Literature DB >> 19250115

Electrocardiographic measurements of regional atrial fibrillation cycle length.

Krishna C Ravi1, David E Krummen, Ailinh J Tran, John R Bullinga, Sanjiv M Narayan.   

Abstract

BACKGROUND: Differences in atrial fibrillation (AF) cycle length (CL) between the left (LA) and right (RA) atrium and coronary sinus (CS) may help separate paroxysmal from persistent AF and identify patients most likely to respond to pulmonary vein isolation, but has not been measured noninvasively. METHODS AND
RESULTS: We developed methods to estimate regional intraatrial AF CL from the surface electrocardiogram (ECG) in 20 patients with persistent AF and 10 patients with paroxysmal AF prior to ablation. Intraatrial AF CL was measured near the LA appendage, mid-CS, and lateral RA. In simultaneous filtered ECG, AF CL was estimated using autocorrelation. The mean of ECG-derived AF CL in leads V5, I, and aVL was used to estimate LA CL; leads aVF, II, and III for CS CL; and V1, V2, and aVR for RA CL. ECG CL estimates for the LA, CS, and RA had R(2) > 0.91 versus measured CL (all P < 0.001). Though magnitudes of left-versus-right AF CL gradients were small in this series, the ECG predicted the direction of gradients in 62% of measurements (P < 0.05). When the gradient was >10 ms, the direction was accurately predicted in eight of 11 patients. The accuracy of AF CL estimates was not adversely affected by AF type or LA dilatation (< or =40 or >40 mm). The ECG-estimated AF-CL showed high 5-minute temporal stability (P < 0.001 each chamber).
CONCLUSIONS: Left and right atrial AF CL, and their gradients, can be accurately determined from the ECG using autocorrelation analysis. This approach may be a helpful guide prior to ablation procedures.

Entities:  

Mesh:

Year:  2009        PMID: 19250115      PMCID: PMC2853742          DOI: 10.1111/j.1540-8159.2008.02229.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  15 in total

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2.  Effect of pulmonary vein isolation on the left-to-right atrial dominant frequency gradient in human atrial fibrillation.

Authors:  Sorin Lazar; Sanjay Dixit; David J Callans; David Lin; Francis E Marchlinski; Edward P Gerstenfeld
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4.  Epicardial mapping of chronic atrial fibrillation in patients: preliminary observations.

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5.  Presence of left-to-right atrial frequency gradient in paroxysmal but not persistent atrial fibrillation in humans.

Authors:  Sorin Lazar; Sanjay Dixit; Francis E Marchlinski; David J Callans; Edward P Gerstenfeld
Journal:  Circulation       Date:  2004-11-08       Impact factor: 29.690

6.  Frequency analysis in different types of paroxysmal atrial fibrillation.

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Journal:  J Am Coll Cardiol       Date:  2006-03-15       Impact factor: 24.094

7.  Spectral analysis identifies sites of high-frequency activity maintaining atrial fibrillation in humans.

Authors:  Prashanthan Sanders; Omer Berenfeld; Mélèze Hocini; Pierre Jaïs; Ravi Vaidyanathan; Li-Fern Hsu; Stéphane Garrigue; Yoshihide Takahashi; Martin Rotter; Fréderic Sacher; Christophe Scavée; Robert Ploutz-Snyder; José Jalife; Michel Haïssaguerre
Journal:  Circulation       Date:  2005-08-01       Impact factor: 29.690

8.  Using electrocardiographic activation time and diastolic intervals to separate focal from macro-re-entrant atrial tachycardias.

Authors:  Jason P Brown; David E Krummen; Gregory K Feld; Sanjiv M Narayan
Journal:  J Am Coll Cardiol       Date:  2007-04-30       Impact factor: 24.094

9.  Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide.

Authors:  A Bollmann; N K Kanuru; K K McTeague; P F Walter; D B DeLurgio; J J Langberg
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10.  Changes in atrial fibrillation cycle length and inducibility during catheter ablation and their relation to outcome.

Authors:  Michel Haïssaguerre; Prashanthan Sanders; Mélèze Hocini; Li-Fern Hsu; Dipen C Shah; Christophe Scavée; Yoshihide Takahashi; Martin Rotter; Jean-Luc Pasquié; Stéphane Garrigue; Jacques Clémenty; Pierre Jaïs
Journal:  Circulation       Date:  2004-06-07       Impact factor: 29.690

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  5 in total

1.  Cycle Length Evaluation in Persistent Atrial Fibrillation Using Kernel Density Estimation to Identify Transient and Stable Rapid Atrial Activity.

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Journal:  Cardiovasc Eng Technol       Date:  2021-08-27       Impact factor: 2.305

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3.  Modeling Atrial Fibrillation using Human Embryonic Stem Cell-Derived Atrial Tissue.

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Journal:  Sci Rep       Date:  2017-07-13       Impact factor: 4.379

4.  A Computer Simulation Study of Anatomy Induced Drift of Spiral Waves in the Human Atrium.

Authors:  Sanjay R Kharche; Irina V Biktasheva; Gunnar Seemann; Henggui Zhang; Vadim N Biktashev
Journal:  Biomed Res Int       Date:  2015-10-26       Impact factor: 3.411

5.  Ability of magnetocardiography to detect regional dominant frequencies of atrial fibrillation.

Authors:  Kentaro Yoshida; Kuniomi Ogata; Takeshi Inaba; Yoko Nakazawa; Yoko Ito; Iwao Yamaguchi; Akihiko Kandori; Kazutaka Aonuma
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  5 in total

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