Wada D R, Ward D S
Stanford University School of Medicine, Department of Anesthesia, Palo Alto, 94305.
IEEE Trans Biomed Eng. 1994 Feb;41(2):134-42. doi: 10.1109/10.284924.
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, we 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 micrograms/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.
计算机控制输液泵(CCIPs)中使用的经典药代动力学模型假定药物在血液中瞬间混合;然而,人体血液的平均再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,我们提出了一种用于麻醉性阿芬太尼的基于生理学的混合药代动力学模型。通过混合模型对短时间输注的响应推导出一个三室模型,并用于计算目标浓度为450微克/升的CCIP输注。对于这种输注,混合模型预测动脉血浆浓度将超过目标浓度39%,平均预测误差为3%。当使用由推注得出的三室药代动力学模型时,超调量和平均预测误差分别增加到100%和25%。可以通过降低最大可能输注速率或增加零级持续输注间隔来减少超调量。