NONPHARMACOKINETIC CLINICAL FACTORS AFFECTING AMINOGLYCOSIDE THERAPEUTIC PRECISION - A SIMULATION STUDY

被引:18
作者
JELLIFFE, RW
SCHUMITZKY, A
VANGUILDER, M
机构
[1] Laboratory of Applied Pharmacokinetics, University of California School of Medicine, Los Angeles, California, 90033, HMR 805
[2] Department of Mathematics, University of Southern California, Los Angeles, California
[3] Department of Mathematics, Cal-State University, Fullerton, California
来源
DRUG INVESTIGATION | 1992年 / 4卷 / 01期
关键词
D O I
10.1007/BF03258374
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
A Monte Carlo simulation study evaluated the effects of a simulated 'good' or 'poor' ward care setting, pharmacy, laboratory and phlebotomy service on the resulting precision of control of serum tobramycin concentrations in a representative (theoretical) patient receiving the drug. The ward care (precise dose administration and recording of times given) and the pharmacy (precise dosage preparation) played significant roles in achieving precise serum concentrations whereas laboratory (assay precision) and the phlebotomy service (precise labelling of blood specimen times) were considerably less important. However, use of a simulated 'smart' infusion pump contributed most to therapeutic precision. These results suggest that therapeutic precision can be increased, and costs reduced, by manufacturing total daily drug doses in reproducible concentrations in conveniently sized bags and tubin, minimising preparation of individual doses (saving labour costs), and administering each individual dose from the bag precisely, either with conventional accurately set infusion pumps or with 'smart' infusion apparatus.
引用
收藏
页码:20 / 29
页数:10
相关论文
共 21 条
[1]  
Beckmann P., A history of pi, pp. 163-165, (1974)
[2]  
Box G.E.P., Lucas H.L., Design of experiments in nonlinear situations, Biometrika, 46, pp. 77-90, (1959)
[3]  
Brooker G., Jelliffe R.W., Serum cardiac glycoside assay based upon displacement of <sup>3</sup>H-ouabain from Na-K ATPase, Circulation, 45, pp. 20-36, (1972)
[4]  
D'Argenio D.Z., Optimal sampling times for pharmacokinetic experiments, Journal of Pharmacokinetics and Biopharmaceutics, 9, pp. 739-756, (1981)
[5]  
Deshpande J., Upadhyay T., Lainiotis D., Adaptive control of linear stochastic systems, Automatica, 9, pp. 107-115, (1973)
[6]  
Drusano G., Forrest A., Plaisance K., Wade J., A prospective evaluation of optimal sampling theory in the determination of the steady-state pharmacokinetics of piperacillin in febrile neurotropenic cancer patients, Clinical Pharmacology and Therapeutics, 45, pp. 635-642, (1989)
[7]  
Drusano G., Forrest A., Snyder M., Reed M., Blumer J., An evaluation of optimal sampling strategy and adaptive study design, Clinical Pharmacology and Therapeutics, 44, pp. 232-288, (1988)
[8]  
Evans W.E., Clinical pharmacodynamics of anticancer drugs: a basis for extending the concept of dose-intensity, Blut, 56, pp. 241-248, (1988)
[9]  
Hurst A., Yoshinaga M., Mitani G., Foo K., Jelliffe R., Et al., Application of a Bayesian method to monitor and adjust vancomycin dosage regimens, Antimicrobial Agents and Chemotherapy, 34, pp. 1165-1171, (1990)
[10]  
Jazwinski A., Stochastic processes and filtering theory, (1970)