Laboratory of Clinical Psychopharmacology, Beijing An Ding Hospital, Capital Medical University, China.
Acta Pharmacol Sin. 2012 Nov;33(11):1409-16. doi: 10.1038/aps.2012.71. Epub 2012 Jul 23.
To develop a combined population pharmacokinetic model (PPK) to assess the magnitude and variability of exposure to both clozapine and its primary metabolite norclozapine in Chinese patients with refractory schizophrenia via sparse sampling with a focus on the effects of covariates on the pharmacokinetic parameters.
Relevant patient concentration data (eg, demographic data, medication history, dosage regimen, time of last dose, sampling time, concentrations of clozapine and norclozapine, etc) were collected using a standardized data collection form. The demographic characteristics of the patients, including sex, age, weight, body surface area, smoking status, and information on concomitant medications as well as biochemical and hematological test results were recorded. Persons who had smoked 5 or more cigarettes per day within the last week were defined as smokers. The concentrations of clozapine and norclozapine were measured using a HPLC system equipped with a UV detector. PPK analysis was performed using NONMEM. Age, weight, sex, and smoking status were evaluated as main covariates. The model was internally validated using normalized prediction distribution errors.
A total of 809 clozapine concentration data sets and 808 norclozapine concentration data sets from 162 inpatients (74 males, 88 females) at multiple mental health sites in China were included. The one-compartment pharmacokinetic model with mixture error could best describe the concentration-time profiles of clozapine and norclozapine. The population-predicted clearance of clozapine and norclozapine in female nonsmokers were 21.9 and 32.7 L/h, respectively. The population-predicted volumes of distribution for clozapine and norclozapine were 526 and 624 L, respectively. Smoking was significantly associated with increases in the clearance (clozapine by 45%; norclozapine by 54.3%). The clearance was significantly greater in males than in females (clozapine by 20.8%; norclozapine by 24.2%). The clearance of clozapine and norclozapine did not differ significantly between Chinese patients and American patients.
Smoking and male were significantly associated with a lower exposure to clozapine and norclozapine due to higher clearance. This model can be used in individualized drug dosing and therapeutic drug monitoring.
通过稀疏采样建立一个群体药代动力学模型(PPK),以评估中国难治性精神分裂症患者氯氮平及其主要代谢物去甲氯氮平暴露量的大小和变异性,重点考察协变量对药代动力学参数的影响。
使用标准化数据收集表收集相关患者浓度数据(如人口统计学数据、用药史、剂量方案、末次给药时间、采样时间、氯氮平和去甲氯氮平浓度等)。记录患者的人口统计学特征,包括性别、年龄、体重、体表面积、吸烟状况以及伴随用药信息和生化及血液学检查结果。过去一周内每天吸烟 5 支或 5 支以上者定义为吸烟者。采用配备 UV 检测器的 HPLC 系统测量氯氮平和去甲氯氮平的浓度。采用 NONMEM 进行 PPK 分析。评估年龄、体重、性别和吸烟状态作为主要协变量。使用归一化预测分布误差对内进行模型验证。
纳入来自中国多个精神卫生中心 162 例住院患者(74 名男性,88 名女性)的 809 个氯氮平浓度数据集和 808 个去甲氯氮平浓度数据集。氯氮平和去甲氯氮平的浓度-时间曲线最佳拟合模型为一室模型加混合误差模型。女性非吸烟者中氯氮平和去甲氯氮平的群体预测清除率分别为 21.9 和 32.7 L/h。氯氮平和去甲氯氮平的群体预测分布容积分别为 526 和 624 L。吸烟与清除率(氯氮平增加 45%;去甲氯氮平增加 54.3%)显著相关。男性的清除率显著高于女性(氯氮平增加 20.8%;去甲氯氮平增加 24.2%)。中国患者和美国患者的氯氮平和去甲氯氮平清除率无显著差异。
吸烟和男性与氯氮平和去甲氯氮平的暴露量较低显著相关,原因是清除率较高。该模型可用于个体化药物剂量调整和治疗药物监测。