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Antimicrobial Agents and Chemotherapy, October 2001, p. 2916-2921, Vol. 45, No. 10
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.10.2916-2921.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Pharmacodynamics of Gemifloxacin against Streptococcus
pneumoniae in an In Vitro Pharmacokinetic Model of
Infection
Alasdair P.
MacGowan,*
Chris A.
Rogers,
H. Alan
Holt,
Mandy
Wootton, and
Karen E.
Bowker
Bristol Centre for Antimicrobial Research & Evaluation, North Bristol NHS Trust and University of Bristol,
Department of Medical Microbiology, Southmead Hospital,
Westbury-on-Trym, Bristol BS10 5NB, United Kingdom
Received 11 September 2000/Returned for modification 10 February
2001/Accepted 12 July 2001
 |
ABSTRACT |
The pharmacodynamics of gemifloxacin against Streptococcus
pneumoniae were investigated in a dilutional pharmacodynamic
model of infection. Dose fractionation was used to simulate
concentrations of gemifloxacin in human serum associated with 640 mg
every 48 h (one dose), 320 mg every 24 h (two doses), and 160 mg every 12 h (four doses). Five strains of S. pneumoniae for which MICs were 0.016, 0.06, 0.1, 0.16, and 0.24 mg/liter were used to assess the antibacterial effect of gemifloxacin.
An inoculum of 107 to 108 CFU/ml was used, and
each experiment was performed at least in triplicate. The
pharmacodynamic parameters (area under the concentration-time curve
[AUC]/MIC, maximum concentration of drug in serum
[Cmax]/MIC, and the time that the serum drug
concentration remains higher than the MIC [T > MIC]) were related to antibacterial effect as measured by the area
under the bacterial-kill curve from 0 to 48 h
(AUBKC48) using an inhibitory sigmoid
Emax model. Weighted least-squares
regression was used to predict the effect of the pharmacodynamic
parameters on AUBKC48, and Cox proportional-hazards regression was used to predict the effect of the three pharmacodynamic parameters on the time needed to kill 99.9% of the starting inoculum (T99.9). There was a clear relationship between strain
susceptibility and clearance from the model. The simulations (160 mg
every 12 h) were associated with slower initial clearance than
were the other simulations; in contrast, bacterial regrowth occurred
with the 640-mg simulation when MICs were
0.1 mg/liter. The
percentage coefficient of variance was 19% for AUBKC48,
and the inhibitory sigmoid Emax model best fit
the relationship between AUBKC48 and AUC/MIC.
Cmax/MIC and T > MIC fit less
well. The maximum response occurred at an AUC/MIC of >300 to 400. In
weighted least-squares regression analysis, there was no evidence that
Cmax/MIC was predictive of AUBKC48,
but both AUC/MIC and T > MIC were. A repeat analysis using only data for which the T > MIC was >75% and
for which hence regrowth was minimized indicated that AUC/MIC alone was
predictive of AUBKC48. Initial univariate analysis
indicated that all three pharmacodynamic parameters were predictive of
T99.9, but in the multivariate model only
Cmax/MIC reached significance. These data indicate that gemifloxacin is an effective antipneumococcal agent and
that AUC/MIC is the best predictor of antibacterial effect as measured
by AUBKC48. However, Cmax/MIC is
the best predictor of speed of kill, as measured by T99.9.
T > MIC also has a role in determining
AUBKC48, especially when the dose spacing is considerable. Once-daily dosing seems most suitable for gemifloxacin.
 |
INTRODUCTION |
The study of antibacterial
pharmacodynamics and the development of the fluoroquinolone drug class
have paralleled one another over the last 10 to 20 years. As a result
there is a significant body of data on fluoroquinolone pharmacodynamics
encompassing an in vitro model and animal and human studies. Three
pharmacodynamic parameters are commonly investigated in terms of
prediction of antimicrobial effect: the ratio of area under the
concentration-time curve to MIC (AUC/MIC), the ratio of maximum
concentration of drug in serum to MIC
(Cmax/MIC), and the time that the serum drug concentration remains higher than the MIC (T > MIC).
