0095-1137/83/070128-08$02.00/0
CopyrightC 1983,AmericanSocietyforMicrobiology
Evaluation of the Updated MS-2 Bacterial Identification
System
in
Comparison with the API 20E System
JOSEPHR. DIPERSIO,l*JOHN W. DYKE,2ANDRICHARD D. VANNEST3
DepartmentofClinicalMicrobiology, TheChristHospital, Cincinnati, Ohio452191; Department of Clinical
Microbiology,EdwardW.SparrowHospital, Lansing, Michigan 489092; and Abbott Laboratories, Irving,
Texas760213
Received 5November1982/Accepted6April1983
The recently updated MS-2 Bacterial Identification system software (Abbott
Laboratories, Diagnostic
Division, Irving, Tex.)was compared with the originalMS-2 Bacterial Identification software and the API 20E, using 968 strains of
Enterobacteriaceae. The updated MS-2 software correctly identified 94.4% of the
isolates tested. API 20E and theoriginal MS-2 software correctly identified 91 and
85.3% of the strains, respectively.
MS-2
responses were considered to beequivocal (needing
additionaltestsforverification) if the percent likelihood valueswereless than 80%. The percentage ofequivocal responses was reduced from
6.5% with the original software to 2.2% with the updated software, and the
percentage of incorrect identifications was reduced from 8.2 to 3.4% with the
original
andupdated software,
respectively. Organisms belonging to 25 taxonomicgroups weretested. Direct
comparison
of thetwoMS-2programsshowed that theupdated
MS-2 software increased the identificationaccuracyof Salmonella spp.,Enterobacter
cloacae,
Providencia stuartii, Escherichia coli, Shigella spp.,Klebsiella pneumoniae, Serratia marcescens, Proteus mirabilis, and
Acineto-bacter calcoaceticus. A decrease in accuracy was seen with CitroAcineto-bacterfreundii,
Hafnia alvei, Enterobacteragglomerans, and Yersiniapseudotuberculosis when
the
updated
software was used. The remaining 12 taxonomic groups were notaffected by the software
changes.
Theupdated
MS-2 software appears tosignificantly
improve
the identificationaccuracyof the MS-2 BacterialIdentifica-tion system.
Inthe pastseveralyears, increasedemphasis
has been placed on the rapid identification of
microorganisms recovered from clinical
speci-mens. A number of manual conventional and
manual multitest systems are now available for
identifying various bacterial species faster than
was previously possible. In addition, several
automated instrumentshave been developed for
determining both organism identifications and
antimicrobial susceptibilities within 4 to 5 h.
Vannestand his colleagues (R. D. Vannest, D.
Brunson,M.Cornell, H. Terk, B. Perry, and R.
Wilbom, Abstr.Annu.Meet. Am. Soc.
Microbi-ol. 1979, C(H)86, p. 360) reported preliminary
data on the use of Abbott MS-2 (Abbott
Diag-nostics Division, Abbott Laboratories, Irving,
Tex.) for rapid automated identification of
En-terobacteriaceae. This preliminary report was
subsequently followed by a more detailed
col-laborativestudy byMcCracken et al. (8), which
evaluated the MS-2 Bacterial Identification
(BID) system by using 150 coded unknown
organisms
and 1,154recent clinical isolates. TheMS-2 identified 86% of the isolates correctly
compared with conventional manual tube
meth-ods. Anadditional 8to
9%
of the organismswerecorrectly identified, but with a lower percent
likelihood (less than 80%). These strains
re-quired additional biochemical testing to confirm
thefirst-choice identification.
Thepresentcollaborativereportevaluates the
impact of an expanded data base and related
softwareimprovementson the identification
ac-curacy ofthe MS-2 BID system. The
perform-ance of the MS-2 BID system was also
com-pared with thatofthe API 20E,using the same
organisms.
MATERIALSANDMETHODS
Organisms. Atotal of931 organisms isolated from theMicrobiology Sections of The Christ Hospital and
E. W.Sparrow Hospital were used. The isolates were collected inasequential manner, and minimal attempt
was made to selectively include or exclude specific strains.Inaddition, 37 stockcultures representing less
frequently encountered species were included.
