Literature DB >> 11136778

Ability of laboratories to detect emerging antimicrobial resistance: proficiency testing and quality control results from the World Health Organization's external quality assurance system for antimicrobial susceptibility testing.

F C Tenover1, M J Mohammed, J Stelling, T O'Brien, R Williams.   

Abstract

The accuracy of antimicrobial susceptibility data submitted by microbiology laboratories to national and international surveillance systems has been debated for a number of years. To assess the accuracy of data submitted to the World Health Organization by users of the WHONET software, the Centers for Disease Control and Prevention distributed six bacterial isolates representing key antimicrobial-resistance phenotypes to approximately 130 laboratories, all but one of which were outside of the United States, for antimicrobial susceptibility testing as part of the World Health Organization's External Quality Assurance System for Antimicrobial Susceptibility Testing. Each laboratory also was asked to submit 10 consecutive quality control values for several key organism-drug combinations. Most laboratories were able to detect methicillin (oxacillin) resistance in Staphylococcus aureus, high-level vancomycin resistance in Enterococcus faecium, and resistance to extended-spectrum cephalosporins in Klebsiella pneumoniae. Many laboratories, particularly those using disk diffusion tests, had difficulty in recognizing reduced susceptibility to penicillin in an isolate of Streptococcus pneumoniae. The most difficult phenotype for laboratories to detect was reduced susceptibility to vancomycin in an isolate of Staphylococcus epidermidis. The proficiency testing challenge also included a request for biochemical identification of a gram-negative bacillus, which most laboratories recognized as Enterobacter cloacae. Although only a small subset of laboratories have submitted their quality control data, it is clear that many of these laboratories generate disk diffusion results for oxacillin when testing S. aureus ATCC 25923 and S. pneumoniae ATCC 49619 that are outside of the acceptable quality control range. The narrow quality control range for vancomycin also proved to be a challenge for many of the laboratories submitting data; approximately 27% of results were out of range. Thus, it is important to establish the proficiency of laboratories submitting data to surveillance systems in which the organisms are tested locally, particularly for penicillin resistance in pneumococci and glycopeptide resistance in staphylococci.

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Year:  2001        PMID: 11136778      PMCID: PMC87709          DOI: 10.1128/JCM.39.1.241-250.2001

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  53 in total

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Journal:  J Clin Microbiol       Date:  1998-09       Impact factor: 5.948

2.  Commentary on the objectives and efficacy of proficiency testing in microbiology.

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Journal:  J Clin Microbiol       Date:  1997-08       Impact factor: 5.948

3.  Antimicrobial resistance in Neisseria gonorrhoeae in the United States, 1988-1994: the emergence of decreased susceptibility to the fluoroquinolones.

Authors:  K K Fox; J S Knapp; K K Holmes; E W Hook; F N Judson; S E Thompson; J A Washington; W L Whittington
Journal:  J Infect Dis       Date:  1997-06       Impact factor: 5.226

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Journal:  Microb Drug Resist       Date:  1997       Impact factor: 3.431

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Authors:  M A Pfaller; R N Jones; G V Doern
Journal:  Diagn Microbiol Infect Dis       Date:  1998-01       Impact factor: 2.803

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Authors:  K Bush; G A Jacoby; A A Medeiros
Journal:  Antimicrob Agents Chemother       Date:  1995-06       Impact factor: 5.191

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Journal:  J Pediatr       Date:  1974-11       Impact factor: 4.406

8.  Antimicrobial susceptibility testing of pneumococci. 2. Determination of optimal disc diffusion test for detection of penicillin G resistance.

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Journal:  J Antimicrob Chemother       Date:  1980-01       Impact factor: 5.790

9.  Detection of penicillin and extended-spectrum cephalosporin resistance among Streptococcus pneumoniae clinical isolates by use of the E test.

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Journal:  J Clin Microbiol       Date:  1994-01       Impact factor: 5.948

10.  Emerging multiply resistant enterococci among clinical isolates. I. Prevalence data from 97 medical center surveillance study in the United States. Enterococcus Study Group.

