A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies.
The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confidence interval. In this way, the new proposed method demonstrates to be as useful as WinNonlin® software when it was applicable.
Department of Pharmacy and Pharmaceutical Technology, University of Valencia, Burjasot, Valencia, Spain.
Carmen
C
Navarro-Fontestad
Isabel
I
González-Álvarez
Carlos
C
Fernández-Teruel
Marival
M
Bermejo
Vicente Germán
VG
Casabó
D000284:Administration, Oral; D000818:Animals; D019540:Area Under Curve; D002939:Ciprofloxacin / Q000008:administration & dosage / Q000031:analogs & derivatives* / Q000493:pharmacokinetics; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D051381:Rats; D017208:Rats, Wistar; D012107:Research Design; D012984:Software
D002939:Ciprofloxacin; C047224:sarafloxacin