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Pharmacokinetic-pharmacodynamic modelling of the cardiovascular effects of drugs – method development and application to magnesium in sheep

机译:药物心血管作用的药代动力学药效学模型–方法开发和在绵羊镁中的应用

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摘要

BackgroundThere have been few reports of pharmacokinetic models that have been linked to models of the cardiovascular system. Such models could predict the cardiovascular effects of a drug under a variety of circumstances. Limiting factors may be the lack of a suitably simple cardiovascular model, the difficulty in managing extensive cardiovascular data sets, and the lack of physiologically based pharmacokinetic models that can account for blood flow changes that may be caused by a drug. An approach for addressing these limitations is proposed, and illustrated using data on the cardiovascular effects of magnesium given intravenously to sheep.The cardiovascular model was based on compartments for venous and arterial blood. Blood flowed from arterial to venous compartments via a passive flow through a systemic vascular resistance. Blood flowed from venous to arterial via a pump (the heart-lung system), the pumping rate was governed by the venous pressure (Frank-Starling mechanism). Heart rate was controlled via the difference between arterial blood pressure and a set point (Baroreceptor control). Constraints were made to pressure-volume relationships, pressure-stroke volume relationships, and physical limits were imposed to produce plausible cardiac function curves and baseline cardiovascular variables. "Cardiovascular radar plots" were developed for concisely displaying the cardiovascular status. A recirculatory kinetic model of magnesium was developed that could account for the large changes in cardiac output caused by this drug. Arterial concentrations predicted by the kinetic model were linked to the systemic vascular resistance and venous compliance terms of the cardiovascular model. The kinetic-dynamic model based on a training data set (30 mmol over 2 min) was used to predict the results for a separate validation data set (30 mmol over 5 min).
机译:背景技术很少有药物动力学模型与心血管系统模型相关的报道。这样的模型可以预测药物在各种情况下的心血管作用。限制因素可能是缺乏合适的简单心血管模型,难以管理广泛的心血管数据集以及缺乏可以解释可能由药物引起的血流变化的基于生理的药代动力学模型。提出了一种解决这些局限性的方法,并使用了静脉给予绵羊的镁对心血管的影响的数据进行了说明。心血管模型基于静脉和动脉血液的腔室。血液通过系统性血管阻力通过被动流动从动脉腔室流向静脉腔室。血液通过泵(心肺系统)从静脉流到动脉,泵速由静脉压力控制(弗兰克-史达琳机制)。心率是通过动脉血压与设定点之间的差值来控制的(压力感受器控制)。限制了压力-体积关系,压力-中风体积关系,并施加了物理极限以产生合理的心脏功能曲线和基线心血管变量。开发“心血管雷达图”以简洁地显示心血管状态。建立了镁的再循环动力学模型,该模型可以解释这种药物引起的心输出量的大变化。动力学模型预测的动脉浓度与心血管模型的全身血管阻力和静脉顺应性相关。基于训练数据集(2分钟内30 mmol)的动力学模型用于预测单独的验证数据集(5分钟内30 mmol)的结果。

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