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ECG Based Assessment of Circadian Variation in AV-nodal Conduction During AF-Influence of Rate Control Drugs

Overview
Journal Front Physiol
Date 2022 Oct 21
PMID 36267586
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Abstract

The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node. These properties can be affected using -blockers or calcium channel blockers, mainly chosen empirically. Characterization of individual AV-nodal conduction could assist in personalized treatment selection during AF. Individual AV nodal refractory periods and conduction delays were characterized based on 24-hour ambulatory ECGs from 60 patients with permanent AF. This was done by estimating model parameters from a previously created mathematical network model of the AV node using a problem-specific genetic algorithm. Based on the estimated model parameters, the circadian variation and its drug-dependent difference between treatment with two -blockers and two calcium channel blockers were quantified on a population level by means of cosinor analysis using a linear mixed-effect approach. The mixed-effects analysis indicated increased refractoriness relative to baseline for all drugs. An additional decrease in circadian variation for parameters representing conduction delay was observed for the -blockers. This indicates that the two drug types have quantifiable differences in their effects on AV-nodal conduction properties. These differences could be important in treatment outcome, and thus quantifying them could assist in treatment selection.

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References
1.
Schumacher K, Dagres N, Hindricks G, Husser D, Bollmann A, Kornej J . Characteristics of PR interval as predictor for atrial fibrillation: association with biomarkers and outcomes. Clin Res Cardiol. 2017; 106(10):767-775. DOI: 10.1007/s00392-017-1109-y. View

2.
Jorgensen P, Schafer C, Guerra P, Talajic M, Nattel S, Glass L . A mathematical model of human atrioventricular nodal function incorporating concealed conduction. Bull Math Biol. 2003; 64(6):1083-99. DOI: 10.1006/bulm.2002.0313. View

3.
Kanoupakis E, Manios E, Mavrakis H, Tzerakis P, Mouloudi H, Vardas P . Comparative effects of carvedilol and amiodarone on conversion and recurrence rates of persistent atrial fibrillation. Am J Cardiol. 2004; 94(5):659-62. DOI: 10.1016/j.amjcard.2004.05.037. View

4.
Drici M, Jacomet Y, Iacono P, Lapalus P . Is verapamil also a non-selective beta blocker?. Int J Clin Pharmacol Ther Toxicol. 1993; 31(1):27-30. View

5.
Karlsson M, Sandberg F, Ulimoen S, Wallman M . Non-invasive Characterization of Human AV-Nodal Conduction Delay and Refractory Period During Atrial Fibrillation. Front Physiol. 2021; 12:728955. PMC: 8584495. DOI: 10.3389/fphys.2021.728955. View