Circadian rhythm dynamics on multiscale entropy identifies autonomic dysfunction associated with risk of ventricular arrhythmias and near syncope in chronic kidney disease.
Autonomic nervous system
Chronic kidney disease
Circadian rhythm
Heart rate variability
Sudden cardiac death
Journal
Journal of cardiology
ISSN: 1876-4738
Titre abrégé: J Cardiol
Pays: Netherlands
ID NLM: 8804703
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
06
02
2020
revised:
11
05
2020
accepted:
27
05
2020
pubmed:
8
7
2020
medline:
1
6
2021
entrez:
8
7
2020
Statut:
ppublish
Résumé
A discordant biological clock could potentially induce sudden cardiac death (SCD). We aimed to evaluate the circadian change of heart rate variability (HRV) and its relationship to the risks of ventricular arrhythmia (VA) and near syncope in patients with chronic kidney disease (CKD). In this retrospective study, non-CKD and CKD patients were enrolled and underwent a 24-hour Holter examination for linear and nonlinear HRV analyses. The multiscale entropy (MSE) method was selected for nonlinear HRV analyses. The documented VAs or episodes of near syncope were classified as high-risk SCD group (n=8) and others as low-risk SCD group (n=21). In linear analyses, time and frequency domains revealed no significant difference between groups. In nonlinear analyses with MSE, MSE Nonlinear analysis with MSE demonstrated the loss of circadian change in CKD patients and was associated with a higher risk for VAs and near syncope. The MSE method demonstrated the diurnal change of rhythm dynamics which identifies potential autonomic dysfunction leading to poor prognosis.
Sections du résumé
BACKGROUND
A discordant biological clock could potentially induce sudden cardiac death (SCD). We aimed to evaluate the circadian change of heart rate variability (HRV) and its relationship to the risks of ventricular arrhythmia (VA) and near syncope in patients with chronic kidney disease (CKD).
METHODS
In this retrospective study, non-CKD and CKD patients were enrolled and underwent a 24-hour Holter examination for linear and nonlinear HRV analyses. The multiscale entropy (MSE) method was selected for nonlinear HRV analyses. The documented VAs or episodes of near syncope were classified as high-risk SCD group (n=8) and others as low-risk SCD group (n=21).
RESULTS
In linear analyses, time and frequency domains revealed no significant difference between groups. In nonlinear analyses with MSE, MSE
CONCLUSIONS
Nonlinear analysis with MSE demonstrated the loss of circadian change in CKD patients and was associated with a higher risk for VAs and near syncope. The MSE method demonstrated the diurnal change of rhythm dynamics which identifies potential autonomic dysfunction leading to poor prognosis.
Identifiants
pubmed: 32631644
pii: S0914-5087(20)30179-9
doi: 10.1016/j.jjcc.2020.05.017
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
542-548Informations de copyright
Copyright © 2020 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.