脉搏波速度:方法学、临床应用及其与心率变异性的相互作用

Pulse Wave Velocity: Methodology, Clinical Applications, and Interplay with Heart Rate Variability.

作者信息

Pilz Niklas, Heinz Viktor, Ax Timon, Fesseler Leon, Patzak Andreas, Bothe Tomas Lucca

机构信息

Charité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, 10117 Berlin, Germany.

Charité - Universitätsmedizin Berlin, Institute of Translational Physiology, 10117 Berlin, Germany.

出版信息

Rev Cardiovasc Med. 2024 Jul 17;25(7):266. doi: 10.31083/j.rcm2507266. eCollection 2024 Jul.

Abstract

Pulse wave velocity (PWV) has been established as a promising biomarker in cardiovascular diagnostics, providing deep insights into vascular health and cardiovascular risk. Defined as the velocity at which the mechanical wave propagates along the arterial wall, PWV represents a useful surrogate marker for arterial vessel stiffness. PWV has garnered clinical attention, particularly in monitoring patients suffering from vascular diseases such as hypertension and diabetes mellitus. Its utility extends to preventive cardiology, aiding in identifying and stratifying cardiovascular risk. Despite the development of various measurement techniques, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI), methodological variability and lack of standardization lead to inconsistencies in PWV assessment. In addition, PWV can be estimated through surrogate parameters, such as pulse arrival or pulse transit times, although this heterogeneity limits standardization and, therefore, its clinical use. Furthermore, confounding factors, such as variations in sympathetic tone, strongly influence PWV readings, thereby necessitating careful control during assessments. The bidirectional relationship between heart rate variability (HRV) and PWV underscores the interplay between cardiac autonomic function and vascular health, suggesting that alterations in one could directly influence the other. Future research should prioritize the standardization and increase comparability of PWV measurement techniques and explore the complex physiological variables influencing PWV. Integrating multiple physiological parameters such as PWV and HRV into algorithms based on artificial intelligence holds immense promise for advancing personalized vascular health assessments and cardiovascular care.

摘要

脉搏波速度(PWV)已成为心血管诊断中一种很有前景的生物标志物,能深入洞察血管健康状况和心血管风险。PWV定义为机械波沿动脉壁传播的速度,是动脉血管僵硬度的一个有用替代指标。PWV已引起临床关注,尤其是在监测患有高血压和糖尿病等血管疾病的患者方面。其用途扩展到预防心脏病学,有助于识别和分层心血管风险。尽管已开发出各种测量技术,如直接或间接眼压测量法、多普勒超声、示波分析和磁共振成像(MRI),但方法学的变异性和缺乏标准化导致PWV评估存在不一致性。此外,PWV可通过替代参数估算,如脉搏到达或脉搏传输时间,尽管这种异质性限制了标准化,从而限制了其临床应用。此外,诸如交感神经张力变化等混杂因素会强烈影响PWV读数,因此在评估过程中需要仔细控制。心率变异性(HRV)与PWV之间的双向关系强调了心脏自主神经功能与血管健康之间的相互作用,表明其中一个的改变可能直接影响另一个。未来的研究应优先实现PWV测量技术的标准化并提高其可比性,并探索影响PWV的复杂生理变量。将PWV和HRV等多种生理参数整合到基于人工智能的算法中,有望推动个性化血管健康评估和心血管护理的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ee8/11317333/6a96601c1ca0/2153-8174-25-7-266-g1.jpg

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