Ap-proximately one-half of the isolates were tested in eachlaboratory, using original MS-2 software, updat-edMS-2software, andAPI20E.
128
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API 20E. The API 20E strips were inoculated as recommended by the manufacturer and then were incubated at 35°C for 20 to 24 h. Organisms were identified by using the current profile index and were placed in the following categories:
(ij
correct identifi-cation (high assurance); (ii) correct identifiidentifi-cation (low selectivity); (iii) no identification (biotype notincluded in profile index);and(iv) misidentification.MS-2 system. The MS-2 BID system was used in accordance with the manufacturer's operationmanual. Briefly, four to five morphologically similarcolonies of a freshclinicalisolate were inoculated into a tube containing 5 ml of sterile deionized water. The tube was mixed to provide a uniform suspension and was adjusted to equal a 0.5 McFarland standard. Then 200 gLlof the adjusted suspension was inoculated into each of the reaction chambers of the BID cartridge. The
cartridges weregently rocked to disperse evenly the
freeze-driedbiochemical substrates. Initial light
trans-mission readings were taken (within 30 min of
car-tridge inoculation) by inserting each carcar-tridge into an MS-2 analysis module equipped with original BID software. Initiallighttransmission readings were also taken in a second analysis module equipped with updated BIDsoftware. After5h ofincubation at 35°C,
cartridgeswereremovedfrom the incubator, and 50 ,ul
of Kovacs reagent was added to the indole test reac-tion chambers.Interpretation of the biochemical tests was obtained by reinserting each cartridge into both
MS-2 analysis modules for final readings. Organism
identification choices and percent likelihood values
were printed by each MS-2 system after finalreadings.
Organismswereplacedin thefollowing categories: (i)
correctidentification (likelihood greater than or equal
to
80%);
(ii)correctidentification(likelihoodless than80o);and(iii) misidentification.
Reference Idendfication. Results obtained with the updated MS-2 software and with the API 20E strips were compared.If the two identifications agreed, then
theresultwastakenasthe referenceidentification. If
the two identifications disagreed or low assurance
identificationswereobtained,the isolateswerefurther
evaluated by using conventional tube biochemical
testing. The final reference identification of these
organisms wasbased upon the evaluation of 32
con-ventionalbiochemical tests and the use ofexpanded
biochemicalchartsfor theidentification of the
Entero-bacteriaceae(2-6).
RESULTS
The identification accuracy of the MS-2 BID
system when tested with either the
original
orthe
updated
databasesoftware
against
968bac-terial
isolates
isshown in Tables1and 2. A totalof25different bacterial
species
wereincluded inthe
study. Except
for 37 stock cultures ofrareisolates, all test
organisms
were obtained fromfresh clinical sources and tested
immediately.
Thedistribution of
species
reflects thefrequen-cy ofisolation
experienced
inmostclinicalmi-crobiology
laboratories.The
updated
MS-2 software was moreaccu-rate than the
original
software inidentifying
several
species (Tables
1 and2).
Notableim-provements in the percentageofcorrect
identifi-cation were seen with Salmonella spp. (77 to
95%),
Enterobacter cloacae (69 to 90%), andProvidencia stuartii (68 to
100%o).
Improvedaccuracy was also observed with Escherichia
coli (96 to 99%), Shigella spp. (92 to 100%),
Klebsiella pneumoniae (94 to 100%), Serratia
marcescens (83 to89%), and Proteus mirabilis
(96 to 98%). Decreased accuracy, however, was
seen with Citrobacter freundii(95 to87%),
En-terobacter agglomerans (88 to 75%), Hafnia
alvei(92 to62%),and Yersinia
pseudotuberculo-sis(100 to67%). The results obtained with API
20E using the same 968 isolates are shown in
Table3.
Incorrect identifications obtained when the
updated MS-2 BID software was used are
de-tailed in Table 4. The biochemical reactions
responsible for misidentificationarealso shown.
