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Antimicrobial Agents and Chemotherapy, October 2001, p. 2793-2797, Vol. 45, No. 10
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.10.2793-2797.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Pharmacodynamics of Fluoroquinolones against
Streptococcus pneumoniae in Patients with
Community-Acquired Respiratory Tract Infections
Paul G.
Ambrose,1,*
Dennis M.
Grasela,2
Thaddeus H.
Grasela,1
Julie
Passarell,1
Howard B.
Mayer,3 and
Phillip F.
Pierce3
Cognigen Corporation, Buffalo, New
York1; Bristol-Myers Squibb Company,
Princeton, New Jersey2; and
Bristol-Myers Squibb Company, Wallingford,
Connecticut3
Received 18 December 2000/Returned for modification 5 June
2001/Accepted 21 July 2001
 |
ABSTRACT |
Fluoroquinolone antibiotic agents have demonstrated efficacy in the
treatment of respiratory tract infections. This analysis was designed
to examine the relationship between drug exposure, as measured by the
free-drug area under the concentration-time curve at 24 h
(AUC24)/MIC ratio, and clinical and microbiological responses in patients with community-acquired respiratory tract infections involving Streptococcus pneumoniae. The study
population included 58 adult patients (34 males, 24 females) who were
enrolled in either of two phase III, randomized, multicenter,
double-blind studies of levofloxacin versus gatifloxacin for the
treatment of community-acquired pneumonia or acute exacerbation of
chronic bronchitis. Clearance equations from previously published
population pharmacokinetic models were used in conjunction with dose
and adjusted for protein binding to estimate individual patient
free-drug AUC24s. In vitro susceptibility was determined in
a central laboratory by broth microdilution in accordance with NCCLS
guidelines. Pharmacodynamic analyses were performed on data from all
evaluable patients with documented S. pneumoniae
infection using univariate and multivariable logistic regression;
pharmacodynamic breakpoints were estimated using Classification and
Regression Tree analysis. A statistically significant
(P = 0.013) relationship between microbiological
response and the free-drug AUC24/MIC ratio was detected. At
a free-drug AUC24/MIC ratio of <33.7, the probability of a
microbiological response was 64%, and at a free-drug
AUC24/MIC ratio of >33.7, it was 100%
(P < 0.01). These findings may provide a minimum
target free-drug AUC24/MIC ratio for the treatment of
infections involving S. pneumoniae with fluoroquinolone
antibiotics and provide a paradigm for the selection of
fluoroquinolones to be brought forward from drug discovery into
clinical development and dose selection for clinical trials. Further,
when target free-drug AUC24/MIC ratios are used in
conjunction with stochastic modeling techniques, these findings may be
used to support susceptibility breakpoints for fluoroquinolone
antibiotics and S. pneumoniae.
 |
INTRODUCTION |
The relationship that exists
between drug exposure and the MIC for an infectious organism has been
shown to be predictive of microbiological eradication (3, 4, 5,
14). Existing data suggest that, for fluoroquinolones, an area
under the concentration-time curve at 24 h
(AUC24)/MIC ratio of 100 to 125 correlates with optimal clinical and microbiological outcomes in seriously ill patients
infected with gram-negative enteric pathogens and Pseudomonas aeruginosa (7, 8). However, over the past several
years there has been considerable controversy as to whether or not this pharmacodynamic target applies to all patient populations and all organisms.
