Prediction of Paroxysmal Atrial Fibrillation Using Nonlinear Analysis of the R-R Interval Dynamics Before the Spontaneous Onset of Atrial Fibrillation

• DOI: 10.1253/circj.70.94
• Publication Date: 2005-12-26T05:57:07Z
• Authors: Dong-Gu Shin; Cheol-Seung Yoo; Sang-Hoon Yi; Jun-Ho Bae; Young-Jo Kim; Jong-Sun Park; Geu-Ru Hong
• Keywords: Sample entropy; Approximate entropy; Paroxysmal atrial fibrillation; Vagal Tone

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