Okour Malek, Jacobson Pamala A, Israni Ajay, Brundage Richard C
Clinical Pharmacology Modeling and Simulation (CPMS), GlaxoSmithKline, Upper Providence, 1250 S. Collegeville Road, Collegeville, PA, 19426-0989, USA.
Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA.
Eur J Drug Metab Pharmacokinet. 2019 Oct;44(5):629-638. doi: 10.1007/s13318-019-00550-2.
Dichotomization of pharmacokinetic exposure measures in exposure-response relationship studies provides results that are interpretable in clinical care. Several methods exist in the literature on how to define the cut-off values needed for the dichotomization process. Commonly, the sample median is utilized to define the dichotomizing value; however, statistical methods based on the exposure metric and its association with the outcome are argued to result in a more proper definition of the optimal cut-point. The Youden index is a recommended statistical method to define the cut-off value. The current analysis objective is to compare the dichotomization results based on the Youden index versus median methods.
Utilizing mycophenolic acid (MPA) exposure data and its related acute rejection and leukopenia outcome variables, the current study compared the MPA exposure-response relationship outcomes when MPA exposure is dichotomized via the Youden index versus median methods. Univariate logistic models were utilized to quantify the relationships between MPA exposure, including total MPA, unbound MPA, and the acyl-glucuronide metabolite of MPA, and the probabilities of acute rejection and leukopenia.
The overall trend of the results of the logistic models demonstrated a general similarity in the inferred exposure-response associations when considering either the Youden index-based or the median-based dichotomization methods.
The results demonstrated in this analysis suggest that both the Youden index and the median methods provide similar conclusions when dichotomization of a continuous variable is considered. However, confirmation of these conclusions comes from future powered studies that include a larger number of subjects.
在暴露-反应关系研究中,对药代动力学暴露指标进行二分法可提供在临床护理中可解释的结果。文献中有几种方法可用于确定二分法过程所需的截断值。通常,使用样本中位数来定义二分法值;然而,基于暴露指标及其与结果的关联的统计方法被认为能更恰当地定义最佳切点。约登指数是一种推荐的用于定义截断值的统计方法。当前的分析目的是比较基于约登指数与中位数方法的二分法结果。
利用霉酚酸(MPA)暴露数据及其相关的急性排斥反应和白细胞减少症结局变量,本研究比较了通过约登指数法与中位数法对MPA暴露进行二分时的MPA暴露-反应关系结果。使用单变量逻辑回归模型来量化MPA暴露(包括总MPA、游离MPA和MPA的酰基葡萄糖醛酸代谢物)与急性排斥反应和白细胞减少症概率之间的关系。
逻辑回归模型结果的总体趋势表明,在考虑基于约登指数或基于中位数的二分法时,推断出的暴露-反应关联大致相似。
本分析结果表明,在考虑连续变量的二分法时,约登指数法和中位数法得出的结论相似。然而,这些结论需要未来纳入更多受试者的有足够效力的研究来证实。