A positive interpretation of arabinose caused
four isolatesof S. marcescens to be identified as
Serratia
liquefaciens,
andnegative
ornithinere-actions resulted in three strains of E. cloacae
being misidentifiedasE.agglomerans.Three H.
alveiwerecalledSalmonella enteritidis dueto a
combination of citrate-negative and
malonate-negative
reactions,
and three C.freundii
strainswere incorrectly identified as E. agglomerans
dueto
false-negative
lactose reactions.A comparisonof the overall accuracy of the
MS-2 BID system, using either the original or
theupdated data base softwareversus API20E,
is shown in Table 5. The original and updated
MS-2 programs identified 85.3 and 94.4%,
re-spectively, of
theisolates.
The percentage ofequivocal
(lowlikelihood
or low assurance)identificationswas 6.5% when the original
soft-ware was used and
2.2%
when the updatedsoftware wasused. Thepercentageof incorrect
identifications with the original and updated
programs was 8.2 and 3.4%, respectively. The
API20Esystemcorrectlyidentified 91.0% of the
isolates. Four percent of the strains were
cor-rectly identified butrequiredconfirmatory
test-ing. No identification could be made for 1.6% of
theorganisms, and 3.4%were misidentified.
DISCUSSION
Automatedinstrumentation suchasthe
Auto-Microbic system (Vitek Systems, Inc.,
Hazel-wood, Mo.),theAutobacsystem
(General
Diag-nostics,
Warner-LambertCo.,
MorrisPlains,
N.J.), andtheAbbott MS-2can
identify
variousgram-negative
bacilli within 3 to 8 h(1, 7, 8).
Besides
rapid
identification,
anotherimportant
goal
ofcompanies developing
automated sys-tems is toprovide
an identification accuracycomparable
tothatof conventionalprocedures.
The Abbott MS-2 BID system was first
intro-duced in1980. In the
original
collaborativestudy
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130 DiPERSIO, DYKE, AND VANNEST
TABLE 1. Accuracy of theoriginalMS-2 BIDsoftwarewith 968isolates'
Referenceidentificationb
MS-2identification E. Shi- E. C. C. Ari- Salmo- K. pneu- K. oza- K.rhino- E.aer- E. clo-coli gellaSp. tarda freun-dii diver- zona nella moniae enae sclero-aca-ogenes
sus Sp. Sp. matis oensae
Escherichiacoli 360. . ._ ._ . . .
Shigellasp. 1 12 _ _ _
Edwardsiellatarda _ _ 2 - - -
-Citrobacterfreundii 2 - - 22 - 1 1 - 3
Citrobacterdiversus - _ _ _ 13 - - _ _ 1
Arizona sp. . . 2 1 _-
-Salmonellasp. 4 - .- _ _ 17 _-
-Klebsiella _ _ _ _ _ _ _ 178 - _ - 1
pneumoniae
Klebsiellaozaenae 1 . . . 1 4 - - 1
Klebsiella . . . .._. _2 - -rhinoscleromatis Enterobacter 1 _ . . . . 4 28 -aerogenes Enterobacter 1 1 _ _ - 36 cloacae Hafniaalvei 5. . . . .-4 _ _ _ -Enterobacter 1 3 _ _ _ 6 agglomerans Serratialiquefaciens 1._ _ 3 Serratiamarcescens - _ -Proteusvulgaris _ _ _ _ Proteusmirabilis _ _ _ _ Morganellamorganii - _ _ _ Proteus retigeri _ _ _ _ Providencia _ _ _ _ alcalifaciens Providenciastuartii _ _ _ _ _ Yersinia 1 _ _ _ _ enterocolitica Yersinia _ _ _ _ pseudotuberculosis Acinetobacter _ 1._ _ _ _ calcoaceticus Serratiarubidaea _ _ _. 3 2 - - 1
%Correct 96 92 100 95 93 100 77 94 57 100 100 69 aTistableand Tables 2 and 3 showcomparisonsof each of the three systems tested toconventional results byspecies. Deviationsfrom thediagonallineofcorrelatingresults represent disagreement between the system identificationand theconventionalidentification. bFor adefinition,seethe text. TABLE 2. AccuracyoftheupdatedMS-2BIDsoftware with 968isolatesa Referenceidentification MS-2identification E Shi- E. C. C. Ani- Salmo- Kpneu- K.oza- K. rhino- E.aer- E. clo co geltarda freun- diver- zona nella moniae enae sclero-Slsp tarda dii sus sp. sp. matis ogenes acae E.coli 374 - - - -Shigellasp. - 13. . . - - - - -E.tarda 2 - - - -C.freundii 1- - 20 - - - 1
C.diversus - - - - 13 - - -
-Arizonasp.. . . ..- - 2 -1 - -Salmonellasp. 1 - - - 21
K.pneumoniae - - - 191 - - - 1
K.ozaenae 1 - - - 4 -
-K.rhinoscleromatis - - - -- 2 -
-E.aerogenes - - - 28
-E.cloacae - - - - 1 - - - 47
H.alvei. . .. . .- -- - -E.agglomerans - - - 3 - - - - 2 - - 3
S.liquefaciens. . . -
-S.marcescens.... - - -
-P.
