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Vol. 17,

0095-1137/83/060975-06$02.00/0

Single-Strain Regression Analysis for Determination of

Interpretive Breakpoints for Cefoperazone Disk Diffusion

Susceptibility Testing

GORANKRONVALL

Departmentof Medical Microbiology, UniversityofLund, Solvegatan23,Lund, S-223 62,Sweden Received1 November1982/Accepted 17 March 1983

Anovel approach forsetting interpretivebreakpointsindisk diffusionantibiotic

susceptibility testing according todetermined minimum inhibitoryconcentration

(MIC) limits is described, using the method ofsingle-strain regression analysis.

The procedure was tested on reference strains Staphylococcus aureus (ATCC

25923), Streptococcus faecalis (ATCC 29212), Escherichia coli (ATCC 25922),

and Pseudomonas aeruginosa (ATCC 27853), using published results from

cefoperazone disk diffusion experiments. The correlation between logarithm of thediskcontentandinhibitionzonediametersquaredwaslinear,excludingthree

endpoint values. Whenconstants AandBin thenewregressionlineequationwere

calculated for the four strains, all four showed different regression lines. Zone

diameterscorrespondingtovarious MICswerecalculatedforadiskcontentof 75

,ug.The values obtained for the four strainswere20.1, 20.9, 24.9, and 25.8 mm,

respectively, for an MIC of 16

jig/ml,

and 15.7, 15.7, 22.3, and 17.9 mm,

respectively, foran MIC of 64 ,ug/ml. Thefollowing zone diameterbreakpoints

were determined for the "I" (intermediate) category, using a 75-,ug disk: S.

aureus, 18 to 15 mm; S.faecalis, 23 to 13 mm; E. coli, 20 to 17 mm; and P.

aeruginosa, 20to 17 mm.

Interpretive breakpointsfor thesusceptibility categoriesin the disk diffusion methodare

calcu-lated with regression lines obtained from

mini-muminhibitoryconcentration (MIC)

determina-tions of a large number of strains and

correspondingdisk diffusiontestresults(1-6,8,

13, 15, 20, 21, 24, 25). Theuse of the errorrate

bounding method of Metzler and DeHaan (20)

whensetting breakpoints aimsatminimizing the

occurrence ofinterpretive errors. Toobtain an

adequate accuracy with these breakpoints in

individual laboratories, the disk diffusion test

mustbe well standardized. Interlaboratory

vari-ation in inhibition zone diameter results for

controlstrains has been documentedpreviously

(9, 11, 14). Strict standardization togetherwith

regularproficiency testing in the United States

has led to marked improvements (12). Inother

places, however, the situation is still

unsatisfac-tory, requiring further standardization of the

methodoradjustments ofbreakpoints according

to local regression lines. Unavailability of

rec-ommended media might also call for some

meansofdeterminingzonediameterbreakpoints

inindividuallaboratories. Theapparentneed for

asimplifiedmethod forregression line analysis,

both inindividual laboratoriesandfor individual

bacterial species,canbemetby usingamethod

calledsingle-strain regressionanalysis (16). This

technique offersasimple approach for the

calcu-lation of regression line constants and permits

thesetting of interpretive breakpointsaccording

todetermined MIC limits for disk diffusion

sus-ceptibility testing. Thisreport describes the ap-plicationof this method tothedetermination of breakpoints for cefoperazone disk diffusion

tests.

MATERIALS AND METHODS

Susceptibility testresults. The experimental results usedfor the calculations in this paper were obtained fromapublication byThornsberryetal. (24). Data for four of thestrains shown in their Table 3wereused in the present studies: Staphylococcus aureus (ATCC 25923), Streptococcusfaecalis (ATCC 29212), Esche-richia coli(ATCC 25922) and Pseudomonas aerugino-sa(ATCC 27853).

