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• W2801836636 abstract "Better characterization of drivers in atrial fibrillation (AF) may facilitate their identification.The purpose of this study was to demonstrate that certain driver characteristics are associated with greater mechanistic importance in maintaining AF.Persistent AF was mapped in patients using the CARTOFINDER system with a 64-pole basket catheter to identify and ablate drivers with rotational or focal activity after pulmonary vein isolation. An ablation response was defined as cycle length (CL) slowing ≥30 ms or AF termination. Driver sites with an ablation response were correlated to sites of fastest CL, highest dominant frequency (DF), and greatest organization (lowest cycle length variability [CLV] and highest regularity index [RI]). Parameters predicting AF termination with driver ablation were evaluated.All 29 patients had ≥1 driver identified. Forty-four potential drivers were identified. The predefined ablation response occurred with 39 drivers (89%): 23 rotational and 16 focal. During a 30-second recording, each driver occurred 8.7 ± 5.4 times and completed 3.1 ± 0.9 consecutive repetitions per occurrence. Driver sites correlated best with markers of organization, corresponding to the site of lowest CLV (29/39 [74%]) and highest RI (26/39 [67%]). Correlation with sites of fastest CL and highest DF was poor (17/39 and 15/39, respectively) and depended on driver temporal stability. Greater temporal stability (3.4 ± 0.9 vs 2.7 ± 0.6; P = .001) and driver correlation with sites of lowest CLV and highest RI (both P <.001) predicted AF termination with ablation.Intermittent focal or rotational drivers were identified in all patients. Drivers consistently correlated to organization markers. Greater temporal stability and organization predicted AF termination with driver ablation." @default.
• W2801836636 created "2018-05-17" @default.
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• W2801836636 date "2018-09-01" @default.
• W2801836636 modified "2023-10-10" @default.
• W2801836636 title "Characterization of drivers maintaining atrial fibrillation: Correlation with markers of rapidity and organization on spectral analysis" @default.
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• W2801836636 doi "https://doi.org/10.1016/j.hrthm.2018.04.020" @default.
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