Multiple-dose non-linear regression analysis program. Aminoglycoside dose prediction.

Abstract:

: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 less than 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.

journal_name

Clin Pharmacokinet

authors

Koup JR,Killen T,Bauer LA

doi

10.2165/00003088-198308050-00006

subject

Has Abstract

pub_date

1983-09-01 00:00:00

pages

456-62

issue

5

eissn

0312-5963

issn

1179-1926

journal_volume

8

pub_type

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