baumannii, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia with Vitek Running title: AST of Gram negative non- Enterobacteriaceae

Similar documents
a. 379 laboratories provided quantitative results, e.g (DD method) to 35.4% (MIC method) of all participants; see Table 2.

Detecting / Reporting Resistance in Nonfastidious GNR Part #2. Janet A. Hindler, MCLS MT(ASCP)

Background and Plan of Analysis

THE NAC CHALLENGE PANEL OF ISOLATES FOR VERIFICATION OF ANTIBIOTIC SUSCEPTIBILITY TESTING METHODS

The Basics: Using CLSI Antimicrobial Susceptibility Testing Standards

Antimicrobial Susceptibility Testing: Advanced Course

Intrinsic, implied and default resistance

Educating Clinical and Public Health Laboratories About Antimicrobial Resistance Challenges

Available online at ISSN No:

Antimicrobial Susceptibility Testing: The Basics

Antimicrobial resistance of Escherichia coli urinary isolates in the Veterans Affairs Healthcare. System

European Committee on Antimicrobial Susceptibility Testing

Performance of VITEK 2 for Antimicrobial Susceptibility Testing of Staphylococcus spp.

European Committee on Antimicrobial Susceptibility Testing

PrevalenceofAntimicrobialResistanceamongGramNegativeIsolatesinanAdultIntensiveCareUnitataTertiaryCareCenterinSaudiArabia

What does multiresistance actually mean? Yohei Doi, MD, PhD University of Pittsburgh

EUCAST recommended strains for internal quality control

Performance Information. Vet use only

What s new in EUCAST methods?

Understanding the Hospital Antibiogram

Florida Health Care Association District 2 January 13, 2015 A.C. Burke, MA, CIC

Compliance of manufacturers of AST materials and devices with EUCAST guidelines

Received: February 29, 2008 Revised: July 22, 2008 Accepted: August 4, 2008

Defining Extended Spectrum b-lactamases: Implications of Minimum Inhibitory Concentration- Based Screening Versus Clavulanate Confirmation Testing

Prevalence of Metallo-Beta-Lactamase Producing Pseudomonas aeruginosa and its antibiogram in a tertiary care centre

Update on the CLSI Standards for Antimicrobial Susceptibility Testing: What s New with the Gram Positive Organisms?

Suggestions for appropriate agents to include in routine antimicrobial susceptibility testing

Compliance of manufacturers of AST materials and devices with EUCAST guidelines

APPENDIX III - DOUBLE DISK TEST FOR ESBL

PROTOCOL for serotyping and antimicrobial susceptibility testing of Salmonella test strains

Streptococcus pneumoniae. Oxacillin 1 µg as screen for beta-lactam resistance

Evaluation of the AutoMicrobic System for Susceptibility Testing of Aminoglycosides and Gram-Negative Bacilli

Evaluation of a computerized antimicrobial susceptibility system with bacteria isolated from animals

Short Report. R Boot. Keywords: Bacteria, antimicrobial susceptibility testing, quality, diagnostic laboratories, proficiency testing

GENERAL NOTES: 2016 site of infection type of organism location of the patient

Michael Hombach*, Guido V. Bloemberg and Erik C. Böttger

2012 ANTIBIOGRAM. Central Zone Former DTHR Sites. Department of Pathology and Laboratory Medicine

Routine internal quality control as recommended by EUCAST Version 3.1, valid from

Prevalence and Susceptibility Profiles of Non-Fermentative Gram-Negative Bacilli Infection in Tertiary Care Hospital

EXTENDED-SPECTRUM BETA-LACTAMASE (ESBL) TESTING

UNDERSTANDING YOUR DATA: THE ANTIBIOGRAM

جداول میکروارگانیسم های بیماریزای اولویت دار و آنتی بیوتیک های تعیین شده برای آزمایش تعیین حساسیت ضد میکروبی در برنامه مهار مقاومت میکروبی

2016 Antibiotic Susceptibility Report

ESBL Producers An Increasing Problem: An Overview Of An Underrated Threat

Overnight identification of imipenem-resistant Acinetobacter baumannii carriage in hospitalized patients

Help with moving disc diffusion methods from BSAC to EUCAST. Media BSAC EUCAST

Witchcraft for Gram negatives

on February 12, 2018 by guest

Antibiotic utilization and Pseudomonas aeruginosa resistance in intensive care units

Surveillance for Antimicrobial Resistance and Preparation of an Enhanced Antibiogram at the Local Level. janet hindler

Susceptibility Testing and Resistance Phenotypes Detection in Bacterial Pathogens Using the VITEK 2 System

Original Article. Ratri Hortiwakul, M.Sc.*, Pantip Chayakul, M.D.*, Natnicha Ingviya, B.Sc.**

3/9/15. Disclosures. Salmonella and Fluoroquinolones: Where are we now? Salmonella Current Taxonomy. Salmonella spp.

