PO-04-093 CHARACTERIZATION OF EGF-IDENTIFIED SOURCE SIGNATURES IN SINUS RHYTHM AND ATRIAL FIBRILLATION

One mechanism of initiation and propagation atrial fibrillation (AF) may depend on rapid stimulation from focal sources. Whether arrhythmogenic at these foci is abnormal automaticity, triggered activity, or microreentry unclear; however, after activation emerges driver sites, fibrillatory conduction results in clinical AF. Electrographic Flow (EGF) mapping visualizes global wavefront near real-time has been used to identify areas centrifugal flow as sources Characterize EGF patterns electrical across endocardium during sinus rhythm (SR) v. AF driven by active EGF-identified FLOW EVAL-AF a single-center, prospective study 10 patients with paroxysmal persistent who underwent 64-pole basket catheter. During AF, unipolar electrograms were recorded the for 1 min 6 biatrial locations per patient corresponding set recordings taken same SR. algorithm detects origins excitation singularity vectors that emanate this location. The estimation step sequence vector field estimates where Euclidean length represents measure consistency observed called Consistency (FC). A total enrolled. Mean age was 69±10 years; female; mean left (LA) diameter 4.6±0.5 cm. For locations, FC significantly higher SR than (0.96±0.11 0.60±0.06, p=0.02). an individual patient, high not correlated Eleven source activity (SAC) detected—7 LA 4 RA. SAC 32±0.09%. In 8 11 (73%) identified electrographic converged into “sink” region location within electrode distance source; 5/7 (71%) 3/4 (75%) among became sinks compared those did (34±10% 27±4%, p=0.14). vary both magnitude direction depending rhythm. ongoing but when inactivated SR, appear more possibly due surrounding substrate slow and/or anisotropic remodeling.