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关于大动脉和大脑动脉压力间的相似性透静衰退:一个数学建模研究

Vasiliki Bikia¹, Georgios Rovas², Sokratis Anagnostopoulos²

¹Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland. vasiliki.bikia@epfl.ch.

Scientific reports

|July 4, 2023

概括

大动脉静脉压衰减 (DPD) 对血管健康至关重要,但很难测量. 这项研究发现,动脉DPD与大动脉DPD非常相似,这表明动脉测量可以可靠地评估血管健康.

科学领域:

心血管生理学心血管生理学
生物医学工程生物医学工程
医学诊断医学诊断医学诊断

背景情况:

大动脉静脉压衰减 (DPD) 是血管健康的关键指标,反映了动脉硬度.
测量大动脉压力波形具有挑战性,限制了大动脉DPD的临床实用性.
在心血管监测中,动脉血压经常被用作中央大动脉压力的替代品.

研究的目的:

为了调查大动脉和大脑动脉的腹压衰减 (DPD) 模式是否相似.
为了确定阴道 DPD 是否可以作为大动脉 DPD 的可靠代理来评估血管健康.

主要方法:

利用验证的动脉树一维数值模型来生成一个in-silico健康的人群.
在模拟的心血管疾病中,将大动脉 (大动脉RC) 的 DPD 时间常数与动脉 (动脉RC) 的 DPD 时间常数进行比较.
分析了大动脉和大脑动脉压力的波形形状和透缩衰变时间常数.

主要成果:

证明了大动脉RC和动脉RC值之间的近乎绝对一致.
报告了一种接近1的相关性 (r ≈ 1) 对于大动脉/心血管RC分布 (1.76 ± 0.94秒 / 1.74 ± 0.87秒).
在各种模拟条件下观察到大动脉和动脉之间的DPD模式和时间常数之间存在强烈的相关性.

结论:

这项研究建立了基于in-silico建模的带DPD和大动脉DPD之间的强烈相关性.
研究结果表明,动脉DPD测量可以有效地代替大动脉DPD在血管健康评估中.
需要在人体内进行进一步的体内验证,以确认临床适用性.

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