Authors:  R N Jones; H S Sader; M E Erwin; S C Anderson
Journal:  Diagn Microbiol Infect Dis       Date:  1995-02       Impact factor: 2.803

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  28 in total

Review 1.  Extended-spectrum beta-lactamases in the 21st century: characterization, epidemiology, and detection of this important resistance threat.

Authors:  P A Bradford
Journal:  Clin Microbiol Rev       Date:  2001-10       Impact factor: 26.132

2.  The World Health Organization's External Quality Assurance System Proficiency Testing Program has improved the accuracy of antimicrobial susceptibility testing and reporting among participating laboratories using NCCLS methods.

Authors:  Jasmine M Chaitram; Laura A Jevitt; Sara Lary; Fred C Tenover
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

3.  Intra- and interlaboratory performances of two commercial antimicrobial susceptibility testing methods for bifidobacteria and nonenterococcal lactic acid bacteria.

Authors:  Geert Huys; Klaas D'Haene; Margo Cnockaert; Lorenzo Tosi; Morten Danielsen; Ana Belén Flórez; Jaana Mättö; Lars Axelsson; Jenni Korhonen; Sigrid Mayrhofer; Maria Egervärn; Mauro Giacomini; Peter Vandamme
Journal:  Antimicrob Agents Chemother       Date:  2010-04-12       Impact factor: 5.191

4.  Phenotypic and molecular detection of CTX-M-beta-lactamases produced by Escherichia coli and Klebsiella spp.

Authors:  Johann D D Pitout; Ashfaque Hossain; Nancy D Hanson
Journal:  J Clin Microbiol       Date:  2004-12       Impact factor: 5.948

5.  Systems approach to improving antimicrobial susceptibility testing in clinical laboratories in the United States.

Authors:  Jon M Counts; J Rex Astles; Fred C Tenover; Janet Hindler
Journal:  J Clin Microbiol       Date:  2007-05-23       Impact factor: 5.948

6.  Evolution of an international external quality assurance model to support laboratory investigation of Streptococcus pneumoniae, developed for the SIREVA project in Latin America, from 1993 to 2005.

Authors:  Marguerite Lovgren; James A Talbot; Maria Cristina Brandileone; Silvana T Casagrande; Clara Inés Agudelo; Elizabeth Castañeda; Mabel Regueira; Alejandra Corso; Ingrid Heitmann; Aurora Maldonado; Gabriela Echániz-Avilés; Araceli Soto-Noguerón; María Hortal; Teresa Camou; Jean-Marc Gabastou; José Luis Di Fabio
Journal:  J Clin Microbiol       Date:  2007-08-08       Impact factor: 5.948

7.  VISA, hetero-VISA and VRSA: the end of the vancomycin era?

Authors:  John M Conly; B Lynn Johnston
Journal:  Can J Infect Dis       Date:  2002-09

8.  Standardization of the egg hatch test for the detection of benzimidazole resistance in parasitic nematodes.

Authors:  Georg von Samson-Himmelstjerna; Gerald C Coles; Frank Jackson; Christian Bauer; Fred Borgsteede; Veli Y Cirak; Janina Demeler; Alison Donnan; Pierre Dorny; Christian Epe; Achim Harder; Johan Höglund; Ronald Kaminsky; Dominique Kerboeuf; Ulla Küttler; Elias Papadopoulos; Janez Posedi; John Small; Marián Várady; Jozef Vercruysse; Nicole Wirtherle
Journal:  Parasitol Res       Date:  2009-05-12       Impact factor: 2.289

9.  The International Circumpolar Surveillance interlaboratory quality control program for Streptococcus pneumoniae, 1999 to 2008.

Authors:  A Reasonover; T Zulz; M G Bruce; D Bruden; L Jetté; M Kaltoft; L Lambertsen; A Parkinson; K Rudolph; M Lovgren
Journal:  J Clin Microbiol       Date:  2010-11-03       Impact factor: 5.948

10.  Quality control for beta-lactam susceptibility testing with a well-defined collection of Enterobacteriaceae and Pseudomonas aeruginosa strains in Spain.

Authors:  Rafael Cantón; Elena Loza; María Del Carmen Conejo; Fernando Baquero; Luis Martínez-Martínez
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

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