Zellner D, Zellner G E, Keller F
Clinic for Thoracic and Cardiovascular Surgery, University Hospital, Berne, Switzerland.
J Clin Pharm Ther. 1998 Apr;23(2):107-13.
Frequently, the estimation of vancomycin on the basis of renal function is too rough because the unknown parameters of a regression function between the vancomycin clearance (CL) and the creatinine clearance (ClCR) are based on small sample sizes.
In this study we aim to compare linear and nonlinear regression, spline interpolation and nonlinear kernel estimation for defining the relationship between measured Cl and ClCR.
We used data from published papers and appropriate numerical methods. The variability and accuracy of the estimated regression functions were determined from bootstrap methods and kernel density estimators. Tests to prove the usually assumed linearity of the regression were carried out and the influence of patient age and weight on Cl was determined.
A linear relationship reported by several authors earlier has been determined as ClVAN = 0.763 ClCR + 2.715, (ml/min) (Cl = 0.011 ClCR + 0.055, (ml/min/ kg)).
Nonparametric regression analysis shows that a nonlinear approximately parabolic function could fit the relationship between Cl and ClCR in the present case somewhat better than a linear function.
通常，基于肾功能对万古霉素的估算过于粗略，因为万古霉素清除率（CL）与肌酐清除率（ClCR）之间回归函数的未知参数是基于小样本量得出的。
在本研究中，我们旨在比较线性回归和非线性回归、样条插值法以及非线性核估计法，以确定实测CL与ClCR之间的关系。
我们使用了已发表论文中的数据以及适当的数值方法。通过自助法和核密度估计器确定估计回归函数的变异性和准确性。进行了检验以证明通常假定的回归线性，并确定患者年龄和体重对CL的影响。
几位作者之前报道的线性关系已确定为ClVAN = 0.763 ClCR + 2.715，（毫升/分钟）（Cl = 0.011 ClCR + 0.055，（毫升/分钟/千克））。
非参数回归分析表明，在当前情况下，非线性近似抛物线函数可能比线性函数能更好地拟合CL与ClCR之间的关系。
