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改良的预测静脉内和口服药物血液透析能力的公式。

Improved Formula for Predicting Hemodialyzability of Intravenous and Oral Drugs.

机构信息

Division of Clinical Pharmacology, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.

Department of Pharmacy, Kumamoto University Hospital, Kumamoto, Japan.

出版信息

Blood Purif. 2021;50(6):865-875. doi: 10.1159/000513152. Epub 2021 Mar 9.

Abstract

BACKGROUND

The rate of drug removal by hemodialysis needs to be considered when designing drug dosage regimens for patients on hemodialysis. We previously developed a simplified equation to predict the removal rates of intravenously administered drugs by hemodialysis. Here, we addressed shortcomings of this equation and developed a more accurate equation that can also predict the removal rates of orally administered drugs.

METHODS

A total of 70 drugs with known pharmacokinetic and physical parameters and drug removal rates that were measured during hemodialysis in clinical cases were randomly assigned at a 4:1 ratio to a training data group or a test data group. A prediction equation was developed by performing stepwise multiple regression analyses using the training data (i.e., the removal rate by hemodialysis) as the objective variable and pharmacokinetic parameters as the explanatory variables. The equation was validated using the test data.

RESULTS

Multiple regression analyses revealed that molecular weight (MW), protein binding rate, and fraction excreted unchanged in urine relative to the volume of distribution (Vd) were independently correlated with the drug clearance rate (adjusted coefficient of determination, 0.83; p = 2.2e-16). The following equation was obtained: drug removal rate by hemodialysis (%) = -17.32 × [log (MW)] - 0.39 × [protein binding rate (%)] + 0.06 × [fraction excreted unchanged in urine (%)/Vd (L/kg)] + 83.34. Validation of the equation using the test data showed a very high correlation between predicted and measured reduction rate (R = 0.93, p = 1.87e-6). Mean error was -3.34 (95% confidence interval: -10.03, 3.35), mean absolute error was 9.59, and root mean square error was 16.48.

CONCLUSION

The modified equation derived in this study using pharmacokinetic and physical parameters as variables precisely predicted the removal rates of both intravenous and oral drugs by hemodialysis.

摘要

背景

在为接受血液透析的患者设计药物剂量方案时,需要考虑血液透析对药物的清除率。我们之前开发了一个简化方程来预测静脉给予药物的血液透析清除率。在这里,我们解决了该方程的缺点,并开发了一个更准确的方程,该方程还可以预测口服药物的清除率。

方法

共有 70 种药物,这些药物具有已知的药代动力学和物理参数以及在临床病例中通过血液透析测量的药物清除率,以 4:1 的比例随机分配到训练数据组或测试数据组。通过使用训练数据(即血液透析清除率)作为目标变量,使用逐步多元回归分析来开发预测方程,使用药代动力学参数作为解释变量。使用测试数据验证方程。

结果

多元回归分析显示,分子量(MW)、蛋白结合率和与分布容积(Vd)相比尿液中未改变的排泄分数与药物清除率独立相关(调整后的确定系数,0.83;p = 2.2e-16)。得到以下方程:血液透析清除率(%)=-17.32×[log(MW)]-0.39×[蛋白结合率(%)]+0.06×[尿液中未改变的排泄分数(%)/Vd(L/kg)]+83.34。使用测试数据验证该方程表明,预测和测量的减少率之间具有非常高的相关性(R = 0.93,p = 1.87e-6)。平均误差为-3.34(95%置信区间:-10.03,3.35),平均绝对误差为 9.59,均方根误差为 16.48。

结论

本研究使用药代动力学和物理参数作为变量,通过修正方程精确预测了静脉和口服药物的血液透析清除率。

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