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Antimicrobial Agents and Chemotherapy, July 1999, p. 1560-1564, Vol. 43, No. 7
0066-4804/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Activity of Moxifloxacin, Administered Once a Day,
against Streptococcus pneumoniae in an In Vitro
Pharmacodynamic Model of Infection
Alasdair P.
MacGowan,*
Karen E.
Bowker,
Mandy
Wootton, and
H. Alan
Holt
Bristol Centre for Antimicrobial Research and
Evaluation, Southmead Health Services NHS Trust and University of
Bristol, Bristol, United Kingdom
Received 12 May 1998/Returned for modification 24 December
1998/Accepted 8 April 1999
 |
ABSTRACT |
The antibacterial effect of moxifloxacin was studied by using an in
vitro pharmacodynamic model of infection with dosing simulations of 400 mg every 24 h for 48 h. Streptococcus pneumoniae
was tested by using four wild-type strains for which the moxifloxacin
MICs were 0.008, 0.12, 0.14, and 3.6 mg/liter. In addition, two
isogenic mutants, generated from the strains for which the moxifloxacin MICs were
0.12 mg/liter and for which the MICs were 1.0 and 1.6 mg/liter, were also used. Antibacterial efficacy was measured by the
following indices: log change in viable count at 12, 24, 36, and
48 h; area under the bacterial kill curve (AUBKC); and time to
kill 99.9% of the initial inoculum. With the three strains for which
the moxifloxacin MICs were
0.14 mg/liter, there was a marked
reduction in viable count over 12 to 36 h; in contrast, with
strains for which the MICs were
1.0 mg/liter, little killing occurred
over 48 h. A sigmoid dose-response model indicated that the area
under the curve/MIC ratio was strongly related to the log change in
viable count at 24 and 48 h and to the AUBKC. These data indicate
that moxifloxacin may have a role in management of S. pneumoniae infection.
 |
INTRODUCTION |
Infections of the lower respiratory
tract account for a significant clinical workload in both community and
hospital medical practice. In the United Kingdom on average 69 adult
patients per 1,000 population consult a general practitioner each year
with lower respiratory tract infections and over 30 million courses of
antibiotics are prescribed for their treatment (16).
Consultation rates increase with age and are often associated with
comorbidities; in addition, patient expectation is often high that an
antibiotic will be prescribed (14). For lower respiratory
tract infection, clinical and epidemiological factors are complicated
by increasing resistance in the bacterial pathogens associated with
infection, particularly Streptococcus pneumoniae. Penicillin
resistance is now common in many parts of the world even though its
geographical distribution is patchy; cefotaxime resistance is a more
recent event and is becoming more important (10). Macrolide
resistance in S. pneumoniae, while not new, is on a rising
trend, and in less developed areas of the world cotrimoxazole and
chloramphenicol resistance are a problem. A number of new quinolones
are being developed for use in respiratory tract infection to help
counter these resistance issues, as quinolone and penicillin or
macrolide resistance are not associated: examples include levofloxacin, grepafloxacin, trovafloxacin, and, more recently, moxifloxacin (Bay
12-8039) (10).
Moxifloxacin is an 8-methoxyquinolone with activity against S. pneumoniae (MIC at which 90% of isolates are inhibited
[MIC90], 0.12 to 0.25 mg/liter) and Haemophilus
influenzae and Moraxella catarrhalis (MIC90
for both,
0.25 mg/liter), as well as atypical respiratory pathogens
(3, 5, 7, 18, 24). Moxifloxacin susceptibility in S. pneumoniae is reduced in ciprofloxacin-resistant strains
(12) but is unaffected by penicillin or erythromycin susceptibility (17, 19).
The pharmacokinetics of moxifloxacin at oral doses of 100 mg every
12 h, 200 mg every 12 h, 400 mg every 24 h, and 400 mg every 24 h for 10 days in humans have been described (13,
21).