Data from in vitro and animal models of infection have recently emerged
and suggest that, for Streptococcus pneumoniae, the optimal
free-drug AUC24/MIC ratio is much lower than 100 to 125. For instance, an in vitro model of pneumococcal infection
demonstrated that, for levofloxacin and ciprofloxacin, free-drug
AUC24/MIC ratios of 30 were associated with a
4-log-unit kill but that ratios less than 30 were associated with
significantly reduced extents of bacterial killing and in some
instances regrowth (10). Similarly, Lister and Sanders
reported that, for levofloxacin and ciprofloxacin, free-drug
AUC24/MIC ratios of 32 to 64 were associated with
eradication of S. pneumoniae from an in vitro model of
infection (11). These observations are supported by data
from nonneutropenic animal models of pneumococcal infection, where for
ciprofloxacin, gatifloxacin, gemifloxacin, levofloxacin, moxifloxacin,
and sitafloxacin survival was associated with a free-drug
AUC24/MIC ratio of 25 to 34 (W. A. Craig and
D. R. Andes, Abstr. 40th Intersci. Conf. Antimicrob. Agents
Chemother., abstr. 289, 2000). Limited prospective clinical data also
suggest that the free-drug AUC24/MIC ratios
associated with optimal clinical outcome are significantly less than
125 for community-acquired pathogens (7; G. L. Drusano, unpublished data).
To clarify this issue further, we investigated the pharmacodynamics of
levofloxacin and gatifloxacin against S. pneumoniae in
patients with community-acquired respiratory tract infections.
 |
MATERIALS AND METHODS |
Patient population and clinical data.
Study data were
obtained from two double-blind, randomized, multicenter, phase III
clinical trials comparing levofloxacin and gatifloxacin for the
treatment of either community-acquired pneumonia (CAP) or acute
exacerbation of chronic bronchitis (AECB) (15, 17). The
studies were performed in accordance with guidelines developed by the
Infectious Disease Society of America for evaluation of new
anti-infective agents for treatment of respiratory tract infections
(2). Moreover, these studies were performed in compliance with Institutional Review Board and Code of Federal Regulations standards and the principles of the Declaration of Helsinki and its amendments.
Patients 18 years of age and older who had a history of chronic
bronchitis were eligible for enrollment into the AECB study. Chronic
bronchitis was defined as a productive cough on most days for at least
three consecutive months in two consecutive years. Patients were
selected for inclusion on the basis of having increases in at least two
of the following signs and symptoms: cough and/or dyspnea, sputum
volume, and sputum purulence.
Exclusion criteria for the AECB study consisted of pregnancy,
lactation, and inability or unwillingness to use effective birth
control, radiographically documented pulmonary infiltrates, and
recent
(within 7 days) or concurrent systemic antibacterial therapy.
Patents
receiving antiviral agents, antifungal agents, or oral
corticosteroids
were enrolled if all other inclusion criteria
and none of the exclusion
criteria were
met.
Ambulatory or hospitalized patients 18 years of age and older with a
clinical diagnosis of CAP were eligible for enrollment
into the CAP
study. The clinical diagnosis of CAP required evidence
of a new
pulmonary infiltrate on chest radiograph and two or more
of the
following clinical findings: fever (oral temperature of
38°C or
higher); leukocytosis (greater than 10,000 white blood
cells/µl or
greater than 15% bands); cough; chest pain; purulent
sputum
(more than 25 polymorphonuclear neutrophils and fewer than
10 squamous
epithelial cells per low-power optical field); transtracheal
aspirate,
bronchial brushings, or biopsy material demonstrating
neutrophils and a
predominate pathogen on Gram staining; a direct
lung aspirate with a
predominate pathogen on Gram staining; and
auscultatory
findings.
Patients were excluded from the CAP study for any of the following
reasons: if more than one dose of a systemic antibiotic
was
administered within 7 days prior to enrollment, if the requirement
for
another systemic antibiotic seemed likely during the study
period, if
there were clinical reasons necessitating more than
14 days of
antibiotic therapy, or if patients were likely to die
of intercurrent
disease within 3
days.
Also excluded from the CAP study were patients with evidence of the
following: a rapidly progressive underlying disease that
would preclude
evaluation of response to therapy; a preexisting
medical condition that
mimicked or altered the course of therapy;
known or suspected active
tuberculosis or other pulmonary infection
caused by mycobacteria,
fungi, parasites, or viruses; empyema;
an immunologic disease; or
long-term use (at least 2 weeks) of
corticosteroids (equivalent to 10 mg or more of prednisone per
day) or other immunosuppressive
agents.
