Acute increase of complexity in the neurocardiovascular dynamics following carotid stenting

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50657

Title:	Acute increase of complexity in the neurocardiovascular dynamics following carotid stenting
Authors:	Yuan,HK;Lin,C;Tsai,PH;Chang,FC;Lin,KP;Hu,HH;Su,MC;Lo,MT
Contributors:	數據分析方法研究中心
Keywords:	HEART-RATE-VARIABILITY;MULTISCALE ENTROPY;BLOOD-PRESSURE;STENOSIS;ENDARTERECTOMY
Date:	2011
Issue Date:	2012-03-27 17:50:30 (UTC+8)
Publisher:	國立中央大學
Abstract:	Objective - Percutaneous carotid angioplasty and stenting (CAS) has been used to improve cerebral circulation and autoregulation. However, whether CAS ameliorates the autonomic regulatory dynamics remains unclear. This prospective study examines the neurocardiovascular dynamics following carotid stenting. Methods - Thirty minutes electrocardiograms were recorded at three different time points (pre-operative, 1-h post-operative, 1-day post-operative) on twelve male patients (mean age 70.8 +/- 9.6 years) receiving unilateral primary CAS. The HR data were analyzed by the conventional heart rate variability (HRV) and the multiscale entropy (MSE) methods; the former associates with autonomic activities and the latter quantifies the regulatory complexity of heart beat intervals. Loss of complexity at multiple scales has been associated with decoupled regulatory network in vivo. Results - Conventional HRV indices showed no difference after CAS. Complexity indices increased significantly on scales 2-8 at 1-h and on scales 2-3 1-day post-treatment. The lower scale MSE (1-5) correlated with the frequency components of conventional HRV indices. The increased complexity could imply a restoration of the neurocardiovascular dynamics on the path to a healthier state. Conclusions - Primary CAS can induce a recovery in the neurocardiovascular regulatory dynamics in patients with high-grade carotid stenosis.
Relation:	ACTA NEUROLOGICA SCANDINAVICA
Appears in Collections:	[Research Center for adaptive Data analysis ] journal & Dissertation

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