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Published in: Pediatric Cardiology 1/2008

01-01-2008 | Original

Can Analysis of Heart Rate Variability Predict Arrhythmia in Children with Fontan Circulation?

Authors: A. Rydberg, M. Karlsson, R. Hörnsten, U. Wiklund

Published in: Pediatric Cardiology | Issue 1/2008

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Abstract

The aim of this study was to examine whether changes in heart rate variability (HRV) can predict arrhythmias in children who have undergone the Fontan procedure. The study included 15 children with total cavopulmonary connection. All examinations included echocardiography and 24-h ambulatory electrocardiogram with power spectral analysis of HRV and Poincaré plots (plots of each R-R interval as a function of the previous R-R interval). Six patients developed supraventricular tachycardia (four or more consecutive supraventricular beats). One patient was excluded from the study due to the development of bradycardia, necessitating placement of a pacemaker. Compared to the arrhythmia group, the patients without arrhythmias (n = 8) exhibited a significant difference in the standard deviation of instantaneous beat-to-beat R-R interval variability (= 0.02). Poincaré plots of patients without arrhythmias showed a typical torpedo- or comet-shaped pattern, whereas the arrhythmia group showed a more complex pattern. Although this study examined only a few subjects, needing confirmation by larger studies, it does indicate that patients who develop arrhythmias after receiving the Fontan procedure show a different Poincaré pattern compared to the nonarrhythmic group—even before the arrhythmia can be detected using the conventional Holter procedure. Routine follow-up using the Holter procedure and Poincaré plot analysis could help detect early arrhythmias.
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Metadata
Title
Can Analysis of Heart Rate Variability Predict Arrhythmia in Children with Fontan Circulation?
Authors
A. Rydberg
M. Karlsson
R. Hörnsten
U. Wiklund
Publication date
01-01-2008
Publisher
Springer-Verlag
Published in
Pediatric Cardiology / Issue 1/2008
Print ISSN: 0172-0643
Electronic ISSN: 1432-1971
DOI
https://doi.org/10.1007/s00246-007-9088-9

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