To further define the potential use of moxifloxacin administered at 400 mg every 24 h against S. pneumoniae, we used an in vitro pharmacodynamic model to simulate the influence of gradient antimicrobial concentrations on the antibacterial effect of
moxifloxacin with S. pneumoniae isolates of varying
susceptibilities to penicillin, cefotaxime, erythromycin,
ciprofloxacin, and moxifloxacin. As strains of S. pneumoniae
for which moxifloxacin MICs are >0.5 mg/liter are rare, we elected to
generate laboratory mutants. The antibacterial effect was characterized
as accurately as possible by performing experiments in triplicate and
by the use of several parameters to describe bacterial kill:
logarithmic reduction in viable counts, time to 99.9% kill of the
initial inoculum, and the area under the bacterial kill curve (AUBKC).
 |
MATERIALS AND METHODS |
Model.
A New Brunswick Bioflo 1000 (Hatfield, Hertfordshire,
England) in vitro model was used to simulate oral administration of 400 mg every 24 h over 48 h. The apparatus consists of a single central culture chamber connected via aluminum and silicone tubing first to a dosing chamber, which is in turn connected to a reservoir containing broth, and secondly to a vessel collecting outflow broth
from the chamber. The dosing chamber and central culture chamber were
diluted with broth with a peristatic pump (Ismatec Bennett & Co, Weston
super Mare, England) at a flow rate of 66 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 (Oxoid, Basingstoke,
England) supplemented with hemin (10 µg/ml), beta nicotinamide
adenine dinucleotide (10 µg/ml), and L-histidine (10 µg/ml) was used for all experiments. Preliminary experiments
indicated this broth supported a growth density of 107 to
108 CFU/ml at 18 h after inoculation into the model.
One percent magnesium chloride (BDH, Poole, Dorset, England) was
incorporated into nutrient agar plates (Merck, Dorset, England)
containing 5% whole horse blood (TCS Microbiology, Buckingham,
England) to neutralize moxifloxacin before viable counts were determined.
Strains.
S. pneumoniae SMH 11148 (penicillin MIC,
<0.06 mg/liter), S. pneumoniae SMH 11622 (penicillin MIC,
2 mg/liter), S. pneumoniae SMH 11617 (erythromycin MIC,
>16 mg/liter), and S. pneumoniae SMH 12647 (penicillin MIC,
2 mg/liter; cefotaxime MIC, 2 mg/liter; and ciprofloxacin MIC, >32
mg/liter) were used. Strains 11148M and 11622M were
laboratory-generated mutants of parent strains 11148 and 11622 which
were produced by the method of Dalhoff et al. (5). Briefly,
bacteria were grown overnight in brain heart infusion broth containing
twofold dilutions of moxifloxacin. From the tube containing the highest
drug concentration permitting visible growth, aliquots were used after
1/20 dilution to inoculate a second set of twofold dilutions. After
overnight incubation, the process was repeated until the desired
increase in MIC occurred.
Antibiotic.
Moxifloxacin (Bay 12-8039) was obtained from
Bayer AG, Wuppertal, Germany. Stock solutions were prepared according
to British Society of Antimicrobial Chemotherapy Guidelines
(2) and stored at
70°C.
MICs and MBCs.
MICs were determined by the British Society
of Antimicrobial Chemotherapy-defined standard broth dilution method
(2), with the exception that moxifloxacin concentrations
decreased in 0.02 or 0.2 mg/liter steps, not doubling dilutions.
Minimum bactericidal concentrations (MBCs) were determined by 99.9%
reduction in initial viable count after 24 h. MICs were determined
before and after moxifloxacin exposure.
Pharmacokinetic and killing curves.
