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Journal of Clinical Microbiology, September 2005, p. 4402-4406, Vol. 43, No. 9
0095-1137/05/$08.00+0 doi:10.1128/JCM.43.9.4402-4406.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Performances of VITEK 2 Colorimetric Cards for Identification of Gram-Positive and Gram-Negative Bacteria
Frédéric Wallet,
Caroline Loïez,
Emilie Renaux,
Nadine Lemaitre, and
René J. Courcol*
Laboratoire de Bactériologie-Hygiène, Centre Hospitalier Universitaire, Lille, France
Received 15 April 2005/
Returned for modification 16 June 2005/
Accepted 22 June 2005

ABSTRACT
The purpose of this study was to evaluate the new VITEK 2 identification
cards
that use colorimetric reading to identify gram-positive and
gram-negative
bacteria (GP and GN cards, respectively) in comparison to
fluorimetric
cards (ID-GPC and ID-GNB, respectively). A total of 580
clinical
isolates and stock collection strains belonging to 116 taxa
were
included in the study. Of the 249 gram-positive strains tested
with
both the ID-GPC and GP cards, 218 (87.5%) and 235 (94.4%) strains
were
correctly identified (to the genus and species level),
respectively.
Of the 331 gram-negative strains tested with the ID-GNB
and
GN cards, 295 (89.1%) and 321 (97%) strains were correctly
identified,
respectively. Another focus of the study was to apply the
percentages
of correct identifications obtained in this study to the
list
of bacteria isolated in our laboratory (32,739 isolates) in
the
year 2004. We obtained 97.9% correct identifications with
the
colorimetric cards and 93.9% with fluorescent
cards.

INTRODUCTION
The correct and rapid identification of gram-negative and gram-positive
bacteria
in clinical microbiology is the first step in the
interpretation
of antimicrobial susceptibility tests for correct
treatment
of patients (
8).
Although the VITEK 2 system (bioMérieux,
Marcy l'Etoile, France)
combined with the ID-GNB and ID-GPC
cards allowed an identification
within 3 h using fluorescence
reading, the weakness of this
system was the breadth of its
identification database, especially for
nonfermenting bacilli,
such as
Pseudomonas spp. and
Acinetobacter, and for gram-positive
cocci, such as
Streptococcaceae
(
2,
5). New cards (GP and GN
cards)
will soon be available that use colorimetric
reading. These
cards are suited to the VITEK 2 system, improving the
identification
of nonfermenting bacteria and gram-positive cocci
(
3,
4). The
aims of this study
were (i) to evaluate the performances of
the new colorimetric cards in
comparison to fluorimetric cards
(ID-GNB, ID-GPC) to identify 580
clinical isolates and stock
collection strains belonging to 116 taxa
and (ii) to determine
the accuracy obtained with both readings by
applying the percentages
of correct identifications obtained in this
study with the colorimetric
and fluorescent cards to the list of
bacteria isolated in our
laboratory in the year
2004.

