OBJECTIVES: The aim of this study was to determine the effects of circumferential pulmonary vein ablation (CPVA) and electrogram-guided ablation (EGA) on the spectral characteristics of atrial fibrillation (AF) and the relationship between changes in dominant frequency (DF) and clinical outcome. BACKGROUND: Circumferential pulmonary vein ablation and EGA have been used to eliminate AF. Spectral analysis may identify high-frequency sources. METHODS: In 84 consecutive patients, CPVA (n = 42) or EGA (n = 42) was performed for paroxysmal (n = 49) or persistent (n = 35) AF. During EGA, complex electrograms were targeted. Lead V1 and electrograms from the left atrium and coronary sinus were analyzed to determine the DF of AF before and after ablation. RESULTS: The left atrial DF was higher in persistent (5.83 +/- 0.86 Hz) than paroxysmal AF (5.33 +/- 0.76 Hz, p = 0.03). There was a frequency gradient from the left atrium to the coronary sinus (p = 0.02). Circumferential pulmonary vein ablation and EGA resulted in a similar decrease in DF (18 +/- 17% vs. 17 +/- 15%, p = 0.8). During a mean follow-up of 9 +/- 6 months, the change in DF after CPVA was similar among patients with and without recurrent AF. An acute decrease in DF after EGA was associated with freedom from recurrent AF only in patients with persistent AF (19 +/- 14% vs. 3 +/- 6%, p = 0.02). CONCLUSIONS: Both CPVA and EGA decrease the DF of AF, consistent with elimination of high-frequency sources. Whereas the efficacy of EGA is associated with a decrease in DF in patients with persistent AF, the efficacy of CPVA is independent of changes in DF. This suggests that CPVA and EGA eliminate different mechanisms in the genesis of persistent AF.
OBJECTIVES: The aim of this study was to determine the effects of circumferential pulmonary vein ablation (CPVA) and electrogram-guided ablation (EGA) on the spectral characteristics of atrial fibrillation (AF) and the relationship between changes in dominant frequency (DF) and clinical outcome. BACKGROUND: Circumferential pulmonary vein ablation and EGA have been used to eliminate AF. Spectral analysis may identify high-frequency sources. METHODS: In 84 consecutive patients, CPVA (n = 42) or EGA (n = 42) was performed for paroxysmal (n = 49) or persistent (n = 35) AF. During EGA, complex electrograms were targeted. Lead V1 and electrograms from the left atrium and coronary sinus were analyzed to determine the DF of AF before and after ablation. RESULTS: The left atrial DF was higher in persistent (5.83 +/- 0.86 Hz) than paroxysmal AF (5.33 +/- 0.76 Hz, p = 0.03). There was a frequency gradient from the left atrium to the coronary sinus (p = 0.02). Circumferential pulmonary vein ablation and EGA resulted in a similar decrease in DF (18 +/- 17% vs. 17 +/- 15%, p = 0.8). During a mean follow-up of 9 +/- 6 months, the change in DF after CPVA was similar among patients with and without recurrent AF. An acute decrease in DF after EGA was associated with freedom from recurrent AF only in patients with persistent AF (19 +/- 14% vs. 3 +/- 6%, p = 0.02). CONCLUSIONS: Both CPVA and EGA decrease the DF of AF, consistent with elimination of high-frequency sources. Whereas the efficacy of EGA is associated with a decrease in DF in patients with persistent AF, the efficacy of CPVA is independent of changes in DF. This suggests that CPVA and EGA eliminate different mechanisms in the genesis of persistent AF.
Authors: Kentaro Yoshida; Amir B Rabbani; Hakan Oral; David Bach; Fred Morady; Aman Chugh Journal: J Interv Card Electrophysiol Date: 2011-06-14 Impact factor: 1.900
Authors: Sanjiv M Narayan; Tina Baykaner; Paul Clopton; Amir Schricker; Gautam G Lalani; David E Krummen; Kalyanam Shivkumar; John M Miller Journal: J Am Coll Cardiol Date: 2014-03-13 Impact factor: 24.094
Authors: Hugh Calkins; Karl Heinz Kuck; Riccardo Cappato; Josep Brugada; A John Camm; Shih-Ann Chen; Harry J G Crijns; Ralph J Damiano; D Wyn Davies; John DiMarco; James Edgerton; Kenneth Ellenbogen; Michael D Ezekowitz; David E Haines; Michel Haissaguerre; Gerhard Hindricks; Yoshito Iesaka; Warren Jackman; Jose Jalife; Pierre Jais; Jonathan Kalman; David Keane; Young-Hoon Kim; Paulus Kirchhof; George Klein; Hans Kottkamp; Koichiro Kumagai; Bruce D Lindsay; Moussa Mansour; Francis E Marchlinski; Patrick M McCarthy; J Lluis Mont; Fred Morady; Koonlawee Nademanee; Hiroshi Nakagawa; Andrea Natale; Stanley Nattel; Douglas L Packer; Carlo Pappone; Eric Prystowsky; Antonio Raviele; Vivek Reddy; Jeremy N Ruskin; Richard J Shemin; Hsuan-Ming Tsao; David Wilber Journal: J Interv Card Electrophysiol Date: 2012-03 Impact factor: 1.900
Authors: Maria S Guillem; Andreu M Climent; Jose Millet; Ángel Arenal; Francisco Fernández-Avilés; José Jalife; Felipe Atienza; Omer Berenfeld Journal: Circ Arrhythm Electrophysiol Date: 2013-02-26
Authors: Sanjiv M Narayan; Kalyanam Shivkumar; David E Krummen; John M Miller; Wouter-Jan Rappel Journal: Circ Arrhythm Electrophysiol Date: 2013-02-07