Computer simulation of surgical interventions for the treatment of refractory pulmonary hypertension.

IF 0.8 4区 数学 Q4 BIOLOGY
Seong Woo Han, Charles Puelz, Craig G Rusin, Daniel J Penny, Ryan Coleman, Charles S Peskin
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引用次数: 1

Abstract

This paper describes computer models of three interventions used for treating refractory pulmonary hypertension (RPH). These procedures create either an atrial septal defect, a ventricular septal defect or, in the case of a Potts shunt, a patent ductus arteriosus. The aim in all three cases is to generate a right-to-left shunt, allowing for either pressure or volume unloading of the right side of the heart in the setting of right ventricular failure, while maintaining cardiac output. These shunts are created, however, at the expense of introducing de-oxygenated blood into the systemic circulation, thereby lowering the systemic arterial oxygen saturation. The models developed in this paper are based on compartmental descriptions of human hemodynamics and oxygen transport. An important parameter included in our models is the cross-sectional area of the surgically created defect. Numerical simulations are performed to compare different interventions and various shunt sizes and to assess their impact on hemodynamic variables and oxygen saturations. We also create a model for exercise and use it to study exercise tolerance in simulated pre-intervention and post-intervention RPH patients.

难治性肺动脉高压手术干预的计算机模拟。
本文描述了用于治疗难治性肺动脉高压(RPH)的三种干预措施的计算机模型。这些手术要么造成房间隔缺损,要么造成室间隔缺损,或者,在波茨分流术的情况下,造成动脉导管未闭。这三个病例的目的都是产生一个从右到左的分流,在右心室衰竭的情况下,允许心脏右侧的压力或容量卸载,同时保持心输出量。然而,这些分流术是以将缺氧血液引入体循环为代价的,从而降低了全身动脉氧饱和度。本文建立的模型是基于人体血流动力学和氧运输的区隔描述。我们的模型中包含的一个重要参数是手术产生的缺陷的横截面积。通过数值模拟来比较不同的干预措施和不同的分流尺寸,并评估其对血流动力学变量和血氧饱和度的影响。我们还创建了一个运动模型,并使用它来研究模拟干预前和干预后RPH患者的运动耐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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