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Journal of Clinical Microbiology, March 1999, p. 544-547, Vol. 37, No. 3
Hospital Infections Program, Centers for
Disease Control and Prevention, Atlanta, Georgia
30333,1 and
Rollins School of Public
Health, Emory University, Atlanta, Georgia 303222
Received 16 July 1998/Returned for modification 13 October
1998/Accepted 1 December 1998
Fluoroquinolone resistance appears to be increasing in many species
of bacteria, particularly in those causing nosocomial infections. However, the accuracy of some antimicrobial susceptibility testing methods for detecting fluoroquinolone resistance remains uncertain. Therefore, we compared the accuracy of the results of agar
dilution, disk diffusion, MicroScan Walk Away Neg Combo 15 conventional
panels, and Vitek GNS-F7 cards to the accuracy of the results of the
broth microdilution reference method for detection of ciprofloxacin and
ofloxacin resistance in 195 clinical isolates of the family
Enterobacteriaceae collected from six U.S. hospitals for a
national surveillance project (Project ICARE [Intensive Care
Antimicrobial Resistance Epidemiology]). For ciprofloxacin, very major
error rates were 0% (disk diffusion and MicroScan), 0.9% (agar
dilution), and 2.7% (Vitek), while major error rates ranged from 0%
(agar dilution) to 3.7% (MicroScan and Vitek). Minor error rates
ranged from 12.3% (agar dilution) to 20.5% (MicroScan). For
ofloxacin, no very major errors were observed, and major errors were
noted only with MicroScan (3.7% major error rate). Minor error rates
ranged from 8.2% (agar dilution) to 18.5% (Vitek). Minor errors for
all methods were substantially reduced when results with MICs within
±1 dilution of the broth microdilution reference MIC were excluded
from analysis. However, the high number of minor errors by all test
systems remains a concern.
Fluoroquinolones, such as
ciprofloxacin, ofloxacin, and levofloxacin, are commonly used for
treatment of a variety of infectious illnesses (2,
14). Newer fluoroquinolones, including
sparfloxacin, trovafloxacin, and clinafloxacin, promise
even greater activity against a wide variety of pathogens
(5, 24, 25). However, resistance to fluoroquinolones appears
to be increasing in many species of clinically important bacteria,
which may limit the utility of these drugs (1, 3, 8, 18,
26). Mutations in several genetic loci in gram-negative
bacteria, including gyrA, gyrB, parC,
and parE, all are associated with fluoroquinolone resistance (7, 9, 12, 13, 15, 22). Thus, detecting phenotypic resistance to this class of antimicrobial agent is important for guiding therapy. Doern and colleagues reported problems detecting ciprofloxacin resistance with Vitek panels, although corrective action by the manufacturer appears to have resolved the problem (6). However, the accuracy of other
methods of antimicrobial susceptibility testing, such as disk
diffusion, for detecting fluoroquinolone resistance has not
been assessed recently.
From June 1994 to October 1995, 195 clinical isolates of the family
Enterobacteriaceae assessed as intermediate or resistant to
ciprofloxacin and/or ceftazidime were collected from six hospitals in
the United States for phase I of Project ICARE (Intensive Care Antimicrobial Resistance Epidemiology) (19). The majority of these isolates were tested at the hospitals by automated methods. To
assess testing accuracy, the 195 pooled isolates from the family Enterobacteriaceae were used as a challenge panel to
compare fluoroquinolone susceptibilities by agar dilution, disk
diffusion, MicroScan conventional panels, and Vitek cards versus
susceptibility by the broth microdilution reference method. The use of
this predominantly resistant pool of isolates to assess the accuracy of
testing methodologies is advantageous in that it uncovers difficulties
that might go unnoticed with the testing of a large number of highly
susceptible isolates.
Bacterial strains.
