Relationship between Cycle Length of Typical Atrial Flutter and Double Potential Interval after Achievement of Complete Isthmus Block

Derejko, Paweł; Bodalski, Robert; Szumowski, Łukasz; Kozłowski, Dariusz; Urbanek, Piotr; Orczykowski, Michał; Zakrzewska-Koperska, Joanna; Kępski, Roman; Chojnowska, Lidia; Polańska, Magdalena; Szufladowicz, Ewa; Wójcik, Anna; Sacher, Frédéric; Haı̈ssaguerre, Michel; Walczak, Franciszek

doi:10.1111/j.1540-8159.2010.02847.x

Cited by 1 publication

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“…In our simulation of AFL, no variation was observed in the CL (≈200 ms) in the different regions of the atria. This result is also consistent with the mean values of CL (238 ms and 245 ms) obtained in experimental and clinical studies [75], [76].…”

Section: Discussionsupporting

confidence: 92%

A Three-Dimensional Human Atrial Model with Fiber Orientation. Electrograms and Arrhythmic Activation Patterns Relationship

et al. 2013

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The most common sustained cardiac arrhythmias in humans are atrial tachyarrhythmias, mainly atrial fibrillation. Areas of complex fractionated atrial electrograms and high dominant frequency have been proposed as critical regions for maintaining atrial fibrillation; however, there is a paucity of data on the relationship between the characteristics of electrograms and the propagation pattern underlying them. In this study, a realistic 3D computer model of the human atria has been developed to investigate this relationship. The model includes a realistic geometry with fiber orientation, anisotropic conductivity and electrophysiological heterogeneity. We simulated different tachyarrhythmic episodes applying both transient and continuous ectopic activity. Electrograms and their dominant frequency and organization index values were calculated over the entire atrial surface. Our simulations show electrograms with simple potentials, with little or no cycle length variations, narrow frequency peaks and high organization index values during stable and regular activity as the observed in atrial flutter, atrial tachycardia (except in areas of conduction block) and in areas closer to ectopic activity during focal atrial fibrillation. By contrast, cycle length variations and polymorphic electrograms with single, double and fragmented potentials were observed in areas of irregular and unstable activity during atrial fibrillation episodes. Our results also show: 1) electrograms with potentials without negative deflection related to spiral or curved wavefronts that pass over the recording point and move away, 2) potentials with a much greater proportion of positive deflection than negative in areas of wave collisions, 3) double potentials related with wave fragmentations or blocking lines and 4) fragmented electrograms associated with pivot points. Our model is the first human atrial model with realistic fiber orientation used to investigate the relationship between different atrial arrhythmic propagation patterns and the electrograms observed at more than 43000 points on the atrial surface.

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Section: Discussionsupporting

confidence: 92%