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Antimicrobial Agents and Chemotherapy, Jun 1997, 1281-1287, Vol 41, No. 6
AA Firsov, SN Vostrov, AA Shevchenko and G Cornaglia
Although many parameters have been described to quantitate the killing and
regrowth of bacteria, substantial shortcomings are inherent in most of
them, such as low sensitivity to pharmacokinetic determinants of the
antimicrobial effect, an inability to predict a total effect, insufficient
robustness, and uncertain interrelations between the parameters that
prevent an ultimate determination of the effect. To examine different
parameters, the kinetics of killing and regrowth of Escherichia coli (MIC,
0.013 microg/ml) were studied in vitro by simulating a series of
ciprofloxacin monoexponential pharmacokinetic profiles. Initial
ciprofloxacin concentrations varied from 0.02 to 19.2 microg/ml, whereas
the half-life of 4 h was the same in all experiments. The following
parameters were calculated and estimated: the time to reduce the initial
inoculum (N0) 10-, 100-, and 1,000-fold (T90%, T99%, and T99.9%,
respectively), the rate constant of bacterial elimination (k(elb)), the
nadir level (Nmin) in the viable count (N)- versus-time (t) curve, the time
to reach Nmin (t(min)), the numbers of bacteria that survived (Ntau) by the
end of the observation period (tau), the area under the bacterial killing
and regrowth curve (log N(A)-t curve) from the zero point (time zero) to
tau (AUBC), the area above this curve (AAC), the area between the control
growth curve (log N(C)-t curve) and the bacterial killing and regrowth
curve (log N(A)-t curve) from the zero point to tau (ABBC) or to the time
point when log N(A) reaches the maximal values observed in the log N(C)-t
curve (I(E); intensity of the effect), and the time shift between the
control growth and regrowth curves (T(E); duration of the effect). Being
highly sensitive to the AUC, I(E), and T(E) showed the most regular AUC
relationships: the effect expressed by I(E) or T(E) increased
systematically when the AUC or initial concentration of ciprofloxacin rose.
Other parameters, especially T90%, T99%, T99.9%, t(min), and log N0 - log
Nmin = delta log Nmin, related to the AUC less regularly and were poorly
sensitive to the AUC. T(E) proved to be the best predictor and t(min)
proved to be the worst predictor of the total antimicrobial effect
reflected by I(E). Distinct feedback relationships between the effect
determination and the experimental design were demonstrated. It was shown
that unjustified shortening of the observation period, i.e., cutting off
the log N(A)-t curves, may lead to the degeneration of the AUC-response
relationships, as expressed by log N0 - log Ntau = delta log Ntau, AUBC,
AAC, or ABBC, to a point where it gives rise to the false idea of an AUC-
or concentration-independent effect. Thus, use of I(E) and T(E) provides
the most unbiased, robust, and comprehensive means of determining the
antimicrobial effect.
Copyright © 1997 by the American Society for Microbiology. All rights reserved.
Parameters of bacterial killing and regrowth kinetics and antimicrobial effect examined in terms of area under the concentration-time curve relationships: action of ciprofloxacin against Escherichia coli in an in vitro dynamic model
Department of Pharmacokinetics, Centre of Science & Technology, LekBioTech, Moscow, Russia. Biotec@glas.apc.org
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