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采用非参数自适应网格算法对健康志愿者中瑞格列奈的群体药代动力学建模。

Population pharmacokinetic modelling of repaglinide in healthy volunteers by using Non-Parametric Adaptive Grid Algorithm.

机构信息

Department of Pharmacology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.

出版信息

J Clin Pharm Ther. 2010 Feb;35(1):105-12. doi: 10.1111/j.1365-2710.2009.01042.x.

Abstract

OBJECTIVE

To estimate population pharmacokinetic parameters of repaglinide in 121 healthy Malaysian volunteers.

METHODS

Each subject received 4 mg of oral repaglinide. Six blood samples were taken per individual (0, 30, 60, 120, 180 and 240 min) for repaglinide's serum concentration determination by using high-performance liquid chromatography. The parametric Iterative Two-Stage Bayesian Population Model (it2b) program followed by the Non-Parametric Adaptive Grid (npag) program was used to determine a population pharmacokinetic modelling of repaglinide.

RESULTS

Using the npag program, the mean elimination rate constant (k(el)) of repaglinide was 0.58 +/- 0.27 h and the volume of distribution (V(d)) was 23.09 +/- 9.19 L/h.

CONCLUSION

In this first report, specifically on the population pharmacokinetic modelling of repaglinide, the data generated should help us to better understand appropriate dosage-regimens for the drug.

摘要

目的

评估 121 名健康马来西亚志愿者中瑞格列奈的群体药代动力学参数。

方法

每位受试者接受 4 毫克口服瑞格列奈。每个个体采集 6 个血样(0、30、60、120、180 和 240 分钟),通过高效液相色谱法测定瑞格列奈的血清浓度。采用迭代两阶段贝叶斯群体模型(it2b)程序和非参数自适应网格(npag)程序确定瑞格列奈的群体药代动力学模型。

结果

使用 npag 程序,瑞格列奈的平均消除率常数(k(el))为 0.58±0.27 h,分布容积(V(d))为 23.09±9.19 L/h。

结论

在这第一篇报告中,特别是关于瑞格列奈的群体药代动力学模型,生成的数据应有助于我们更好地了解该药物的适当剂量方案。

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