title: 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.
mesh_terms: D000328:Adult; D000368:Aged; D000617:Aminoglycosides / Q000008:administration & dosage / Q000378:metabolism; D000900:Anti-Bacterial Agents / Q000008:administration & dosage / Q000378:metabolism*; D006801:Humans; D008657:Metabolic Clearance Rate; D008875:Middle Aged; D008954:Models, Biological; D012044:Regression Analysis
chemical_list: D000617:Aminoglycosides; D000900:Anti-Bacterial Agents