ESCMID Online Lecture Library. by author

Antimicrobial Stewardship Strategy: Antibiograms

Please distribute a copy of this information to each provider in your organization.

January 2014 Vol. 34 No. 1

MICRONAUT MICRONAUT-S Detection of Resistance Mechanisms. Innovation with Integrity BMD MIC

CONTAGIOUS COMMENTS Department of Epidemiology

Surveillance of Antimicrobial Resistance among Bacterial Pathogens Isolated from Hospitalized Patients at Chiang Mai University Hospital,

Update on Resistance and Epidemiology of Nosocomial Respiratory Pathogens in Asia. Po-Ren Hsueh. National Taiwan University Hospital

crossm Global Assessment of the Activity of Tigecycline against Multidrug-Resistant Gram-negative pathogens between

Appropriate antimicrobial therapy in HAP: What does this mean?

Received 10 November 2006/Returned for modification 9 January 2007/Accepted 17 July 2007

2015 Antimicrobial Susceptibility Report

Antibiotic Reference Laboratory, Institute of Environmental Science and Research Limited (ESR); August 2017

Concise Antibiogram Toolkit Background

on April 8, 2018 by guest

Principles and Practice of Antimicrobial Susceptibility Testing. Microbiology Technical Workshop 25 th September 2013

Antimicrobial susceptibility of clinical isolates from earthquake victims in Wenchuan

Mili Rani Saha and Sanya Tahmina Jhora. Department of Microbiology, Sir Salimullah Medical College, Mitford, Dhaka, Bangladesh

Version 1.01 (01/10/2016)

Outline. Antimicrobial resistance. Antimicrobial resistance in gram negative bacilli. % susceptibility 7/11/2010

CONTAGIOUS COMMENTS Department of Epidemiology

2016 Antibiogram. Central Zone. Alberta Health Services. including. Red Deer Regional Hospital. St. Mary s Hospital, Camrose

2015 Antibiogram. Red Deer Regional Hospital. Central Zone. Alberta Health Services

EDUCATIONAL COMMENTARY CURRENT METHODS IN ANTIMICROBIAL SUSCEPTIBILITY TESTING

Georgios Meletis, Efstathios Oustas, Christina Botziori, Eleni Kakasi, Asimoula Koteli

STAPHYLOCOCCI: KEY AST CHALLENGES

INFECTIOUS DISEASES DIAGNOSTIC LABORATORY NEWSLETTER

Acinetobacter species-associated infections and their antibiotic susceptibility profiles in Malaysia.

STAPHYLOCOCCI: KEY AST CHALLENGES

KJLM. Evaluation of the MicroScan MICroSTREP Plus Antimicrobial Panel for Testing ß-Hemolytic Streptococci and Viridans Group Streptococci

The Very Latest from the CLSI AST Subcommittee.

Antibiotic. Antibiotic Classes, Spectrum of Activity & Antibiotic Reporting

2017 Antibiogram. Central Zone. Alberta Health Services. including. Red Deer Regional Hospital. St. Mary s Hospital, Camrose

January 2014 Vol. 34 No. 1

New Opportunities for Microbiology Labs to Add Value to Antimicrobial Stewardship Programs

Clinical Usefulness of Multi-facility Microbiology Laboratory Database Analysis by WHONET

CONTAGIOUS COMMENTS Department of Epidemiology

Acinetobacter Resistance in Turkish Tertiary Care Hospitals. Zeliha KOCAK TUFAN, MD, Assoc. Prof.

2015 Antibiotic Susceptibility Report

4/3/2017 CLINICAL PEARLS: UPDATES IN THE MANAGEMENT OF NOSOCOMIAL PNEUMONIA DISCLOSURE LEARNING OBJECTIVES

A Multi-Laboratory Study of the BIOMIC Automated Well Reading Instrument versus

Jasmine M. Chaitram, 1,2 * Laura A. Jevitt, 1,2 Sara Lary, 1,2 Fred C. Tenover, 1,2 and The WHO Antimicrobial Resistance Group 3,4

Prevalence of Extended Spectrum Beta- Lactamase Producers among Various Clinical Samples in a Tertiary Care Hospital: Kurnool District, India

Tel: Fax:

EDUCATIONAL COMMENTARY - Methicillin-Resistant Staphylococcus aureus: An Update

Isolation of Urinary Tract Pathogens and Study of their Drug Susceptibility Patterns

Detection of Inducible AmpC β-lactamase-producing Gram-Negative Bacteria in a Teaching Tertiary Care Hospital in North India

Transcription:

