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一种贝叶斯预测技术与一种估计苯妥英剂量需求新方法的比较。

Comparison of a Bayesian forecasting technique with a new method for estimating phenytoin dose requirements.

作者信息

Bryson S M, Al-Lanqawi Y, Kelman A W, Whiting B

机构信息

Department of Materia Medica, University of Glasgow, Scotland.

出版信息

Ther Drug Monit. 1988;10(1):80-4.

PMID:3376186
Abstract

A simple, novel approach to phenytoin dose adjustment recently proposed by Wagner has been compared with an established Bayesian method. A data set comprising a minimum of two steady-state concentration/dose pairs from each of 43 adult epileptic patients was used. Prediction error analysis demonstrated that the two methods were equally precise but that the Wagner method tended to underpredict concentrations. The slope of the semilogarithmic relationship between concentration and dose was found to be 54% higher than originally reported by Wagner. It may therefore be necessary to adjust Wagner's equation for different patient populations before this method is used in routine clinical practice.

摘要

瓦格纳最近提出的一种简单、新颖的苯妥英剂量调整方法已与一种既定的贝叶斯方法进行了比较。使用了一个数据集,该数据集包含43名成年癫痫患者每人至少两个稳态浓度/剂量对。预测误差分析表明,这两种方法同样精确,但瓦格纳方法往往会低估浓度。发现浓度与剂量之间的半对数关系斜率比瓦格纳最初报告的高54%。因此,在将该方法用于常规临床实践之前,可能有必要针对不同患者群体调整瓦格纳方程。

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