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基于非感染受试者和感染患者数据的美罗培南和沃博巴坦群体药代动力学。

Population Pharmacokinetics of Meropenem and Vaborbactam Based on Data from Noninfected Subjects and Infected Patients.

机构信息

Institute for Clinical Pharmacodynamics, Inc., Schenectady, New York, USA.

Rempex Pharmaceuticals, San Diego, California, USA.

出版信息

Antimicrob Agents Chemother. 2021 Aug 17;65(9):e0260620. doi: 10.1128/AAC.02606-20.

Abstract

Meropenem-vaborbactam is a broad-spectrum carbapenem-beta-lactamase inhibitor combination approved in the United States and Europe to treat patients with complicated urinary tract infections and in Europe for other serious bacterial infections, including hospital-acquired and ventilator-associated pneumonia. Population pharmacokinetic (PK) models were developed to characterize the time course of meropenem and vaborbactam using pooled data from two phase 1 and two phase 3 studies. Multicompartment disposition model structures with linear elimination processes were fit to the data using NONMEM 7.2. Since both drugs are cleared primarily by the kidneys, estimated glomerular filtration rate (eGFR) was evaluated as part of the base structural models. For both agents, a two-compartment model with zero-order input and first-order elimination best described the pharmacokinetic PK data, and a sigmoidal Hill-type equation best described the relationship between renal clearance and eGFR. For meropenem, the following significant covariate relationships were identified: clearance (CL) decreased with increasing age, CL was systematically different in subjects with end-stage renal disease, and all PK parameters increased with increasing weight. For vaborbactam, the following significant covariate relationships were identified: CL increased with increasing height, volume of the central compartment () increased with increasing body surface area, and CL, , and volume of the peripheral compartment were systematically different between phase 1 noninfected subjects and phase 3 infected patients. Visual predictive checks demonstrated minimal bias, supporting the robustness of the final models. These models were useful for generating individual PK exposures for pharmacokinetic-pharmacodynamic (PK-PD) analyses for efficacy and Monte Carlo simulations to evaluate PK-PD target attainment.

摘要

美罗培南-法硼巴坦是一种广谱碳青霉烯类-β-内酰胺酶抑制剂合剂,已在美国和欧洲获批用于治疗复杂性尿路感染患者,在欧洲还可用于治疗其他严重细菌感染,包括医院获得性和呼吸机相关性肺炎。采用两项 I 期和两项 III 期研究的汇总数据,开发了群体药代动力学(PK)模型,以描述美罗培南和法硼巴坦的时间过程。采用 NONMEM 7.2 软件,使用具有线性消除过程的多室处置模型结构拟合数据。由于两种药物主要通过肾脏清除,因此评估了估算肾小球滤过率(eGFR)作为基础结构模型的一部分。对于这两种药物,零级输入和一级消除的两室模型最能描述 PK 数据,而 sigmoidal Hill 型方程最能描述肾清除率与 eGFR 之间的关系。对于美罗培南,确定了以下具有显著意义的协变量关系:清除率(CL)随年龄增加而降低,CL 在终末期肾病患者中存在系统差异,所有 PK 参数均随体重增加而增加。对于法硼巴坦,确定了以下具有显著意义的协变量关系:CL 随身高增加而增加,中央室容积(V1)随体表面积增加而增加,CL、Vd/F 和外周室容积在 I 期非感染受试者和 III 期感染患者之间存在系统差异。视觉预测检查表明偏差最小,支持最终模型的稳健性。这些模型有助于生成药效学和蒙特卡罗模拟的 PK-PD 分析的个体 PK 暴露,以评估 PK-PD 目标的实现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f13/8370236/10d4bb398ed3/aac.02606-20-f0001.jpg

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