JCM Accepted Manuscript Posted Online 23 November 2016 J. Clin. Microbiol. doi:10.1128/jcm.01859-16 Copyright 2016, American Society for Microbiology. All Rights Reserved. 1 2 3 Performance of Vitek 2 for Antimicrobial Susceptibility Testing of Acinetobacter baumannii, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia with Vitek 2 (2009 FDA) and CLSI M100S 26 th edition Breakpoints 4 5 6 7 8 9 10 11 12 13 14 15 April M. Bobenchik 1*, Eszter Deak 1*, Janet A. Hindler 2, Carmen L. Charlton 1*, and Romney M. Humphries 1# 1 Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, 2 UCLA Health System, Los Angeles, CA Running title: AST of Gram negative non- Enterobacteriaceae Correspondent footnote: Romney M. Humphries University of California, Los Angeles 10833 Le Conte Avenue, Brentwood Annex Los Angeles, CA 90095 Mailcode 173216 16 rhumphries@mednet.ucla.edu 17 18 19 *Present address: April M. Bobenchik, Lifespan Academic Medical Center, Providence, RI; Eszter Deak, Kaiser Permanente, Berkeley, CA; Carmen L. Charlton, University of Alberta, Edmonton, AB 1

20 ABSTRACT 21 22 23 24 25 26 27 28 29 30 31 32 33 34 Performance of Vitek 2 AST-GN69 and AST-XN06 cards was compared to Clinical and Laboratory Standards Institute (CLSI) reference broth microdilution (BMD) for 99 isolates of Pseudomonas aeruginosa, 26 Acinetobacter baumannii and 11 Stenotrophomonas maltophilia. In total 15 antimicrobials were evaluated, 11 for P. aeruginosa, 14 for A. baumannii, and 2 for S. maltophilia. Categorical agreement (CA) was assessed using both Vitek 2 breakpoints and 2016 CLSI M100S 26 th edition breakpoints. Essential agreement for P. aeruginosa, A. baumannii, and S. maltophilia was 99.5%, 99.2%, and 100%, respectively. CA for P. aeruginosa, A. baumannii, and S. maltophilia was 94.1%, 92.7%, and 95.5%, respectively by Vitek 2 breakpoints, and 93.4%, 92.3%, and 95.5%, respectively by CLSI breakpoints. Overall, Vitek 2 performance was comparable to BMD using both Vitek 2 breakpoints and 2016 CLSI M100S 26 th edition breakpoints. Improved performance was noted for the reformulated piperacillin-tazobactam and imipenem found on the AST-GN69 card, with no very major or major errors noted when using the CLSI breakpoints. 2

35 INTRODUCTION 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Multidrug-resistance (MDR) among Gram-negative bacteria, which is defined by non-susceptibility (intermediate or resistant) to 1 agent in 3 antimicrobial categories (1), is a significant clinical concern. In the U.S., 12.6% of health-care associated infections (HAIs) caused by Pseudomonas aeruginosa are due to MDR isolates, as are 45.3% of Acinetobacter spp. (2). Infections caused by these MDR organisms are associated with poor clinical outcomes, particularly for patients who are immunocompromised, have prolonged hospitalization in the intensive care unit, or who reside in long-term care facilities (3). The treatment options for MDR infections are limited, making accurate and timely antimicrobial susceptibility testing (AST) critical for patient care. Most U.S. clinical laboratories use commercial, automated systems for AST, including the biomérieux Vitek 2. However, failure of these systems to detect resistance in Gram-negative bacteria, and in particular β-lactam resistance in non-fermenting Gramnegative bacilli such as P. aeruginosa and Acinetobacter baumannii, has been reported by several studies (4-7). In 2010, biomérieux issued a voluntary recall of AST cards containing piperacillin-tazobactam and reformulated piperacillin-tazobactam and imipenem on Vitek 2 cards and revised Vitek 2 software to correct these problems in 2012, but only one published study has independently evaluated the performance of these changes, and this was for the Enterobacteriaceae (8). Additionally, both the Clinical and Laboratory Standards Institute (CLSI) and the U.S. Food and Drug Administration (FDA) have revised breakpoints for several agents commonly tested against Gram-negative bacteria. These changes include revision of the P. aeruginosa breakpoints for imipenem, 3

58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 meropenem, and piperacillin-tazobactam, and revision of the Acinetobacter spp. breakpoints for imipenem and meropenem by one or both of these organizations. CLSI added doripenem breakpoints in 2009 but these remain different than the current FDA doripenem breakpoints. At present, Vitek 2 is only FDA-cleared for use with historical P. aeruginosa and Acinetobacter spp. breakpoints (i.e., 2009 FDA breakpoints, which are the same as those published in the 2009 CLSI M100-S19 standard). Laboratories that use this system out-of-the box thus report MICs using 2009 FDA carbapenem and piperacillin-tazobactam breakpoints for these organisms, which differ from current CLSI and FDA breakpoints (9). Herein, we refer to these historical breakpoints as Vitek 2 breakpoints. Clinical laboratories can manually revise breakpoints applied to MICs obtained on their commercial AST systems, but only after the performance of the system with the revised breakpoints has been verified by the laboratory. Few laboratories have the resources to perform these studies, and limited published data document performance of commercial systems used off-label with revised breakpoints. We evaluated the currently available Vitek 2 AST-GN69 (containing reformulated piperacillin-tazobactam and imipenem, released in 2012) and AST-XN06 cards as compared to a CLSI reference broth microdilution (BMD) method. Fifteen antimicrobials (11 on AST-GN69 and 4 on AST-XN06) were tested between the two cards using contemporary bacterial isolates. 77 MATERIALS AND METHODS 78 79 Bacterial isolates. Ninety-nine P. aeruginosa, 26 A. baumannii and 11 Stenotrophomonas maltophilia were included in this study. These isolates were recovered 4

