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Accuracy of Mode Switch Algorithms for Detection of Atrial Tachyarrhythmias
Author(s) -
PASSMAN ROD S.,
WEINBERG KENNETH M.,
FREHER MARK,
SCHAECHTER ANDI,
GOLDBERGER JEFFREY J.,
KADISH ALAN H.
Publication year - 2004
Publication title -
journal of cardiovascular electrophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.193
H-Index - 138
eISSN - 1540-8167
pISSN - 1045-3873
DOI - 10.1046/j.1540-8167.2004.03537.x
Subject(s) - medicine , atrial fibrillation , atrial flutter , cardiology , atrial tachycardia , tachycardia , p wave , paroxysmal atrial fibrillation , bradycardia , sinus tachycardia , electrocardiography , anesthesia , heart rate , catheter ablation , blood pressure
In patients with permanent pacemakers, mode switching events often are interpreted as surrogate markers for atrial tachyarrhythmias. The aim of this study was to determine the accuracy of automatic mode switching algorithms in patients with permanent pacemakers for the diagnosis of atrial tachyarrhythmias. Methods and Results: Forty patients with tachycardia‐bradycardia syndrome and Medtronic Thera or Kappa 700 permanent pacemakers underwent Holter monitoring. Date, time of onset, and duration of each mode switch episode as recorded by the pacemaker and each atrial tachyarrhythmia episode as recorded by the Holter monitor were compared. Sixteen patients had a total of 54 atrial tachyarrhythmias documented on Holter monitoring (47 atrial fibrillation, 7 atrial flutter). Comparison of Holter data with pacemaker interrogation demonstrated that 53 (98.1%) of 54 atrial tachyarrhythmia episodes resulted in mode switching with one 13‐second episode of mode switching during sinus rhythm. The sensitivity and specificity of mode switching for the duration of atrial tachyarrhythmias were 98.1% and 100%, respectively. The algorithms detected 98.9% of the total duration of atrial fibrillation and 96.4% of the total duration of atrial flutter. Conclusion: In patients with tachycardia‐bradycardia syndrome and permanent pacemakers having these mode switching algorithms, mode switching events are reliable surrogate markers for atrial tachyarrhythmias. Therefore, mode switching may serve as a valuable tool for clinical decision making and further research into the natural history and burden of atrial tachyarrhythmias. (J Cardiovasc Electrophysiol, Vol. 15, pp. 773‐777, July 2004)