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Pharmacokinetic Model for the Inhibition of Simvastatin Metabolism by Itraconazole

机译:伊唑康唑抑制辛伐他汀代谢的药代动力学模型

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Background: Concomitant use of simvastatin, a HMG-CoA reductase inhibitor, with a potent CYP3A4 inhibitor, itraconazole, can result in a serious drug-drug interaction induced severe adverse event, rhabdomyolysis. Even though pharmacokinetic data regarding such interaction are available, they cannot be used for quantitative prediction. For this reason, we aimed to develop a pharmacokinetic model for predicting the magnitude of inhibition of simvastatin metabolism by itraconazole. Methods: Published data involving pharmacokinetic of simvastatin, itraconazole, and pharmacokinetic interaction between simvastatin and itraconazole were selected from PubMed search. Serum simvastatin concentrations were subsequently extracted and used for model development. Advanced Continuous Simulating Language Extreme (ACSLX) was used for modeling. Results: The drug-drug interaction model between simvastatin and itraconazole was simultaneously modeled using a one compartment parent-metabolite model for simvastatin, and a two-compartment model for itraconazole. Conclusion: The final drug-drug interaction model can adequately describe the actual simvastatin concentrations. Model application can be of advantage for dosing adjustment to avoid serious adverse effects resulted from concomitant use of both drugs.
机译:背景技术:伴随着辛伐他汀,HMG-COA还原酶抑制剂,用有效的CYP3A4抑制剂,Itraconazole,可导致严重的药物 - 药物相互作用诱导严重不良事件横纹症状。尽管有关于这种相互作用的药代动力学数据,但它们不能用于定量预测。出于这个原因,我们旨在开发一种用于预测伊唑康唑的血瓦斯汀代谢抑制幅度的药代动力学模型。方法:从PubMed搜索中选择涉及辛伐他汀,伊唑唑嗪和伊唑唑醇的药代动力学的药代动力学的发表数据。随后提取血清辛伐他汀浓度并用于模型开发。高级连续模拟语言Extreme(ACSLX)用于建模。结果:使用辛伐他汀的一个隔间母相代谢模型和伊丙唑醇的双隔室模型同时建模辛伐他汀和伊唑康唑之间的药物 - 药物相互作用模型。结论:最终药物 - 药物相互作用模型可以充分描述实际的辛伐他汀浓度。模型应用可以有利于给药调整,以避免伴随两种药物引起的严重不利影响。

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