80 81 from clinical cultures between 2012 and 2013 at our institution. Isolates were selected to represent a variety of resistant phenotypes that cover a wide range of MICs. 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 Prior to testing, frozen isolates were subcultured twice and fresh isolates were subcultured once on tryptic soy agar plates containing 5% sheep blood (BAP, BD Sparks MD). Quality control (QC) strains tested with each run included E. coli ATCC 25922 and P. aeruginosa ATCC 27853. Upon receipt of a new shipment or lot of VITEK 2 cards, the following QC strains were tested: E. coli ATCC 25922, P. aeruginosa ATCC 27853, and E. coli ATCC 35218. K. pneumoniae ATCC 700603 was also tested on AST-GN69 only. Antimicrobial susceptibility testing. Each isolate was tested concurrently by both methods using 3-5 isolated colonies from a single 18-24 h BAP. BMD MIC testing was performed according to CLSI standards, using panels prepared in-house (10). Panels were incubated at 35 C in ambient air and read manually following 16-20 h incubation. Vitek 2 (biomérieux Inc., Durham, NC, USA) testing was performed using software version 5.04 and AST-GN69 and AST-XN06 cards according to the manufacturer s instructions (11, 12). Data analysis. Calculation of essential agreement (EA), categorical agreement (CA), very major (VME), major (ME), and minor (me) errors was done as previously described (13). Vitek 2 MICs were compared to the reference BMD MICs. The EA was defined as an MIC ±1 doubling dilution of the reference BMD MIC. The CA was defined as a susceptible, intermediate, resistant, or nonsusceptible result that was the same with both methods. A VME was defined as a false susceptible result with Vitek 2, whereas a ME 5

102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 was a false resistant or nonsusceptible result. A me was defined as an intermediate result with one method and a susceptible or resistant result with other method. All MICs (obtained by Vitek 2 and BMD) were evaluated two ways: (i) by Vitek 2 breakpoints (applied by the Vitek 2 system software version 5.04) and (ii) by CLSI M100S 26 th edition breakpoints (14). Vitek 2 and CLSI M100S 26 th edition breakpoints differ for doripenem, imipenem, and meropenem for both P. aeruginosa and A. baumannii, and for piperacillin-tazobactam and P. aeruginosa. These breakpoints are listed in Table 1. Discrepant resolution. Isolates with VME or ME were retested in parallel using both methods, as were isolates with growth control failures on Vitek 2 cards. EA, CA, VME, ME, and me were calculated after repeat testing. If an error persisted after repeat testing, it was included in the calculations. If an error resolved after repeat testing, it was not counted as an error and the initial result was disregarded. Isolates that terminated due to failed growth after repeat testing were excluded from the analysis. RESULTS Of 99 P. aeruginosa tested, 8 isolates (8.1%) were eliminated due to repeated growth control failures on the Vitek 2. When MIC results were interpreted using Vitek 2 breakpoints for the remaining 91 P. aeruginosa isolates, initial testing revealed 16 MEs, 4 of which resolved by repeat testing, yielding an overall 99.5% EA, 94.1% CA and 12 MEs and 51 mes (Table 2). Three MEs were for piperacillin-tazobactam susceptible isolates that tested resistant by Vitek 2 and susceptible by BMD (Table 3). All 3 isolates had a BMD of MIC 64 μg/ml and Vitek 2 MIC of 128 μg/ml. The remaining 9 MEs were for doripenem (Table 3). Six of 9 MEs were in isolates with BMD of MIC 2 μg/ml 6