The in vitro activities
of changing moxifloxacin concentrations against the seven strains
described were tested in the above-described model. Target moxifloxacin
concentrations at 1, 2, 3, 4, 6, 8, 12, 24, 26, and 48 h were 1.7, 1.8, 1.8, 1.7, 1.4, 1.3, 0.9, 0.4, 2.3, and 0.5 mg/liter (19a,
20). For all of the 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
the organism growth to reach equilibrium at a density of about
108 CFU/ml. Moxifloxacin (1.32 ml) was added to the dosing
chamber (20 ml) at time zero and a second time after 24 h. Samples
were taken from the central chamber via a port 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 the viable
bacterial count. The bacteria were quantified manually without dilution
and after 1/1,000 dilution with a Spiral Plater (Don Whitley Spiral
Systems, West Yorkshire, England). The minimum detection level was
2 × 102 CFU/ml. In addition, aliquots were taken at
the same time intervals and stored at
70°C for measurement of
moxifloxacin concentrations. Samples were assayed by bioassay with
Escherichia coli NCTC 10418 as the indicator organism
(1). All standards and samples were prepared and diluted as
necessary in the same concentration of brain heart infusion as was used
in the model. The limit of detection was 0.03 mg/liter, with a percent
coefficient of variation of 6.1%. All pharmacokinetic simulations and
killing curve determinations were performed in triplicate.
Pharmacokinetics, pharmacodynamics, and measurement of
antibacterial effects and statistical analysis.
The area under the
curve (AUC) simulated for moxifloxacin was 24.4 mg/liter · h,
and the elimination half-life was 8.8 h. Antibacterial activity
was assessed by calculating the log change in viable count, compared to
time zero, at 12 (
12), 24 (
24), 36 (
36), and 48 (
48) h. In
addition, the AUBKC (log CFU/ml · h) was calculated, after the
inoculum was standardized, by the log linear trapezoidal rule for the
periods 0 to 24 h (AUBKC24) and 0 to 48 h
(AUBKC48). The time taken for the inoculum to fall by
99.9% of its time zero value (T99.9) was also determined.
For pharmacodynamic analysis, the AUC/MIC ratio and the percentage of
time the concentration exceeded the MIC (T>MIC) were also
determined. The AUC/MIC ratio was related to AUBKC and
24 and
48
by a sigmoidal dose-response (variable-slope) model (Prism; GraphPad,
San Diego, Calif.).
 |
RESULTS |
MICs and MBCs.
The moxifloxacin MICs and MBCs for each strain
were as follows: strain 11148, 0.08 and 0.22 mg/liter; 11148M, 1.0 and
4.0 mg/liter; 11622, 0.12 and 0.28 mg/liter; 11622M, 1.6 and 4.4 mg/liter; 11617, 0.14 and 0.26 mg/liter; and 12647, 3.6 and 3.6 mg/liter.
Pharmacokinetic curves.
The mean (± standard deviation
[SD]) moxifloxacin concentrations in the model and the target
concentrations are shown in Fig. 1; there
was good agreement among them.

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FIG. 1.
Moxifloxacin serum concentration profile for dosing with
400 mg every 24 h and concentrations measured in the in vitro
model. The error bars indicate standard deviations.
|
|
Bacterial killing curves.
The killing curves of the S. pneumoniae strains after exposure to moxifloxacin are shown in
Fig. 2; mean (± SD) counts are illustrated. For the three strains for which the moxifloxacin MICs were
0.14 mg/liter, there was a marked reduction in viable counts. With
strain 11148 (moxifloxacin MIC, 0.08 mg/liter), this occurred within
12 h (Fig. 2a); however, with strains 11622 and 11617 (MICs, 0.12 and 0.14 mg/liter), maximum killing did not take place for 24 to
36 h, and with both strains, grow-back occurred by 48 h (Fig.
2b and c). T99.9 was 7.9 ± 2.2 h for strain 11148 (MIC, 0.08 mg/liter), 21.8 ± 7.0 h for strain 11622 (MIC,
0.12 mg/liter), and 21.9 ± 6.0 h for strain 11617 (MIC, 0.14 mg/liter). In contrast, with laboratory-generated mutants for which the
MICs were 1.0 (11148M) and 1.6 (11622M) mg/liter or the wild-type
resistant strain 12647 (MIC, 3.6 mg/liter), very little killing
occurred over the time of the simulation (Fig. 2a, b, and d). The
T99.9 was >48 h for all three strains. The
AUBKC24 was least with the most susceptible strains, for
which the MICs were
0.14 mg/liter, and greater with those less
susceptible (MICs,
1 mg/liter). This was more obvious with the
AUBKC48 than with the AUBKC24. No change in the
MICs for any of the strains was noted after drug exposure.