vulgaris....-
- --P.
mirabilis....-
- --M.
morganii....-
- --P.
rettgeri....-
- --P.
alcalifaciens....
- - --P.stuartii....- - -
-Y.
enterocolitica....
- --Y.pseudotuberculosis. .. . - -
-A.
calcoaceticus....
- --S.rubidaea - .-.-.---- -
-%Coffect 99 100 100 87 93 100 95 100 57 100 100 90 a See footnote to Table1.
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MS-2 BACTERIAL IDENTIFICATION SYSTEM 131 TABLE1-Continued
TABLE2-Continued
Reference identification
H E.ag- S. li- S.mar- P P.Mir- M. P P.P.al-P.im Y.en- Y.pseudo- A.cal- No
glom- quefa- ces- mor- reft-
califa-
teroco- tubercu- coace-identifi-'erans ciens cens rganii geri ciens litica losis ticus cation
2 - - - _ _ _ _ _ _
1 41 - _ _ _ _ _
3 - - - 1 -
-- - 1 1 - - - _ _
8 - - - _ _ _ _
- 6 - - _ _ _ _ _ _
-- 7 4 - - - _ _ _ _ _ _
- - - 41 - - - _ _ _ _ _ _ _
----7 -- 2 - _ _
---81 - - -
-- - - 1 200 - - -
-_ _ _ _ - 8 - - -
-_ _ _ - _ - - - 6 - - - -
-- - - 1 - 2 - 19 - - -
-_ _ _ _ _ _ _ _ _ _ 5 _ _ _
-~ ~ _ _ _ _ - - 2 -
-_ _ _ _ _ _ - 8
-- 1 - - - _ _ _ _ _
62 75 88 89 100 98 100 80 100 100 100 67 100
-VOL.
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132 DiPERSIO, DYKE, AND VANNEST
TABLE 3. Accuracyof the 24-h API 20E with968 isolatesa
APIidentification E.coli Shigella sp. E. tarda C.freundii C. diversus Arizona sp. Salmonellasp. K.pneumoniae K.ozaenae K.rhinoscleromatis E.aerogenes E. cloacae H.alvei E. agglomerans S. liquefaciens S.marcescens P.vulgaris P.mirabilis M.morganii P. rettgeri P.alcalifaciens P.stuartii Y.enterocolitica Y.pseudotuberculosis A. calcoaceticus Citrobacter amalonaticus Entericgroup19
Yersiniaruckeri Noidentification %Correct E. coli 371 1 4 99
aSee footnotetoTable1.
Shi-gella sp. 12 1 92 E. tarda 2 100 C. freun-dii 23 100 C. diver-sus 2 9 3 64 Referenceidentification Ari-zona sp. 1 1 50 22 100 1 1 3 2 96
to evaluate the system, McCracken et al. (8)
reported an overall identification accuracy of
94%. Itwasconcluded that the accuracy of the
MS-2systemwassimilartotheaccuracy
report-ed for other commercial identification systems
which are read visually after incubation for 4 h
orovernight. Asignificantpercentage (8.6%) of
the MS-2 responses, however, were equivocal
and therefore required additional testing. Five percent ofthe isolates were misidentified, and
another1% ofstrains couldnotbeidentified.