Patients with known serious hypersensitivity to quinolone antibiotics,
renal insufficiency (serum creatinine level higher
than 1.5 mg/dl or
renal dialysis), or clinically significant hepatic
disease (alanine
aminotransferase, aspartate aminotransferase,
and/or bilirubin levels
three or more times the upper limit of
normal) were excluded from both
studies. Finally, patients with
any malabsorption syndrome or other
gastrointestinal condition
that would affect drug absorption and
pregnant or breast-feeding
women were not enrolled in either study. No
patient participated
in both
studies.
Drug dosage and administration.
In the AECB study, patients
were randomly assigned to receive either 500 mg of levofloxacin or 400 mg of gatifloxacin every 24 h administered orally for 7 to 10 days. In the CAP study, patients were randomly assigned to receive
either 500 mg of levofloxacin or 400 mg of gatifloxacin every 24 h
for 7 to 14 days. Gatifloxacin was administered either orally or as an
intravenous infusion over 1 h. Levofloxacin was administered
either orally or as an intravenous infusion over 1 h. At the
investigator's discretion, patients received either oral therapy alone
or intravenous therapy followed by oral therapy.
Outcome evaluation.
Clinical response was determined by
comparing the patient's baseline signs and symptoms of infection with
those after therapy and then categorized as either cure or
failure. Cure was defined as resolution or improvement of
all signs and symptoms present at study entry at the test-of-cure visit
(7 to 14 days after the end of therapy) without need of further
antibiotics. Failure was defined as any one or more of the following
circumstances: persistent or worsened signs and symptoms after at least
3 days of therapy, new clinical findings consistent with progression of
infection, progressive radiological abnormalities, additional
antibiotic therapy needed for the study indication, and/or death
due to the study indication.
Microbiologically evaluable patients were those clinically evaluable
patients with a susceptible pretreatment pathogen. The
microbiological
response to therapy was determined 7 to 14 days
after the completion of
study drug therapy and was classified
as either eradicated, presumed
eradicated, persistent, or presumed
persistent. "Eradicated" was
defined as the absence of the pretreatment
pathogen from the
posttreatment sputum. If a patient's clinical
response was classified
as a cure and no material was available
for culture, the pretreatment
pathogen was presumed eradicated.
"Persistent" was defined as the
presence of the pretreatment pathogen
in the posttreatment culture. If
a patient's clinical response
was classified as a failure and no
material was available for
culture, the pretreatment pathogen was
considered presumed
persistent.
Microbiological susceptibility testing and determination of drug
exposure.
All isolated pathogens were tested for susceptibility to
levofloxacin and gatifloxacin by broth microdilution in accordance with
guidelines recommended by the National Committee for Clinical Laboratory Standards (NCCLS) (12)
For the subset of clinically and microbiologically evaluable patients
infected with
S. pneumoniae (
n = 58),
estimates of clearance
were generated by using each patient's
demographic characteristics
and a regression equation. For
levofloxacin, equation 1, a previously
published and validated
regression equation, was used; for gatifloxacin,
equation 2 was used
(
13; D. M. Grasela, unpublished data).
clearance = constant + race + (age ·
0.032) + (creatinine clearance · 0.070) (1)
clearance = 8.11 + 0.0629 (creatinine clearance
75.0) (2)
The clearance estimates were then used in conjunction
with dose to obtain a total-drug AUC
24 for each
patient (equation 3).
total-drug AUC
24 = dose/clearance
(3)
The total-drug AUC
24 estimates were
subsequently used in combination with protein-binding data to estimate
a free-drug AUC
24 for each patient (equation
4).
free-drug AUC
24 = total-drug
AUC
24 · unbound fraction
(4)
Pharmacodynamic analysis.