MATERIALS AND METHODS
Strains.
A total of 580 strains were tested,
consisting of 331 gram-negative
bacilli and 249 gram-positive cocci
belonging to 68 and 48 taxa,
respectively. Clinical isolates were
collected over 6 months
from nonconsecutive patient cultures and
selected either to
obtain around 20 strains of the most frequently
isolated species
or to be in agreement with the distribution of
isolates annually
recovered in the laboratory. In order to have an idea
of the
performance of testing for the most rarely isolated species,
a
panel of 181 microorganisms was selected from the laboratory
stock
collection.
Identification protocol.
All isolates were
cultured onto Columbia agar with 5% horse blood (18 to 24 h
at 35°C) to ensure purity and viability. Stock strains were
subcultured twice. Microorganisms were tested separately
with two VITEK 2 instruments: the first for fluorescence reading, the
second for colorimetric reading. The new VITEK 2 cards and the upgraded
VITEK 2 were previously described
(3). Both systems were
used according to the recommendations of the manufacturer. Bacterial
suspensions were made in 0.45% sodium chloride solution and adjusted to
a McFarland standard of 0.50 to 0.63 by using a Densicheck system
(bioMérieux). Identical inocula of each strain were tested in
parallel using fluorimetric cards (ID-GNB, ID-GPC) and colorimetric
cards (GN, GP) according to the manufacturer's instructions. When the
identification results were different between the fluorimetric and the
colorimetric cards, the strain was retested with the both methods. In
case of persistent discrepancy, the strain was identified with API
strips (ID-32 Staph, Rapid ID-32 Strept, ID-32 E, ID-32 GN, API 20NE;
bioMérieux) to resolve the identity of the strain. When there was
a mismatch between identifications obtained with both the VITEK 2 cards
and the API strips, isolate identification was determined by DNA
sequencing of the 16S rRNA (Microseq 500; Applera, Foster City, Calif.)
(1,
10) and/or sodA
(9), and/or rpoB
(7)
gene.
Quality controls.
Fifteen strains were used as quality
controls every 2 months during the evaluation. For gram-positive
bacteria, the strains were Staphylococcus saprophyticus ATCC
BAA 750, S. aureus subsp. aureus ATCC 29213,
Kocuria kristinae ATCC BAA 752, Listeria
monocytogenes ATCC BAA 751, Streptococcus thermophilus
ATCC 19258 T, S. sciuri ATCC 29061, Enterococcus
casseliflavus ATCC 700327, and S. equi subsp.
zooepidemicus ATCC 43079. For gram-negative quality control,
the strains were Klebsiella oxytoca ATCC 700324,
Acinetobacter baumannii BAA 747, Enterobacter cloacae
ATCC 700323, Ochrobactrum anthropi ATCC BAA 749, Proteus
vulgaris ATCC 6380, Shigella sonnei ATCC 25931, and
Stenotrophomonas maltophilia ATCC 17666. Each quality control
strain was tested with both the VITEK 2 fluorimetric system and the
VITEK 2 colorimetric system.
Data analysis.
Results were
separated into four groups: first-choice identification
(i.e., the determination of the genus-and-species level was the same
with both systems and was given as excellent, very good, good, or
acceptable); low discrimination (the determination resulted in a choice
among two or four species with different values of T indexing needing a
few supplemental procedures such as oxidase, motility, indole,
pigmentation, or hemolysis testing to determine the correct
identification); misidentification (the determination resulted in
incorrect identification); and no identification (the determination
resulted in doubtful, unacceptable, or unreliable identification).
Correct identification was defined as the association of first-choice
identification and low discrimination. Results were expressed in
numbers and percentages.
Two supplemental analyses of the data
were carried out. The first analysis was performed to determine the
levels of accuracy obtained with the two systems by comparing the
bacterial species identified in the year 2004 in our laboratory and
isolated five times or more to the bacterial species tested in the
study. The second analysis was to perform the same evaluation with the
17 gram-negative rods most frequently recovered from blood cultures in
the microbiology laboratories of 33 French university hospitals
(11).