Single-strain regression analysis. The theoretical background and the equations used in single-strain regression analysis have been presented elsewhere (16). The following equation was derived for the calculations:Z2= Alog Q -Alog MIC + B. Inthis

formula, the inhibition zone, Z, is expressed as the diameter inmillimeters, the disk content of antibiotic, Q, in micrograms, and the MIC in micrograms per milliliter (16). Constants A and B depend on several

factors,including the methodological parameters char-acteristic for individual laboratories. Calculation of theseconstants canbe made fromtestresults by using

975

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two or morediskcontentsof antibioticsandreference strains withwell-defined MICs.

Computer calculations. Mathematical and statistical calculations were performed with amicrocomputer, Metric model M85-T (Compucorp series 600, model 655; Scandia Metric AB, Solna, Sweden), witha64 kilobyte randomaccess memoryanda2 x 640 kilo-byte floppy disk. The software was obtained from Bioscand HB,Lund, Sweden.

RESULTS

Linearity of inhibition zone diameters versus disk contents. The equation for single-strain

re-gression analysiscanbeused only on one

condi-tion: the correlation between logQ andZ2has to

be linear(16). In suchcases, the two constants A

and B will also be valid for the correlation

between MIC and antibioticinhibition zone size

in thedisk diffusiontest. Theexperimental data

published by Thornsberryet al. (24) were

there-fore first analyzed for linearity. Fig. 1 shows the

results obtained for the four reference strains

testedwith disks containing from5 to 200pugof

cefoperazone. There was good linearity in all

four cases, with only three end values off the

lines. These three valuesweretherefore

exclud-ed from the calculations. Regression analysis

provided the two constants A and B with the

numerical values shown in Table 1. The slopes

of the curves were similar for the two

gram-positive cocci tested, Streptococcus faecalis and

Staphylococcusaureus.E. coli showed the

low-est values for the slope constant A, where P.

aeruginosashowedthehighest values(Table1). Zone diameter values corresponding to MIC limits. As thecorrelation between thelogarithm

of the diskcontentandZ2wasfoundtobelinear

(Fig. 1), the calculatedconstants AandBfor the

fourspeciestestedwerealso validforthe

corre-lation between log MIC andZ2. The inhibition

zone diameter values corresponding to

recom-mended MIC limits could therefore be

calculat-edforthesefour bacterialspecies (Table 1).The

inhibition zone diameter values corresponding

to16, 32, and 64

jig/ml

areshown inTable 1. The

16-,ug/ml correlates for the two gram-positive

cocciwereslightlylower than 21 mm,being20.1

and 20.9 mm,respectively. E. coli andP. aeru-ginosa gave larger zone diameter values, 24.9 and 25.8 mm, respectively.

Effectsofdifferent diskpotencies on zone

diam-eters. The equation for single reference strain

analysisalsopermitsthecalculationof inhibition

zone diameters for otherMICs and disk

poten-cies. It was therefore possible to analyze the

effects oninhibition zone sizes ofdifferent disk

contents. Figure 2A shows the inhibition zone

diameter values calculatedforanMIClimit of16

,ug/mland thefourbacterialspeciesfor different

disk contents of cefoperazone. The 16-,g/ml

MIC has beenchosen as thelimit for the

suscep-tible category by the National Committee for

Clinical Laboratory Standards (13, 24). With a 50-,ug disk, the zone diametercorrelates for the

twogram-negative specieswereboth around24

mm,andfor thetwogram-negative specieswere

both around 24 mm, and for the two

gram-positive cocci, around 19 mm (Fig. 2A). At a

diskcontentof75 R,g,the zonesizes for thetwo

gram-negative strainswerequite close, whereas

at higher diskcontents theP. aeruginosa strain

gavelargerzones as compared with those ofE.

coli (Fig. 2A). At no disk potency did the

inhibition zone values for all four strains

coin-cide. Amounts of 100 pug or more of

cefopera-zonein the disksresulted in values that were far

apart. Below 10 ,ug, the zone sizes were too

mm2 Pseudeerug.

