Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation

Mattias Karlsson, Mikael Wallman, Pyotr G. Platonov, Sara R. Ulimoen, Frida Sandberg

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node, which can be affected using β-blockers or calcium channel blockers, often chosen empirically. Thus, characterization of the AV nodal conduction properties could contribute to personalized treatment of AF. We have created a mathematical network model of the AV node where continuous estimation of the refractory period and conduction delay from 24-hour ambulatory ECGs from patients with permanent AF (n=59) was achieved using a problem-specific genetic algorithm. Circadian variations in the resulting model parameter trends were quantified using cosinor analysis, and differences between treatment with β-blockers and calcium blockers were assessed using a linear-mixed effect approach. The mixed-effects analysis indicated increased refractoriness relative to baseline for all drugs. For the β-blockers, an additional decrease in circadian variation for parameters representing conduction delay was observed. This indicates that the two drug types have quantifiable differences in their effects on AV-nodal conduction properties. The proposed method enables analysis of circadian variation in AV node conduction delay and refractoriness from 24h ambulatory ECG, which can be used to monitor and possibly predict the effect of rate control drugs.

Originalspråkengelska
Titel på värdpublikation2022 Computing in Cardiology, CinC 2022
FörlagIEEE Computer Society
ISBN (elektroniskt)9798350300970
DOI
StatusPublished - 2022
Evenemang2022 Computing in Cardiology, CinC 2022 - Tampere, Finland
Varaktighet: 2022 sep. 42022 sep. 7

Publikationsserier

NamnComputing in Cardiology
Volym2022-September
ISSN (tryckt)2325-8861
ISSN (elektroniskt)2325-887X

Konferens

Konferens2022 Computing in Cardiology, CinC 2022
Land/TerritoriumFinland
OrtTampere
Period2022/09/042022/09/07

Bibliografisk information

Publisher Copyright:
© 2022 Creative Commons.

Ämnesklassifikation (UKÄ)

  • Kardiologi
  • Medicinsk laboratorie- och mätteknik

Fingeravtryck

Utforska forskningsämnen för ”Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här