The majority of data for fluoroquinolones from in vitro models
(3, 16, 17), animals (1, 7; Y. Watanabe, S. Ebert, and W. Craig, Program Abstr. 32nd Intersci. Conf. Antimicrob.
Agents Chemother., abstr. 42, 1992) and humans (9, 10, 18)
indicate that AUC/MIC and/or Cmax/MIC determines
antibacterial effect. Some in vitro model data indicate that when the
intensity of effect is used as the measure of antibacterial effect, the
fluoroquinolone half-life in serum and, hence, T > MIC
have a significant effect on efficacy (8; A. Firsov and S. Zinner, 8th Int. Symp. New Quinolones, p. 7, 1998). Recently it
has been proposed that AUC/MIC or Cmax/MIC is
not predictive of fluoroquinolone antibacterial effect in
gram-positive bacteria, unlike in gram-negatives (D. H. Wright, L. B. Horde, M. Peterson, A. D. Hoang, and J. C. Rotschafer, Abstr. 98th Gen. Meet. Am. Soc. Microbiol., abstr. A-86,
p. 53, 1998), and that if AUC/MIC is the dominant pharmacodynamic
parameter its magnitude may be less for Streptococcus
pneumoniae than for aerobic gram-negative rods
(11-13).
Gemifloxacin, previously SB-265805, is a developmental fluoroquinolone
notable for its marked in vitro potency against gram-positive pathogens
such as S. pneumoniae: it has a MIC at which 90% of the
isolates tested are inhibited of 0.03 to 0.06 mg/liter (L. M. Kelly, M. R. Jacobs, and P. C. Appelbaum, Abstr. 38th
Intersci. Conf. Antimicrob. Agents Chemother., abstr. F-87,
1998; M.-Y. Kim, K.-S. Paek, and Y. S. Choo, Abstr. 38th
Intersci. Conf. Antimicrob. Agents Chemother., abstr. F-93, 1998).
Human pharmacokinetic studies of a 320-mg oral dose in young,
healthy volunteers indicate a Cmax after
1 h, an AUC of 9.1 mg · h/liter, and a half-life of 7 to 8 h (A. Allen, E. Bygate, and M. Teillol-Foo, 21st
Int. Congr. Chemother., abstr. P-440, p. 137, 1999). Thus far, there
have been few published studies on gemifloxacin's pharmacodynamic
properties, but it is thought to be typical of the fluoroquinolone
class in exhibiting concentration-dependent killing and persistent
antibacterial effects against S. pneumoniae
(6).
In this study we used a dilutional in vitro pharmacodynamic model, five
strains of S. pneumoniae for which gemifloxacin MICs were
different, and a dose fractionation design to establish the pharmacodynamic parameters best related to antibacterial effect. Subsequently we defined the magnitude of the pharmacodynamic parameters required to produce the maximal effect.
(This work was presented in part at the 39th Interscience Conference on
Antimicrobial Agents and Chemotherapy, San Francisco, Calif., September 1999).
 |
MATERIALS AND METHODS |
Models.
A New Brunswick Bioflo 1000 (Hatfield,
Hertfordshire, United Kingdom) in vitro model was used to
simulate the concentrations in serum associated with the oral
administration of 320 mg of gemifloxacin every 24 h, 640 mg (one
dose) every 48 h, and 160 mg every 12 h, all for 48 h.
The apparatus consists of a single central culture chamber which is
connected to a dosing chamber, which in turn is connected to a
reservoir containing broth and, secondly, to a vessel collecting
outflow from the chamber. The dosing chamber and central culture
chamber were diluted with brain heart infusion broth with a peristaltic
pump (Ismatec; Bennett & Co., Weston-super-Mare, United Kingdom) at a
flow rate of 35 ml/h. The temperature was maintained at 37°C, and the
broth in the dosing and central chambers was agitated by a magnetic
stirrer at 90 g.
Media.
A 75% brain heart infusion broth (Oxoid,
Basingstoke, United Kingdom) was used for all experiments. One percent
magnesium chloride (BDH; Poole, Dorset, United Kingdom) was
incorporated into nutrient agar plates (Merck, Dorset, United Kingdom)
containing 5% whole horse blood (TCS Microbiology, Buckingham, United
Kingdom) to neutralize the gemifloxacin before viable counts were determined.