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FIG. 2.
Bactericidal effect of moxifloxacin at 400 mg every
24 h on strain 11148 (a), strain 11622 (b), strain 11617 (c), and
strain 12647 (d). Error bars indicate standard deviations.
|
|
Pharmacodynamics of the antibacterial effect.
Table
1 shows the univariate summaries of the
pharmacodynamic parameters and their relationship to five indices of
antibacterial effect:
24,
48, AUBKC24,
AUBKC48, and T99.9. The MIC, the AUC/MIC ratio,
and T>MIC are all closely related to each other, such that when the MIC increases or the AUC/MIC ratio and T>MIC
decrease,
24 and
48 decrease but AUBKC or T99.9
increase. Curve fitting by a sigmoid dose-response model indicated the
AUC/MIC ratio was strongly related to
24,
48, or AUBKC:
24
versus AUC24/MIC, R2 = 0.7716;
AUBKC24 versus AUC24/MIC,
R2 = 0.7797;
48 versus
AUC48/MIC, R2 = 0.9268;
AUBKC48 versus AUC48/MIC,
R2 = 0.9155 (Fig.
3).

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FIG. 3.
Moxifloxacin activity against seven strains of S. pneumoniae with various MICs; relationship between 24 and the
AUC24/MIC ratio (a) and AUBKC24 and the
AUC24/MIC ratio (b).
|
|
 |
DISCUSSION |
The primary objective of this study was to use an in vitro
pharmacodynamic model to simulate the changing moxifloxacin
concentrations observed in human sera with 400 mg once-a-day oral
therapy over two doses, that is, for 48 h, and to assess the
antibacterial effect with S. pneumoniae as the indicator
organism. The moxifloxacin concentrations modelled on early
pharmacokinetic studies have subsequently been shown to be
conservative, as the maximum concentration of drug in serum after a
400-mg oral dose is probably in the range of 2.8 to 3.4 mg/liter, and
the AUC is 30 to 36 mg/liter · h (21). In addition,
the initial bacterial density is high at 108 CFU/ml, so
these experiments will, if anything, underestimate the activity of the
drug. The data indicate that for isolates for which the MICs are
0.14
mg/liter, moxifloxacin is bactericidal over the first dosing interval.
The use of a second simulated dose, extending the simulation to 48 h, was of value, as it indicated regrowth with the two strains for
which the MIC values were higher. The antibacterial impact of a third
dose is unknown. Laboratory-generated mutants for which the MICs were
1.0 mg/liter were not killed; neither was a wild-type resistant
strain for which the MIC was 3.6 mg/liter. The ciprofloxacin MIC for
this strain was also high, and it was resistant to penicillin and
cefotaxime. Such strains are very rare in the United Kingdom, where the
reported range of ciprofloxacin MICs for S. pneumoniae
isolated from clinical specimens in 1995 and 1996 was 0.5 to 2 mg/liter
(23). In Europe, the MICs of ciprofloxacin for only 0.6 or
0.7% of S. pneumoniae isolates were
4 mg/liter in 1992 or
1993 (6); however, S. pneumoniae isolates for
which the ciprofloxacin MICs were
4 mg/liter have been described
before in the United Kingdom, for one of which the grepafloxacin MIC
was 4 mg/liter, and it was penicillin resistant (23). The
use of this wild-type moxifloxacin-resistant isolate enabled us to show
that the laboratory-generated mutants and the wild-type strain behaved
in similar ways when exposed to changing moxifloxacin concentrations.
These data extend those of others who, using fixed moxifloxacin
concentrations and time kill methodologies, showed marked bactericidal
activity of moxifloxacin with >3 log-unit reduction in viable counts
after 6 h with concentrations of 2.3 mg/liter employing S. pneumoniae isolates for which the MICs were
0.12 mg/liter
(11). Similar data were generated with moxifloxacin at
concentrations of 2 × MIC (22). In addition, Dalhof
(4) previously used an in vitro model to simulate a single
oral 200-mg dose and noted a marked bactericidal effect within 12 h.
