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颈动脉脉搏波分析:血流动力学与心血管风险评估的未来方向。

Carotid Pulse Wave Analysis: Future Direction of Hemodynamic and Cardiovascular Risk Assessment.

作者信息

Parittotokkaporn Sam, de Castro Denis, Lowe Andrew, Pylypchuk Romana

机构信息

School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Biomedical Consulting, Paris, France and Auckland, New Zealand.

出版信息

JMA J. 2021 Apr 15;4(2):119-128. doi: 10.31662/jmaj.2020-0108. Epub 2021 Apr 2.

Abstract

Evaluation of the hemodynamic function of the cardiovascular system measurement of the mechanical properties of the large arteries may provide a substantial improvement over present techniques. Practitioners are familiar with the problem of low reproducibility of conventional sphygmomanometry, which exhibits reasonable accuracy but low precision owing to its marked variability over time and in different circumstances (e.g., the white coat effect). Arterial wall stiffness is a consequence of atherosclerosis developing over time; thus, it has little short-term variability and is thus preferable to be used as a prognostic marker. In particular, arterial stiffness can be evaluated at the carotid artery using noninvasive approaches based on wearable sensor technologies for pulse wave analysis. These enable the assessment of central pressures and pulse waveform parameters that are expected to replace peripheral blood pressure measurement using the inflatable cuff. In this study, we discuss this simple and inexpensive technique, which has been shown to be reliable with the clinical and epidemiological evidence for its use as a biomarker of cardiovascular risk.

摘要

评估心血管系统的血流动力学功能 测量大动脉的力学特性可能比现有技术有显著改进。从业者熟悉传统血压测量法重复性低的问题,传统血压测量法虽有合理的准确性,但由于其在不同时间和不同情况下(如白大衣效应)有明显的变异性,所以精度较低。动脉壁僵硬是动脉粥样硬化随时间发展的结果;因此,它的短期变异性很小,所以更适合用作预后标志物。特别是,可以使用基于可穿戴传感器技术的无创方法在颈动脉处评估动脉僵硬程度,用于脉搏波分析。这些方法能够评估中心压力和脉搏波形参数,有望取代使用充气袖带测量外周血压。在本研究中,我们讨论这种简单且廉价的技术,临床和流行病学证据已表明其作为心血管风险生物标志物是可靠的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b774/8119021/9083ec102148/2433-3298-4-2-0119-g001.jpg

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