THE EFFECTS OF THE METHOD OF CALCULATION ON THE EVALUATION OF THE PHARMACOKINETIC PARAMETERS OF OXYTETRACYCLINE AFTER INTRAVENOUS ADMINISTRATION TO CALVES
Jo. Errecalde et al., THE EFFECTS OF THE METHOD OF CALCULATION ON THE EVALUATION OF THE PHARMACOKINETIC PARAMETERS OF OXYTETRACYCLINE AFTER INTRAVENOUS ADMINISTRATION TO CALVES, Veterinary research communications, 21(4), 1997, pp. 273-281
The aim of this study was to assess the differences in the values of t
he pharmacokinetic parameters attributable to the use of either linear
or nonlinear regression analysis and to find the effect of weighting
schemes on these differences. Six calves received 20 mg/kg oxytetracyc
line i.v. Blood samples were drawn during 72 h. The assay of the drug
was performed microbiologically. A bicompartmental pharmacokinetic mod
el was used, kinetic analysis being carried out by linear regression (
LR) and by weighted least-squares nonlinear regression (WLSNLR). Stati
stical analysis included a test for normality, the Kruskall-Wallis tes
t and ANOVA with log transformation. The A(0), alpha and B-0 did not s
how any statistically significant differences attributable to the math
ematical method used. On the other hand, the statistically significant
differences in the beta values found using the Kruskall-Wallis test a
nd ANOVA with log transformation could be attributed to the different
methods employed. ANOVA with log transformation determined statistical
ly significant differences between the parameters obtained by linear a
nalysis and those obtained by WLSNLR when the weighting (w) was 1. Whe
n weights were 1/x, 1/x(2) or 1/root x, no statistically significant d
ifferences were found. The optimal weighting scheme was w = 1/x(2) bec
ause of a more homogeneous scatter and random distribution of residual
s about the abcissa axis in a plot of weighted residuals in the ordina
te versus time in the abcissa. It was concluded that the use of these
different procedures can give major variations in the apparent value o
f beta, the most important pharmacokinetic parameter. The correct sele
ction of the weighting procedure is therefore fundamental in obtaining
the best estimate of this pharmacokinetic parameter in WLSNLR.