The AUC/MIC ratio is widely used as a predictor of quinolone
antibacterial effect, and it has been validated in a dilutional in
vitro model similar to the one used here (15). Corrections for bacterial washout from the growth chamber were not included, and
despite the use of quinolones with different elimination half-lives ranging from 2.5 to 10 h, the AUC/MIC ratio was related, using a
sigmoid nonlinear effect model, to the inverse of the area under the
bacterial effect curve over 24 h. Here we only simulated one dosing regimen, making full pharmacodynamic evaluation impossible. The
AUC/MIC ratio, T>MIC, and MIC changes were closely related to one another and have a marked antibacterial effect when judged by
AUBKC. However, we were able to show by a sigmoid dose-response model a
relationship between the AUC/MIC ratio and antibacterial effect. The
relationship of the AUC/MIC ratio to bacteriological and clinical
outcomes has been shown in humans with intravenous ciprofloxacin and
oral grepafloxacin in the therapy of respiratory tract infection
(8, 9, 24); unfortunately, the AUC/MIC ratio which will
provide a significant breakpoint in predicting the probability of
clinical and bacteriological cure still remains to be finally defined,
but it is probably about 100, based on in vitro and in vivo data
(8, 9, 24). Extension of our experiments to study emergence
of resistance during as well as after the simulations may have provided
better information on the relationship of the AUC/MIC ratio and
postexposure increases in MIC for S. pneumoniae and moxifloxacin.
The results of these experiments suggest that the modelled moxifloxacin
serum concentrations have a marked antibacterial effect against
S. pneumoniae strains for which the MICs are
0.14
mg/liter; this is in contrast to strains for which the MICs are
1
mg/liter. Given the increasing resistance of S. pneumoniae
to presently available
-lactams and macrolides, new quinolones such
as moxifloxacin with significant antipneumococcal activity may have an
important future clinical role.
 |
ACKNOWLEDGMENT |
We thank A. Dalhoff (Bayer AG) for support.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Bristol Centre
for Antimicrobial Research and Evaluation, Department of Medical
Microbiology, Southmead Hospital, Westbury-on-Trym, Bristol, BS10 5NB,
United Kingdom. Phone: 44 (0) 117 9595652. Fax: 44 (0) 117 9593154. E-mail: MACGOWAN_A{at}southmead.swest.nhs.uk.
 |
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Antimicrobial Agents and Chemotherapy, July 1999, p. 1560-1564, Vol. 43, No. 7
0066-4804/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
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Ginsburg, A. S., Lee, J., Woolwine, S. C., Grosset, J. H., Hamzeh, F. M., Bishai, W. R.
(2005). Modeling In Vivo Pharmacokinetics and Pharmacodynamics of Moxifloxacin Therapy for Mycobacterium tuberculosis Infection by Using a Novel Cartridge System. Antimicrob. Agents Chemother.
49: 853-856
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Bowker, K. E., Noel, A. R., Walsh, T. R., Rogers, C. A., MacGowan, A. P.
(2004). Pharmacodynamics of Ceftazidime plus the Serine {beta}-Lactamase Inhibitor AM-112 against Escherichia coli Containing TEM-1 and CTX-M-1 {beta}-Lactamases. Antimicrob. Agents Chemother.
48: 4482-4484
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MacGowan, A. P., Noel, A. R., Rogers, C. A., Bowker, K. E.
(2004). Antibacterial Effects of Amoxicillin-Clavulanate against Streptococcus pneumoniae and Haemophilus influenzae Strains for Which MICs Are High, in an In Vitro Pharmacokinetic Model. Antimicrob. Agents Chemother.
48: 2599-2603
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Zelenitsky, S. A., Ariano, R. E., Iacovides, H., Sun, S., Harding, G. K. M.