1200-1100/

-Coll

1000 /

900-6 X /(o)o) S.aurous

800,

E 700_ .2

40

300-

200-

100-(-)

5 1015 30505 100 200 Disk content of Cefoperazone, log,scale FIG. 1. Analysis of linearity for the correlation between thelogarithm ofdisk contents of cefopera-zoneandinhibitionzonediameterssquared,usingdata fromThornsberryetal.(24).Regressionlines obtained by the least-squares method are shown forthe four reference strains: Staphylococcus aureus (ATCC

25923), Streptococcusfaecalis(ATCC 29212),E. coli (ATCC 25922), and P. aeruginosa (ATCC 27853).

Three valuesexcluded inthecalculationsareshownin parentheses.

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REGRESSION 977

TABLE 1. Single-strain regression line constants of reference strainsa

Cefoperazone A B Productmoment CalculatedMICcorrelate(mm)

Strain MIC vau vle coefficient of

(Sg/ml) v value correlation(r) 16 Lg/ml 324g/ml 641Lg/ml

Staphylococcusaureus 1.0 314.2 226.3 1.0 20.9 18.5 15.7

Streptococcusfaecalis 32 262.6 229.2 0.99 20.1 18.1 15.7

E.coli 0.5 204.9 482.9 0.98 24.9 23.6 22.3

P.aeruginosa 4.0 578.5 280.0 1.0 25.8 22.2 17.9

aRegression line constants and zone diameter correlates for MICs were calculated by using

75-j.g

cefoperazonedisksaccordingtodatafromThornsberryetal.(24).Regression analysiswasperformed by using

theleast-squares method. Theproductmomentcoefficient of correlation(r) is shown forregressionlines.

closetothediskdiametertopermita

discrimina-tion between strains with MICs around 16,ug/ml

(Fig. 2A).

Similarcalculations performed for the

64-j.Lg/

ml MIC at different disk contents for the four

strains provided slightly different curves (Fig.

2B). With 50-,ug disks, three zone diameter

valueswerecloseat14 mm,whereastheE. coli

straingave a separatebreakpointof21.5mm.It

was clear from the breakpoint calculations

shown in Fig. 2Bthatdisk contents lower than

50 ,ug did not permit the regular formation of

inhibition zones at an MIC of 64 ,ug/ml. Such

low-contentdisksthereforecannotdiscriminate

properly between strains with MICs around or

above 64 ,.g/ml.

Settingofinterpretive breakpoints.The

inhibi-tion zone correlates of MICs vary with the

bacterial species tested (Table 1). The correct breakpoints, therefore,oughttobespecies

relat-ed,anopinion recently raised in connection with

certaincombinations of bacteria and antibiotics

(10,19).However, MICsforindividualbacterial

speciesoften showalimitedrange,givingriseto relativelyhomogeneous populations. Therefore,

formanycombinations of antibiotics and

bacte-rial species, general breakpoints will

discrimi-natecorrectly between populations belongingto

different susceptibility categories. A

species-related analysis of MICor zonediameter

distri-butions for routine isolates is thusnecessary to

identifythose combinations which require

spe-cies-related breakpoints. Datafrom the studies

by Thornsberryetal. (24)providedinformation

on the distribution of MICs for some of the

strains tested and therefore served the purpose

ofillustratingthe presentmethod. All 49strains

ofStaphylococcus aureusshowedMICs of less

than 16

,ig/ml

and would therefore give

inhibi-tionzonevalueslargerthan 20.9 mm with 75-,ug

disks, according to Table 1. The zone size

between the 16 and 32

jig/ml

correlates might

therefore be chosen as the breakpoint for the

susceptible category for this species, e.g. 19

mm. Among 25 strains of E. coli, one strain

showed an MIC of 16

pug/ml

and one strain

showed an MIC of 32 ,ug/ml, all others having

lower MICs. According to the calculations

shown in Table 1, the susceptible breakpoint

might be set at24mm.

