Clinical Pharmacology Research Center, Beijing Key Laboratory of Clinical PK and PD Investigation for Innovative Drugs, Peking Union Medical College Hospital, Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Clinical Pharmacology Department, Beijing Linking Truth Technology Co., Ltd, Beiing, China.
Br J Clin Pharmacol. 2022 Sep;88(9):4111-4120. doi: 10.1111/bcp.15342. Epub 2022 Apr 23.
To assess the appropriateness of the body weight or fixed dosing regimen, a population pharmacokinetic (PopPK) model of kukoamine B has been built in sepsis patients.
Plasma concentrations of kukoamine B and the covariates information were taken from 30 sepsis patients assigned into 0.06 mg/kg, 0.12 mg/kg and 0.24 mg/kg groups in a Phase IIa clinical trial. The PopPK model was built using a nonlinear mixed-effect (NLME) modelling approach. Based on the final model, PK profiles were respectively simulated 500 times applying the body weight and renal function information of 12 sepsis patients from the 0.24 mg/kg group on the body weight or the fixed dosing regimen. For each dosing regimen, PK profiles of 6000 virtual patients were obtained. Statistical analyses for C and C were performed. If the biases of C and C can all meet the criteria of ±15%, the fixed dosing regimen can substitute for the body weight dosing regimen.
The PopPK model was successfully developed using the NLME approach. A bi-compartmental model was selected as the basic model. Renal function was identified as a statistically significant covariate of systemic clearance with the objective function value (OFV) decreasing 8.6, resulting in a 5.2% decrease in inter-individual variability (IIV) of systemic clearance. Body weight was not identified as a statistically significant covariate. Simulation results demonstrated two methods had a bias of 8.1% for C , and 8.6% for C . Furthermore, PK variability was lower on the fixed dosing regimen than the body weight regimen.
Based on the simulation results, a fixed dosing regimen was recommended in the subsequent clinical trials.
评估体重或固定剂量方案的适宜性,我们建立了脓毒症患者库库胺 B 的群体药代动力学(PopPK)模型。
从一项 IIa 期临床试验中,将 30 例脓毒症患者分为 0.06mg/kg、0.12mg/kg 和 0.24mg/kg 组,分别采集库库胺 B 的血浆浓度和协变量信息。采用非线性混合效应(NLME)建模方法构建 PopPK 模型。基于最终模型,分别使用来自 0.24mg/kg 组的 12 例脓毒症患者的体重和肾功能信息,模拟体重或固定剂量方案下的 500 次 PK 曲线。对于每种剂量方案,获得 6000 个虚拟患者的 PK 曲线。对 C 和 C 进行统计分析。如果 C 和 C 的偏差都能满足 ±15%的标准,则固定剂量方案可以替代体重剂量方案。
采用 NLME 方法成功建立了 PopPK 模型。选择双室模型作为基本模型。肾功能被确定为系统清除率的统计学显著协变量,目标函数值(OFV)降低 8.6,导致系统清除率的个体间变异(IIV)降低 5.2%。体重未被确定为统计学显著协变量。模拟结果表明,两种方法对 C 的偏差为 8.1%,对 C 的偏差为 8.6%。此外,固定剂量方案的 PK 变异性低于体重方案。
基于模拟结果,建议在后续临床试验中采用固定剂量方案。