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51: 905-911
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MacGowan, A. P., Rogers, C. A., Holt, H. A., Bowker, K. E.
(2003). Activities of Moxifloxacin against, and Emergence of Resistance in, Streptococcus pneumoniae and Pseudomonas aeruginosa in an In Vitro Pharmacokinetic Model. Antimicrob. Agents Chemother.
47: 1088-1095
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MacGowan, A. P., Bowker, K. E.
(2003). Mechanism of Fluoroquinolone Resistance Is an Important Factor in Determining the Antimicrobial Effect of Gemifloxacin against Streptococcus pneumoniae in an In Vitro Pharmacokinetic Model. Antimicrob. Agents Chemother.
47: 1096-1100
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Firsov, A. A., Zinner, S. H., Vostrov, S. N., Portnoy, Y. A., Lubenko, I. Yu.
(2002). AUC/MIC relationships to different endpoints of the antimicrobial effect: multiple-dose in vitro simulations with moxifloxacin and levofloxacin. J Antimicrob Chemother
50: 533-539
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Zhanel, G. G., Roberts, D., Waltky, A., Laing, N., Nichol, K., Smith, H., Noreddin, A., Bellyou, T., Hoban, D. J.
(2002). Pharmacodynamic activity of fluoroquinolones against ciprofloxacin-resistant Streptococcus pneumoniae. J Antimicrob Chemother
49: 807-812
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Beard, S. J., Salisbury, V., Lewis, R. J., Sharpe, J. A., MacGowan, A. P.
(2002). Expression of lux Genes in a Clinical Isolate of Streptococcus pneumoniae: Using Bioluminescence To Monitor Gemifloxacin Activity. Antimicrob. Agents Chemother.
46: 538-542
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MacGowan, A. P., Rogers, C. A., Holt, H. A., Wootton, M., Bowker, K. E.
(2001). Pharmacodynamics of Gemifloxacin against Streptococcus pneumoniae in an In Vitro Pharmacokinetic Model of Infection. Antimicrob. Agents Chemother.
45: 2916-2921
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Zhanel, G. G., Walters, M., Laing, N., Hoban, D. J.
(2001). In vitro pharmacodynamic modelling simulating free serum concentrations of fluoroquinolones against multidrug-resistant Streptococcus pneumoniae. J Antimicrob Chemother
47: 435-440
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Klepser, M. E., Ernst, E. J., Petzold, C. R., Rhomberg, P., Doern, G. V.
(2001). Comparative Bactericidal Activities of Ciprofloxacin, Clinafloxacin, Grepafloxacin, Levofloxacin, Moxifloxacin, and Trovafloxacin against Streptococcus pneumoniae in a Dynamic In Vitro Model. Antimicrob. Agents Chemother.
45: 673-678
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Firsov, A. A., Lubenko, I. Y., Portnoy, Y. A., Zinner, S. H., Vostrov, S. N.
(2001). Relationships of the Area under the Curve/MIC Ratio to Different Integral Endpoints of the Antimicrobial Effect: Gemifloxacin Pharmacodynamics in an In Vitro Dynamic Model. Antimicrob. Agents Chemother.
45: 927-931
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Firsov, A. A., Lubenko, I. Yu., Vostrov, S. N., Kononenko, O. V., Zinner, S. H., Portnoy, Y. A.
(2000). Comparative pharmacodynamics of moxifloxacin and levofloxacin in an in vitro dynamic model: prediction of the equivalent AUC/MIC breakpoints and equiefficient doses. J Antimicrob Chemother
46: 725-732
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MacGowan, A., Rogers, C., Bowker, K.
(2000). The use of in vitro pharmacodynamic models of infection to optimize fluoroquinolone dosing regimens. J Antimicrob Chemother
46: 163-170
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MacGowan, A., Rogers, C., Holt, H. A., Wootton, M., Bowker, K.
(2000). Assessment of different antibacterial effect measures used in in vitro models of infection and subsequent use in pharmacodynamic correlations for moxifloxacin. J Antimicrob Chemother
46: 73-78
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