124 and Vitek 2 MIC of 4 μg/ml (i.e., essential agreement), whereas the remaining 3 had 125 BMD MICs >1-log 2 dilution lower than the Vitek 2 MIC. By M100S 26 th edition 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 breakpoints, initial testing revealed 3 MEs. Two MEs corrected upon repeat testing, yielding an overall 93.4 % CA, 1 ME and 67 mes (Table 2). All 3 piperacillintazobactam MEs observed by the Vitek 2 breakpoints were corrected by use of the CLSI M100S 26 th edition breakpoints, and 8 of 9 doripenem MEs changed to mes. However, a significant increase in doripenem mes was observed when applying the M100S 26 th edition breakpoints due to the creation of an intermediate and resistant breakpoint. Twenty doripenem mes (22%) were observed (Table 3), all for isolates with a Vitek 2 MIC that was 1-log 2 dilution higher than the BMD MIC. For A. baumannii, no growth terminations were observed among the 26 isolates tested. Initial testing revealed 6 VMEs and 1 ME by both Vitek 2 and M100S 26 th edition breakpoints. Repeat testing corrected 5 of 6 VMEs and the ME; in all cases the initial BMD result was the source of the error. Overall, 99.2% EA, 92.7% CA, 1 VME and 31 mes were observed by Vitek 2 breakpoints (Table 2). By CLSI M100S 26 th edition breakpoints, there was 1 VME and 33 mes resulting in a CA of 92.3% (Table 2). The 1 VME by both Vitek 2 and CLSI M100S 26 th edition breakpoints was for tobramycin in a meropenem-resistant A. baumannii isolate (Table 4). mes were observed by both Vitek 2 and M100S 26 th edition breakpoints in the β-lactam/β-lactamase inhibitor combinations and the cephems (Table 4). The Vitek 2 MIC was 1-log 2 dilution above the BMD MIC for these mes in all cases, except for ampicillin-sulbactam where the Vitek 2 MIC was 1- log 2 dilution below the BMD MIC. 7

146 147 148 149 Among 11 S. maltophilia evaluated, no growth terminations, VMEs or MEs were observed, resulting in 100% EA, 95.5 % CA and 1 me by both Vitek 2 and M100S 26 th edition breakpoints (Table 2). The sole S. maltophilia error was a me for a levofloxacinresistant isolate that tested 1-log 2 dilution below the BMD MIC by Vitek 2 (Table 5). 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 DISCUSSION Vitek 2 performed well for AST of P. aeruginosa, A. baumannii, and S. maltophilia isolates evaluated in this study. CA using the CLSI M100S 26 th edition breakpoints was slightly lower compared to the Vitek 2 breakpoints. This can be attributed to the creation of intermediate breakpoints for piperacillin-tazobactam and doripenem, which resulted in a higher number of mes. Overall performance was acceptable with EA and CA 90% and run failures <10%. The 8 P. aeruginosa isolates that had repeat growth control failures were all mucoid strains, a known limitation of automated AST systems. Laboratories may consider primary testing of mucoid isolates by disk diffusion, due to this problem. The most notable errors occurred in P. aeruginosa isolates with piperacillin-tazobactam, as has been seen by others (5,7,15,16). Unlike these previous studies that found piperacillin-tazobactam VMEs ranging from 10.2-21.7% (5,7,14), we found 0 VME and only 3 (4.3%) MEs. This improved performance may be attributable to the reformulation of piperacillin-tazobactam on the AST-GN69 cards. These 3 MEs by Vitek 2 breakpoints were for isolates with Vitek 2 MICs one dilution higher than the BMD MIC. By applying the CLSI M100S 26 th edition breakpoints, these 3 MEs became mes. It should be noted that the package insert for Vitek 2 includes a limitation for AST-GN69, requiring performance of an alternative method before reporting a resistant result for piperacillin-tazobactam and P. aeruginosa (11), although 8

169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 we did not note any significant discrepancies for this drug/organism combination in this study. Carbapenem resistance, which is an increasingly common occurrence among clinical isolates of P. aeruginosa and A. baumannii, was detected by Vitek 2 using both M100S 26 th edition and Vitek 2 breakpoints. One exception is doripenem and P. aeruginosa with 16.1% MEs using Vitek 2 breakpoints and 22% mes using M100S 26 th edition breakpoints. Vitek 2 could still be used for doripenem testing, with the knowledge that isolates with intermediate results by the CLSI M100S 26 th edition breakpoints may in fact be susceptible, and alternative testing should be done to confirm susceptibility for these isolates. Limitations of our study include the small number of A. baumannii and S. maltophilia isolates tested, ultimately leading to a >10% me rate for 6 of the 14 antimicrobials tested for A. baumannii and an overall CA of 92.7%. The high percentage of mes can be misleading because of the small number of isolates tested, and caution should be used when interpreting the performance of Vitek 2 for this organism with betalactamase inhibitor combinations and cephems. Particular attention should be paid to ampicillin-sulbactam which consistently showed a Vitek 2 trend towards false susceptible. Further studies with additional contemporary isolates of A. baumannii and S. maltophilia are needed. Of note, biomerieux has yet to seek FDA clearance for updated Acinetobacter spp. breakpoints. However, it is important to note that FDA will only clear susceptibility tests for organisms that are specifically listed as clinically indicated for a given antimicrobial in the prescribing information (17). As such, if biomérieux were to attempt to obtain FDA clearance of updated CLSI/FDA breakpoints for Acinetobacter 9

