PARAMETERS OF BACTERIAL KILLING AND REGROWTH KINETICS AND ANTIMICROBIAL EFFECT EXAMINED IN TERMS OF AREA UNDER THE CONCENTRATION-TIME CURVERELATIONSHIPS - ACTION OF CIPROFLOXACIN AGAINST ESCHERICHIA-COLI IN AN IN-VITRO DYNAMIC-MODEL
Aa. Firsov et al., PARAMETERS OF BACTERIAL KILLING AND REGROWTH KINETICS AND ANTIMICROBIAL EFFECT EXAMINED IN TERMS OF AREA UNDER THE CONCENTRATION-TIME CURVERELATIONSHIPS - ACTION OF CIPROFLOXACIN AGAINST ESCHERICHIA-COLI IN AN IN-VITRO DYNAMIC-MODEL, Antimicrobial agents and chemotherapy, 41(6), 1997, pp. 1281-1287
Although many parameters have been described to quantitate the killing
and regrowth of bacteria, substantial shortcomings are inherent in mo
st of them, such as low sensitivity to pharmacokinetic determinants of
the antimicrobial effect, an inability to predict a total effect, ins
ufficient robustness, and uncertain interrelations between the paramet
ers that prevent an ultimate determination of the effect. To examine d
ifferent parameters, the kinetics of killing and regrowth of Escherich
ia coli (MIC, 0.013 mu g/ml) were studied in vitro by simulating a ser
ies of ciprofloxacin monoexponential pharmacokinetic profiles. Initial
ciprofloxacin concentrations varied from 0.02 to 19.2 mu g/ml, wherea
s the half-life of 4 h was the same in all experiments. The following
parameters were calculated and estimated: the time to reduce the initi
al inoculum (N-0) 10-, 100-, and 1,000-fold (T-90%, T-99%, and T-99.9%
, respectively), the rate constant of bacterial elimination (k(elb)),
the nadir level (N-min) in the viable count (N)-versus-time (t) curve,
the time to reach N-min (t(min)), the numbers of bacteria that surviv
ed (N-tau) by the end of the observation period (tau), the area under
the bacterial killing and regrowth curve (log N-A-t curve) from the ze
ro point (time zero) to tau (AUBC), the area above this curve (AAC), t
he area between the control growth curve (log N-C-t curve) and the bac
terial killing and regrowth curve (log N-A-t curve) from the zero poin
t 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 b
y I-E or T-E increased systematically when the AUG or initial concentr
ation of ciprofloxacin rose. Other parameters, especially T-90%, T-99%
, T-99.9%, t(min), and log N-0 - log N-min = Delta log N-min, related
to the AUC less regularly and were poorly sensitive to the AUC. T-E pr
oved to be the best predictor and t(min) proved to be the worst predic
tor of the total antimicrobial effect reflected by I-E. Distinct feedb
ack relationships between the effect determination and the experimenta
l design were demonstrated. It was shown that unjustified shortening o
f the observation period, i.e., cutting off the log N-A-t curves, may
lead to the degeneration of the AUG-response relationships, as express
ed by log N-0 - log N-tau = Delta log N-tau, AUBC, AAC, or ABBC, to a
point where it gives rise to the false idea of an AUC- or concentratio
n-independent effect. Thus, use of I-E and T-E provides the most unbia
sed, robust, and comprehensive means of determining the antimicrobial
effect.