Volkan Tuzcu1, Selman Nas, Tülay Börklü, Ahmet Ugur. 1. Department of Pediatrics, Division of Cardiology, Arkansas Children's Hospital, University of Arkansas for Medical Sciences, 800 Marshall Street, Slot 512-3, Little Rock, AR 72202, USA. tuzcuvolkan@uams.edu
Abstract
AIMS: To assess heart rate complexity changes prior to the onset of atrial fibrillation (AF) using sample entropy. It has been proposed that the autonomic nervous system might have a role in the initiation of AF. METHODS AND RESULTS: The study included 25 patients with lone AF. Each record set contained two 30 min records from 25 subjects. Each patient had 30 min records containing the ECG immediately preceding an episode of AF (pre-AF) and 30 min of ECG during a period distant from any episode of AF (AFd). Sample entropy was used for complexity analysis. The sample entropy of R-R intervals was significantly reduced in the pre-AF period compared with the AFd period (0.45+/-0.25 vs. 0.78+/-0.46, P=0.003). The pre-AF periods were divided into three successive 10 min segments. There was a significant decreasing trend in entropy towards the onset of AF with linear mixed models (P=0.002). CONCLUSIONS: The heart rate complexity is reduced with a significant decreasing trend as assessed by R-R interval entropy prior to the onset of AF. There is a need for well-defined studies with larger patient groups in order to assess the entropy changes further and to look for possible changes, which might predict impending AF episodes.
AIMS: To assess heart rate complexity changes prior to the onset of atrial fibrillation (AF) using sample entropy. It has been proposed that the autonomic nervous system might have a role in the initiation of AF. METHODS AND RESULTS: The study included 25 patients with lone AF. Each record set contained two 30 min records from 25 subjects. Each patient had 30 min records containing the ECG immediately preceding an episode of AF (pre-AF) and 30 min of ECG during a period distant from any episode of AF (AFd). Sample entropy was used for complexity analysis. The sample entropy of R-R intervals was significantly reduced in the pre-AF period compared with the AFd period (0.45+/-0.25 vs. 0.78+/-0.46, P=0.003). The pre-AF periods were divided into three successive 10 min segments. There was a significant decreasing trend in entropy towards the onset of AF with linear mixed models (P=0.002). CONCLUSIONS: The heart rate complexity is reduced with a significant decreasing trend as assessed by R-R interval entropy prior to the onset of AF. There is a need for well-defined studies with larger patient groups in order to assess the entropy changes further and to look for possible changes, which might predict impending AF episodes.
Authors: Xiaohua Douglas Zhang; David Pechter; Liming Yang; Xiaoli Ping; Zuliang Yao; Rumin Zhang; Xiaolan Shen; Nina Xiaoyan Li; Jonathan Connick; Andrea R Nawrocki; Manu Chakravarthy; Cai Li Journal: PLoS One Date: 2017-09-06 Impact factor: 3.240
Authors: Katarzyna Buszko; Agnieszka Piątkowska; Edward Koźluk; Tomasz Fabiszak; Grzegorz Opolski Journal: Sci Rep Date: 2018-09-28 Impact factor: 4.379