A total of 195 isolates from the family
Enterobacteriaceae collected from six U.S. hospitals were
tested for fluoroquinolone resistance (Table
1). Identifications for common organisms
(e.g., Escherichia coli and Klebsiella
pneumoniae) were confirmed by colonial morphology, odor, and spot
tests (11). Identifications for unusual isolates were
confirmed by using reference biochemical tests as performed at the
Centers for Disease Control and Prevention (4, 10).
0095-1137/99/$00.00+0
Comparison of Agar Dilution, Disk Diffusion, MicroScan, and Vitek
Antimicrobial Susceptibility Testing Methods to Broth Microdilution for
Detection of Fluoroquinolone-Resistant Isolates of the Family
Enterobacteriaceae
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ABSTRACT
Top
Abstract
Introduction
Materials and methods
Results
Discussion
References
![]()
INTRODUCTION
Top
Abstract
Introduction
Materials and methods
Results
Discussion
References
![]()
MATERIALS AND METHODS
Top
Abstract
Introduction
Materials and methods
Results
Discussion
References
TABLE 1.
One hundred ninety-five isolates of the family
Enterobacteriaceae from phase I of Project
ICARE (19)
Susceptibility testing methods. Agar dilution, broth microdilution, and disk diffusion were performed as described by the National Committee for Clinical Laboratory Standards (20, 21). MicroScan (Dade Behring, Inc., W. Sacramento, Calif.) and Vitek (bioMérieux Vitek, Inc., Hazelwood, Mo.) susceptibility tests were performed according to the manufacturers' directions. Quality control was performed each day of testing for broth microdilution and agar dilution with Staphylococcus aureus ATCC 29213, Enterococcus faecalis ATCC 29212, and Pseudomonas aeruginosa ATCC 27853. Quality control for disk diffusion testing was also performed each day with S. aureus ATCC 25923, P. aeruginosa ATCC 27853, and E. coli ATCC 25922. Quality control for testing by Vitek and MicroScan was performed before each new lot of cards or panels was used. P. aeruginosa ATCC 27853 and E. coli ATCC 25922 were used for quality control testing for both Vitek and MicroScan. In addition, E. faecalis ATCC 29212 and E. coli ATCC 35218 were used for quality control testing for the MicroScan.
Ciprofloxacin was obtained from Bayer Corporation, Pharmaceutical Division (West Haven, Conn.), and ofloxacin was obtained from Sigma Chemical Co. (St. Louis, Mo.) for use in the agar dilution plates and broth microdilution panels. Stock concentrations of each antimicrobial agent were prepared and frozen in aliquots at
70°C before the study
began. The agar dilution plates were made in-house daily with
previously prepared antimicrobial agent stocks and Mueller-Hinton II
powder (Becton Dickinson Microbiological Systems [BDMS],
Cockeysville, Md.). The broth microdilution plates were prepared
in-house and kept frozen at
70°C until the day of use. Commercially
prepared 150-mm-diameter plates with Mueller-Hinton Agar II (BDMS) and
5-µg ciprofloxacin and 5-µg ofloxacin disks (BDMS) were used for
disk diffusion testing. MicroScan Neg Combo 15 panels and Vitek GNS-F7
cards were selected for this study because they contain both
ciprofloxacin and ofloxacin and are widely used in clinical laboratories.
On each day of testing, 18- to 24-h-old colonies from a plate
inoculated from a single colony were used to prepare the inoculum for
all systems. Broth microdilution plates were inoculated with MIC-2000
disposable inoculators (Dynatech Laboratories, Inc., Chantilly, Va.).
MicroScan software DMS version 20.3 and Vitek software R04.01 and
R05.01 were used during this study. The use of two versions of Vitek
software did not affect the interpretation of fluoroquinolone results.
In addition to the Walk Away automated reading, manual readings were
performed on all MicroScan panels. All tests showing very major errors
and major errors were repeated in duplicate by the test method and the
broth microdilution reference method.
Data analysis.
