Lledó-García R, Hennig S, Karlsson M O
Division of Pharmacokinetics and Drug Therapy, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Clin Pharmacol Ther. 2009 Jul;86(1):70-6. doi: 10.1038/clpt.2009.24. Epub 2009 Mar 11.
The objective of this study was to assess the relative performances of concentration-controlled trial (CCT) and dose-controlled clinical trial (DCT) designs with varying (i) interindividual variability (IIV) in clearance (CL), (ii) relative clinical importance of rejection and infection episodes, (iii) parameter values for the concentration-effect relationships, (iv) interindividual covariance between exposure and effect relationships, and (v) nonlinearity of the concentration-effect relationship. Different scenarios were simulated and analyzed for DCT and CCT designs, and these were compared with respect to bias, prediction, and power. The DCT design showed superiority across all the scenarios studied, with regard to precision and bias in parameter estimates, precision and bias in the estimate of optimal exposure, and bias in prediction of the therapeutic benefit at estimated optimal exposure. However, when a pharmacokinetic-pharmacodynamic (PKPD) covariance in the parameters was considered, either the variance-equivalent concentration-controlled trial (VCCT) or the DCT was the more useful design. Across a number of scenarios, the DCT design is the more informative one.
本研究的目的是评估浓度控制试验(CCT)和剂量控制临床试验(DCT)设计在以下方面变化时的相对性能:(i)清除率(CL)的个体间变异性(IIV);(ii)排斥反应和感染事件的相对临床重要性;(iii)浓度-效应关系的参数值;(iv)暴露与效应关系之间的个体间协方差;以及(v)浓度-效应关系的非线性。针对DCT和CCT设计模拟并分析了不同的场景,并在偏差、预测和效能方面对这些设计进行了比较。在所研究的所有场景中,DCT设计在参数估计的精度和偏差、最佳暴露估计的精度和偏差以及估计最佳暴露时治疗益处预测的偏差方面均表现出优势。然而,当考虑参数中的药代动力学-药效学(PKPD)协方差时,方差等效浓度控制试验(VCCT)或DCT是更有用的设计。在许多场景中,DCT设计提供的信息更多。