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A minimal model to describe short-term haemodynamic changes of the cardiovascular system

机译:描述心血管系统短期血管动力学变化的最小模型

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Aims Current pharmacokinetic-pharmacodynamic models describing the haemodynamic changes often do not include necessary feedback mechanisms. These models provide adequate description of current data but may fail to adequately extrapolate to additional scenarios. This study aims to develop a minimal model to describe the short-term changes of haemodynamics that can be used as the basis for model development by future researchers. Methods A minimal haemodynamic model was developed to describe the influence of drugs on blood pressure components. The model structure was defined based on known mechanisms and previously published models. The model was evaluated under 2 different simulation settings. The model parameters were calibrated to describe (without estimation) the haemodynamics of 2 antihypertensive drugs with data extracted from the literature. Structural identifiability analysis was done using various combinations of the observed variable. Results The proposed model structure includes mean arterial pressure, heart rate and stroke volume and is composed of 4 states described by differential equations. Model evaluation showed flexibility in describing the haemodynamics at different target perturbations. Overlay plots of model predictions and literature data showed a good description without data fitting. The structural identifiability analysis revealed all model parameters and initial conditions were identifiable only when heart rate, mean arterial pressure and cardiac output were measured together. Conclusions A minimal model of the haemodynamic system was developed and evaluated. The model accounted for short-term haemodynamic feedback processes. We propose that this model can be used as the basis for future pharmacometric analyses of drugs acting on the haemodynamic system.
机译:目的目前描述血流动力学变化的药代动力学模型通常不包括必要的反馈机制。这些模型提供了当前数据的充分描述,但可能无法充分推断出其他情况。本研究旨在开发一个描述血流动力学短期变化的最小模型,作为未来研究人员开发模型的基础。方法建立最小血流动力学模型,描述药物对血压成分的影响。模型结构是根据已知的机制和以前发布的模型定义的。在两种不同的模拟设置下对模型进行了评估。利用从文献中提取的数据对模型参数进行校准,以描述(无需估计)2种抗高血压药物的血流动力学。使用观察变量的各种组合进行结构可识别性分析。结果提出的模型结构包括平均动脉压、心率和卒中量,由微分方程描述的4种状态组成。模型评估显示了在不同目标扰动下描述血流动力学的灵活性。模型预测和文献数据的叠加图显示了良好的描述,无需数据拟合。结构可识别性分析表明,只有同时测量心率、平均动脉压和心输出量时,才能识别所有模型参数和初始条件。结论建立并评估了血流动力学系统的最小模型。该模型考虑了短期血流动力学反馈过程。我们建议,该模型可作为未来对作用于血流动力学系统的药物进行药理学分析的基础。

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