The role of the crista terminalis in atrial flutter and fibrillation: a computer modeling study.
Although atrial fibrillation is a common arrhythmia, the underlying mechanisms are incompletely understood. Recent studies have determined the role of the crista terminalis in the mechanisms of a simpler arrhythmia, atrial flutter. We hypothesize that as transverse coupling across the crista terminalis increases, the activation pattern that results is less like typical atrial flutter and more like atrial fibrillation. 6480 Van Capelle elements were coupled in an icosahedron, simulating the right atrium. Atrial simulations were created which incorporated no heterogeneity, heterogeneous coupling, heterogeneous effective refractory periods, and both heterogeneous coupling and effective refractory periods. When the entire crista terminalis was uncoupled, typical atrial flutter occurred. When transverse coupling allowed activation to propagate across the crista terminalis, the flutter cycle length decreased (p<0.0001). In addition, when heterogeneity was present, both the coefficient of variation of cycle length and the number of activation wavelets increased (p<0.0001). Thus, a more rapid reentrant circuit in the superior right atrium drove fibrillatory activity in the remainder of the atrium, as predicted by the "mother wavelet hypothesis." While awaiting in vivo validation, our study indicates that transverse coupling along the crista terminalis may play an important role in the development of atrial fibrillation from atrial flutter.
Ellis
W S
WS
Bioengineering Graduate Group, University of California, Berkeley, USA.
SippensGroenewegen
A
A
Auslander
D M
DM
Lesh
M D
MD
D001281:Atrial Fibrillation / Q000503:physiopathology*; D001282:Atrial Flutter / Q000503:physiopathology*; D003198:Computer Simulation; D006325:Heart Atria / Q000503:physiopathology*; D006329:Heart Conduction System / Q000503:physiopathology*; D006801:Humans; D016014:Linear Models; D008955:Models, Cardiovascular; D011237:Predictive Value of Tests; D013997:Time Factors