| Accuracy of mode switch algorithms for detection of atrial tachyarrhythmias. | |
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MedLine Citation:
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PMID: 15250860 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Rod S Passman; Kenneth M Weinberg; Mark Freher; Pable Denes; Andi Schaechter; Jeffrey J Goldberger; Alan H Kadish |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Journal of cardiovascular electrophysiology Volume: 15 ISSN: 1045-3873 ISO Abbreviation: J. Cardiovasc. Electrophysiol. Publication Date: 2004 Jul |
Date Detail:
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Created Date: 2004-07-14 Completed Date: 2004-11-16 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 9010756 Medline TA: J Cardiovasc Electrophysiol Country: United States |
Other Details:
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Languages: eng Pagination: 773-7 Citation Subset: IM |
Affiliation:
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Department of Medicine and the Feinberg Cardiovascular Institute, Northwestern University, Chicago, Illinois 60611, USA. r-passman@northwestern.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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:
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1 K23 HL68814-01/HL/NHLBI NIH HHS |
| Comments/Corrections | |
Comment In:
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J Cardiovasc Electrophysiol. 2004 Jul;15(7):778-9
[PMID:
15250861
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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