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首页> 外文会议>BMEI 2012;International Conference on Biomedical Engineering and Informatics >The simulation of the relevance of dose and Hill coefficient to drug effect
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The simulation of the relevance of dose and Hill coefficient to drug effect

机译：剂量和希尔系数与药物效应相关性的模拟

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Clinical trial simulation (CTS) which is the process of simulating clinical trials based on a mathematical model can facilitate analyzing the ambiguity about the dose-response. To investigate how the drug effect varies with the parameters dose and Hill coefficient (N) this study simulates a pharmacokinetic-pharmacodynamic (PK-PD) model. Based on the MATLAB software the simulations illustrated the results of the variation of the drug effect in two- and three-dimensional diagrams. It was showed that the drug effect lags behind the plasma drug concentration and with the increasing dose it doesn't always increase obviously. With the increasing value of N the maximum drug effects decrease when the doses are lower than 9 mg whereas they increase when the doses are higher than 11 mg. Results demonstrate that the relationship between parameter and drug effect can be clearly observed during the process of simulation. The diagrams are meaningful for the selection of rational doses and N in the clinical dosage regimen.
机译：临床试验模拟（CTS）是基于数学模型模拟临床试验的过程，可有助于分析有关剂量反应的不确定性。为了研究药物效果如何随参数剂量和希尔系数（N）的变化，本研究模拟了药代动力学-药效学（PK-PD）模型。在MATLAB软件的基础上，仿真以二维和三维图的形式说明了药物作用的变化结果。结果表明，药物作用滞后于血浆药物浓度，并且随着剂量的增加并不总是明显增加。随着N值的增加，当剂量低于9 mg时，最大的药物作用会降低，而当剂量高于11 mg时，最大药物作用会增加。结果表明，在仿真过程中可以清楚地观察到参数与药物作用之间的关系。该图对于临床剂量方案中合理剂量和N的选择是有意义的。

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