Atrial fibrillatory rate and irregularity of ventricular response as predictors of clinical outcome in patients with atrial fibrillation

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Abstract

Atrial fibrillation (AF) remains the most common arrhythmia encountered in clinical practice. Electrocardiogram (ECG)-based predictors of clinical outcome, however, have mostly been studied during sinus rhythm, whereas noninvasive risk stratification of patients with AF remains largely unexplored. Advances in ECG signal processing have led to the development of noninvasive methods of atrial fibrillatory rate (AFR) assessment using spatiotemporal QRST cancellation and time frequency analysis that demonstrated its predictive value for the outcome of pharmacologic and catheter-based interventions for AF. Recently, the prognostic value of AFR was evaluated in patients with congestive heart failure and indicated that reduced AFR may be an independent predictor of total and congestive heart failure-related mortality. A high degree of irregularity of the RR intervals during AF and its dependence on the modulation of the atrioventricular conduction rather than sinus node automaticity hampers the use of conventional heart rate variability approach in patients with AF. However, RR irregularity measures that can be applied to short-time ECG recordings appear to be promising predictors of clinical outcome. (C) 2011 Elsevier Inc. All rights reserved.
Original languageEnglish
Title of host publicationJournal of Electrocardiology
PublisherElsevier
Pages673-677
Volume44
DOIs
Publication statusPublished - 2011
EventConference of the International-Society-for-Computerized-Electrocardiology - San Jose, CA
Duration: 2011 Apr 132011 Apr 17

Publication series

Name
Number6
Volume44
ISSN (Print)0022-0736
ISSN (Electronic)1532-8430

Conference

ConferenceConference of the International-Society-for-Computerized-Electrocardiology
Period2011/04/132011/04/17

Subject classification (UKÄ)

  • Cardiac and Cardiovascular Systems

Keywords

  • Atrial fibrillation
  • Atrial fibrillatory rate
  • Ventricular response
  • Heart rate variability
  • Risk stratification

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