通过六种不同的计算肌酐清除率的方程预测血清万古霉素浓度。

Predictions of serum vancomycin concentrations by means of six different equations for calculation of creatinine clearance.

作者信息

Wu G, Furlanut M

机构信息

Institute of Clinical Pharmacology and Toxicology, University of Udine, Italy.

出版信息

Int J Clin Pharmacol Res. 1997;17(1):1-10.

PMID:9403347

Abstract

Serum vancomycin concentrations were predicted in 59 patients by means of the PKS programme using six different equations to calculate creatinine clearance. These equations are (i) Chiou & Hsu equation, (ii) Cockroft-Gault lean body-weight equation, (iii) Cockroft-Gault total body-weight equation, (iv) Jelliffe equation, (v) Jelliffe & Jelliffe equation, and (vi) Siersback-Neilsen equation. The predictions were made by using (i) the implemented population pharmacokinetic parameters (IPPP), and (ii) the Bayesian method (BM). The results show that (i) if IPPP can lead to under-predictions, and Chiou & Hsu equation is most suited for predictions, and (ii) if IPPP can lead to over-predictions, the Cockroft-Gault total body-weight equation is the most suited for predictions.

摘要

利用PKS程序，通过六个不同的方程计算肌酐清除率，对59例患者的血清万古霉素浓度进行了预测。这些方程分别是：（i）邱氏方程，（ii）考克洛夫特-高尔特瘦体重方程，（iii）考克洛夫特-高尔特总体重方程，（iv）杰利夫方程，（v）杰利夫-杰利夫方程，以及（vi）西尔斯贝克-尼尔森方程。预测采用（i）实施的群体药代动力学参数（IPPP）和（ii）贝叶斯方法（BM）。结果表明：（i）如果IPPP会导致预测值偏低，邱氏方程最适合预测；（ii）如果IPPP会导致预测值偏高，考克洛夫特-高尔特总体重方程最适合预测。