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ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs
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 β-blockers or calcium channel blockers, mainly chosen empirically. Characterization of individual AV-nodal conduction could assist...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577140/ https://www.ncbi.nlm.nih.gov/pubmed/36267586 http://dx.doi.org/10.3389/fphys.2022.976526 |
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author | Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G. Ulimoen, Sara R. Sandberg, Frida |
author_facet | Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G. Ulimoen, Sara R. Sandberg, Frida |
author_sort | Karlsson, Mattias |
collection | PubMed |
description | 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 β-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 β-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 β-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. |
format | Online Article Text |
id | pubmed-9577140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95771402022-10-19 ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G. Ulimoen, Sara R. Sandberg, Frida Front Physiol Physiology 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 β-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 β-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 β-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. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9577140/ /pubmed/36267586 http://dx.doi.org/10.3389/fphys.2022.976526 Text en Copyright © 2022 Karlsson, Wallman, Platonov, Ulimoen and Sandberg. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Karlsson, Mattias Wallman, Mikael Platonov, Pyotr G. Ulimoen, Sara R. Sandberg, Frida ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title | ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title_full | ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title_fullStr | ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title_full_unstemmed | ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title_short | ECG based assessment of circadian variation in AV-nodal conduction during AF—Influence of rate control drugs |
title_sort | ecg based assessment of circadian variation in av-nodal conduction during af—influence of rate control drugs |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577140/ https://www.ncbi.nlm.nih.gov/pubmed/36267586 http://dx.doi.org/10.3389/fphys.2022.976526 |
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