RESULTS AND DISCUSSION
Of the 249 gram-positive strains tested with both
the ID-GPC
and GP cards and the 331 gram-negative strains tested with
both
the ID-GNB and GN cards, 218 (87.5%), 235 (94.4%), 295 (89.1%),
and
321 (97%) were correctly identified (to the genus or species
level),
respectively (Tables
1 and
2). A total of 33 bacteria remained
unidentified with the fluorimetric
cards, whereas the colorimetric
cards did not give an identification
for five strains. Regardless
of their origin (combined stock collection
and clinical isolates),
fermenting gram-negative bacteria were
correctly identified
with both ID-GN and GN cards (97.2% and 98.7%,
respectively).
In contrast, nonfermenting gram-negative bacteria were
better
identified with GN cards (92.1%) than with ID-GN cards (67%).
Gram-positive
bacteria were better identified with colorimetric cards
than
with fluorimetric cards. For
Streptococcaceae, readings
of fluorimetric
and colorimetric cards gave 87.9% and 90.9% correct
identifications,
respectively. For
Micrococcaceae, these
readings were 87.2%
and 98.3%, respectively. Our results obtained with
gram-negative
bacteria were for the most part in agreement with those
reported
by Funke and Funke-Kissling
(
3). Testing 511
fermenting and
144 nonfermenting gram-negative bacilli, these authors
(
3) obtained
slightly
better results with the GN cards than we did in the
present study
(99.5% and 98.7%, respectively). Recently, in
another study focusing on
gram-positive bacteria, Funke and
Funke-Kissling
(
4) obtained correct
identification of
Streptococcaceae (217 strains) and
Micrococcaceae (147 strains) for 99.1% and
99.3% of these
bacteria, respectively, whereas the results were
90.9% and 98.3% in our
study. It should be noticed that the
results reported by Funke and
Funke-Kissling (
3,
4) appeared
better but
that the numbers of taxa tested (13, 18, and 12 for
Micrococcaceae,
Streptococcaceae, and nonfermenting
bacilli, respectively) were
lower than in our study, except for
fermenting bacteria (42
taxa in both studies). In fact, as Funke and
Funke-Kissling
have previously claimed to have done
(
3,
4), we have selected
rare
bacteria isolated in routine practice and some of them,
such as
S.
constellatus or
S. gordonii, while infrequently isolated
in
routine testing, were isolated in large numbers in our
study
(for example, eight strains of
S.
constellatus instead of one
in Funke's study).
The GP and GN
identification cards contain new tests (16 and
21 tests for GP and GN,
respectively) allowing an improvement
of the VITEK 2 databases; in
fact, 57 and 38 new species of
gram-positive cocci and gram-negative
bacilli were added to
the database. Of these, seven gram-positive
species (eight strains)
were tested and only one strain of
Pediococcus pentosaceus was
not correctly identified. Of the
17 new gram-negative species
tested (36 strains), only four species
(four strains) were not
correctly identified:
Bordetella
bronchiseptica,
Pseudomonas alcaligenes,
and P.
putida were misidentified (one strain each),
and one strain of
P. fluorescens was not identified. Thus, the
misidentification
percentages obtained with the colorimetric
cards ranged from 2.1% to
4.8%, results which were slightly
better than those obtained with the
fluorescent cards (5.1%
to 6.8%). These misidentified bacteria were
observed only with
Streptococcus spp. such as
S.
constellatus (three strains) or
S. gordonii (two strains)
or nonfermenting gram-negative bacilli
such as
Acinetobacter
spp. belonging to genomospecies 1, 2,
3, or 13 (
A. calcoaceticus/A.
baumannii complex). Compared to
previous study results
(
2,
5,
6), the database was
enlarged
and improved, especially for nonfermenting bacilli and
Micrococcaceae.
The database was also enlarged to include some
gram-positive
bacilli such as
Erysipelothrix rhusiopathiae and
six species
of the
Listeria genus.
The second aim of
this study was to evaluate the performance of the new colorimetric
cards in routine practice. Thus, we applied the percentages of correct
identifications obtained in this study with the colorimetric and
fluorescent cards to the list of bacteria isolated in our laboratory in
the year 2004. From the species included in the database of the VITEK
2, 71 species were selected, representing 32,739 bacteria isolated five
times or more in 2004. An overall correlation of 97.9% correct
identifications for gram-positive and gram-negative bacteria was
obtained, whereas it was equal to 93.9% with fluorescent cards. The
same determination was performed with a selection of 17 gram-negative
taxa isolated more frequently in 33 French university hospitals
(11). Identification with
colorimetric cards gave an overall identification to the species level
of 99.7%, whereas it was equal to 95.9% with fluorescent
cards.
The VITEK 2 system, equipped for colorimetric reading of
the new GP and GN cards, keeps the advantages of the VITEK 2
(2,
5,
6,
8), i.e., reliable
identification, fully automated incubation and interpretation, and
minimal supplemental testing required. The results provided
by the colorimetric VITEK 2 may be considered accurate due to the
improvement and the extension of its database, mainly for nonfermenting
bacteria and Streptococcaceae. In this study, the
identifications of bacteria were provided between 5.2 h
(fermenting bacteria) and 6.7 h (nonfermenting bacteria),
which was slightly greater than the time required for reading with
fluorescent cards. However, the results were always provided within a
day. In conclusion, the results obtained in this study demonstrate the
good performances of the new VITEK 2 cards, allowing their use in
routine practice with a highly acceptable level of identification
accuracy.

