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替考拉宁在中国成人患者中的群体药动学研究
引用本文:吕佩瑜,邓方斌,林玮玮,温悦,欧阳华.替考拉宁在中国成人患者中的群体药动学研究[J].中国药学杂志,2020(8):616-622.
作者姓名:吕佩瑜  邓方斌  林玮玮  温悦  欧阳华
作者单位:厦门大学附属中山医院药学部;厦门大学药学院;福建医科大学附属第一医院药学部
基金项目:福建省科技计划项目资助(2018J01394);福建省科技厅引导性项目资助(2017Y0033);厦门市医疗卫生指导性项目资助(3502Z20199125)。
摘    要:目的建立中国成年患者的替考拉宁(teicoplanin,TEC)群体药动学(population pharmacokinetics,PPK)模型,考察TEC药动学参数的影响因素。方法前瞻性收集139例革兰阳性球菌感染患者静脉注射TEC后的222份常规监测血药浓度和相关信息,采用一级消除的一室模型进行数据拟合,并应用非线性混合效应模型(nonlinear mixed effect model,NONMEM)程序建立PPK模型。采用Bootstrap、正态预测分布误差法(normalized predictive distribution error,NPDE)进行最终模型评价。利用蒙特卡洛模拟法对给药方案进行优化。结果确定了肌酐清除率(creatinine clearance,CLcr)、白蛋白(albumin,ALB)为影响TEC清除率的主要因素。最终模型为:CL(L·h^-1)=1.24×(CLcr/77)0.564×31/ALB;V(L)=69.2。验证表明,模型稳定、有效,且有较好的预测效能。对于不同ALB和CLcr的多数患者起始负荷剂量400 mg/q12h,iv,3次,维持剂量400~800 mg·d^-1的给药方案可达有效治疗谷浓度。严重感染者需调整负荷剂量至800 mg/q12h,iv,3次,维持剂量400~800 mg·d^-1的给药方案来确保血药浓度达到15 mg·L^-1以上。结论本实验报道了CLcr、ALB对TEC清除率有显著影响,所建模型对TEC在中国成人患者中实现个体化给药具有重要应用价值。

关 键 词:替考拉宁  中国成人患者  群体药动学  非线性混合效应模型  蒙特卡洛模拟法

Population Pharmacokinetics of Teicoplanin in Chinese Adult Patients
LU Pei-yu,DENG Fang-bin,LIN Wei-wei,WEN Yue,OUYANG Hua.Population Pharmacokinetics of Teicoplanin in Chinese Adult Patients[J].Chinese Pharmaceutical Journal,2020(8):616-622.
Authors:LU Pei-yu  DENG Fang-bin  LIN Wei-wei  WEN Yue  OUYANG Hua
Institution:(Department of Pharmacy,Zhongshan Hospital Affiliated to Xiamen University,Xiamen 361004,China;School of Pharmaceutical Sciences,Xiamen University,Xiamen 361102,China;Department of Pharmacy,The First Affiliated Hospital of Fujian Medical University,Fuzhou 350005,China)
Abstract:OBJECTIVE To establish a population pharmacokinetics(PPK)model of teicoplanin(TEC)in Chinese adult patients and investigate the factors influencing TEC pharmacokinetic parameters.METHODS A total of 222 blood samples and related information were prospectively collected from 139 inpatients with Gram-positive bacterial infection receiving TEC intravenously.A one-compartment model with first order elimination was used to perform the PPK analysis and the PPK model of TEC was developed via nonlinear mixed effects modeling(NONMEM)approach.The stability and prediction of the final model were evaluated by Bootstrap and normalized predictive distribution error(NPDE).Monte Carlo simulation was used to evaluate the effective of currently recommended dosing regimen.RESULTS The creatinine clearance(CLcr)and albumin(ALB)were identified as the most significant covariate on the clearance rate of TEC.The established final model was:CL(L·h^-1)=1.24×(CLcr/77)0.564×31/ALB;V(L)=69.2.It is verified that the established final model is stable,effective and predictable.For most patients with different serum albumin concentration and CLcr,the initial loading dose of 400 mg/q12h,iv,3 times,and the maintenance dose of 400-800 mg·d^-1 can achieve effective treatment of trough concentration.Severe infections need to adjust the loading dose to 800 mg/q12h,iv,3 times,and maintain a dose of 400-800 mg·d^-1 of the dosing regimens to ensure that the blood concentration reached 15 mg·L^-1.CONCLUSION This study reports that CLcr,ALB has a significant effect on TEC clearance and the model has important value for the individualization of TEC therapy in Chinese adult patients.
Keywords:teicoplanin  Chinese adult patient  population pharmacokinetics  nonlinear mixed effect model  Monte Carlo simulation
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