Among 82 strains ofP. aeruginosa, as many

as 72 strains showed an MIC of -16 xg/ml, 7

strains hadanMICof 32,g/ml,and1strain had

an MICof 64,ug/ml. Since these valuesseemed

to cluster around and close to the MIC limit

recommended, <16,ug/ml, astrict adherenceto

the correct species-related breakpoint, (25.8 ±

22.2)/2 = 24mm,would leadto ahigh

percent-age of erroneous interpretations of antibiotic

susceptibility asintermediate for statistical rea-sons.Thedistribution, however,seems to repre-sent a homogeneous population with a mean

MIC of 16 ,ug/ml and with a methodological

variation which givesafew values of 32 ,ug/ml.

Thebreakpoint, therefore,hastobe selectedto

include also these strains in the susceptible (S)

category requiringabreakpointbetween 20 and 22mm,tentatively 21 mm.

Streptococcus faecalis presents a different

problem. Among 10 strains analyzed, 2 strains

showed MICsof16,ug/ml,5strains had MICs of

32 ,ug/ml, and 3 strains had MICs of 64 ,ug/ml.

These strains in this limited MIC range also

seemedtorepresent ahomogeneouspopulation,

takingthe variation ofthe method intoaccount

(±one2-log dilution). Insuchacase,thewhole

populationshould beassignedtothe"I"

(inter-mediate)category, using species-specific

break-points. With an inhibition zone diameter of 18

mm corresponding to the MIC of 32 Lg/ml for thisspecies,anintermediatezoneof 18± 5mm, e.g., 23 to 13 mm,wouldgivethe correct

suscep-tibility designation I to such strains of

Strepto-coccusfaecalis.

Single reference strain analysis in

combina-tion with a limited population analysis of the

four individual bacterial species studied thus

suggests the following breakpoints: 19, 24, 24,

and21 mm asthelower limits forthe Scategory

for Staphylococcus aureus, Streptococcus

fae-calis, E. coli, and P. aeruginosa, respectively.

To minimize the number of different

break-VOL.17,1983

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_ mm 2S

0

20-c

CL

0

00

2

15-._

._

20

X

0 CL

E

.2

20-0

A

c

A

1015 3050 100 200 Diskcontentof Cefoperazone,log, scale

B

5 10 15 30 50 100 200

Disk contentofCefoperazone,log. scale

FIG. 2. Calculated inhibitionzonediameter

corre-latesof MICs of 15,ug/ml (A) and 64 ,ug/ml(B)forthe

four reference strains at various disk potencies of

cefoperazone. Thezonediameterswerecalculated by

theequation for single-strain regression analysis(16).

points, the population analysis can be used to

indicate additional possible changes. For E. coli, the 24-mmvalue might be lowered,for example,

toconformtothe 21-mm limit ofP.aeruginosa. Thebreakpoint for the resistantcategory canbe

set at avalue givinga4-mmindeterminate zone

for all species except Streptococcus faecalis,

which requires a range equal to the methodologi-cal variation of the disk diffusion test. The final breakpoints selected for the S, I, and resistant

(R) categories, respectively, on thebasis of the

data available were: Staphylococcus aureus,

.19, 18 to 15, and <14 mm; Streptococcus

faecalis, .24,23to 13, and.12mm;E. coli and

P. aeruginosa, -21, 20 to17, and <16 mm.

DISCUSSION

Interpretive breakpoints recommended for

disk diffusion antibiotic susceptibility testing to assign bacterial strains to the category S, I, or R are determined in reference laboratories (1-6, 13, 24). Thesebreakpointsarerecommended for

all laboratories, with the requirement that the

standardized procedures for the disk diffusion

testhave to beadheredtostrictly. However,the

referenceregressionlines are notalwaysvalid in

individual laboratories orfor the bacterial

spe-cies tested. The breakpoints, therefore, would have to be determined with laboratory- or

