Literature DB >> 22406397

Daily distribution of atrial arrhythmic episodes in sick sinus syndrome patients: implications for atrial arrhythmia monitoring.

Alessandro Capucci1, Giovanni Calcagnini, Eugenio Mattei, Michele Triventi, Pietro Bartolini, Gianluca Biancalana, Alessio Gargaro, Andrea Puglisi, Federica Censi.   

Abstract

AIMS: Disorders such as paroxysmal atrial fibrillation (AF) and atrial tachyarrhythmias (AT) are difficult to investigate because of their intermittent, and sometimes asymptomatic, nature. The aim of this study was to investigate the daily temporal distribution of AT/AF episodes--onset and occurrence--by analysing data from 250 pacemaker-implanted, brady-tachy syndrome patients who have been enrolled in the Burden II Study. METHODS AND
RESULTS: Data were analysed accounting for the mode switch list which includes date, time, and duration of each mode switch episode. Chi-squared tests for goodness of fit were used to determine whether AT/AF episode were uniformly distributed. The population analysed in the present study suggests the occurrence of a circadian rhythm of paroxysmal AF episodes, similar to that described for other cardiovascular diseases, with clustering of events in the morning from 08:00 and (to a lesser degree) in the afternoon (03:00 to 18:00). The relative risk of AT/AF onset is 13% higher during daytime, 40% lower at night (P < 0.000001).
CONCLUSION: The use of monitoring devices based on daily electrocardiogram (ECG) recording could be optimized with these data, thus increasing the probability to detect AT/AF episodes.

Entities:  

Mesh:

Year:  2012        PMID: 22406397     DOI: 10.1093/europace/eus038

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  5 in total

1.  Suprachiasmatic nucleus function and circadian entrainment are modulated by G protein-coupled inwardly rectifying (GIRK) channels.

Authors:  L M Hablitz; H E Molzof; J R Paul; R L Johnson; K L Gamble
Journal:  J Physiol       Date:  2014-09-12       Impact factor: 5.182

2.  Daily Variation in the Occurrence of Different Subtypes of Stroke.

Authors:  Luciana Ripamonti; Roberto Riva; Fabiola Maioli; Corrado Zenesini; Gaetano Procaccianti
Journal:  Stroke Res Treat       Date:  2017-06-22

Review 3.  A Review of Atrial Fibrillation Detection Methods as a Service.

Authors:  Oliver Faust; Edward J Ciaccio; U Rajendra Acharya
Journal:  Int J Environ Res Public Health       Date:  2020-04-29       Impact factor: 3.390

4.  Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry).

Authors:  Yong-Yan Fan; Yan-Guang Li; Jian Li; Wen-Kun Cheng; Zhao-Liang Shan; Yu-Tang Wang; Yu-Tao Guo
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-05       Impact factor: 4.773

5.  Diurnal circadian variations in paroxysmal atrial fibrillation: The atherosclerosis risk in communities (ARIC) study.

Authors:  Jonathan Kim; Wendy Wang; Faye L Norby; Michael Zhang; Alvaro Alonso; Pamela L Lutsey; Elsayed Z Soliman; Julian Wolfson; Lin Y Chen
Journal:  J Electrocardiol       Date:  2020-10-30       Impact factor: 1.438

  5 in total

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