Strains.
S. pneumoniae SMH 18964, SMH 18330, SMH
18327, SMH 18907, and SMH 18329 were used. Strains 18330, 18327, and
18329 were provided by G. Woodnutt, SmithKline Beecham Pharmaceuticals.
Antibiotic.
Gemifloxacin (SB-265805, LB 20304a) was obtained
from SmithKline Beecham Pharmaceuticals, Philadelphia, Pa. Stock
solutions were prepared according to British Society of Antimicrobial
Chemotherapy Guidelines (4) and were stored at
70°C.
MICs and MBCs.
MICs were determined by the British Society
of Antimicrobial Chemotherapy-defined standard broth dilution method
(4), with the exception that gemifloxacin concentrations
decreased in 0.02- or 0.2-mg/liter steps that did not double
dilutions. Minimum bactericidal concentrations (MBCs) were
determined by a 99.9% reduction in the initial viable count after
24 h.
Pharmacokinetic and bacterial-killing curves.
The in vitro
activities of various gemifloxacin concentrations against the five
strains described were tested in the model described above. The target
peak (Cmax) serum gemifloxacin concentration was
1.1 mg/liter at 1.5 h, and the AUC from 0 to 24 h
(AUC0-24) was 8.7 mg · h/liter for the 320-mg dose.
Concentrations were simulated to conform closely to the known time
profile for concentrations in serum. The 640-mg and 160-mg dose
simulations were extrapolated from this. For the 640-mg dose, the
Cmax was 2.1 mg/liter and the
AUC0-48 was 17.3 mg · h/liter, while for the 160-mg dose, the Cmax was 0.6 mg/liter and the
AUC0-12 was 4.8 mg · h/liter. The half-life was
7 h in all simulations. For all experiments, 100 µl of an
overnight broth suspension of the test organism was inoculated into the
central culture chamber (360-ml volume) via an entry port (initial
inoculum, about 106 CFU/ml) and the model was run for
18 h to allow organism growth to reach equilibrium at a density of
about 108 CFU/ml. Gemifloxacin (328 µl) was added to the
dosing chamber. Samples were taken from the central chamber throughout
the 48-h period, that is, at 0, 1, 2, 3, 4, 5, 6, 7, 10, 12, 22, 24,
25, 26, 27, 28, 29, 30, 31, 34, 36, 46, and 48 h for assessment of viable bacteria. The bacteria were quantified without dilution and
after a 1/1,000 dilution in saline using a Spiral Plater (Don Whitley
Spiral Systems, Shipley, United Kingdom). The minimum detection level
was 2 × 102 CFU/ml. In addition aliquots were taken
at the same time intervals and were stored at
70°C for measurement
of gemifloxacin concentrations. Samples were assayed by bioassay with
Escherichia coli NCTC 10418 as the indicator organism
(5). All standards and samples were prepared and diluted
as necessary in the same concentration of brain heart infusion broth
used in the model. The limit of detection was 0.03 mg/liter with a
percent coefficient of variation (% CV) of 8.3%. All pharmacokinetic
simulations and killing-curve determinations were performed in triplicate.
Pharmacodynamics, measurement of antibacterial effect, and
statistical analysis.
Antibacterial effect was assessed by
calculating the log change in viable count from time zero at 12 (
12), 24 (
24), 36 (
36), and 48 h (
48). The maximum
reduction in viable count was also calculated (
max). In addition,
the area under the bacterial-kill curve (AUBKC, in log CFU · h/ml) was calculated by the log linear trapezoidal rule for the periods
of 0 to 24 h (AUBKC24) and 0 to 48 h
(AUBKC48) after standardization of the inoculum. The time taken for the inoculum to fall to 99.9% of its time zero value (T99.9) was also determined. The variability in measurements
of antibacterial effect was assessed by calculating the % CV for each
simulation and then using the following equation: median
% CV = (standard deviation/mean) × 100. For pharmacodynamic analysis the
AUC/MIC, Cmax/MIC, and T > MIC
were calculated for the 48-h observation period.