The evaluation of an
antimicrobial agent requires both a measure of drug exposure and a
measure of drug potency for a given pathogen. The measure of drug
exposure chosen was the free-drug AUC24, and the
measure of drug potency was the MIC. The free-drug AUC24/MIC ratio was determined by dividing the
free-drug AUC24 for each patient by the MIC for
the patient's isolate.
Univariate and multivariable logistic regression analyses were used to
evaluate the probability of clinical cure and microbiological
eradication and were performed using the Logistic procedure of
SAS
software, version 6.12 (
16). For the purposes of these
analyses,
free-drug AUC
24/MIC ratios were treated
as categorical data, and
levofloxacin and gatifloxacin free-drug
AUC
24/MIC ratios were
pooled.
Both the clinical and microbiological analyses used stepwise model
selection with an entry level of significance of 0.05 and
an exit level
of significance of 0.05. Demographic variables considered
in the
analyses included age, gender, weight, and creatinine clearance;
pharmacodynamic variables included MIC, free-drug
AUC
24, and free-drug
AUC
24/MIC. For the clinical evaluation, patients
were classified
as cured or the treatment was classified a failure as
previously
described. For the microbiological evaluation, eradication
and
presumed eradication of the organism were considered successful
outcomes; the persistence and presumed persistence of the organism
were
considered unsuccessful
outcomes.
Classification and Regression Tree (CART) analysis (as implemented in
S-Plus 2000 professional release 2) was used to select
a breakpoint(s)
which partitioned patients' responses on the basis
of free-drug
AUC
24/MIC
ratios.
Model bias and precision.
Model bias and precision were
evaluated using drug concentration data from the subset of patients
from whom actual drug concentration data were obtained. The
plasma-sampling schedules included two steady-state time points (peak
and trough) and were measured using high-performance liquid
chromatographic assay (9). A plot of free-drug
AUC24s estimated using these concentrations in
plasma in conjunction with demographic data versus free-drug
AUC24s estimated using demographic data alone was
made to validate the regression equation used in these analyses. The
slope, y intercept, r value, median bias, and
level of precision for AUC prediction were calculated.
 |
RESULTS |
Of the 778 patients randomized to receive either levofloxacin or
gatifloxacin for the therapy of CAP or AECB, 635 were clinically evaluable. Most patients categorized as clinically unevaluable were
either clinically ineligible (i.e., a new infiltrate on pretreatment radiograph not confirmed by a radiologist was present), failed to
undergo a test-of-cure assessment, or received inadequate antibiotic dosing. Of these 635 patients, 376 were microbiologically evaluable. Microbiologically evaluable patients represent the subset of clinically evaluable patients who had an identified microorganism. Of the 376 microbiologically evaluable patients, 58 had CAP or AECB associated with S. pneumoniae. These 58 patients represent the
population used in all pharmacodynamic analyses.
Of the 58 patients, 34 were male and 24 were female; their ages were
between 20 and 83 years. The numbers of patients treated for CAP and
AECB were essentially equal. The four microbiological responses
classified as unsuccessful were evenly distributed between the CAP and
AECB studies. Of the seven clinical responses classified as
unsuccessful, two were from the CAP study and five were from the AECB
study. Approximately 69% of patients were white, 28% were black, and
3% were classified as other. Patient demographics stratified by study
drug are presented in Table 1. Overall,
there were no significant differences in demographic variables between those patients treated with levofloxacin and those treated with gatifloxacin. The median MIC of levofloxacin for baseline pneumococcal isolates was 1.0, and the MIC range was between 0.015 and 1.0 µg/ml.
The median MIC of gatifloxacin for baseline pneumococcal isolates was
0.25, and the MIC range was between 0.03 and 0.25 µg/ml.
Model bias and precision.
Of the 778 patients randomized to
receive study drug for the therapy of CAP or AECB, 67 had measured
plasma gatifloxacin concentrations. A plot of free-drug
AUC24/MIC ratios estimated using concentrations in plasma in conjunction with demographic data versus free-drug AUC24/MIC ratios estimated using demographic data
alone is presented in Fig. 1. The slope,
y intercept, and r value were 1.03, 3.01, and
0.62, respectively, and for the prediction of free-drug
AUC24 the median bias was 0.05 and the level of
precision was 17.6%.

