Hashimoto Y, Sheiner L B
Department of Pharmacy, School of Pharmacy, University of California, San Francisco 94143-0626.
J Pharmacokinet Biopharm. 1991 Jun;19(3):333-53. doi: 10.1007/BF03036255.
Analyses of simulated data from pharmacokinetic/pharmacodynamic (PK/PD) studies varying with respect to the amount and timing of observations were undertaken to assess the value of these design choices. The simulation models assume mono- or biexponential drug disposition, and Emax-type pharmacodynamics. Data analysis uses a combined PK/PD population analysis or a hybrid, individual-PK/population-PD analysis. Assuming that the goal of the PK/PD studies is to estimate population PD, performance of designs is judged by comparing the precision of estimates of population mean PD parameters and of their interindividual variability. The simulations reveal that (i) PK data, even in small number (2 points per person from as few as 25-50% of persons) are very valuable for estimating population PD; (ii) designs involving more individuals, even if many are sparsely sampled, dominate designs calling for more complete study of fewer persons; (iii) the population analysis is generally superior to the hybrid analysis, especially when the PK model is misspecified (biexponential assumed to be monoexponential for analysis); (iv) varying sampling times and doses among subjects protects against the ill effects of model misspecification. In general, the results are quite encouraging about the usefulness of sparse data designs to estimate population dose response.
对药代动力学/药效学(PK/PD)研究中的模拟数据进行分析,这些数据在观察量和观察时间方面存在差异,以评估这些设计选择的价值。模拟模型假定药物处置为单指数或双指数模型,以及Emax型药效学。数据分析采用联合PK/PD群体分析或混合的个体PK/群体PD分析。假设PK/PD研究的目标是估计群体药效学,通过比较群体平均PD参数估计值及其个体间变异性的精度来判断设计的性能。模拟结果表明:(i)PK数据即使数量很少(每人仅2个点,仅来自25 - 50%的个体),对于估计群体药效学也非常有价值;(ii)涉及更多个体的设计,即使许多个体采样稀疏,也优于需要对较少个体进行更全面研究的设计;(iii)群体分析通常优于混合分析,尤其是当PK模型指定错误时(分析时将双指数模型假定为单指数模型);(iv)在受试者之间改变采样时间和剂量可防止模型指定错误的不良影响。总体而言,关于稀疏数据设计用于估计群体剂量反应的有用性,结果相当令人鼓舞。