Literature DB >> 16377931

Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the R-R interval dynamics before the spontaneous onset of atrial fibrillation.

Dong-Gu Shin1, Cheol-Seung Yoo, Sang-Hoon Yi, Jun-Ho Bae, Young-Jo Kim, Jong-Sun Park, Geu-Ru Hong.   

Abstract

BACKGROUND: New methods based on nonlinear theory have been developed to give more insight into complex heart rate (HR) dynamics. This study was designed to test the hypothesis that altered HR dynamics, as analyzed with complexity and fractal measures, may precede the spontaneous onset of paroxysmal atrial fibrillation (PAF). Secondly, the difference in the temporal change of these measurements between the different types of atrial fibrillation (AF) was assessed. METHODS AND
RESULTS: From 105 Holter tapes in which PAF was recorded, 44 PAF (>or=5 min) episodes in 33 patients (22 men, 58 +/- 12 years), preceded by sinus rhythm for more than 1 h, were selected and submitted to time-and frequency-domain HR variability analyses, along with detrended fluctuation analysis, approximate entropy (ApEn) and sample entropy (SampEn). The 60 min before the onset of AF were divided into 6 10-min periods and studied using repeated measures ANOVA. PAF episodes were divided into 3 subgroups: an increased HF component and decreased L/H ratio (vagal type, n=20); increased L/H ratio and decreased HF component (sympathetic type, n=14); and non-related type (n=10). None of the time- or frequency-domain parameters showed any significant change before AF in any type of AF. The alpha(1) showed a tendency to decrease before the onset of AF and the change in alpha(1) was divergent according to the AF type. The ApEn decreased before the onset of AF (1.005+/-0.046, 60-50 min before AF to 0.894+/-0.052, 10-0 min before AF; p=0.032). The SampEn also decreased progressively before the start of AF (1.165 +/- 0.085, 60-50 min before AF to 0.887 +/- 0.077, 10-0 min before AF, p=0.003). The decrease in both the ApEn and SampEn was irrespective of the AF type.
CONCLUSIONS: A reduction in the ApEn and SampEn, which reflects the nonlinear complexity of HR variability, is a hallmark of altered HR dynamics preceding the spontaneous onset of AF.

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Year:  2006        PMID: 16377931     DOI: 10.1253/circj.70.94

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  8 in total

1.  Towards assessing the sympathovagal balance.

Authors:  Melvyn J Lafitte; Orin R Sauvageot; Marion Fevre-Genoulaz; Marc Zimmermann
Journal:  Med Biol Eng Comput       Date:  2006-07-04       Impact factor: 2.602

2.  Lower preoperative fluctuation of heart rate variability is an independent risk factor for postoperative atrial fibrillation in patients undergoing major pulmonary resection.

Authors:  Pawel Ciszewski; Joanna Tyczka; Jacek Nadolski; Magdalena Roszak; Wojciech Dyszkiewicz
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-07-05

3.  The P Wave Time-Frequency Variability Reflects Atrial Conduction Defects before Paroxysmal Atrial Fibrillation.

Authors:  Raúl Alcaraz; Arturo Martínez; José J Rieta
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-11-23       Impact factor: 1.468

4.  Nonlinear Heart Rate Dynamics Before and After Paroxysmal Atrial Fibrillation Events.

Authors:  Ting-Wei Ernie Liao; Li-Wei Lo; Yenn-Jiang Lin; Shih-Lin Chang; Yu-Feng Hu; Fa-Po Chung; Tze-Fan Chao; Jo-Nan Liao; Hui-Wen Yang; Men-Tzung Lo; Shih-Ann Chen
Journal:  Acta Cardiol Sin       Date:  2022-09       Impact factor: 1.800

Review 5.  Pharmacological interventions for preventing atrial fibrillation after lung surgery: systematic review and meta-analysis.

Authors:  Xiaomei Wang; Demei Zhang; Yanxia Ren; Jingjing Han; Guangling Li; Xueya Guo
Journal:  Eur J Clin Pharmacol       Date:  2022-09-22       Impact factor: 3.064

6.  Sample Entropy in Electrocardiogram During Atrial Fibrillation.

Authors:  Takuya Horie; Naoto Burioka; Takashi Amisaki; Eiji Shimizu
Journal:  Yonago Acta Med       Date:  2018-03-28       Impact factor: 1.641

Review 7.  Information Theory and Atrial Fibrillation (AF): A Review.

Authors:  Dhani Dharmaprani; Lukah Dykes; Andrew D McGavigan; Pawel Kuklik; Kenneth Pope; Anand N Ganesan
Journal:  Front Physiol       Date:  2018-07-18       Impact factor: 4.566

8.  The complexity of hemodynamic response to the tilt test with and without nitroglycerine provocation in patients with vasovagal syncope.

Authors:  Katarzyna Buszko; Agnieszka Piątkowska; Edward Koźluk; Tomasz Fabiszak; Grzegorz Opolski
Journal:  Sci Rep       Date:  2018-09-28       Impact factor: 4.379

  8 in total

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