Literature DB >> 8565169

Quantitative assessment of the spatial organization of atrial fibrillation in the intact human heart.

G W Botteron1, J M Smith.   

Abstract

BACKGROUND: Atrial activation during atrial fibrillation (AF) is frequently described as random or chaotic. We propose that activation during AF is constrained by the principles of reentrant excitation; that these constraints impart a measurable spatial organization to activation during AF; and that the distance over which activation sequences remain well correlated can be readily measured and related both to the propensity of AF to sustain itself as well as to atrial tissue wavelength. METHODS AND
RESULTS: We describe a novel signal-processing technique that quantifies the correlation in activation sequences recorded from five equally spaced sites in the right atrium in patients undergoing electrophysiology studies. In 20 patients in AF (12 with paroxysmal AF, 5 with chronic AF, and 3 with no clinical history of AF), the average correlation was 0.54 +/- 0.12 at 11 mm and 0.32 +/- 0.11 at 44 mm, compared with 0.95 +/- .023 and 0.91 +/- .023 in sinus rhythm. In AF, the correlation versus distance relation was monotonically decreasing, well fit by a decaying exponential function. The space constant of this exponential function, termed the activation space constant, provides a single objective metric of the spatial organization of activation during AF. The mean activation space constant for the group was 2.6 +/- 1.15 cm. Chronic AF had the lowest mean activation space constant (1.84 +/- 0.36 cm) and AF in patients with no prior history of AF had the highest (3.06 +/- 0.40 cm) (P < .05), with paroxysmal AF characterized by intermediate values (2.80 +/- 1.4 cm).
CONCLUSIONS: Using a novel method to measure the spatial organization of atrial activation during AF, we have demonstrated that AF in the intact human heart is organized over a length scale consistent with reentrant excitation. Preliminary results suggest a relationship between measured spatial organization and the clinical course of the arrhythmia. Further work is needed to determine whether measurement of spatial organization may be useful in prospective patient-specific selection of therapeutic options.

Entities:  

Mesh:

Year:  1996        PMID: 8565169     DOI: 10.1161/01.cir.93.3.513

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  30 in total

Review 1.  Report of the NASPE/NHLBI Round Table on Future Research Directions in Atrial Fibrillation. North American Society of Pacing and Electrophysiology.

Authors:  S Saskena; M J Domanski; E J Benjamin; A J Camm; M D Ezekowitz; B J Gersh; J Jalife; G V Naccarelli; R E Vlietstra; D G Wyse
Journal:  J Interv Card Electrophysiol       Date:  2001-09       Impact factor: 1.900

Review 2.  Dynamics factors preceding the initiation of atrial fibrillation in humans.

Authors:  Sanjiv M Narayan; David E Krummen
Journal:  Heart Rhythm       Date:  2008-01-29       Impact factor: 6.343

3.  High-resolution noncontact charge-density mapping of endocardial activation.

Authors:  Andrew Grace; Stephan Willems; Christian Meyer; Atul Verma; Patrick Heck; Min Zhu; Xinwei Shi; Derrick Chou; Lam Dang; Christoph Scharf; Günter Scharf; Graydon Beatty
Journal:  JCI Insight       Date:  2019-03-21

Review 4.  Myocardial Ischemia as a Genuine Cause Responsible for the Organization and "Fertilization" of Conflictogenic Atrial Fibrillation:New Conceptual Insights Into Arrhythmogenicity.

Authors:  Petras Stirbys
Journal:  J Atr Fibrillation       Date:  2013-04-06

5.  Toward discerning the mechanisms of atrial fibrillation from surface electrocardiogram and spectral analysis.

Authors:  Omer Berenfeld
Journal:  J Electrocardiol       Date:  2010-08-01       Impact factor: 1.438

Review 6.  Ionic and substrate mechanism of atrial fibrillation: rotors and the exitación frequency approach.

Authors:  Omer Berenfeld
Journal:  Arch Cardiol Mex       Date:  2010 Oct-Dec

7.  Noninvasive localization of maximal frequency sites of atrial fibrillation by body surface potential mapping.

Authors:  Maria S Guillem; Andreu M Climent; Jose Millet; Ángel Arenal; Francisco Fernández-Avilés; José Jalife; Felipe Atienza; Omer Berenfeld
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-26

Review 8.  Experimental and clinical AF mechanisms: bridging the divide.

Authors:  José Jalife
Journal:  J Interv Card Electrophysiol       Date:  2003-10       Impact factor: 1.900

9.  Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial Fibrillation.

Authors:  Jorge Pedrón-Torrecilla; Miguel Rodrigo; Andreu M Climent; Alejandro Liberos; Esther Pérez-David; Javier Bermejo; Ángel Arenal; José Millet; Francisco Fernández-Avilés; Omer Berenfeld; Felipe Atienza; María S Guillem
Journal:  J Cardiovasc Electrophysiol       Date:  2016-02-26

Review 10.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

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