Urata Motoki, Narita Yuki, Fukunaga Masaki, Kadowaki Daisuke, Hirata Sumio
Center for Clinical Pharmaceutical Sciences, Division of Clinical Pharmacology, Faculty of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.
Laboratory of Clinical Pharmaceutics, Faculty of Pharmaceutical Sciences, Sojo University, Kumamoto, Japan.
Ther Apher Dial. 2018 Oct;22(5):485-493. doi: 10.1111/1744-9987.12675. Epub 2018 Jul 10.
The present study sought to derive a simple formula for predicting the drug removal rates during hemodialysis. We examined the relationship between drug removal rates during hemodialysis and the molecular weights or pharmacokinetic parameters of injectable drugs (N = 90) obtained from pharmaceutical interview forms in Japan. Stepwise multiple regression analysis with the removal rate by hemodialysis as the objective variable adjusted for molecular weight or pharmacokinetic parameters as explanatory variables, showed that the logarithm of molecular weight (B = -18.87), the protein binding rate (B = -0.40), and the fraction of the unchanged drug excreted into the urine/volume of distribution (B = 0.05) were significantly and independently associated with drug removal rate by hemodialysis (α = 90.78, adjusted R = 0.64, P = 2.2e ). Our data demonstrated that molecular weight, protein binding rate, and volume of distribution were important factors affecting drug removal during hemodialysis, and that our simple regression equation could be used to predict the drug removal rate during hemodialysis.
本研究旨在推导一个预测血液透析期间药物清除率的简单公式。我们研究了日本从药学访谈表中获取的可注射药物（N = 90）的血液透析期间药物清除率与分子量或药代动力学参数之间的关系。以血液透析清除率为目标变量，以分子量或药代动力学参数为解释变量进行逐步多元回归分析，结果显示分子量的对数（B = -18.87）、蛋白结合率（B = -0.40）以及原形药物经尿液排泄的分数/分布容积（B = 0.05）与血液透析药物清除率显著且独立相关（α = 90.78，调整后R = 0.64，P = 2.2e）。我们的数据表明，分子量、蛋白结合率和分布容积是影响血液透析期间药物清除的重要因素，且我们的简单回归方程可用于预测血液透析期间的药物清除率。