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|
FIG. 1.
Observed versus predicted gatifloxacin free-drug
AUC24s for 67 patients. The slope is 1.03, and the
y intercept is 3.01. For the prediction of free-drug
AUC24, the median bias and median level of precision were
0.05 and 17.6%, respectively. The correlation coefficient
(r) was 0.62.
|
|
Pharmacodynamic analysis.
The covariates tested for
association with microbiological response were the same for both the
univariate and multivariable analyses. In the univariate analysis, a
free-drug AUC24/MIC ratio below 33.7 was inferior
for microbiological response compared with ratios greater than 33.7 (64% versus 100%, P < 0.01). Because the free-drug
AUC24/MIC ratio was the only covariate that
reached a statistical significance level of 0.05 (Table
2), the results of the multivariable
analysis were identical. The probability plot with the CART-determined
breakpoint (i.e., 33.7) for microbiological response is illustrated in
Fig. 2. The percentage of patients with a
positive microbiological response are stratified by free-drug AUC24/MIC ratios in Table
3. The percentages of microbiological cures for patients whose free-drug AUC24/MIC
ratios were 21 to 30 were similar to those for patients whose ratios
were 31 to 40. Further, as the free-drug
AUC24/MIC ratios increased beyond 40, there was
no possible improvement in microbiological response.

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FIG. 2.
Probability of microbiological eradication
(n = 58 organisms; four patients experienced
persistent infection). Two breakpoints, 27.1 and 33.7, were
identified by CART analysis. Overall, the higher breakpoint of 33.7 represents the free-drug AUC24/MIC ratio above
which there is a significantly increased probability of bacterial
eradication.
|
|
In the univariate analysis of clinical response, the results for no
variable were significant and therefore multivariable
analysis was not
necessary. The percentages of patients with a
positive clinical
response are stratified by free-drug AUC
24/MIC
ratios in Table
3.
 |
DISCUSSION |
The pharmacodynamics of fluoroquinolone antimicrobial agents have
been well elucidated. These agents have concentration-dependent bactericidal effects against gram-positive and gram-negative bacteria, and their free-drug AUC24/MIC ratios generally
have the strongest correlation with outcome in animal and in vitro
models of infection and in human infections (6, 7, 10;
W. A. Craig and D. R. Andes, Abstr. 40th Intersci. Conf.
Antimicrob. Agents Chemother., abstr 289, 2000). Current data indicate
that the pharmacodynamic goal of therapy for gram-positive
microorganisms appears to be different from that for gram-negative
microorganisms. For gram-negative microorganisms, an
AUC24/MIC ratio of at least 125 has been
associated with optimal clinical and microbiological outcomes in
patients with serious infections (8). Unfortunately, this
target has been inappropriately applied to all other microorganisms and
all other patient populations. The data indicate that in stochastic models, in animal and in vitro models of infection, and in less severely ill patients with gram-positive bacterial infections, lower
free-drug AUC24/MIC ratios (i.e., 25 to 34) are
appropriate (1, 7, 10, 11; Craig and Andes, 40th ICAAC;
N. L. Jumbe, A. Louie, W. Liu, M. H. Miller, and G. L. Drusano, Abstr. 40th Intersci. Conf. Antimicrob. Agents Chemother.,
abstr 291, 2000; G. L. Drusano, unpublished data). The
microbiological response rate and CART analysis determined that a
free-drug AUC24/MIC ratio breakpoint of 33.7 in
the present study is consistent with the aforementioned observations
from animal and in vitro models of infections, stochastic models, and
the limited clinical data that is available in the literature. One
limitation of the present analysis, as well other similar analyses
(7, 8, 14), is that there were few failures in the data
set, which limits the precision in setting target exposure breakpoints.