192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 spp., meropenem would not be cleared by FDA, leaving laboratories with fewer testing options for this organism than are currently available on the system cleared with historical breakpoints. In summary, Vitek 2 performance was satisfactory, compared to BMD, for a collection of contemporary isolates of P. aeruginosa, A. baumannii and S. maltophilia. For laboratories that do not routinely use Vitek 2 for non-fermenting Gram-negative bacillus the previously reported issues with piperacillin-tazobactam and imipenem have appeared to be resolved with the reformulated AST card and upgraded software. Based on our data, we recommend that laboratories play close attention to MICs close to the breakpoints and to monitor performance of their test system against a reference standard. (This work was presented in part at the 113 th General Meeting of the American Society for Microbiology, Denver, CO, 18 to 21 June 2013) ACKNOWLEDGEMENTS This study was funded by biomérieux, Inc. We like to thank Farzaneh Sooudipour, Harshaben Desai, Myra Maldonado, Marissa Carvalho, and Maria Tagarao for their technical assistance. REFERENCES 210 211 212 213 1. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, Harbarth S, Hindler JF, Kahlmeter G, Olsson-Liljequist B, Paterson DL, Rice LB, Stelling J, Stuelens MJ, Vatopoulos A, Weber JT, Monnet DL. 2012. Multidrugresistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert 10

214 215 proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect 18:268-281. 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 2. Weiner LM, Fridkin SK, Aponte-Torres Z, Avery L, Coffin N, Dudeck MA, Edwards JR, Jernigan JA, Konnor R, Soe MM, Peterson K, McDonald LC. 2016.Vital Signs: Preventing Antibiotic-Resistant Infections in Hospitals - United States, 2014. MMWR Morb Mortal Wkly Rep 65:235-241. 3. Mauldin PD, Salgado CD, Hansen IS, Durup DT, Bosso JA. 2010. Attributable hospital cost and length of stay associated with health care-associated infections caused by antibiotic-resistant gram-negative bacteria. Antimicrob Agents Chemother 54(1):109-115. 4. Markelz AE, Mende K, Murray CK, Yu X, Zera WC, Hospenthal DR, Beckius ML, Calvano T, Akers KS. 2011. Carbapenem susceptibility testing errors using three automated systems, disk diffusion, Etest, and broth microdilution and carbapenem resistance genes in isolates of Acinetobacter baumannii-calcoaceticus complex. Antimicrob Agents Chemother 55:4707-4711. 5. Juretschko S, Labombardi VJ, Lerner SA, Schreckenberger PC, Group PAS. 2007. Accuracies of beta-lactam susceptibility test results for Pseudomonas aeruginosa with four automated systems (BD Phoenix, MicroScan WalkAway, Vitek, and Vitek 2). J Clin Microbiol 45:1339-1342. 233 234 6. Kulah C, Aktas E, Comert F, Ozlu N, Akyar I, Ankarali H. 2009. Detecting imipenem resistance in Acinetobacter baumannii by automated systems (BD Phoenix, 11

235 236 Microscan WalkAway, Vitek 2); high error rates with Microscan WalkAway. BMC Infect Dis 9:30. 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 7. Mazzariol A, Aldegheri M, Ligozzi M, Lo Cascio G, Koncan R, Fontana R. 2008. Performance of Vitek 2 in antimicrobial susceptibility testing of Pseudomonas aeruginosa isolates with different mechanisms of beta-lactam resistance. J Clin Microbiol 46:2095-2098 8. Bobenchik AM, Deak E, Hindler JA, Charlton CL, Humphries RM. 2015. Performance of Vitek 2 for antimicrobial susceptibility testing of Enterobacteriaceae with Vitek 2 (2009 FDA) and 2014 CLSI breakpoints. J Clin Microbiol 53:816-823. 9. Clinical and Laboratory Standards Institute. 2009. Performance standards for antimicrobial susceptibility testing; nineteenth informational supplement. CLSI document M100-S19. Clinical Laboratory Standards Institute, Wayne, PA. 10. Clinical and Laboratory Standards Institute. 2012. Methods for dilution antimicrobial susceptibility tests for bacteria that grow aerobically; approved standard - 9 th ed. CLSI document M07-A9. Clinical and Laboratory Standards Institute, Wayne, PA. 11. biomérieux. 2012.VITEK 2 AST-GN69 product information. REV 072012. biomérieux, Inc., Durham, NC. 252 253 12. biomérieux. 2012.VITEK 2 AST-XN06 product information. REV 042012. biomérieux, Inc., Durham, NC. 12

