Literature DB >> 25910809

Dynamics of AV coupling during human atrial fibrillation: role of atrial rate.

M Masè1, M Marini2, M Disertori3, F Ravelli4.   

Abstract

The causal relationship between atrial and ventricular activities during human atrial fibrillation (AF) is poorly understood. This study analyzed the effects of an increase in atrial rate on the link between atrial and ventricular activities during AF. Atrial and ventricular time series were determined in 14 patients during the spontaneous acceleration of the atrial rhythm at AF onset. The dynamic relationship between atrial and ventricular activities was quantified in terms of atrioventricular (AV) coupling by AV synchrogram analysis. The technique identified n:m coupling patterns (n atrial beats in m ventricular cycles), quantifying their percentage, maximal length, and conduction ratio (= m/n). Simulations with a difference-equation AV model were performed to correlate the observed dynamics to specific atrial/nodal properties. The atrial rate increase significantly affected AV coupling and ventricular response during AF. The shortening of atrial intervals from 185 ± 32 to 165 ± 24 ms (P < 0.001) determined transitions toward AV patterns with progressively decreasing m/n ratios (from conduction ratio = 0.34 ± 0.09 to 0.29 ± 0.08, P < 0.01), lower occurrence (from percentage of coupled beats = 27.1 ± 8.0 to 21.8 ± 6.9%, P < 0.05), and higher instability (from maximal length = 3.9 ± 1.5 to 2.8 ± 0.7 s, P < 0.01). Advanced levels of AV block and coupling instability at higher atrial rates were associated with increased ventricular interval variability (from 123 ± 52 to 133 ± 55 ms, P < 0.05). AV pattern transitions and coupling instability in patients were predicted, assuming the filtering of high-rate irregular atrial beats by the slow recovery of nodal excitability. These results support the role of atrial rate in determining AV coupling and ventricular response and may have implications for rate control in AF.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  atrial fibrillation; atrioventricular node; nonlinear dynamics; synchrogram analysis; ventricular rate

Mesh:

Year:  2015        PMID: 25910809     DOI: 10.1152/ajpheart.00726.2014

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  4 in total

1.  Characterisation of human AV-nodal properties using a network model.

Authors:  Mikael Wallman; Frida Sandberg
Journal:  Med Biol Eng Comput       Date:  2017-07-13       Impact factor: 2.602

2.  Multiscale Poincaré plots for visualizing the structure of heartbeat time series.

Authors:  Teresa S Henriques; Sara Mariani; Anton Burykin; Filipa Rodrigues; Tiago F Silva; Ary L Goldberger
Journal:  BMC Med Inform Decis Mak       Date:  2016-02-09       Impact factor: 2.796

3.  A Divergence-Based Approach for the Identification of Atrial Fibrillation Focal Drivers From Multipolar Mapping: A Computational Study.

Authors:  Michela Masè; Alessandro Cristoforetti; Maurizio Del Greco; Flavia Ravelli
Journal:  Front Physiol       Date:  2021-12-24       Impact factor: 4.566

4.  ECG based assessment of circadian variation in AV-nodal conduction during AF-Influence of rate control drugs.

Authors:  Mattias Karlsson; Mikael Wallman; Pyotr G Platonov; Sara R Ulimoen; Frida Sandberg
Journal:  Front Physiol       Date:  2022-10-04       Impact factor: 4.755

  4 in total

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