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无模型因果分析方法对心血管变异性的研究发现,机械刺激帕金森病患者可改善自主神经控制。

Model-free causality analysis of cardiovascular variability detects the amelioration of autonomic control in Parkinson's disease patients undergoing mechanical stimulation.

机构信息

Department of Internal Medicine, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.

出版信息

Physiol Meas. 2014 Jul;35(7):1397-408. doi: 10.1088/0967-3334/35/7/1397. Epub 2014 May 29.

Abstract

We tested the hypothesis that causality analysis, applied to the spontaneous beat-to-beat variability of heart period (HP) and systolic arterial pressure (SAP), can identify the improvement of autonomic control linked to plantar mechanical stimulation in patients with Parkinson's disease (PD). A causality index, measuring the strength of the association from SAP to HP variability, and derived according to the Granger paradigm (i.e. SAP causes HP if the inclusion of SAP into the set of signals utilized to describe cardiovascular interactions improves the prediction of HP series), was calculated using both linear model-based (MB) and nonlinear model-free (MF) approaches. Univariate HP and SAP variability indices in time and frequency domains, and bivariate descriptors of the HP-SAP variability interactions were computed as well. We studied ten PD patients (age range: 57-78 years; Hoehn-Yahr scale: 2-3; six males, four females) without orthostatic hypotension or symptoms of orthostatic intolerance and 'on-time' according to their habitual pharmacological treatment. PD patients underwent recordings at rest in a supine position and during a head-up tilt before, and 24 h after, mechanical stimulation was applied to the plantar surface of both feet. The MF causality analysis indicated a greater involvement of baroreflex in regulating HP-SAP variability interactions after mechanical stimulation. Remarkably, MB causality and more traditional univariate or bivariate techniques could not detect changes in cardiovascular regulation after mechanical stimulation, thus stressing the importance of accounting for nonlinear dynamics in PD patients. Due to the higher statistical power of MF causality we suggest its exploitation to monitor the baroreflex control improvement in PD patients, and we encourage the clinical application of the Granger causality approach to evaluate the modification of the autonomic control in relation to the application of a pharmacological treatment, a rehabilitation procedure or external intervention.

摘要

我们检验了一个假设,即应用于心率(HP)和收缩压(SAP)的自发性搏动间变异性的因果分析,可以识别与帕金森病(PD)患者足底机械刺激相关的自主控制改善。一个因果指数,根据格兰杰范式(即,如果将 SAP 纳入用于描述心血管相互作用的信号集中可以提高 HP 系列的预测,则 SAP 引起 HP),根据线性基于模型(MB)和非线性无模型(MF)方法来衡量 SAP 对 HP 变异性的关联强度。还计算了单变量 HP 和 SAP 时变和频域变异性指数,以及 HP-SAP 变异性相互作用的双变量描述符。我们研究了十位 PD 患者(年龄范围:57-78 岁;Hoehn-Yahr 量表:2-3;六男四女),他们没有直立性低血压或直立不耐受症状,并且根据他们的习惯性药物治疗“按时”服药。PD 患者在仰卧位休息时进行记录,在进行头高位倾斜之前和之后 24 小时,机械刺激应用于双脚足底表面。MF 因果分析表明,在机械刺激后,血压反射更能调节 HP-SAP 变异性相互作用。值得注意的是,MB 因果关系和更传统的单变量或双变量技术无法检测到机械刺激后心血管调节的变化,因此强调了在 PD 患者中考虑非线性动力学的重要性。由于 MF 因果关系具有更高的统计功效,我们建议利用其来监测 PD 患者的血压反射控制改善情况,并鼓励将格兰杰因果关系方法应用于临床,以评估与药物治疗、康复程序或外部干预相关的自主控制的改变。

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