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Antimicrobial Agents and Chemotherapy, Apr 1997, 733-738, Vol 41, No. 4
JW Mouton, AA Vinks and NC Punt
We developed and applied pharmacokinetic-pharmacodynamic (PK-PD) models to
characterize in vitro bacterial rate of killing as a function of
ceftazidime concentrations over time. For PK-PD modeling, data obtained
during continuous and intermittent infusion of ceftazidime in Pseudomonas
aeruginosa killing experiments with an in vitro pharmacokinetic model were
used. The basic PK-PD model was a maximum- effect model which described the
number of viable bacteria (N) as a function of the growth rate (lambda) and
killing rate (epsilon) according to the equation dN/dt = [lambda - epsilon
x [Cgamma(EC50gamma + Cgamma)]] N, where gamma is the Hill factor, C is the
concentration of antibiotic, and EC50 is the concentration of antibiotic at
which 50% of the maximum effect is obtained. Next, four different models
with increasing complexity were analyzed by using the EDSIM program
(MediWare, Groningen, The Netherlands). These models incorporated either an
adaptation rate factor and a maximum number of bacteria (Nmax) factor or
combinations of the two parameters. In addition, a two- population model
was evaluated. Model discrimination was by Akaike's information criterion.
The experimental data were best described by the model which included an
Nmax term and a rate term for adaptation for a period up to 36 h. The
absolute values for maximal growth rate and killing rate in this model were
different from those in the original experiment, but net growth rates were
comparable. It is concluded that the derived models can describe bacterial
growth and killing in the presence of antibiotic concentrations mimicking
human pharmacokinetics. Application of these models will eventually provide
us with parameters which can be used for further dosage optimization.
Copyright © 1997 by the American Society for Microbiology. All rights reserved.
Pharmacokinetic-pharmacodynamic modeling of activity of ceftazidime during continuous and intermittent infusion
Department of Medical Microbiology & Infectious Diseases, Erasmus University Hospital Rotterdam, The Netherlands. Mouton@bacl.azr.nl
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