Document Detail


Accuracy of mode switch algorithms for detection of atrial tachyarrhythmias.
MedLine Citation:
PMID:  15250860     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
INTRODUCTION: 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.
Authors:
Rod S Passman; Kenneth M Weinberg; Mark Freher; Pable Denes; Andi Schaechter; Jeffrey J Goldberger; Alan H Kadish
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of cardiovascular electrophysiology     Volume:  15     ISSN:  1045-3873     ISO Abbreviation:  J. Cardiovasc. Electrophysiol.     Publication Date:  2004 Jul 
Date Detail:
Created Date:  2004-07-14     Completed Date:  2004-11-16     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  9010756     Medline TA:  J Cardiovasc Electrophysiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  773-7     Citation Subset:  IM    
Affiliation:
Department of Medicine and the Feinberg Cardiovascular Institute, Northwestern University, Chicago, Illinois 60611, USA. r-passman@northwestern.edu
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MeSH Terms
Descriptor/Qualifier:
Aged
Algorithms*
Atrial Fibrillation / diagnosis*,  physiopathology
Electrocardiography, Ambulatory
Female
Humans
Male
Pacemaker, Artificial*
Prospective Studies
Sensitivity and Specificity
Statistics, Nonparametric
Grant Support
ID/Acronym/Agency:
1 K23 HL68814-01/HL/NHLBI NIH HHS
Comments/Corrections
Comment In:
J Cardiovasc Electrophysiol. 2004 Jul;15(7):778-9   [PMID:  15250861 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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