Calò Leonardo, De Ruvo Ermenegildo, Sciarra Luigi, Gricia Roberto, Navone Giovanna, De Luca Lucia, Nuccio Francesca, Sette Antonella, Pristipino Cristian, Dulio Alessandro, Gaita Fiorenzo, Lioy Ernesto
Division of Cardiology, Policlinico Casilino, ASL Roma B, Rome, Italy.
J Cardiovasc Electrophysiol. 2008 Oct;19(10):1024-30. doi: 10.1111/j.1540-8167.2008.01219.x. Epub 2008 Jun 28.
The elimination of complex fractionated atrial electrograms (CFAEs) has been proposed as a potential target for guiding successful AF substrate ablation. The possibility to efficiently map the atria and rapidly identify CFAEs sites is necessary, before the CFAEs ablation becomes a routine approach. The aims of this study, conducted in patients with persistent and permanent atrial fibrillation (AF), were to analyze by CARTO mapping in the right (RA) and in the left atrium (LA) during AF: (1) the diagnostic accuracy of a new software for CFAEs analysis, (2) the spatial distribution of CFAEs, (3) the regional beat to beat AF intervals (FF).
Twenty-five consecutive patients (four women, 58.8 +/- 11.4 years) undergoing radiofrequency catheter ablation for persistent and permanent AF were enrolled in the study. The CFAE software showed a high sensitivity (90%) and specificity (91%) in the identification of CFAEs, using a specific setting of parameters. The LA had a significantly higher prevalence of CFAEs as compared with the RA (30.5% vs 20.3%, P = 0.016). The CFAEs were mostly present in the septum and in the area of coronary sinus ostium (CS os). The FF intervals were significantly shorter in the LA than in the RA (P < 0.01).
CARTO system has a high diagnostic accuracy in the identification of CFAEs. Atrial electrical activity (CFAEs, mean FF intervals) during AF showed a significant spatial inhomogeneity.
消除复杂碎裂心房电图(CFAE)已被提议作为指导房颤基质消融成功的潜在靶点。在CFAE消融成为常规方法之前,有效绘制心房图并快速识别CFAE部位的可能性是必要的。本研究针对持续性和永久性房颤患者,旨在通过房颤期间在右心房(RA)和左心房(LA)进行CARTO标测来分析:(1)一种用于CFAE分析的新软件的诊断准确性,(2)CFAE的空间分布,(3)逐搏房颤间期(FF)。
连续纳入25例接受射频导管消融治疗持续性和永久性房颤的患者(4名女性,年龄58.8±11.4岁)。使用特定参数设置时,CFAE软件在识别CFAE方面显示出高灵敏度(90%)和特异性(91%)。与RA相比,LA中CFAE的患病率显著更高(30.5%对20.3%,P = 0.016)。CFAE大多出现在间隔和冠状窦口(CS os)区域。LA中的FF间期明显短于RA(P < 0.01)。
CARTO系统在识别CFAE方面具有高诊断准确性。房颤期间的心房电活动(CFAE,平均FF间期)显示出显著的空间不均匀性。