Ting-Wei Ernie Liao1,2,3, Li-Wei Lo1,2,3, Yenn-Jiang Lin1,2,3, Shih-Lin Chang1,2,3, Yu-Feng Hu1,2,3, Fa-Po Chung1,2,3, Tze-Fan Chao1,2,3, Jo-Nan Liao1,2,3, Hui-Wen Yang4,5, Men-Tzung Lo4, Shih-Ann Chen1,2,3,6. 1. School of Medicine, College of Medicine, National Yang Ming Chiao Tung University. 2. Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital. 3. Institute of Clinical Medicine, Cardiovascular Research Institute, National Yang Ming Chiao Tung University, Taipei. 4. Institute of Translational and Interdisciplinary Medicine and Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan. 5. Medical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, United States. 6. Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.
Abstract
Background: Heart rate complexity, derived from nonlinear heart rate variability (HRV), has been shown to help predict the outcomes of various diseases. Changes in heart rate complexity before and after paroxysmal atrial fibrillation (PAF) events are unclear. Objectives: To evaluate changes in heart rate complexity through nonlinear HRV before and after PAF events. Methods: We enrolled 65 patients (72 ± 12.34 years old, 31 females) with 99 PAF events who received 24-hour Holter recording, and analyzed nonlinear HRV variables including Poincaré plot analysis, sample entropy (SampEn), and multiscale entropy (MSE). HRV analyses were applied to a 20-minute window before the onset and after the termination of PAF events. HRV parameters were evaluated and compared based on eight different 5-minute time segments, as we divided each 20-minute window into four segments of 5 minutes each. Results: SampEn and MSE1~5 significantly decreased before the onset of PAF events, whereas SampEn, MSE1~5 and MSE6~20 significantly increased after the termination of PAF events. SD1 and SD2, which are nonlinear HRV parameters calculated via Poincaré plot analysis, did not significantly change before the PAF events, however they both decreased significantly after termination. Conclusions: Heart rate complexity significantly decreased before the initiation and increased after the termination of PAF events, which indicates the crucial role of nonlinear heart rate dynamics in the initiation and termination of PAF.
Background: Heart rate complexity, derived from nonlinear heart rate variability (HRV), has been shown to help predict the outcomes of various diseases. Changes in heart rate complexity before and after paroxysmal atrial fibrillation (PAF) events are unclear. Objectives: To evaluate changes in heart rate complexity through nonlinear HRV before and after PAF events. Methods: We enrolled 65 patients (72 ± 12.34 years old, 31 females) with 99 PAF events who received 24-hour Holter recording, and analyzed nonlinear HRV variables including Poincaré plot analysis, sample entropy (SampEn), and multiscale entropy (MSE). HRV analyses were applied to a 20-minute window before the onset and after the termination of PAF events. HRV parameters were evaluated and compared based on eight different 5-minute time segments, as we divided each 20-minute window into four segments of 5 minutes each. Results: SampEn and MSE1~5 significantly decreased before the onset of PAF events, whereas SampEn, MSE1~5 and MSE6~20 significantly increased after the termination of PAF events. SD1 and SD2, which are nonlinear HRV parameters calculated via Poincaré plot analysis, did not significantly change before the PAF events, however they both decreased significantly after termination. Conclusions: Heart rate complexity significantly decreased before the initiation and increased after the termination of PAF events, which indicates the crucial role of nonlinear heart rate dynamics in the initiation and termination of PAF.