处理脉搏波速度作为动脉硬度测量的压力依赖性的选择:心踝血管指数(CAVI)和CAVI的更新。

IF 7.3 Q1 PERIPHERAL VASCULAR DISEASE
Pulse Pub Date : 2018-03-01 Epub Date: 2017-09-07 DOI:10.1159/000479322
Bart Spronck, Tammo Delhaas, Mark Butlin, Koen D Reesink, Alberto P Avolio
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引用次数: 26

摘要

脉搏波速度(PWV)是动脉硬度的一个标志,它会随着血压的变化而瞬间改变。在这篇小型综述中,我们讨论了处理PWV血压依赖性的两种主要方法:(1)将PWV转换为与压力无关的指标,以及(2)纠正PWV本身的压力依赖性。在选项1中,我们关注心踝血管指数(CAVI)。CAVI本质上是刚度指数β的一种形式- CAVI是对(心脏到脚踝)轨迹的估计,而β是对单个动脉的压力和直径测量的估计。僵硬指数β,因此也CAVI,已被证明,理论上表现出轻微的残余血压依赖,由于使用舒张压而不是固定的参考血压。此外,由于使用了压力-直径关系的估计导数,CAVI表现出压力依赖性。在这篇小型综述中,我们将从理论上和统计上解决CAVI的血压依赖性。此外,我们回顾了修正后的指数(CAVI0和β0),理论上不显示残留的血压依赖性。在选项2中,回顾了三种修正PWV的方法:(1)使用压力与横截面积之间的指数关系,(2)通过统计模型调整,(3)通过参考值或经验法则。方法2需要研究人口来描述统计模型的特征,方法3需要有代表性的参考研究。鉴于这些限制,方法1似乎更适合纠正PWV本身的血压依赖性。综上所述,有几种方法可用于处理PWV的血压依赖性。如果寻求与血压无关的指标,理论上CAVI0优于CAVI。如果需要单独校正PWV,则使用指数压力面积关系为用户提供了一种校正PWV的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Options for Dealing with Pressure Dependence of Pulse Wave Velocity as a Measure of Arterial Stiffness: An Update of Cardio-Ankle Vascular Index (CAVI) and CAVI0.

Pulse wave velocity (PWV), a marker of arterial stiffness, is known to change instantaneously with changes in blood pressure. In this mini-review, we discuss two main approaches for handling the blood pressure dependence of PWV: (1) converting PWV into a pressure-independent index, and (2) correcting PWV per se for the pressure dependence. Under option 1, we focus on cardio-ankle vascular index (CAVI). CAVI is essentially a form of stiffness index β - CAVI is estimated for a (heart-to-ankle) trajectory, whereas β is estimated for a single artery from pressure and diameter measurements. Stiffness index β, and therefore also CAVI, have been shown to theoretically exhibit a slight residual blood pressure dependence due to the use of diastolic blood pressure instead of a fixed reference blood pressure. Additionally, CAVI exhibits pressure dependence due to the use of an estimated derivative of the pressure-diameter relationship. In this mini-review, we will address CAVI's blood pressure dependence theoretically, but also statistically. Furthermore, we review corrected indices (CAVI0 and β0) that theoretically do not show a residual blood pressure dependence. Under option 2, three ways of correcting PWV are reviewed: (1) using an exponential relationship between pressure and cross-sectional area, (2) by statistical model adjustment, and (3) through reference values or rule of thumb. Method 2 requires a population to be studied to characterise the statistical model, and method 3 requires a representative reference study. Given these limitations, method 1 seems preferable for correcting PWV per se for its blood pressure dependence. In summary, several options are available to handle the blood pressure dependence of PWV. If a blood pressure-independent index is sought, CAVI0 is theoretically preferable over CAVI. If correcting PWV per se is required, using an exponential pressure-area relationship provides the user with a method to correct PWV on an individual basis.

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