spe-cies-specific regression lines, efforts which are

outside the scope of most laboratoriesthat use conventional methods. The obvious need for a

simple method forsuch calculationscanbemet

bytheprinciple of single-strainregression

analy-sis (16). This methodisbased on amodification

ofthe original equations describing the

forma-tion of inhibiforma-tion zonesinthedisk diffusiontest

(7, 16). The calculation of the regression line

constants requires only one strain with a

well-defined MIC and inhibition zone diameters

ob-tained by using at least two disk potencies. In thepresentinvestigations, this novel methodhas

been usedtostudysomerecently published data

on cefoperazone susceptibilityand the

determi-nation ofinterpretivestandards(24).The

experi-mental data include inhibition zone diameter values forreference strains tested against disk contents ofcefoperazonebetween 5and 200 ,ug. The plot of these values (Fig. 1) showed good

linearity, permitting the use ofsingle-strain

re-gression analysis.

With the adoption of the recommended MIC limitof <16,ug/mlfor the susceptible category,

thecorrespondingzonediameterswere

calculat-edfor thefourreference strains and various disk

potencies (Fig. 2). With a 75-,ug disk, the zone

diameters obtained were 20.1, 20.9, 24.9, and

25.8mm,respectively, asshown inTable1,and

with a30-,ugdisk,the zonediameterswere17.3,

17.7, 23.2, and 20.9 mm, respectively. These

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valuesgiveamuchmoreinformative picture of

theMIC correlatesascompared with the 21-mm

value, using the conventional regression

analy-sis (24). It is apparent that the general

break-point recommendedby theNationalCommittee

for Clinical Laboratory Standards as the lower

limit for the susceptible category, 21 mm, is

more generous with respect to the two gram-negative bacteria thanto the twogram-positive

ones. As far as Staphylococcus aureus is

con-cerned, thepresentstudies have indicated thata

lower limit might be preferred for this species.

Taking MIC distributions into account, the

breakpoints chosenwere18to 15, 23to 13, and

20to17 mmfor theI(intermediate)categoryfor

Staphylococcusaureus, Streptococcusfaecalis,

andthe twogram-negativespecies,respectively.

Tominimizeinterpetive errors whendefining

breakpoints in a reference laboratory, the

so-called error rate bounding method of Metzler

and DeHaan has been widely used (20). This

method aims at minimizing interpretive errors

byanalyzingthefrequencies offalse-susceptible

andfalse-resistant results of disk diffusion tests

inrelationtothe MICsfor strains. The method is

currently used together with conventional

re-gressionanalysis forthedefinition ofzone

diam-eterbreakpoints. Itmight, however, be

mislead-ing incertain instances. First, the method does

nottake intoaccount any variability of the disk

diffusion method between differentlaboratories,

although the National Committee for Clinical

Laboratory Standards gives rather wide limits

for accuracy control. Frequencies of

false-sus-ceptible and false-resistantresultsinareference

laboratorymight thereforenot represent the real

figures in individual laboratories. Second, the

method is often applied to panels of bacteria

which do not represent the bacterial species of

the routine diagnostic service and will,

there-fore, not predict true error rates. Histogram

analysis of inhibition zone diameter values of

bacterial species as described by O'Brien and

co-workers (22, 23) might offera more suitable

method for individual laboratories to identify

combinations of bacteria and antibiotics which

are subjecttopossible interpretive errors.

When the use of zone diameter breakpoints

for the interpretation ofthe susceptibility

cate-gories is considered, the methodological

varia-tion ofthe disk diffusion method mightinfluence

the resultsmarkedly (15, 17). A single bacterial strain willgivearange of zone size values of 6 to 10 mmupon repeated tests. MICs in individual

bacterialspecies showabiological homogeneity

formostantibiotics,ahomogeneitywhich is also

apparent fromhistogram analysis of zone diame-ter values (10, 16-19, 22, 23). Such histograms

show a clustering of inhibition zone diameter values which often corresponds to the

