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群体药代动力学在减少估算新生儿动力学参数所需血样采集频率方面的潜力。

Potential of population pharmacokinetics to reduce the frequency of blood sampling required for estimating kinetic parameters in neonates.

作者信息

Collart L, Blaschke T F, Boucher F, Prober C G

机构信息

Department of Medicine, Stanford University, Calif.

出版信息

Dev Pharmacol Ther. 1992;18(1-2):71-80.

PMID:1483365
Abstract

Data obtained from neonates receiving zidovudine as part of a phase I study were used to estimate the population pharmacokinetic parameters of this drug and to determine the minimum number of data points necessary to provide accurate estimates of the kinetic parameters and their variability. Analysis was performed with 541 concentrations of zidovudine, obtained from 32 infants and with a variety of reduced data sets using NONMEM (nonlinear mixed effect model). The reduced data sets were derived by randomly reducing the number of sampling time points per dosing interval and/or by randomly reducing the number of available subjects. We determined that accurate estimates of pharmacokinetic parameters and their variability were obtained with the inclusion of all 32 patients using only two concentration-time points per dose interval, provided that one of the points was obtained during the first 2 h after administration of the drug. The parameters themselves were adequately estimated with only 24 subjects and two concentration-time points per dose interval. We suggest that NONMEM should be used in addition to the traditional pharmacokinetic analysis to obtain more precise information directly in the population of interest with a minimum of blood sampling from each patient. This is especially critical in infants whose blood volumes are limited.

摘要

作为一项I期研究的一部分,从接受齐多夫定治疗的新生儿身上获取的数据被用于估算该药物的群体药代动力学参数,并确定为准确估算动力学参数及其变异性所需的最少数据点数量。使用非线性混合效应模型(NONMEM)对从32名婴儿身上获取的541个齐多夫定浓度数据以及各种缩减数据集进行了分析。缩减数据集是通过随机减少每个给药间隔的采样时间点数和/或随机减少可用受试者数量而得出的。我们确定,若每个剂量间隔仅使用两个浓度-时间点,且其中一个点是在给药后2小时内获得的,纳入所有32名患者即可获得药代动力学参数及其变异性的准确估算值。仅使用24名受试者以及每个剂量间隔两个浓度-时间点就能充分估算参数本身。我们建议,除了传统的药代动力学分析外,还应使用NONMEM,以便在目标人群中直接获得更精确的信息,同时尽量减少对每个患者的采血。这对于血容量有限的婴儿尤为关键。

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