Multiple-Dose Non-Linear Regression Analysis ProgramAminoglycoside Dose Prediction
作者:
Jeffrey R. Koup,
Thomas Killen,
Larry A. Bauer,
期刊:
Clinical Pharmacokinetics
(ADIS Available online 1983)
卷期:
Volume 8,
issue 5
页码: 456-462
ISSN:0312-5963
年代: 1983
出版商: ADIS
数据来源: ADIS
摘要:
The ability of a new multiple-dose non-linear regression analysis program to predict steady-state aminoglycoside peak and trough serum concentrations was evaluated. 30 patients receiving either amikacin (7), gentamicin (10) or tobramycin (13) were studied. A standard method of prediction which requires the collection of 3 or 4 serum samples during a dosing interval and a predictive method which relies upon population-based estimates of pharmacokinetic parameters were compared with the new approach which requires the collection of 2 serum samples. There were no significant differences between the methods which utilised serum concentration data with regard to predictive precision (mean prediction error of about 10%). These methods were more precise than the population-based method (p < 0.01, mean prediction error 29.1%). None of the methods produced biased estimates.These results indicate that when the regression program is employed, valid estimates of pharmacokinetic parameters and prediction of steady-state serum concentrations can be obtained with fewer serum samples than have been recommended.
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