Non-invasive evaluation of the effect of metoprolol on the atrioventricular node during permanent atrial fibrillation

Valentina D.A. Corino, Frida Sandberg, Luca T. Mainardi, Sara R. Ulimoen, Steve Enger, Arnljot Tveit, Pyotr G. Platonov, Leif Sornmo

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

Abstract

The aim of this study was to evaluate changes in AV nodal properties during administration of metoprolol, using a novel ECG-based method for parameter estimation. The AV nodal parameters account for the probability of an impulse not passing through the fast pathway, the absolute refractory periods of the slow and fast pathways (aRPs and aRPf), representing the functional refractory period, and related prolongation in the respective refractory periods. Twenty patients (age 71±8 years, 14 men) with permanent AF from the RATe control in Atrial Fibrillation (RATAF) database were included in this study. Recordings during baseline and metoprolol administration were analyzed. Furthermore, simulated RR series were generated mimicking metoprolol administration. During metoprolol administration, aRP was significantly prolonged in both pathways (aRPs: 342±39 vs. 408±81 ms, p<0.001; aRPf: 432±74 vs. 527±83 ms, p<0.001). Similar results were found for the simulated RR series: both aRPs and aRPf were significantly prolonged with metoprolol. The AV nodal parameters reflect expected changes after metoprolol administration, i.e., a prolongation in functional refractory period. The simulations suggest that aRP may serve as an estimate of the functional refractory period.

Original languageEnglish
Title of host publicationComputing in Cardiology 2014
Pages889-892
Number of pages4
Volume41
EditionJanuary
ISBN (Electronic)978-1-4799-4347-0
DOIs
Publication statusPublished - 2014 Jan 1
Event41st Computing in Cardiology Conference, CinC 2014 - Cambridge, United States
Duration: 2014 Sep 72014 Sep 10

Publication series

NameComputing in Cardiology
PublisherIEEE Computer Society
ISSN (Print)2325-8861

Conference

Conference41st Computing in Cardiology Conference, CinC 2014
Country/TerritoryUnited States
CityCambridge
Period2014/09/072014/09/10

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