However, pharmacodynamic modeling can be utilized to minimize the risk
of obtaining suboptimal drug exposures in clinical trials.
When one compares the patients classified as having successful
microbiological outcomes with those classified as having unsuccessful microbiological outcomes, it is interesting that the patients classified as having failed therapy were, on average, younger (44 versus 53 years) and had higher estimated creatinine clearances (117 versus 100 ml/min). These factors result in greater drug clearance
rates and, therefore, a lower level of drug exposure. Further, the MICs
for pneumococcal isolates from patients classified as having failed
therapy tended to be higher (i.e., each being 1.0 µg/ml) than those
for isolates from patients classified as having been cured. Obviously,
these factors combined result in low free-drug
AUC24/MIC ratios.
In the present study, the correlation between clinical response and the
free-drug AUC24/MIC ratio was not significant.
This lack of significance should not be interpreted to mean that these two variables are unrelated; it is often difficult to determine if a
lack of clinical improvement is due to failure of the antibiotic to
kill the pathogen or due to some other factor. Reasons known to
complicate clinical response determinations in clinical trials include
comorbid conditions, underlying viral infection, and/or a clinician's
lack of familiarity with the patient's baseline health status. In the
present study, the mean free-drug AUC24/MIC ratio
of the patients who failed to show a clinical response above a ratio of
33.7 was 472. These levels of exposure would be clearly expected
to eradicate S. pneumoniae in animal and in vitro models of
infection; therefore, considering these high drug exposures and that
these patients had positive microbiological responses, it is possible
that other factors may be responsible for the lack of clinical improvement.
In summary, a relationship between free-drug
AUC24/MIC ratio and microbiological response in
patients with community-acquired respiratory tract infections involving
S. pneumoniae was observed in this study. The free-drug
AUC24/MIC ratio associated with a high
probability of bacterial eradication in this patient population was
>33.7, which is significantly lower than AUC/MIC ratios associated with positive outcomes in severely ill patients with infections involving gram-negative microorganisms. These findings may provide a
minimum target free-drug AUC24/MIC ratio for the
treatment of infection involving S. pneumoniae with
fluoroquinolone antibiotics and provide a paradigm for the selection of
fluoroquinolones to be brought forward from drug discovery into
clinical development and dose selection for clinical trials. Further,
when target free-drug AUC24/MIC ratios are used
in conjunction with stochastic modeling techniques, these findings may
be used to support susceptibility breakpoints for fluoroquinolone
antibiotics and S. pneumoniae.
 |
ACKNOWLEDGMENTS |
This work was supported by a grant from the Bristol-Myers Squibb Company.
The analysis presented herein benefited from communication with George
L. Drusano.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Infectious
Diseases, Cognigen Corporation, 395 Youngs Rd., Buffalo, NY 14221-5831. Phone: (716) 633-3463, ext. 302. Fax: (716) 633-7404. E-mail: paul.ambrose{at}cognigencorp.com.
 |
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Antimicrobial Agents and Chemotherapy, October 2001, p. 2793-2797, Vol. 45, No. 10
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.10.2793-2797.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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Dooley, K., Flexner, C., Hackman, J., Peloquin, C. A., Nuermberger, E., Chaisson, R. E., Dorman, S. E.
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MacGowan, A. P., on behalf of the BSAC Working Parties on Resistanc,
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Ambrose, P. G., Forrest, A., Craig, W. A., Rubino, C. M., Bhavnani, S. M., Drusano, G. L., Heine, H. S.
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Homma, T., Hori, T., Sugimori, G., Yamano, Y.
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Meagher, A. K., Passarell, J. A., Cirincione, B. B., Van Wart, S. A., Liolios, K., Babinchak, T., Ellis-Grosse, E. J., Ambrose, P. G.
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51: 1939-1945
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Li, C., Du, X., Kuti, J. L., Nicolau, D. P.
