基于非参数人群药代动力学模型和模拟的CYP2B6基因型引导老年人给药异丙酚麻醉。

A. Eugene
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引用次数: 11

摘要

本文的主要目的是验证基于参数药代动力学(PK)结果的研究数据的非参数药物计量模型将准确识别CYP2B6基因型亚组的假设。方法异丙酚浓度-时间数据最初报告于Kansaku等人2011年的出版物。使用PMETRICS R软件包进行非参数非线性混合效应建模(NLME),使用FORTRAN编译器估计群体药代动力学模型参数。最后,在MATLAB Simbiology中进行了基于模型的加药仿真。结果共51例患者纳入最终的PK分析。双室伽马乘法误差模型充分描述了异丙酚浓度-时间数据。拟合优度图的总体预测和个体预测的R2分别为0.927和0.992。UGT1A9和CYP2B6 G516T基因变异对PK参数差异均无统计学意义,而CYP2B6 A785G基因变异对淘汰率差异均无统计学意义。基于模型的剂量模拟将CYP2B6 AA和AG基因型患者与GG基因型患者以及来自多中心试验的患者进行比较,结果表明,异丙酚输注剂量减少50%,至25mg/kg/min,可导致大致相等的药物暴露。结论基于药理学模型和模拟,如果不调整CYP2B6 AA和AG基因型老年人的剂量,在开始输注后1小时内异丙酚血暴露量明显增加250%。因此,基于药代动力学模型,将老年患者CYP2B6 AA和AG基因变异进行基因分型,当输注剂量调整为25mg/kg/min时,麻醉和镇静期间异丙酚总血暴露量会减少。
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CYP2B6 Genotype Guided Dosing of Propofol Anesthesia in the Elderly based on Nonparametric Population Pharmacokinetic Modeling and Simulations.
OBJECTIVE The primary aim of this article is to test the hypothesis that nonparametric pharmacometric modeling will accurately identify CYP2B6 genotype subgroups based on data from a study that reported results based on parametric pharmacokinetics (PK). METHODS Propofol concentration-time data were originally reported in the Kansaku et al. 2011 publication. Nonparametric Nonlinear Mixed Effects Modeling (NLME) was conducted using the PMETRICS R package while population pharmacokinetic model parameters were estimated using a FORTRAN compiler. Finally, model-based dosing simulations were conducted in the MATLAB Simbiology. RESULTS A total of 51 patients were included in the final PK analysis. A two-compartment gamma multiplicative error model adequately described the propofol concentration-time data. The precision of the goodness-of-fit plots resulted in an R2 of 0.927 and an R2 of 0.992 for the population prediction and individual predictions, respectively. Neither the UGT1A9 nor the CYP2B6 G516T gene variants resulted in statistically significant PK parameter differences while the CYP2B6 A785G gene variants resulted in statistically significant differences for the elimination rate. Model-based dosing-simulations comparing patients with the CYP2B6 AA & AG genotypes to both GG genotypes and patients from a multicenter trial suggest a 50% decrease in propofol infusion dose, to 25mg/kg/min, be made to result in approximately equivalent drug exposures. CONCLUSION Based on the pharmacometric modeling and simulation, if no dosage adjustments are made for the elderly CYP2B6 AA and AG genotypes, a 250% higher propofol blood exposure will be evident within 1-hour from the start of the infusion. Thus, based on the pharmacokinetic model, genotyping elderly patients for the CYP2B6 AA and AG gene variants will decrease the total propofol blood exposure during anesthesia and sedation when an infusion dose adjustment is made to 25mg/kg/min.
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