The AUBKC48 was compared to AUC/MIC,
Cmax/MIC, and T > MIC using an
inhibitory sigmoidal Emax model using Win
Nonlin Software (Scientific Consulting, Cary, N.C.). The
correlation between the pharmacodynamic variables was assessed using
the Spearman rank correlation coefficient. Subsequently, weighted
least-squares regression analysis was used to examine the combined
effects of AUC/MIC, Cmax/MIC, and
T > MIC on AUBKC48. The weights were
proportional to the number of replicate experiments and the variability
between replicates. (Robust standard errors were calculated with
adjustment for clustering of replicate experience.) Models were
compared using t statistics and the
r2 model. Cox proportional-hazards
regression was used to assess whether AUC/MIC,
Cmax/MIC, or T > MIC was
predictive of T99.9. Changes in
2-log likelihood were used
to compare different models.
 |
RESULTS |
MICs and MBCs.
The gemifloxacin MICs and MBCs for each strain
were as follows: strain 18964, 0.016 and 0.04 mg/liter; strain 18330, 0.06 and 0.12 mg/liter; strain 18327, 0.10 and 0.14 mg/liter; strain 18907, 0.16 and >0.30 mg/liter; and strain 18329, 0.24 and 0.46 mg/liter.
The ciprofloxacin MICs for each strain were as follows: strain 18964, 1.0 mg/liter; strain 18330, 4 mg/liter; strain 18327, 16 mg/liter;
strain 18907, >32 mg/liter; and strain 18329, >32 mg/liter.
Pharmacokinetic curves.
There was good agreement
between target and actual gemifloxacin concentrations in the
model (data not shown). The target pharmacodynamic parameter values
associated with each simulation are shown in Table
1.
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TABLE 1.
Pharmacodynamic parameters associated with S. pneumoniae strain susceptibilities and the pharmacokinetics
modeled
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|
Bacterial-killing curves.
The killing curves of the S. pneumoniae strains after exposure to gemifloxacin are shown in
Fig. 1. There is a clear relationship between strain susceptibility and clearance from the model. Strain 18964 (MIC, 0.016 mg/liter) was cleared from the model within 25 h
with all simulations. For strain 18330 (MIC, 0.06 mg/liter), clearance
was only achieved for the simulation of 320 mg every 24 h; growing
back occurred with the dose of 640 mg every 48 h with this strain.
Strains 18907 (MIC, 0.16 mg/liter) and 18329 (MIC, 0.24 mg/liter) were
cleared less well than those for which the MIC was
0.06 mg/liter. The
simulation of 160 mg every 12 h seemed to be associated with slower
clearance in the first 24 h than the other simulations for strains
18964, 18330, 18327, and 18907.



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FIG. 1.
Bactericidal effect of gemifloxacin at simulated
concentrations in serum of 640 mg every 48 h (one dose), 320 mg every
24 h (two doses), or 160 mg every 12 h (four doses) on
S. pneumoniae strain 18964 (MIC, 0.016 mg/liter) (a); strain
18330 (MIC, 0.06 mg/liter) (b); strain 18327 (MIC, 0.10 mg/liter) (c);
strain 18907 (MIC, 0.16 mg/liter) (d); and strain 18929 (MIC, 0.24 mg/liter) (e).
|
|
Marked bacterial regrowth occurred with the 640-mg simulation with
strains 18327, 18907, and 18329 (MICs,
0.1 mg/liter), but some
regrowth was seen with other simulations.
The antibacterial effect was described by the following measurements:
12,
24,
36,
48,
max, AUBKC24,
AUBKC48, and T99.9 (Table
2). AUBKC24 and
AUBKC48 decreased as the MIC decreased, as did
T99.9. There was a trend for the simulation of 320 mg every 24 h to have the lowest AUBKC48 for the strains for
which the MIC was
0.1 mg/liter.
Pharmacodynamics of antibacterial effect.
