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糖尿病植物神经病变病人心率变异的非线性定量分析
引用本文:徐秋萍 葛霁光. 糖尿病植物神经病变病人心率变异的非线性定量分析[J]. 上海生物医学工程, 1998, 19(2): 20-24
作者姓名:徐秋萍 葛霁光
作者单位:浙江医科大学附属第一医院心内科(徐秋萍),浙江大学生物科学和技术系(葛霁光,徐征),浙江医科大学附属第一医院心内科(张小英)
摘    要:目的:研究糖尿病人植物神经病变与心率变异的关系。对象:正常对照组和根据临床有无糖尿病神经病变(DAN)分组的糖尿病病人,方法:应用24小时动态心电图对正常和糖尿病人进行心率变异的线性,非线性散点图和非线性定量参数分析,结果:单纯糖尿病组SDNN,SDANN和PNN50低于正常组(P〈0.05);糖尿病+DAN组各项线性时域分析指标均低于正常和单纯糖尿病组(P〈0.01-0.001),散点图分析结果

关 键 词:糖尿病 植物神经病变 心率变异

Quantitative analysis of nonlinear heart rate variability in diabetic autonomic neuropathy
Xu Qiuping Ge Jiguang Xu Zheng Zhang Xiaoying. Quantitative analysis of nonlinear heart rate variability in diabetic autonomic neuropathy[J]. Shanghai Journal of Biomedical Engineering, 1998, 19(2): 20-24
Authors:Xu Qiuping Ge Jiguang Xu Zheng Zhang Xiaoying
Abstract:The time domain: nonlinear Poincare plot and nonlinear quantitative analyysis of heart rate variability were studied from 24 - hours ambulatory electrocardiogram in 22 diabetic patients without diabetic autonomic neuropathy (DAN) (Group DAN - ), 18 diabetic patients with DAN (Group DAN )and 30 healthy controls (Group C).The results showed that SDDNN.SDANN and PNN50 were markly decreased in Group DAN -compared with Group C(P<0. 05). In Group DAN the indidcators of all heart rate variability in time Domain were decreased obviously compared with Group C and Group DAN-(P<0.01-0. 001). nonlinear studying,Group C showed a comet -shaped Poincare Plot patterns. Most subjects in Group DAN -exhibit a torpedo-shaped Poincare plot patterns and thd majority of Group DAN had a short stick - shaped Poincare plot patterns. The results of nonlinear quantitative analysis presented that vector angle index ( VAI) : short axis and area of plot in Group DAN -were lower than that in Group C. The indices of vector length index(VLI), VAI,long axis,short axis and area of plot in Group DAN were much lower than that in Group C and Group DAN- (P<0. 01~P<0. 001).The results indicated that the heart rate variability has a good relationship with diabetic autonomic neuropathy in clinical and have a hope to become the effective objective diagnosis standard. Also the analysis of nonlinear heart rate variability can help to predict the risk stratification in diabetes.
Keywords:diabetes mellttus diabetic autonomic neuropathy heart rate variability
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