信托点选择对基于脉冲波速度的无袖脉冲压力估计的影响:离体研究

Raj Kiran V, Rahul Manoj, S. Ponkalaivani, P. Nabeel, J. Joseph
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引用次数: 0

摘要

中心血压(BP)的优越性(特别是其脉动成分);脉压(PP))高于肱动脉脉压(PP),这在最近的一些临床研究中得到了强调。基于Bramwell-Hill (BH)方程的局部脉冲波速度(PWV)的无管方法被广泛用于评估PP。这些方法假设PWV是恒定的,然而,PWV随压力而变化。关于这一点,文献没有明确指出在心脏周期内应该选择哪一个瞬时局部PWV值来评估PP。由于局部PWV可以从分布在血液脉冲周期中的各个基点测量,因此研究选择特定的基点以可靠地计算PP可能是相关的。在这方面,我们进行了一项离体研究,采用切除的羊动脉,通过改变PP和平均动脉压(MAP)来模拟21种独立的血流条件。舒张末期(ED) PWV比收缩期峰值(PS) PWV低32%,理论上它们是一个心动周期内PWV的两端。使用ED-PWV评估的PP低估了26%,而使用PS-PWV评估的PP高估了30%。预期产生精确PP值的PWV对应于血液脉冲周期中其平均值发生的瞬间。ED-PWV和PS-PWV分别低估了预期PWV的17%和14%,这解释了估计PPs的偏差。第一阶导数最大值的时间瞬间与周期平均值的时间瞬间更接近,使其成为PP估计中测量PWV的潜在选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Fiduciary Point Choice on Pulse Wave Velocity-based Cuffless Pulse Pressure Estimation: Ex-vivo Study
Superiority of central blood pressure (BP) (especially its pulsatile component; pulse pressure (PP)) over that of brachial has been underlined recently through several clinical studies. Local pulse wave velocity (PWV) based cuffless methods using Bramwell-Hill (BH) equation are popularly employed to assess PP. These approaches assume PWV to be constant, whereas, it changes with pressure. Pertaining to this, literature is unclear on which instantaneous local PWV value should be chosen within the cardiac cycle for PP evaluation. Since local PWV can be measured from various fiducial points spread across the blood pulse cycle, it may be relevant to investigate on the choice of particular one(s) for reliable PP calculation. We have conducted an ex-vivo study in this regard employing an excised ovine artery, emulating 21 independent flow conditions by changing the PP and mean arterial pressure (MAP). The measured end-diastolic (ED) PWV was lower than the peak-systolic (PS) PWV by 32%, and in theory they are the extremities of PWV within a cardiac cycle. An underestimation of 26% was observed in the PP evaluated using ED-PWV and overestimation of 30% using PS-PWV. The PWV that is expected to yield an exact PP value corresponded to the instant in the blood pulse cycle where its mean occurred. The ED-PWV underestimated and the PS-PWV over-estimated the expected PWV by 17% and 14%, respectively, which explains the deviations in the estimated PPs. The time instant of the first derivate maximum being closer to that of the cycle’s mean makes it a potential choice for measuring PWV for PP estimation.
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