The variability of
each measurement of antibacterial effect was tested by calculating the
% CV. The % CV could be calculated for 9 of the 15 simulations for
max and
48 and was 17 and 183%, respectively. The % CV could
not be calculated for all simulations for
max and
48, as two
measurements of antibacterial effect gauged by bacterial counts
were below the minimum level of detection. The % CVs for
T99.9 and AUBKC48 were 42 and 19%. Univariate
analysis of the relationship between AUC/MIC,
Cmax/MIC, or T > MIC and AUBKC48 and T99.9 was performed (data not
shown). This indicated that AUBKC48 and T99.9
decreased with increasing AUC/MIC, Cmax/MIC, and
T > MIC. There is a strong correlation between
the pharmacodynamic parameters by Spearman's rank
correlation coefficient (95% confidence intervals): for AUC/MIC
versus Cmax/MIC, r = 0.77
(0.42 to 0.92), and for AUC/MIC versus T > MIC,
r = 0.87 (0.6 to 0.96). Cmax/MIC was less correlated to T > MIC: r = 0.42 (
0.14 to 0.77).
Untransformed AUBKC48 was related to AUC/MIC,
Cmax/MIC, and T > MIC using an
inhibitory Emax model. The relationship
between AUC/MIC and AUBKC48 (Fig.
2) could be adequately described in this
model, as judged by Akaike information criteria and plots of the
residuals against fitted values. The model fit was worse for
T > MIC and Cmax/MIC.

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FIG. 2.
Gemifloxacin activity against S. pneumoniae
strains for which MICs are different. The relationship between
AUBKC48 and AUC/MIC is shown. , observed data points;
, predicted pattern.
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|
Cox's proportional-hazards regression was used to examine the ability
of the three pharmacodynamic parameters to predict the measurements of
antibacterial effect (T99.9). Experiments where T99.9 had not been reached by 48 h were censored at
that point. Each parameter was grouped into four categories: group 1, AUC/MIC < 100, Cmax/MIC < 5, and
T > MIC < 50; group 2, AUC/MIC = 100 to
199, Cmax/MIC = 5 to 9.9, and
T > MIC = 51 to 79; group 3, AUC/MIC = 200 to 999, Cmax/MIC = 10 to 29.9, and
T > MIC = 80 to 99; and group 4, AUC/MIC > 999, Cmax/MIC > 30, and T > MIC > 99. For AUC/MIC and T > MIC, the
ln(relative risk) increased linearly across the four categories, but
for Cmax/MIC, there was some evidence to suggest
that change was not linear (P = 0.06). Thus, AUC/MIC
and T > MIC were fitted as ordered in categories, and
Cmax/MIC was modeled using separate categories.
Univariate analysis suggested that all three parameters were predictive
of T99.9 (P < 0.05), but when considered
together in a multivariate model, both AUC/MIC and T > MIC failed to reach significance (P = 0.27). The
relative risk for each of the four Cmax/MIC
categories is shown in Table 3. The risk
for systems with a Cmax/MIC of >5 was
significantly greater than for those with a
Cmax/MIC of <5, but the relative risk did not
differ significantly between groups with a
Cmax/MIC of >5.
AUBKC48 was used as the second measurement of antibacterial
effect and was analyzed using weighted least-squares regression.
There was no evidence to suggest that Cmax/MIC
was predictive of AUBKC48 (P = 0.65), but
both T > MIC and AUC/MIC were significant predictors,
as was (AUC/MIC)2. The estimated regression model is shown
in Table 4. The estimated regression
coefficients suggest that as AUC/MIC and T > MIC
increase, AUBKC48 decreases.
As T > MIC may be related to regrowth, as in the
simulations of 640 mg every 48 h, and as this would have an impact
on AUBKC48, we repeated the analysis, including only
simulations where the T > MIC was >75%. From the
linear model there was no evidence to suggest that
Cmax/MIC or T > MIC was
predictive of AUBKC48 (P = 0.89 and 0.27, respectively), but AUC/MIC was found to be a significant predictor, as
was the squared term (AUC/MIC)2.