method-ological variation ofa single strain in the disk

diffusionmethod. Instrictlyhomogeneous

popu-lations, all strains have the same MIC (18). In

routine MIC testing, his includes ± one 2-log

step variation. When the MICs of a

homoge-neouspopulationofabacterial speciesareclose

to recommended MIC limits, then interpretive

errors canbe minimized only by using

species-relatedbreakpoints. Forexample,Proteus

mira-biliscanbeaccurately assignedtothe I

(interme-diate)category ofchloramphenicol

susceptibili-ty only when species-specific breakpoints are

used(10). P.aeruginosarequires

species-specif-icbreakpoints when tested against carbenicillin

(19). In my clinical microbiology laboratory,

severalcombinations of antibiotics and bacterial

species thatrequirespecies-specificbreakpoints

have been identified. Such alternative

break-points can be used on aroutine basis with few

difficulties in their practical implementation,

therebyimproving theaccuracyofthe

suscepti-bilityreporting (17).

ACKNOWLEDGMENTS

FigureswerekindlydrawnbyAnn-CathrinePetterssonand photographed byAkeChristensson. The secretarial assistance of Anita Hansson iskindlyacknowledged.

LITERATURECITED

1. Acar, J.F.1980.The discsusceptibility test, p. 24-54.In V. Lorian (ed.), Antibiotics in laboratory medicine. The Williams & WilkinsCo., London.

2. Balows, A.,and T.L.Gavan. 1980.Quality control meth-odsfor in vitro antibiotic susceptibility testing, p. 409-417. In V. Lorian (ed.), Antibiotics in laboratory medi-cine. The Williams & WilkinsCo., London.

3. Barry, A.L., R.N. Jones, C. Thornsberry, and T. L. Gavan. 1982.Azlocillin,aureidopenicillinactiveagainst Pseudomonas aeruginosa: interpretive zone standards andquality control parameters for tests with 75-sLg disks. J.Clin. Microbiol. 16:135-140.

4. Barry, A. L., and C. Thornsberry. 1980. Susceptibility testing: diffusion test procedures, p. 463-474. In E. H. Lennette,A.Balows,W.J.Hausler, Jr., and J.P.Truant (ed.), Manual of clinicalmicrobiology.American Society forMicrobiology, Washington, D.C.

5. Barry, A.L., C. Thornsberry, and R.N. Jones. 1981. Gentamicin and amikacin disk susceptibility tests with Pseudomonas aeruginosa: definition of minimal inhibi-toryconcentration correlates forsusceptible and resistant

categories.J.Clin. Microbiol. 13:1000-1003.

6. Bauer, A.W., W.M.M. Kirby, J. C. Sherris, and M. Turck. 1966. Antibiotic susceptibility testing by a stan-dardizedsingledisc method.Am.J.Clin. Pathol.

45:493-496.

7. Cooper, K. E. 1964. The theory of antibiotic inhibition zones, p. 1-86.In F.Kavanagh (ed.), Analytical microbi-ology.AcademicPress,Inc.,NewYork.

8. Ericsson, H., G.Tunevall, and K. Wickman. 1960. The paper discmethodfor determination of bacterial sensitiv-itytoantibiotics. Relationship between the diameter of the zoneof inhibition andthe minimum inhibitory concen-tration. Scand.J.Clin. Lab. Invest. 12:414-422. 9. Ericsson,H.M.,andJ. C.Sherris.1971.Antibiotic

sensi-tivity testing. Report of an international collaborative study. Acta Pathol. Microbiol. Scand. Sect. B 217(Suppl.):1-90.

10. Furtado, G.L., and A. A. Medeiros. 1980. Single-disk diffusiontesting (Kirby-Bauer) of susceptibility of Proteus

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mirabilis tochloramphenicol:significance of the interme-diate category. J. Clin. Microbiol. 12:550-553. 11. Gavan, T. L., R. N. Jones, A. L. Barry, P. C. Fuchs,

E. H. Gerlach, J. M. Matsen, L. B. Reller, C. Thorns-berry,and L. D. Thrupp. 1981.Quality control limits for ampicillin, carbenicillin, mezlocillin, and piperacillin disk diffusion susceptibility tests: a collaborative study. J. Clin. Microbiol. 14:67-72.