254 255 256 13. Clark RB, Lewinski MA, Loeffelholz MJ, Thibbetts RJ. 2009. Cumitech 31A, Verification and validation of procedures in the clinical mircobilogy laboratory. Coordinating ed, Sharp SE. ASM Press, Washington, DC. 257 258 259 260 261 262 263 264 265 266 267 268 269 14. Clinical and Laboratory Standards Institute. 2016. Performance standards for antimicrobial susceptibility testing; twenty-sixth edition. CLSI supplement M100S. Clinical Laboratory Standards Institute, Wayne, PA. 15. Torres E, Villanueva R, Bou G. 2009. Comparison of different methods of determining beta-lactam susceptibility in clinical strains of Pseudomonas aeruginosa. J Med Microbiol 58(Pt 5):625-629. 16. Otto-Karg I, Jandl S, Müller T, Stirzel B, Frosch M, Hebestreit H, Abele-Horn M. 2009. Validation of Vitek 2 nonfermenting gram-negative cards and Vitek 2 version 4.02 software for identification and antimicrobial susceptibility testing of nonfermenting gram-negative rods from patients with cystic fibrosis. J Clin Microbiol 47:3283-3288. 17. Humphries RM, Hindler JA. 2016. Emerging resistance, new antimicrobial agents but no tests! The challenge of antimicrobial susceptibility testing in the current US regulatory landscape. Cin Infect Dis. 63(1):83-88. 13

270 271 279 280 281 282 283 284 285 Table 1. Vitek 2 and CLSI M100S 26 th edition breakpoints that differ for P. aeruginosa and A. baumannii 272 P. aeruginosa A. baumannii Antimicrobial BP S I R S I 273 R Doripenem V2 2 1 274 CLSI 2 4 8 2 4 8 Imipenem V2 4 8 16 4 8 275 16 CLSI 2 4 8 2 4 8 276 Meropenem V2 4 8 16 4 8 16 CLSI 2 4 8 2 4 277 8 TZP V2 64/4 128 CLSI 16/4 32-64 128/4 278 BP, breakpoint used to interpret MIC results; R, resistant; I, intermediate; S, susceptible; V2, Vitek 2 reported breakpoints; CLSI, M100S 26 th edition breakpoints TZP, piperacillin-tazobactam 14

286 287 Table 2. Overall performance of AST-GN69 and AST-NX06 cards compared to BMD for 91 P. aeruginosa, 26 A. baumannii and 11 S. maltophilia isolates EA CA VME ME me Organism group BP Total a [%] [%] No. [%] No. [%] No. [%] P. aeruginosa V2 1001 99.5 94.1 0 (0) 12 (1.9) 51 (4.6) A. baumannii V2 364 99.2 92.7 1 (7.1) 0 (0) 31 (5.2) S. maltophilia V2 22 100 95.5 0 (0) 0 (0) 1 (4.6) P. aeruginosa CLSI 1001 99.5 93.4 0 (0) 1 (0.12) 67 (6.5) A. baumannii CLSI 364 99.2 92.3 1 (7.1) 0 (0) 33 (5.3) S. maltophilia CLSI 22 100 95.5 0 (0) 0 (0) 1 (4.6) 288 289 BP, breakpoint used to interpret MIC results; EA, essential agreement (MIC ± 1 doubling 290 dilution); CA, categorical agreement; VME, very major error; ME, major error; me, 291 minor error; V2, Vitek 2 breakpoints; CLSI, M100S 26 th edition breakpoints 292 a Total represents the number of isolates tested multiplied by the number of antimicrobials tested Downloaded from http://jcm.asm.org/ on April 7, 2018 by guest 15

293 294 Table 3. Performance of AST-GN69 and AST-NX06 cards compared to BMD for 91 P. aeruginosa No. of Isolates EA CA VME ME me Antimicrobial BP Total R I S No. [%] No. [%] No. [ %] No. [%] No. [%] TZP V2 91 21 0 70 90 (98.9) 88 (96.7) 0 (0) 3 (4.3) 0 (0) CLSI 91 21 11 59 90 (98.9) 86 (94.5) 0 (0) 0 (0) 5 (5.5) Cefepime V2/C 91 14 14 63 91 (100) 81 (89.0) 0 (0) 0 (0) 10 (11.0) Ceftazidime V2/C 91 16 9 66 91 (100) 83 (91.2) 0 (0) 0 (0) 8 (8.8) Doripenem V2 91 35 0 56 88 (96.7) 82 (90.1) 0 (0) 9 (16.1) 0 (0) CLSI 91 22 13 56 88 (96.7) 70 (76.9) 0 (0) 1 (1.8) 20 (22.0) Imipenem V2 91 31 6 54 91 (100) 84 (92.3) 0 (0) 0 (0) 7 (7.7) CLSI 91 37 4 50 91 (100) 88 (96.7) 0 (0) 0 (0) 3 (3.3) Meropenem V2 91 25 10 56 91 (100) 84 (92.3) 0 (0) 0 (0) 7 (7.7) CLSI 91 34 5 52 91 (100) 89 (97.8) 0 (0) 0 (0) 2 (2.2) Amikacin V2/C 91 2 2 87 91 (100) 91 (100) 0 (0) 0 (0) 0 (0) Gentamicin V2/C 91 10 0 81 90 (98.9) 79 (86.8) 0 (0) 0 (0) 12 (13.2) Tobramycin V2/C 91 8 0 83 91 (100) 90 (98.9) 0 (0) 0 (0) 1 (1.1) Ciprofloxacin V2/C 91 23 5 63 91 (100) 88 (96.7) 0 (0) 0 (0) 3 (3.3) Levofloxacin V2/C 91 27 10 54 91 (100) 88 (96.7) 0 (0) 0 (0) 3 (3.3) 295 296 297 298 299 300 301 302 BP, breakpoint used to interpret MIC results; R, resistant; I, intermediate; S, susceptible; EA, essential agreement (MIC ± 1 doubling dilution); CA, categorical agreement; VME, very major error; ME, major error; me, minor error; V2/C, Vitek 2 and CLSI, M100S 26 th edition breakpoints are the same; V2, Vitek 2 reported breakpoints; CLSI, M100S 26 th edition breakpoints, bold font values indicate calculations using these breakpoints; TZP, piperacillin-tazobactam 16

