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利用有限的实验室获得性治疗药物监测数据确定个体化药物需求。

Use of limited laboratory-acquired therapeutic drug monitoring data in determining individualized drug requirements.

作者信息

Bachmann K A, Forney R B, Gronau G

出版信息

Ann Clin Lab Sci. 1987 Jan-Feb;17(1):52-9.

PMID:3579208
Abstract

Routinely acquired therapeutic drug monitoring (TDM) data from 220 patients were used to estimate patient-specific pharmacokinetic parameters for the following drugs: aminoglycoside antibiotics (gentamicin and tobramycin), digoxin, theophylline, carbamazepine, procainamide, phenobarbital, and quinidine. A microcomputer based set of algorithms operating on two relatively unconstrained TDM values estimated pharmacokinetic parameters with which future TDM levels were forecast. Mean prediction errors (mpe) and root mean squared errors (rmse) were used as measures of predictive performance. Values of mpe deviated from zero by less than one microgram per l for digoxin and by less than one microgram per l for all other drugs. Values of rmse were also small when viewed in the context of the respective therapeutic plasma concentration ranges.

摘要

从220名患者常规获取的治疗药物监测(TDM)数据用于估算以下药物的患者特异性药代动力学参数:氨基糖苷类抗生素(庆大霉素和妥布霉素)、地高辛、茶碱、卡马西平、普鲁卡因胺、苯巴比妥和奎尼丁。一套基于微型计算机的算法,根据两个相对不受限制的TDM值来估算药代动力学参数,并据此预测未来的TDM水平。平均预测误差(mpe)和均方根误差(rmse)用作预测性能的度量指标。地高辛的mpe值偏离零小于每升1微克,其他所有药物的mpe值偏离零小于每升1微克。从各自的治疗血浆浓度范围来看,rmse值也很小。

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