首页 | 本学科首页   官方微博 | 高级检索  
     

以短时心率变异性反映充血性心力衰竭患者自主神经活动的改变
引用本文:刘红夺儿 湛萍 王志刚 彭屹. 以短时心率变异性反映充血性心力衰竭患者自主神经活动的改变[J]. 中国生物医学工程学报, 2016, 35(2): 155-161. DOI: 10.3969/j.issn.0258-8021.2016. 02.005
作者姓名:刘红夺儿 湛萍 王志刚 彭屹
作者单位:中国医学科学院基础医学研究所 北京协和医学院基础学院, 北京 100005
基金项目:国家自然科学基金(81071225,81471746)
摘    要:基于短时心率变异性(HRV)分析,探讨充血性心力衰竭(CHF)患者自主神经活动的变化和影响。选用THEW数据库中正常人子数据库作为正常对照组(n=189),对于PhysioNet中两个CHF子数据库的样本(n=44),按照NYHA等级,将NYHA I-II级划分轻度CHF 组(n=12),NYHA III-IV级为重度CHF组(n=32)。对每一个Holter记录选取日间和夜间安静态各5 min的RR间期(RRI)序列,分别进行时域、基于AR模型的频域和去趋势波动(DFA)分析。在正常组、轻度CHF组和重度CHF组等三组中,CHF患者日间的短时分形尺度指数((α1)d)两两比较均有显著性差异,并存在下降趋势(依次分别为1.35±0.21、1.03±0.29和0.81±0.29),反映心率动力学从分形特性转向更随机化的结构。同时,日间HFn((HFn)d)在三组间的两两比较中均存在显著性差异,并存在上升趋势(依次分别为23.89%±12.78%、37.22%±11.24%和56.30%±15.28%), 表明CHF导致交感神经和迷走神经交互作用趋于消失。利用夜间RRI(RRIn),(HFn)d 和 (α1)d等3个指标进行Fisher线性判别,区分正常人和CHF患者的灵敏性和特异性分别为90.91%和92.06%,而区分轻度和重度CHF患者的灵敏性和特异性分别为84.38%和100%。所进行的研究将HRV非线性方法与传统方法相结合评估自主神经状态, 为监测CHF病情或观察治疗效果等潜在的临床应用提供了依据。

关 键 词:心率变异性  充血性心力衰竭  去趋势波动分析(DFA)  自主神经系统  

Short-Term Heart Rate Variability for Assessment of Autonomic Nervous Activity in Patients with Congestive Heart Failure
Liu Hongduoer Zhan Ping Wang Zhigang Peng Yi. Short-Term Heart Rate Variability for Assessment of Autonomic Nervous Activity in Patients with Congestive Heart Failure[J]. Chinese Journal of Biomedical Engineering, 2016, 35(2): 155-161. DOI: 10.3969/j.issn.0258-8021.2016. 02.005
Authors:Liu Hongduoer Zhan Ping Wang Zhigang Peng Yi
Affiliation:Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005,China
Abstract:This study is aimed to investigate the autonomic modulation and influence in patients with congestive heart failure (CHF) based on short term heart rate variability (HRV) analysis. One dataset from THEW as normal controls (n=189) and two datasets of CHF patients from PhysioNet were selected in this study. According to  NYHA class, 44 CHF patients were divided into mild CHF group (NYHA I-II, n=12) and severe CHF group (NYHA III-IV, n=32). Two 5 minute episodes of RR interval (RRI), representing day and night in resting state, were selected in each Holter record. Then, time domain analysis, AR model based frequency domain analysis and detrended fluctuation analysis (DFA) were calculated in each series. The results demonstrated that there were significant differences for short term fractal scaling exponent in the day ((α1)d) in any two groups among normal controls, mild CHF group and severe CHF group. Moreover, the declining trend of (α1)d (1.35±0.21, 1.03±0.29 and 0.81±0.29, respectively) showed the change of heart rate dynamics from fractal properties towards random structure. In the meanwhile, significant differences existed for HFn in the day ((HFn)d) in any two groups among the abovementioned three groups. And the sustained increase of (HFn)d (23.89%±12.78%, 37.22%±11.24% and 56.30%±15.28%, respectively) suggested the loss of reciporcal function between sympathetic and vagal branches. Using RRIn(night RRI), (HFn)d and (α1)d , the sensitivity and specificity for discriminating normal people and CHF patients reached 90.91% and 92.06%; Moreover, the sensitivity and specificity for discriminating mild CHF patients and severe CHF patients were 84.38% and 100%. Combining nonlinear analysis and traditional methods, our results provided the basis for clinical use of HRV in monitoring the progress of CHF and testing therapeutic effects.
Keywords:heart rate variability (HRV)   congestive heart failure (CHF)   detrended fluctuation analysis (DFA)   autonomic nervous system (ANS)  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国生物医学工程学报》浏览原始摘要信息
点击此处可从《中国生物医学工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号