ACKNOWLEDGMENTS
We thank bioMérieux
for kindly providing the VITEK 2
system and Geneviève Bossy and
Marie-Christine Saccomani
for their technical
assistance.

FOOTNOTES
* Corresponding author. Mailing address: Laboratoire de Bactériologie-Hygiène, Hôpital A. Calmette, F-59037 Lille Cedex, France. Phone: 33 320 444 908. Fax: 33 320 444 895. E-mail:
rcourcol{at}chru-lille.fr.


REFERENCES
1 - Fontana,
C., M. Favaro, M. Pelliccioni, E. S. Pistoia, and C.
Favalli. 2005. Use of the MicroSeq 500 16S rRNA
gene-based sequencing for identification of bacterial isolates that
commercial automated systems failed to identify correctly.J. Clin. Microbiol.
43:615-619.[Abstract/Free Full Text]
2 - Funke,
G., D. Monnet, C. deBernardis, A. von Graevenitz, and J. Freney.1998
. Evaluation of the VITEK 2 system for rapid
identification of medically relevant gram-negative rods.J. Clin. Microbiol.
36:1948-1952.[Abstract/Free Full Text]
3 - Funke,
G., and P. Funke-Kissling. 2004. Evaluation of the new
VITEK 2 card for identification of clinically relevant gram-negative
rods. J. Clin. Microbiol.
42:4067-4071.[Abstract/Free Full Text]
4 - Funke,
G., and P. Funke-Kissling. 2005. Performance of the
new VITEK 2 card for identification of medically relevant gram-positive
cocci in a routine clinical laboratory. J. Clin.
Microbiol.
43:84-88.[Abstract/Free Full Text]
5 - Jossart,
M. F., and R. J. Courcol. 1999.
Evaluation of an automated system for identification of
Enterobacteriaceae and nonfermenting bacilli. Eur.
J. Clin. Microbiol. Infect. Dis.
18:902-907.[CrossRef][Medline]
6 - Ling,
T. K. W., P. C. Tam, Z. K. Liu,
and A. F. B. Cheng. 2001.
Evaluation of VITEK 2 rapid identification and susceptibility testing
system against gram-negative clinical isolates. J.
Clin. Microbiol.
39:2964-2966.[Abstract/Free Full Text]
7 - Mollet,
C., M. Drancourt, and D. Raoult. 1997. rpoB
sequence analysis as a novel basis for bacterial identification.Mol. Microbiol.
26:1005-1011.[CrossRef][Medline]
8 - O'Hara,
C. M., M. P. Weinstein, and J. M.
Miller. 2003. Manual and automated systems for
detection and identification of microorganisms, p.185
-207. In P. R.
Murray, E. J. Baron, J. H. Jorgensen, M.
A. Pfaller, and R. H. Yolken (ed.). Manual of clinical
microbiology, 8th ed. American Society for Microbiology,
Washington,
D.C.
9 - Poyart, C.,
G. Quesne, C. Boumaila, and P. Trieu-Cuot. 2001. Rapid
and accurate species-level identification of coagulase-negative
staphylococci by using the sodA gene as a target.J. Clin. Microbiol.
39:4296-4301.[Abstract/Free Full Text]
10 - Rantakokko-Jalava,
K., S. Nikkari, J. Jalava, E. Eerola, M. Skurnik, O. Meurman, O.
Ruuskanen, A. Alanen, E. Kotilainen, P. Toivanen, and P.
Kotilainen. 2000. Direct amplification of rRNA genes
in diagnosis of bacterial infections. J. Clin.
Microbiol.
38:32-39.[Abstract/Free Full Text]
11 - Rot,
P., J. P. Mamet, and V. Goulet. 1990.
Relevé des bactéries isolées dans les
hémocultures en 1987 et 1988. Bulletin
Epidémiologique Hebdomadaire
33:142-143.
Journal of Clinical Microbiology, September 2005, p. 4402-4406, Vol. 43, No. 9
0095-1137/05/$08.00+0 doi:10.1128/JCM.43.9.4402-4406.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
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