Document Detail


Early clinical experience with a minute ventilation sensor DDDR pacemaker.
MedLine Citation:
PMID:  1721181     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
RESULTS: mode switching (reversion) to VVIR was observed in 57% of the patients. Forty-two percent had episodes of mode switching to VVIR during a stress test, four related to PAT, and seven to sinus tachycardia. Fifty percent had episodes of mode switching to VVIR during a 24-hour Holter, four related to PAT, three to retrograde P wave sensing, and two to sinus tachycardia. At the last follow-up, 20 of the 26 patients initially programmed to the DDDR mode remained in the DDDR mode, while five were reprogrammed to the DDD and one to the VVIR mode. Mode switching has a high sensitivity but a low specificity for PAT. It appears to be a useful approach to prevent rapid tracking of atrial tachyarrhythmias. Careful PVARP programming is critical to appropriate reversion behavior, but further modifications of the algorithm are needed to improve its performance.
Authors:
G Vanerio; S Patel; E Ching; R G Trohman; B L Wilkoff; L W Castle; J D Maloney; T W Simmons
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Pacing and clinical electrophysiology : PACE     Volume:  14     ISSN:  0147-8389     ISO Abbreviation:  Pacing Clin Electrophysiol     Publication Date:  1991 Nov 
Date Detail:
Created Date:  1992-01-23     Completed Date:  1992-01-23     Revised Date:  2014-07-29    
Medline Journal Info:
Nlm Unique ID:  7803944     Medline TA:  Pacing Clin Electrophysiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1815-20     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Aged
Algorithms*
Arrhythmia, Sinus / therapy*
Cardiac Pacing, Artificial / methods*
Electrocardiography
Electrodes, Implanted
Equipment Design
Evaluation Studies as Topic
Female
Heart Block / therapy*
Humans
Male
Pacemaker, Artificial*
Sensitivity and Specificity
Sick Sinus Syndrome / therapy
Tachycardia / diagnosis

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


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