303 304 Table 4. Performance of AST-GN69 and AST-NX06 cards compared to BMD for 26 A. baumannii Antimicrobial No. of Isolates EA CA VME ME me BP Total R I S No. [ %] No. [ %] No. [ %] No. [ %] No. [ %] SAM V2/C 26 7 6 13 26 (100) 18 (69.2) 0 (0) 0 (0) 8 (30.7) TZP V2/C 26 13 2 11 26 (100) 23 (88.5) 0 (0) 0 (0) 3 (11.5) Cefepime V2/C 26 10 4 12 26 (100) 21 (80.8) 0 (0) 0 (0) 5 (19.2) Cefotaxime V2/C 26 14 8 6 26 (100) 23 (88.5) 0 (0) 0 (0) 3 (11.5) Ceftazidime V2/C 26 13 1 12 25 (96.2) 24 (85.7) 0 (0) 0 (0) 4 (15.4) Ceftriaxone V2/C 26 13 7 6 25 (96.2) 20 (76.9) 0 (0) 0 (0) 6 (23.1) Doripenem V2 26 13 0 13 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) CLSI 26 14 0 12 26 (100) 25 (96.2) 0 (0) 0 (0) 1 (3.8) Imipenem V2 26 10 0 16 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) CLSI 26 10 1 15 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) Meropenem V2 26 10 1 15 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) CLSI 26 11 1 14 26 (100) 25 (96.2) 0 (0) 0 (0) 1 (3.8) Gentamicin V2/C 26 11 0 15 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) Tobramycin V2/C 26 10 0 16 25 (96.2) 23 (88.5) 1 (10.0) 0 (0) 2 (7.7) Ciprofloxacin V2/C 26 14 0 12 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) Levofloxacin V2/C 26 14 0 12 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) SXT V2/C 26 13 0 13 26 (100) 26 (100) 0 (0) 0 (0) 0 (0) 305 306 307 308 309 310 BP, breakpoint used to interpret MIC results; R, resistant; I, intermediate; S, susceptible; EA, essential agreement (MIC ± 1 doubling dilution); CA, categorical agreement; VME, very major error; ME, major error; me, minor error; V2/C, Vitek 2 and CLSI, M100S 26 th edition breakpoints are the same; V2, Vitek 2 reported breakpoints; CLSI, M100S 26 th edition breakpoints, bold font values indicate calculations using these breakpoints; 311 312 SAM, ampicillin-sulbactam; TZP, piperacillin-tazobactam; SXT, trimethoprim- sulfamethoxazole 313 314 17

315 316 Table 5. Performance of AST-GN69 and AST-NX06 cards compared to BMD for 11 S. maltophilia Antimicrobial No. of Isolates EA CA VME ME me BP Total R I S No. [ %] No. [ %] No. [ %] No. [%] No. [ %] Levofloxacin V2/C 11 1 0 10 11 (100) 10 (90.9) 0 (0) 0 (0) 1 (9.1) SXT V2/C 11 2 0 9 11 (100) 11 (100) 0 (0) 0 (0) 0 (0) 317 318 319 320 321 322 323 324 BP, breakpoint used to interpret MIC results; R, resistant; I, intermediate; S, susceptible; EA, essential agreement (MIC ± 1 doubling dilution); CA, categorical agreement; VME, very major error; ME, major error; me, minor error; V2/C, Vitek 2 and CLSI, M100S 26 th edition breakpoints are the same; SXT, trimethoprim-sulfamethoxazole Downloaded from http://jcm.asm.org/ on April 7, 2018 by guest 18