 |
DISCUSSION |
The present data add to our understanding of fluoroquinolone
pharmacodynamics in several ways. Firstly, they show that gemifloxacin is an effective antipneumococcal agent. Strains for which MICs were
0.1 mg/liter were cleared from the model by 24 to 36 h with the 320-mg once-daily simulations. The antibacterial effect was poorer
with those strains for which the MIC was
0.16 mg/liter, and little or
no killing was observed when the MIC was 0.24 mg/liter. Data on MIC
distribution for S. pneumoniae indicate MICs at which 90%
of the isolates tested are inhibited to be in the range of 0.03 to 0.06 mg/liter (20). This suggests that gemifloxacin will have
clinically useful antipneumococcal activity, and there are supportive
animal studies of respiratory and central nervous system infection
using strains for which MICs are up to 0.125 mg/liter (10, 19,
21). When human pharmacokinetics of 320-mg gemifloxacin were
modeled in rats to produce an AUC similar to that in humans, a >4-log
reduction in viable pneumococci in lung tissue was observed after 3 days of therapy. The MICs for all the S. pneumoniae strains
were
0.03 mg/liter. Recent reports from clinical trials confirm
gemifloxacin's activity against pneumococci (T. File, B. Schlemmer, T. Garau, B. Siquier, K. Hendrick, C. Young, and the Gemifloxacin 049 Study Group, 3rd Eur. Congr. Chemother., abstr. M129, p. 55, 2000).
The data also indicate that simulations of 320 mg once daily compared
to 640 mg every 48 h or 160 mg every 12 h tend to have the best
antimicrobial effect
with the exception of strain 18329 (MIC = 0.24 mg/liter). Regrowth after 24 h was most notable with the
640-mg simulation, with MICs of 0.06 to 0.16 mg/liter, while for the
160-mg simulation, clearance from the model was slower in the first
12 h than for the 320- or 640-mg simulation.
Over the last 2 to 3 years it has been suggested that the
pharmacodynamic parameters (AUC/MIC, Cmax/MIC,
and T > MIC) which predict fluoroquinolone's effect
against gram-negative bacteria such as Pseudomonas
aeruginosa could not be applied to gram-positive pathogens
in
particular, S. pneumoniae (Wright et al., Abstr. 98th Gen. Meet. Am. Soc. Microbiol.). Using an in vitro
pharmacodynamic model and testing ciprofloxacin, levofloxacin,
and trovafloxacin against two strains of S. pneumoniae, it was not possible to relate AUC/MIC or
Cmax/MIC to T99.9 and/or regrowth
(Wright et al., Abstr. 98th Gen. Meet. Am. Soc. Microbiol.). In
contrast, these data show that it is possible to use time-to-event
analysis to relate T99.9 to pharmacodynamic parameters.
Multivariate analysis indicates that Cmax/MIC
was best related to T99.9. A value of >5 for
Cmax/MIC was optimal, which is in close
agreement with other data, using different measurements of
antibacterial effect to assess the effect of ciprofloxacin, ofloxacin,
or levofloxacin against multidrug-resistant S. pneumoniae (K. J. Madaras-Kelly, T. Demasters, D. Soaves, and M. McLaughling, Abstr. 37th Intersci. Conf. Antimicrob.
Agents Chemother., abstr. A-27, 1997). A similar data analysis
testing the activity of moxifloxacin against a group of gram-positive and gram-negative pathogens indicated that AUC/MIC but not
T > MIC could be related to T99.9. Due to
the experimental design, the individual effects of AUC/MIC and
Cmax/MIC could not be distinguished in that
analysis (16). However, in this work it should be
remembered that there is a significant covariability of the
pharmacodynamic parameters, as doses used in humans or doses close to
those used in humans were employed.
Further controversy exists surrounding the magnitude of the AUC/MIC
required to maximize the outcome. A number of authors have shown that
S. pneumoniae clearance from in vitro models by ciprofloxacin, levofloxacin, ofloxacin, or trovafloxacin occurs at an
AUC/MIC of 30 to 50 (11-13). This contrasts with other in vitro model data with P. aeruginosa, which indicate that an
AUC/MIC of up to 200 to 500 is required to maximize effect
(17). The data on P. aeruginosa correlate with
human data collected mainly by treating gram-negative infection in
patients with pneumonia in intensive-care units (9). Our
data indicate that by the use of Emax curve
fitting, AUC/MIC is best related to antibacterial effect, as measured
by AUBKC48, and visual inspection of the curve indicates
that the maximal effect occurs at an AUC/MIC of 300 to 400. This is in
keeping with our own data on other gram-positive pathogens tested
against moxifloxacin. The moxifloxacin AUC/MIC needed to produce
the maximal effect against Staphylococcus aureus and
beta-hemolytic streptococci was >150 (14). Data
produced using five strains of S. pneumoniae for which the
moxifloxacin MIC range was 0.08 to 3.6 mg/liter indicated little
antibacterial effect when the AUC/MIC was <100 (15).
