Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, Australia.
Malar J. 2011 Jul 1;10:181. doi: 10.1186/1475-2875-10-181.
Currently, population pharmacokinetic (PK) studies of anti-malarial drugs are designed primarily by the logistical and ethical constraints of taking blood samples from patients, and the statistical models that are fitted to the data are not formally considered. This could lead to imprecise estimates of the target PK parameters, and/or designs insufficient to estimate all of the parameters. Optimal design methodology has been developed to determine blood sampling schedules that will yield precise parameter estimates within the practical constraints of sampling the study populations. In this work optimal design methods were used to determine sampling designs for typical future population PK studies of dihydroartemisinin, the principal biologically active metabolite of oral artesunate.
Optimal designs were derived using freely available software and were based on appropriate structural PK models from an analysis of data or the literature and key sampling constraints identified in a questionnaire sent to active malaria researchers (3-4 samples per patient, at least 15 minutes between samples). The derived optimal designs were then evaluated via simulation-estimation.
The derived optimal sampling windows were 17 to 29 minutes, 30 to 57 minutes, 2.5 to 3.7 hours and 5.8 to 6.6 hours for non-pregnant adults; 16 to 29 minutes, 31 minutes to 1 hour, 2.0 to 3.4 hours and 5.5 to 6.6 hours for designs with non-pregnant adults and children and 35 to 59 minutes, 1.2 to 3.4 hours, 3.4 to 4.9 hours and 6.0 to 8.0 hours for pregnant women. The optimal designs resulted in acceptable precision of the PK parameters.
The proposed sampling designs in this paper are robust and efficient and should be considered in future PK studies of oral artesunate where only three or four blood samples can be collected.
目前,抗疟药物的群体药代动力学(PK)研究主要是根据从患者采集血样的后勤和伦理限制来设计的,而且拟合数据的统计模型也没有经过正式考虑。这可能导致对目标 PK 参数的估计不准确,或者设计不足以估计所有参数。已经开发了最优设计方法来确定采血方案,以便在采样研究人群的实际限制内获得精确的参数估计。在这项工作中,使用最优设计方法来确定二氢青蒿素的典型未来群体 PK 研究的采样设计,二氢青蒿素是口服青蒿琥酯的主要生物活性代谢物。
最优设计是使用免费提供的软件得出的,并基于对数据或文献分析的适当结构 PK 模型以及在向活跃的疟疾研究人员发送的问卷中确定的关键采样约束(每个患者 3-4 个样本,样本之间至少 15 分钟)。然后通过模拟估计来评估得出的最优设计。
对于非孕妇成年人,得出的最优采样窗口分别为 17 至 29 分钟、30 至 57 分钟、2.5 至 3.7 小时和 5.8 至 6.6 小时;对于非孕妇成年人和儿童的设计,得出的最优采样窗口分别为 16 至 29 分钟、31 分钟至 1 小时、2.0 至 3.4 小时和 5.5 至 6.6 小时;对于孕妇,得出的最优采样窗口分别为 35 至 59 分钟、1.2 至 3.4 小时、3.4 至 4.9 小时和 6.0 至 8.0 小时。最优设计可使 PK 参数具有可接受的精度。
本文提出的采样设计稳健且高效,在只能采集三到四个血样的口服青蒿琥酯 PK 研究中应予以考虑。