将心室-心室相互作用(VVI)纳入肺动脉高压研究的重要性。

IF 1.9 4区 数学 Q2 BIOLOGY
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引用次数: 0

摘要

心室与心室间的相互作用(VVI)会影响心脏左右心室的血容量和压力,其原因在于分隔心室的室间隔壁的位置和受力平衡。在健康患者中,左心室的压力大大高于右心室,导致室间隔壁向右心室弯曲。然而,在肺动脉高压患者中,右心室的压力会显著增加,以至于在部分心动周期中与左心室的压力相近或超过左心室的压力。对于这些患者,室间隔壁会向左心室偏移,从而影响左心室的功能。利用数学建模研究这种影响是可能的,但现有的模型都是非线性的,会产生一个代数微分方程系统,在针对患者的临床数据优化过程中解决这个问题具有挑战性。本研究表明,简化的线性化模型足以解释 VVI 的影响,而且正如预期的那样,VVI 对肺动脉高压患者的影响更为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The importance of incorporating ventricular–ventricular interaction (VVI) in the study of pulmonary hypertension

Ventricular ventricular interaction (VVI) affects blood volume and pressure in the right and left ventricles of the heart due to the location and balance of forces on the septal wall separating the ventricles. In healthy patients, the pressure of the left ventricle is considerably higher than the right, resulting in a septal wall that bows into the right ventricle. However, in patients with pulmonary hypertension, the pressure in the right ventricle increases significantly to a point where the pressure is similar to or surpasses that of the left ventricle during portions of the cardiac cycle. For these patients, the septal wall deviates towards the left ventricle, impacting its function. It is possible to study this effect using mathematical modeling, but existing models are nonlinear, leading to a system of algebraic differential equations that can be challenging to solve in patient-specific optimizations of clinical data. This study demonstrates that a simplified linearized model is sufficient to account for the effect of VVI and that, as expected, the impact is significantly more pronounced in patients with pulmonary hypertension.

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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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