Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy.
Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy.
Eur J Pharm Sci. 2018 Jan 1;111:20-28. doi: 10.1016/j.ejps.2017.09.028. Epub 2017 Sep 20.
Remifentanil based anesthesia is nowadays spread worldwide. This drug is characterized by a rapid onset of the analgesic effects, but also by a rapid onset of the side effects. For this reason, the knowledge of the remifentanil concentration in the human body is a key topic in anesthesiology. The aims of this work are to propose and validate a physiologically based pharmacokinetic model capable to predict both the pharmacokinetics and pharmacodynamics of remifentanil, and to take into account the inter-individual differences among the patients (such as height and body mass). The blood concentration of remifentanil has been successfully simulated and compared with experimental literature data. The pharmacodynamics, in terms of effect of remifentanil on minute ventilation and electroencephalogram, has been implemented in this model. Moreover, the remifentanil concentration in various organs and tissues is predicted, which is a significant improvement with respect to the traditional compartmental models. The availability of the model makes possible the prediction of the effects of remifentanil administration, also accounting for individual parameters.
雷米芬太尼麻醉目前在全球范围内广泛应用。这种药物的特点是镇痛作用起效迅速,但副作用也迅速出现。因此,了解人体中雷米芬太尼的浓度是麻醉学的一个关键课题。这项工作的目的是提出并验证一个基于生理学的药代动力学模型,该模型能够预测雷米芬太尼的药代动力学和药效学,并考虑到患者之间的个体差异(如身高和体重)。雷米芬太尼的血药浓度已经成功地进行了模拟,并与实验文献数据进行了比较。该模型还实现了雷米芬太尼对分钟通气量和脑电图的药效学作用。此外,还预测了雷米芬太尼在各种器官和组织中的浓度,这是对传统房室模型的重大改进。该模型的可用性使得可以预测雷米芬太尼给药的效果,同时还考虑了个体参数。