Combining these data suggests that the optimal AUC/MIC to produce a
bactericidal effect on gram-positive bacteria is similar to that
for gram-negative pathogens: definitive data from human
pharmacodynamic studies are awaited.
A number of antibacterial effect measurements are used to assess
efficacy in in vitro pharmacokinetic models. In this study we used
T99.9 but showed again that it is a highly variable
measurement (16). This may explain why some groups have
not been able to correlate it to pharmacodynamic parameters. As may be
expected, Cmax/MIC is related to
T99.9, as T99.9 depends on speed of kill, which
for concentration-dependent agents such as fluoroquinolones is related
to drug concentration and pathogen susceptibility (MIC). Data collected
with ciprofloxacin in simulations of 500 mg every 12 h or 1,000 mg
every 24 h indicated that the 1,000-mg simulation had advantages in
terms of early bactericidal action (3). It is interesting
that regrowth was a most marked feature of the experiments using a
single 640-mg simulation. T > MIC is likely to be
related to regrowth in in vitro models, and in the multivariate analysis of pharmacodynamic correlations with AUBKC48, both
AUC/MIC and T > MIC were predictive. When only data
with T > MICs of >75% were analyzed, only AUC/MIC
was predictive. It is already known from the work of Firsov et al. that
the use of measurement of antimicrobial effect which depends on
regrowth (intensity of effect) is strongly related to T > MIC and fluoroquinolone half-life in serum (8; Firsov
and Zinner, 8th Int. Symp. New Quinalones). However, it is
unclear whether in immunocompetent animals or humans the small number
of bacteria needed to produce regrowth in in vitro models would be
cleared by the immune system.
The complex relationships between AUC/MIC,
Cmax/MIC, and T > MIC in
predicting fluoroquinolone's antibacterial effect in this in vitro
model are a reflection of the situation in animal models (9). A review of the use of fluoroquinolones to treat
experimental endocarditis due mainly to gram-positive bacteria
indicated that an AUC/MIC of >100, Cmax/MIC of
>8, and T > MIC of 100% were significantly associated with lower numbers of CFU per gram of vegetation. However, AUC/MIC showed the best correlation with numbers of CFU per gram of
vegetation. These data are similar in showing that although AUC/MIC
best predicts gemifloxacin's antibacterial effect,
Cmax/MIC and T > MIC also have
a role.
In conclusion, these data indicate that gemifloxacin is an effective
antipneumococcal agent. In our pharmacokinetic model system,
AUBKC48 is the least variable measurement of antibacterial effect and AUC/MIC is its best predictor. However, speed of kill as
measured by T99.9 is best predicted by Cmax/MIC,
and prolongation of the dosing interval with a reduction in
T > MIC results in bacterial regrowth in the model and
increases the importance of T > MIC as a predictor of
AUBKC48. In conclusion, gemifloxacin showed
concentration-dependent activity against S. pneumoniae, its
effect is predicted best by AUC/MIC, and once-daily dosing seems the
most suitable regimen.
 |
ACKNOWLEDGMENTS |
We thank A. White and G. Woodnutt (SmithKline Beecham
Pharmaceuticals) for scientific and financial support.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Medical Microbiology, Southmead Hospital, Westbursy-on-Trym, Bristol, BS10 5NB, United Kingdom. Phone: 44 (0) 117 959 5651. Fax: 44 (0) 117 959 3154. E-mail:
macgowan_a{at}southmead.swest.nhs.uk.
 |
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Antimicrobial Agents and Chemotherapy, October 2001, p. 2916-2921, Vol. 45, No. 10
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.10.2916-2921.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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