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Optimal control of drug therapy: Melding pharmacokinetics with viral dynamics

机译:药物治疗的最佳控制:融合药物动力学与病毒动力学

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Pharmacokinetics were melded with a viral dynamical model to design an optimal drug administration regimen such that the basic reproductive number for the virus was minimized. One-compartmental models with two kinds of drug delivery routes, intravenous and extravascular with multiple dosages, and two drug elimination rates, first order and Michaelis-Menten rates, were considered. We defined explicitly the basic reproductive number for the viral dynamical model melded with pharmacokinetics. When the average plasma drug concentration was constant, intravenous administration of the drug with small dosages applied frequently minimized the basic reproductive number. For extravascular administration, the basic reproductive number initially decreases to a trough point and then increases as the drug dosage increases. When a therapeutic window is considered, numerical studies indicate that the wider the window, the smaller the basic reproductive number. Once the width of the therapeutic window is fixed, the basic reproductive number monotonously declines as the minimum therapeutic level increases. The findings suggest that the existence of drug dosage and drug administration interval that minimize the basic reproductive number could help design the optimal drug administration regimen.
机译:将药代动力学与病毒动力学模型融合,以设计最佳的药物给药方案,从而使病毒的基本生殖数量降至最低。考虑一室模型,该模型具有两种给药途径,即多剂量静脉内和血管外给药,以及两种药物消除率,一阶和米高斯-门腾率。我们明确定义了与药代动力学相融合的病毒动力学模型的基本生殖数。当平均血浆药物浓度恒定时,静脉内施用小剂量药物经常使基本生殖数目最小化。对于血管外给药,基本生殖数最初降低至谷点,然后随着药物剂量的增加而增加。当考虑治疗窗时,数值研究表明,窗越宽,基本生殖数越小。一旦治疗窗的宽度固定,基本生殖数就会随着最低治疗水平的提高而单调下降。这些发现表明,使基本生殖数量最小化的药物剂量和给药间隔可以帮助设计最佳的给药方案。

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