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Rubino, C. M., Capparelli, E. V., Bradley, J. S., Blumer, J. L., Kearns, G. L., Reed, M., Jacobs, R. F., Cirincione, B., Grasela, D. M.
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LaPlante, K. L., Rybak, M. J., Tsuji, B., Lodise, T. P., Kaatz, G. W.
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Koenig, S. M., Truwit, J. D.
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Burkhardt, O., Lehmann, C., Madabushi, R., Kumar, V., Derendorf, H., Welte, T.
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Bakker-Woudenberg, I. A. J. M., ten Kate, M. T., Goessens, W. H. F., Mouton, J. W.
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DeRyke, C. A., Du, X., Nicolau, D. P.
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Griffith, D. C., Corcoran, E., Lofland, D., Lee, A., Cho, D., Lomovskaya, O., Dudley, M. N.
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50: 1628-1632
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Smith, J., Safdar, N., Knasinski, V., Simmons, W., Bhavnani, S. M., Ambrose, P. G., Andes, D.
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50: 1570-1572
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Bhavnani, S. M., Passarell, J. A., Owen, J. S., Loutit, J. S., Porter, S. B., Ambrose, P. G.
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50: 994-1000
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Zelenitsky, S., Ariano, R., Harding, G., Forrest, A.
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49: 4009-4014
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Cazzola, M., Matera, M. G., Donnarumma, G., Tufano, M. A., Sanduzzi, A., Marchetti, F., Blasi, F.
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Booker, B. M., Smith, P. F., Forrest, A., Bullock, J., Kelchlin, P., Bhavnani, S. M., Jones, R. N., Ambrose, P. G.
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49: 1775-1781
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Azoulay-Dupuis, E., Bedos, J. P., Mohler, J., Moine, P., Cherbuliez, C., Peytavin, G., Fantin, B., Kohler, T.
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Capparelli, E. V., Reed, M. D., Bradley, J. S., Kearns, G. L., Jacobs, R. F., Damle, B. D., Blumer, J. L., Grasela, D. M.
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49: 1106-1112
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Van Wart, S., Phillips, L., Ludwig, E. A., Russo, R., Gajjar, D. A., Bello, A., Ambrose, P. G., Costanzo, C., Grasela, T. H., Echols, R., Grasela, D. M.
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48: 4766-4777
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Croisier, D., Etienne, M., Piroth, L., Bergoin, E., Lequeu, C., Portier, H., Chavanet, P.
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Croisier, D., Etienne, M., Bergoin, E., Charles, P.-E., Lequeu, C., Piroth, L., Portier, H., Chavanet, P.
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48: 1699-1707
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Florea, N. R., Tessier, P. R., Zhang, C., Nightingale, C. H., Nicolau, D. P.
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48: 1215-1221
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Capitano, B., Mattoes, H. M., Shore, E., O'Brien, A., Braman, S., Sutherland, C., Nicolau, D. P.
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Morrissey, I., Tillotson, G.
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53: 144-148
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Schentag, J. J, Meagher, A. K, Forrest, A.
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Amsden, G. W, Owens, R. C Jr, Bertino, J. S Jr
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Scaglione, F., Mouton, J. W., Mattina, R., Fraschini, F.
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47: 2749-2755
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Ambrose, P. G., Bhavnani, S. M., Cirincione, B. B., Piedmonte, M., Grasela, T. H.
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52: 435-440
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Nicolau, D. P., Mattoes, H. M., Banevicius, M., Xuan, D., Nightingale, C. H.
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47: 1630-1635
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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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Jones, R. N., Rubino, C. M., Bhavnani, S. M., Ambrose, P. G.
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47: 292-296
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Lister, P. D.
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Croisier, D., Chavanet, P., Lequeu, C., Ahanou, A., Nierlich, A., Neuwirth, C., Piroth, L., Duong, M., Buisson, M., Portier, H.
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Ambrose, P. G., Owens, R. C. Jr, Garvey, M. J., Jones, R. N.
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49: 445-453
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