Literature DB >> 8186879

Dynamic behavior of the atrioventricular node: a functional model of interaction between recovery, facilitation, and fatigue.

J Billette1, S Nattel.   

Abstract

The wide variety of delays that the atrioventricular node can generate in response to an increased rate are explained by dynamic interactions between the three intrinsic properties of recovery, facilitation, and fatigue. The functional model presented suggests that any deviation of nodal conduction time from its minimum basal value represents, at any given time, the net sum of the effects produced by these properties. When a constant fast atrial rate is suddenly initiated, the node first "sees" a shortening in recovery time and responds by an increase in conduction time. This increase further shortens the recovery time of the ensuing beat, which is accordingly further delayed, and so on until a steady state is reached or a block occurs. However, these events do not occur alone. The second beat at the fast rate is conducted with a shorter conduction time than expected from the recovery time alone, and is therefore facilitated. These facilitatory effects develop within one short cycle and dissipate within one long cycle. They affect increasingly the conduction time of beats occurring with shorter cycle lengths. While steady-state effects of recovery and facilitation occur within seconds, nodal conduction time continues to increase slowly over several minutes when a rapid rate is maintained. This effect is attributed to fatigue, which develops and dissipates with a slow, symmetric time course. The dynamics of these properties can now be directly studied with selective stimulation protocols, and have many implications for the understanding of nodal behavior in the context of supraventricular tachyarrhythmias.

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Year:  1994        PMID: 8186879     DOI: 10.1111/j.1540-8167.1994.tb01117.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  3 in total

1.  The effects of serotonin on the electrophysiological properties of atrioventricular node during an experimental atrial fibrillation.

Authors:  Shima Changizi; Vahid Khori; Ali Mohammad Alizadeh
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2015-04-22       Impact factor: 3.000

2.  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

3.  Prolongation of atrio-ventricular node conduction in a rabbit model of ischaemic cardiomyopathy: Role of fibrosis and connexin remodelling.

Authors:  Ashley M Nisbet; Patrizia Camelliti; Nicola L Walker; Francis L Burton; Stuart M Cobbe; Peter Kohl; Godfrey L Smith
Journal:  J Mol Cell Cardiol       Date:  2016-03-25       Impact factor: 5.000

  3 in total

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