All data analysis was performed by using The
SAS System for Windows, release 6.12 (SAS Institute, Cary, N.C.). The
resistance breakpoints used in this study were those defined by
National Committee for Clinical Laboratory Standards (Table
2). These breakpoints were used to
calculate very major, major, and minor errors between the
broth microdilution reference method and agar dilution, disk
diffusion, MicroScan, and Vitek results. Very major errors occurred
with organisms for which MICs indicated resistance by broth
microdilution and susceptibility by the test method. Major errors
occurred with organisms for which MICs indicated susceptibility by
broth microdilution and resistance by the test method. Minor errors
occurred with organisms for which MICs indicated intermediate
resistance by broth microdilution or another test method and
susceptibility or resistance by the other method (either broth
microdilution or another test method). Denominators for calculating
error rates, based on broth microdilution results, were as follows: the
number of resistant isolates (very major error rate), the number of
susceptible isolates (major error rate), and the total number of
isolates tested (minor error rate).
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0.05 defined significant associations.
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RESULTS |
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One hundred ninety-five isolates of the family Enterobacteriaceae were tested for resistance to ciprofloxacin and ofloxacin by broth microdilution, agar dilution, disk diffusion, MicroScan conventional panels, and Vitek cards (Table 1). The ranges of MICs tested in each susceptibility category by the various methods are shown in Table 2.
Ciprofloxacin testing.
The error rates for the various test
methods for determining susceptibility to ciprofloxacin compared to
the results for broth microdilution testing are shown in Table
3. The major error rates for agar
dilution, disk diffusion, MicroScan, and Vitek were 0, 1.9, 3.7, and
3.7%, respectively. Upon repeat testing, the disk diffusion and the
two MicroScan major errors resolved; neither Vitek major error
resolved.
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0.5 µg/ml by Vitek, while broth
microdilution showed MICs of 4 µg/ml. One of these isolates also
accounted for the very major error associated with agar dilution
testing, with MICs of 0.5, 1, and 2 µg/ml upon repeat agar dilution testing.
The MICs for 134 (68.7%) of the 195 isolates tested for susceptibility
to ciprofloxacin were the same by agar dilution and broth
microdilution. Discordant results were typically 1 dilution lower by
agar dilution than by broth microdilution (46 of 195; 23.6%). A
Wilcoxon signed-rank test performed on the distribution of MICs by agar
dilution compared to those by broth microdilution showed that the
distribution of ciprofloxacin MICs by agar dilution was significantly
lower than that by broth microdilution (one-tailed P
value = 0.0001). Because limited dilutions were tested by Vitek and MicroScan, similar comparisons could not be determined for these methods.
Ofloxacin testing. The errors for ofloxacin testing are shown in Table 3. There were no very major errors noted in the study. In fact, with two exceptions, only minor errors were observed. The two major errors involved the testing of two K. pneumoniae isolates from the same hospital. Both errors were associated with MicroScan testing, and both were resolved upon repeat testing. Neither isolate produced a major error when tested against ciprofloxacin by MicroScan.
The MICs for 146 (74.9%) of the 195 isolates tested for susceptibility to ofloxacin were the same by agar dilution and broth microdilution. A Wilcoxon signed-rank test comparing the distribution of MICs by agar dilution to that of MICs by broth microdilution showed that the distribution of ofloxacin MICs was not significantly lower by agar dilution than by broth microdilution (one-tailed P value = 0.098).Comparison of ciprofloxacin and ofloxacin data.
Many of the
minor errors observed for both ciprofloxacin and ofloxacin clustered
around the intermediate breakpoints, which consist of only a single MIC
(Table 2). Thus, a change in the MIC for an organism by ±1 dilution
frequently resulted in a minor error. When errors within ±1 dilution
were excluded from the data shown in Table 3, the number of minor
errors dramatically decreased. The adjusted error rates are shown in
Table 4.
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Vitek expert system results. The Vitek results reported in Tables 3 and 4 were based on the actual instrument-reported MICs. However, the Vitek expert system interpretations showed similar results. Prior to repeat testing, the expert system reported 3 (2.7%) very major errors, 2 (3.7%) major errors, and 26 (13.3%) minor errors for ciprofloxacin. For ofloxacin, the expert system reported no very major or major errors and 37 (19.0%) minor errors.