12. Jones, R. N., D. C. Edson, and the CAP Microbiology Resource Committee. 1982. Interlaboratory performance ofdisk agar diffusion and dilution antimicrobial suscepti-bility tests, 1979-1981. Asummary of themicrobiology

portion of the College ofAmerican Pathologists (CAP) surveys. Am. J.Clin. Pathol.78(Suppl):651-658.

13. Jones, R. N., T.L.Gavan, A. L. Barry, C.Thornsberry, and D. L. Gibbs. 1982. Cefoperazonediskdiffusion sus-ceptibility test: confirmation of tentative interpretive cri-teria, Pseudomonas aeruginosacross-resistance, and de-termination ofqualitycontrolperformance limits. J. Clin. Microbiol. 15:777-786.

14. Knowles, R. C., and T. D. Moore. 1979. Quality control of agardiffusion susceptibility tests. Datafrom thequality assuranceservicemicrobiology program of the College of AmericanPathologists. Am. J. Clin. Pathol. 72:365-371. 15. Krasemann, C., and G. Hildenbrand. 1980.Interpretation

of agardiffusiontests.J.Antimicrob. Chemother. 6:181-187.

16. Kronvall, G. 1982.Analysis ofasinglereference strain for determination ofgentamicin regression line constants and inhibition zone diameterbreakpoints in quality control of disk diffusion antibiotic susceptibility testing. J. Clin. Microbiol. 16:784-793.

17. Kronvall, G., and A. Runehagen.1981.Improved antibiot-ic susceptibility testing of bacteriausingspecies-related

SIRinterpretive breakpoints (in Swedish). Lakartidnin-gen 78:3483-3485.

18. Lorian, V., and B. A. Atkinson. 1982. Determination of therange of antibacterialactivity by use of viablecounts. J. Clin. Microbiol. 16:70-76.

19. Matsen, J. M., M. E. Lund, and D.C. Brooker. 1974. Comparison and evaluation of carbenicillin disks in diffu-sion susceptibility testing. Antimicrob. Agents Chemo-ther. 5:599-606.

20. Metzler, C. M., and R. M. DeHaan. 1974. Susceptibility testsof anaerobic bacteria: statistical andclinical consid-erations. J. Infect. Dis. 130:588-594.

21. National Committee for Clinical Laboratory Standards. 1975.Performance standards for antimicrobial disc sus-ceptibility tests. ASM-2. National Committee for Clinical LaboratoryStandards, Villanova, Pa.

22. O'Brien, T. F., R. L. Kent, and A. A. Medeiros. 1969. Computer-generated plots of results of antimicrobial sus-ceptibility tests. J. Am. Med. Assoc. 210:84-92. 23. The International AntibioticResistanceSurveyGroupand

T. F.O'Brien. 1978.Multicentersensitivity studies. Inter-national collaborativeantibioticresistance survey, p. 534-536. In W. Siegenthaler and R. Luthy (ed.), Current chemotherapy. Proceedings of the 10thInternational Con-gress ofChemotherapy, vol. 1. American Society for Microbiology,Washington, D.C.

24. Thornsberry, C.,A. L.Barry,R.N.Jones, C. N. Baker, and R. E. Badal. 1982. Tentativeinterpretive standards foragardisk diffusion antimicrobialsusceptibility testing ofcefoperazone. J. Clin. Microbiol. 15:769-776. 25. Thornsberry, C., T. Gavan, and E.H. Gerlach. 1977.

Cumitech 6, New developments in antimicrobial agent susceptibility testing. Coordinating ed., J. C. Sherris. AmericanSociety forMicrobiology,Washington, D.C.

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