Continuedroutinelaboratoryuseofthe MS-2
system has allowed the recognition of certain
strains whicharemorelikelytobemisidentified
or to lead toequivocal responses. Some of the
identificationerrors wereduetoalack of
impor-tantbiotypesintheoriginal organism data base.
Inanefforttoimprove theaccuracyof the MS-2
andtoreduce thenumberofequivocal
respons-es, Abbott Laboratories significantly enlarged
itsorganism data base and developed new
soft-warefor the MS-2. The newer software is
cur-rently replacing the older software, which has
been in use since the BID system was first introduced.
The original MS-2 BID software identified
85.3% of the strainscorrectly. Thispercentageis
the same as the percentage reported in the
McCrackenetal. study (8)andprobably reflects
the similar distribution ofspecies included in the
twoinvestigations. The updated MS-2 software
increased the percentage of strains correctly
identified to94.4%. Onlyan additional 2.2% of
thestrainsrequired additional testingtoconfirm
the first-choice MS-2 identification. The
im-proved analytic software also significantly
re-duced thepercentageofincorrectidentifications
(8.2to3.4%). Ithas beensuggested that
equivo-cal responses be excluded when estimating the
accuracy of identificationtest systems, because
equivocal responses are neither accurate nor
inaccurate (1). If this had been done in the
presentstudy, then theaccuracyof theupdated
MS-2 BID system and ofthe API 20E would
3 4 43 0 2 0 28 100 51 1 98
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MS-2 BACTERIAL IDENTIFICATION SYSTEM 133
TABLE 3-Continued Referenceidentification
H. E.ag- S.lique- S. mar- P.vul-
P'
M. P. P.al- P.Stu- Y. en- Y.pseudo- A. cal- Noalvet glom-erans facicns cescens gans mira- mor- rett-
calUfa-
arti teroco- tubercu- coace-identi-bilis ganii geri ciens litica losis ticus fication
- - ~~~64 - - -
--- - ~~~139 - - -
--- - - ~~~~~-77 - - - - -- -
--- - - - ~~~~~520 - - -- -
-62 100 75-- 10 - 9 1 - 1 _
--- - 1 - - - ~~~~~-~~~18 -- -
-62 100 75 85 86 93 100100 100 95 100 100 100
-have been 95.6 and 95.5%, respectively. The
API 20E, however, had almost twice as many
equivocal
responses, and an additional 15bio-types
(1.6%)
could notbe found in thecurrentprofile
index.Theidentification accuracy wasincreased for
9of the 25 taxonomic groups studied with the
updated
MS-2software.
Most of the speciesfound in these ninegroups are
commonly.recov-ered from
clinical
specimens.
Theidentificationaccuracy decreased for only four taxonomic
groups when the new software was used. Inthe
caseofY.
pseudotuberculosis,
onlythreestrainswere included in the study. The identification
accuracy ofthe
remaining
12taxonomicgroupswasunaffectedby the software update.
Misidentifications were still noted for some
species with the updated MS-2 software. Three
lactose-negative strains of C. freundiiwere
mis-identified as E.
agglomerans,
and three strainsofH.alveiwereidentifiedasS. enteritidis dueto
negative citrate and malonate tests. The
inclu-sion of an
H2S
test in the MS-2 battery maypermit
the correct identification of theseorga-nisms. Four isolates
of
S. marcescens wereidentified
asS.liquefaciens
duetofalse-positivearabinose reactions. Arabinose is a
relatively
unstable carbohydrate, and degradation of the
sugar can produce false reactions in most test
systems. In
rapid identification
systemssuchasthe MS-2 BID system,
false-negative reactions
are a
major
concern. The three strains ofE.cloacae identifiedasE.
agglomerans
weremis-identified due tofalse-negative ornithine
decar-boxylasereactions, and the two strains of
Pro-teus rettgeri identified as P. stuartii were
misidentified due to
false-negative
adonitol andmannitol tests. The other
discrepancies
ob-served did not produce consistent error
pat-terns.