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DISCUSSION |
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Resistance to ciprofloxacin and ofloxacin is emerging in a variety of genera of the family Enterobacteriaceae (1, 3, 18, 26). The automated susceptibility instruments used by most clinical laboratories, MicroScan and Vitek, did not perform well compared to broth microdilution because of the high level of minor errors, although many of the errors were within 1 dilution of the reference value. Manual readings of MicroScan panels, which were typically within ±1 dilution from the instrument readings, did not indicate any systematic errors by this method.
The MicroScan panels and Vitek cards included in the study contained only two or three wells for ciprofloxacin and ofloxacin susceptibility determinations. Because of the small number of wells and the fact that the intermediate range for both antimicrobial agents consists of a single dilution, an error in one well could cause the report to be inaccurate. When errors within ±1 dilution of the broth microdilution reference method were excluded from analysis, most minor errors were eliminated. Many of the minor errors produced by disk diffusion testing were within 3 mm of the broth microdilution interpretive category.
Agar dilution testing performed very well compared to broth microdilution. Fewer errors occurred by agar dilution than by all other susceptibility methods. For both ciprofloxacin and ofloxacin, only eight errors occurred outside ±1 dilution from the reference broth microdilution MICs. Three of these errors (one very major and two minor) were interpretive category errors. Even though the Wilcoxon signed-rank test showed that ciprofloxacin MICs were significantly lower by agar dilution than by broth microdilution, the only result greater than 1 dilution lower was the very major error. The very major error, for an E. cloacae isolate, remained even after repeat testing and may reflect the unique interaction of fluoroquinolones with this isolate.
Within each test method, the agreement between ciprofloxacin and ofloxacin with breakpoint interpretations was very good. Ofloxacin MICs were generally 1 dilution higher than ciprofloxacin MICs for the same organism. However, there was good interpretive agreement because of the different breakpoints for the two agents; the ofloxacin breakpoint is 1 dilution higher than the ciprofloxacin breakpoint.
Only two isolates were associated with very major or major errors in more than one system. One, a K. pneumoniae isolate, produced a major error by both the disk diffusion and MicroScan test methods with ciprofloxacin. The other, an E. cloacae isolate, produced a very major error by both the Vitek and agar dilution test methods with ciprofloxacin. All other very major errors and major errors were noted with different isolates. The mechanisms of resistance in these isolates and in the E. cloacae isolate that produced a very major error by agar dilution testing are under investigation.
The error rates observed in this study are due in part to the selection of organisms, which favors resistant strains and includes many organisms for which ciprofloxacin and ofloxacin MICs are close to the intermediate breakpoint. These organisms challenge the susceptibility test methods to detect intermediate and resistant MICs, highlighting problems with various testing methods that may not be uncovered in a largely susceptible isolate population. The MICs for the strains in this study and the prevalence of resistant strains are likely higher than those for strains commonly encountered in clinical microbiology laboratories at this time. This study demonstrates the need to continuously monitor the susceptibility patterns of various species to fluoroquinolones.
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ACKNOWLEDGMENTS |
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We thank Bertha Hill, Michael Lancaster, Lennox Archibald, and Scott Fridkin for helpful discussions and the Project ICARE phase I hospitals that contributed the clinical isolates used in this study. Phase I of project ICARE was supported in part by grants to the Rollins School of Public Health of Emory University by Zeneca Pharmaceuticals and the National Foundation for Infectious Diseases.
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FOOTNOTES |
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* Corresponding author. Mailing address: Nosocomial Pathogens Laboratory Branch (G08), Centers for Disease Control and Prevention, 1600 Clifton Rd. NE, Atlanta, GA 30333. Phone: (404) 639-2825. Fax: (404) 639-1381. E-mail: cks7{at}cdc.gov.
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