)。结论:无创心房激活率的估计是可行的,当经过高频谱组织过滤时,可以提供心房颤动心内记录率的适度估计。无创技术可以成为识别可能对房颤消融有反应的患者进行个性化治疗的有效工具。
Introduction: Regional differences in activation rates may contribute to the electrical substrates that maintain atrial fibrillation (AF), and estimating them non-invasively may help guide ablation or select anti-arrhythmic medications. We tested whether non-invasive assessment of regional AF rate accurately represents intracardiac recordings. Methods: In 47 patients with AF (27 persistent, age 63 ± 13 years) we performed 57-lead non-invasive Electrocardiographic Imaging (ECGI) in AF, simultaneously with 64-pole intracardiac signals of both atria. ECGI was reconstructed by Tikhonov regularization. We constructed personalized 3D AF rate distribution maps by Dominant Frequency (DF) analysis from intracardiac and non-invasive recordings. Results: Raw intracardiac and non-invasive DF differed substantially, by 0.54 Hz [0.13 – 1.37] across bi-atrial regions (R2 = 0.11). Filtering by high spectral organization reduced this difference to 0.10 Hz (cycle length difference of 1 – 11 ms) [0.03 – 0.42] for patient-level comparisons (R2 = 0.62), and 0.19 Hz [0.03 – 0.59] and 0.20 Hz [0.04 – 0.61] for median and highest DF, respectively. Non-invasive and highest DF predicted acute ablation success (p = 0.04). Conclusion: Non-invasive estimation of atrial activation rates is feasible and, when filtered by high spectral organization, provide a moderate estimate of intracardiac recording rates in AF. Non-invasive technology could be an effective tool to identify patients who may respond to AF ablation for personalized therapy.
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