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The hybrid model: a new pharmacokinetic model for computer-controlled infusion pumps

机译：混合模型：用于计算机控制的输液泵的新药代动力学模型

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摘要

Classical pharmacokinetic models used in computer-controlled infusion pumps (CCIPs) assume instantaneous mixing of drug in blood; however, the average recirculation time of blood in man is approximately one minute. To investigate the effects of recirculation dynamics on the transient performance of CCIPs the authors propose a hybrid physiologically-based pharmacokinetic model for the narcotic alfentanil. A three-compartment model was derived from the response of the hybrid model to a short infusion and used to compute a CCIP infusion targeting 450 /spl mu/g/l. For this infusion, the hybrid model predicts that the arterial plasma concentration will overshoot the target concentration by 39 percent with an average prediction error of 3 percent. The overshoot and average prediction error increase to 100 and 25 percent respectively when using a three-compartment pharmacokinetic model derived from a bolus. The overshoot can be reduced by decreasing the maximum possible infusion rate, or by increasing the zero-order hold infusion interval.
机译：在计算机控制的输液泵（CCIP）中使用的经典药代动力学模型假定血液中药物的瞬时混合。但是，人体内血液的平均循环时间约为一分钟。为了研究再循环动力学对CCIPs瞬态性能的影响，作者提出了一种基于生理学的混合麻醉品阿芬太尼的药代动力学模型。从混合模型对短输注的响应中得出三室模型，并用于计算以450 / spl mu / g / l为目标的CCIP输注。对于这种输液，混合模型预测动脉血浆浓度将比目标浓度高39％，平均预测误差为3％。当使用源自推注的三室药代动力学模型时，过冲和平均预测误差分别增加到100％和25％。可以通过减小最大可能的输液速率或通过增加零阶保持输液间隔来减少过冲。

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