Department of Clinical Pharmacology, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, India.
GVK Biosciences Private Limited, Hyderabad, Telangana, India.
Indian J Pharmacol. 2019 Jan-Feb;51(1):17-24. doi: 10.4103/ijp.IJP_230_16.
We attempted to develop a population pharmacokinetic model for primaquine (PQ) and evaluate the effect of renal and hepatic dysfunction on PQ pharmacokinetics.
The data were collected from a prospective, nonrandomized clinical study in healthy volunteers and patients with mild-moderate hepatic dysfunction and renal dysfunction. Model development was conducted using NONMEM software, and parameter estimation was conducted using first-order conditional estimation with interaction method.
Final data included a total of 53 study participants (13 healthy individuals, 12 with mild hepatic dysfunction, 6 with moderate hepatic dysfunction, and 22 with renal dysfunction) with 458 concentrations records. Absorption rate constant (Ka) was constrained to be higher than elimination rate constant to avoid flip-flop situation. Mild hepatic dysfunction was a significant covariate on volume of distribution, and it is approximately three folds higher compared to other subjects. Fixed effects parameter estimates of the final model - absorption rate constant (Ka), volume of distribution (V), and clearance (CL) - were 0.95/h, 498 L, and 39 L/h, respectively. Between-subject variability estimates (% CV) on Ka, V, and CL were 77, 66, and 65, respectively. Residual error was modeled as combination error model with the parameter estimates for proportion error 12% CV and additive error (standard deviation) 1.5 ng/ml.
Population pharmacokinetic modeling showed that the volume of distribution of PQ in subjects with moderate hepatic dysfunction increases approximately three folds resulting in a significantly lower plasma concentration.
我们试图建立一个人群药代动力学模型来研究磷酸氯喹(PQ),并评估肝肾功能不全对 PQ 药代动力学的影响。
该数据来源于一项在健康志愿者和轻度-中度肝功能不全及肾功能不全患者中进行的前瞻性、非随机临床研究。模型开发使用 NONMEM 软件进行,参数估计使用一阶条件估计和相互作用法。
最终数据包括来自 53 名研究参与者(13 名健康个体,12 名轻度肝功能不全,6 名中度肝功能不全,22 名肾功能不全)的 458 个浓度记录。为避免“翻转”情况,吸收速率常数(Ka)被约束为高于消除速率常数。轻度肝功能不全是分布容积的显著协变量,与其他研究对象相比,其值约为三倍。最终模型的固定效应参数估计值 - 吸收速率常数(Ka)、分布容积(V)和清除率(CL) - 分别为 0.95/h、498 L 和 39 L/h。Ka、V 和 CL 的个体间变异性估计值(% CV)分别为 77、66 和 65。残差误差采用组合误差模型进行建模,比例误差的参数估计值为 12% CV,加性误差(标准差)为 1.5 ng/ml。
群体药代动力学模型表明,中度肝功能不全患者的 PQ 分布容积增加约三倍,导致血浆浓度显著降低。