In
conclusion,
this collaborativestudy
showed thatthe
updated
MS-2 softwaresignifi-cantly
improved
the identification accuracy of manyofthecommonly
encounteredgram-nega-VOL.18,1983
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134 DiPERSIO, DYKE, AND VANNEST
TABLE 4. Summaryof MS-2discrepancieswithupdatedMS-2BIDsoftware
Referenceidentification Speciesidentification Biochemical test
(no.tested) withMS-2 responsible
E.coli (376) C.freundii(1)
Lysine-S.enteritidis(1)
E.agglomerans (3)
C.freundii(23)
C.diversus (14) E.cloacae (1)
Indole-
Lactose-
Indole-Salmonella sp. (22)
K.ozaenae(7)
E.cloacae (52)
Arizonahinshawii (1)
E.agglomerans (2) S. rubidea (1)
E.agglomerans (3)
K.pneumoniae(1)
C.freundii(1)
E. coli (2) Salmonella sp. (3)
C.freundii(1)
S.rubidaea (1)
K.ozaenae(1)
Lactose'
Citrate-/malonate-Lactose' Adonitol+
Adonitol/ornithine-S.marcescens(46)
P. mirabilis(83)
P.rettgeri(8)
S. liquefaciens(4)
K. ozaenae(1)
M.morganii (1)
P. stuartii (1)
P. stuartiiurea+ (2)
Y.pseudotuberculosis (3) Salmonella sp. (1)
Urea-TABLE 5. Comparativeaccuracyof bacterial identification with 968 isolates
MS-2original MS-2updated API-20E2/82
Identification software software codebook
No. % of total No. % of total No. %of total CorrectID,highassurance 826 85.3 914 94.4 881 91.0 CorrectID,lowselectivitya 63 6.5 21 2.2 39 4.0
IncorrectID 79 8.2 33 3.4 33 3.4
Noidentification 0 0 0 0 15 1.6
aConfirmatory testing suggested.
tive bacilli. Theupdated MS-2 BIDsystem
pro-duced an overalllevel ofaccuracy comparable,
if not slightly superior, to the overnight API
20E, which is currently used in many clinical
laboratories. Ahigh level ofaccuracy, coupled
witha4-to5-hidentification, makes the newer
MS-2 BID system an attractive alternative for
routineuseinclinicalmicrobiology laboratories.
ACKNOWLEDGMENTS
We thank George Maierand Ted Krafczykfor their excel-lent technical assistance.
LITERATURECITED
1. Barry, A.L., T. L. Gavan, P. B. Smith, J. M. Matsen, J.A.Morello,and B. H.Sielaff.1982.Accuracyand preci-sion of the AutobacSystemforrapididentification of
gram-negativebacilli:acollaborative evaluation. J. Clin. Micro-H.alvei(13)
Malonate+
Adonitol-Lactose'
Ornithine-Lysine+
Malonate-E. agglomerans (8)
S.liquefaciens (8)
Arabinose+ Arabinose+
Indole+ Indole+
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biol.15:1111-1119.
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4. Edwards, P. R.,andW. H.Ewing. 1972. Identification of Enterobacteriaceae, 3rd ed. Burgess Publishing Co., Min-neapolis, Minn.
5. Ewing, W. H.1973.Differentiation of Enterobacteriaceae
by biochemical reactions. Center for Disease Control,
Atlanta,Ga.
6. Ewing, W. H., and B. R. Davis. 1970.Media andtestsfor differentiation ofEnterobacteriaceae. U.S. Department of Health, Education and Welfare, National Communicable DiseaseCenter, Atlanta, Ga.
7. Goldstein,J., J. J. Guarneri, P. Deila-Latta, and J. Scherer. 1982. Use of the AutoMicrobic and Enteric-Teksystems for identification of Enterobacteriaceae. J. Clin.Microbiol. 15:654-659.
8. McCracken,A.W., W.J. Martin, L. R. McCarthy, D. A. Schwab,B. H.Cooper,N.G. P.Helgeson, S. Prowant, and J. Robson. 1980.Evaluationof the MS-2systemforrapid
identification of Enterobacteriaceae. J. Clin. Microbiol. 12:684-689.