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• W2975938636 abstract "Abstract Introduction The optimal way to map localized drivers in persistent atrial fibrillation (AF) remains unclear. The objective of the study was to apply a novel vector mapping approach called Stochastic Trajectory Analysis of Ranked signals (STAR) in AF. Methods and Results Patients having persistent AF ablation were included. Early sites of activation (ESA) identified on global STAR maps created with basket catheters were used to guide AF ablation post‐pulmonary vein isolation (PVI). All patients also had sequential STAR maps created with ≥10 PentaRay recordings of 30 seconds. These were validated offline in their ability to identify the ESA targeted with a study‐defined ablation response (AF termination or cycle length [CL] slowing of ≥30 ms). Thirty‐two patients were included in whom 92 ESA were identified on the global STAR maps, with 73 of 83 targeted sites demonstrating an ablation response (24 AF termination and 49 CL slowing). Sixty‐one out of 73 (83.6%) ESA were also identified on the sequential STAR maps. These showed greater consistency ( P < .001), were seen pre‐ and post‐PVI ( P < .001) and were more likely to be associated with AF termination on ablation ( P = .007). The sensitivity and specificity of sequential mapping for the detection of ESA with an ablation response was 84.9% (95% confidence interval [CI] = 74.6‐92.2) and 90.0% (95% CI = 55.5‐99.8), respectively. During a follow‐up of 19.4 ± 3.7 months, 28 (80%) patients were free from AF/atrial tachycardia. Conclusions STAR mapping consistently identified ESA in all patients and the ablation response was compatible with ESA being driver sites. Mechanistically important ESA were successfully identified using sequential recordings." @default.
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• W2975938636 date "2019-10-03" @default.
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• W2975938636 title "STAR mapping method to identify driving sites in persistent atrial fibrillation: Application through sequential mapping" @default.
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• W2975938636 doi "https://doi.org/10.1111/jce.14201" @default.
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