Journal of cardiovascular electrophysiology
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J. Cardiovasc. Electrophysiol. · Sep 2008
Clinical TrialPreoperative alterations in correlation properties and complexity of R-R interval dynamics predict the risk of atrial fibrillation after coronary artery bypass grafting in patients with preserved left ventricular function.
We evaluated whether there are constant preoperative alterations in nonlinear R-R interval dynamics that associate with the risk of postoperative atrial fibrillation in patients with preserved left ventricular function. ⋯ The preoperatively altered nonlinear R-R interval dynamics were independent predictors of postoperative atrial fibrillation and might become a useful tool for the risk assessment of atrial fibrillation.
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J. Cardiovasc. Electrophysiol. · Sep 2008
Automatic 3D mapping of complex fractionated atrial electrograms (CFAE) in patients with paroxysmal and persistent atrial fibrillation.
Complex fractionated atrial electrograms (CFAE) are a possible target for atrial fibrillation (AF) ablation and can be visualized in three-dimensional (3D) mapping systems with specialized software. ⋯ CFAE software can visualize the spatial distribution of CFAE in AF. CFAE in persistent AF were observed in more regions of LA compared to paroxysmal AF in which CFAE concentrated on the PV. Automatically detected CFAE match well with ablation sites targeted by operators.
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J. Cardiovasc. Electrophysiol. · Sep 2008
Consistency of the CFAE phenomena using custom software for automated detection of complex fractionated atrial electrograms (CFAEs) in the left atrium during atrial fibrillation.
Complex fractionated atrial electrograms (CFAEs) have been described as a potential target for ablation of atrial fibrillation (AF). The purpose of this study is to assess the consistency of the CFAE phenomena using custom software for automated detection of CFAEs in the left atrium during AF. ⋯ This novel software offers an objective method for CFAE analysis during atrial fibrillation. CFAE consistency ranged from 73% to 84% with wide standard deviation. Automated detection of CFAEs may remove the pitfalls associated with subjective visual detection, thus removing one variable in comparative studies of using CFAEs as AF ablation targets.