Literature DB >> 16517904

Accuracy of three automated systems (MicroScan WalkAway, VITEK, and VITEK 2) for susceptibility testing of Pseudomonas aeruginosa against five broad-spectrum beta-lactam agents.

Helio S Sader1, Thomas R Fritsche, Ronald N Jones.   

Abstract

One hundred recent clinical Pseudomonas aeruginosa isolates were used to assess the quantitative (MIC) and qualitative (susceptibility category) accuracies of the MicroScan WalkAway, VITEK, and VITEK 2 automated susceptibility test systems when five-broad spectrum beta-lactams, aztreonam, cefepime, ceftazidime, imipenem, and piperacillin-tazobactam, were tested. Isolates were selected so that the MICs for the isolates overrepresented the MICs near the breakpoints to assess precisely the agreement between the results obtained with the automated systems and the results obtained by the reference tests. The categorical and MIC results from the automated systems were compared to the consensus result of three reference methods: broth microdilution, agar dilution, and disk diffusion. The consensus categorical testing (susceptibility and resistance) rates were 47 and 27%, respectively, for aztreonam; 59 and 14%, respectively, for cefepime; 44 and 43%, respectively, for ceftazidime; 71 and 19%, respectively, for imipenem; and 50 and 50%, respectively, for piperacillin-tazobactam. All systems tested exhibited a high, unacceptable level of very major (false-susceptible) errors for piperacillin-tazobactam (19 to 27%). Major (false-resistant) error rates were generally acceptable (0 to 3%), but minor error rates were elevated (8 to 32%) for cefepime (VITEK 2 and VITEK) and for aztreonam (all three systems), leading to consistent trends toward false resistance. Manufacturer reevaluation of these automated systems for the testing of selected beta-lactams with current clinical isolates of P. aeruginosa that exhibit contemporary resistance mechanisms would be prudent to minimize the potential for serious reporting errors.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16517904      PMCID: PMC1393142          DOI: 10.1128/JCM.44.3.1101-1104.2006

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


  19 in total

1.  Instrumentation in antimicrobial susceptibility testing.

Authors:  D Felmingham; D F Brown
Journal:  J Antimicrob Chemother       Date:  2001-07       Impact factor: 5.790

2.  Comparison of two commercial systems (Vitek and MicroScan-WalkAway) for antimicrobial susceptibility testing of Pseudomonas aeruginosa isolates from cystic fibrosis patients.

Authors:  J L Burns; L Saiman; S Whittier; J Krzewinski; Z Liu; D Larone; S A Marshall; R N Jones
Journal:  Diagn Microbiol Infect Dis       Date:  2001-04       Impact factor: 2.803

3.  Evaluation of the Etest ESBL and the BD Phoenix, VITEK 1, and VITEK 2 automated instruments for detection of extended-spectrum beta-lactamases in multiresistant Escherichia coli and Klebsiella spp.

Authors:  Maurine A Leverstein-van Hall; Ad C Fluit; Armand Paauw; Adrienne T A Box; Sylvain Brisse; Jan Verhoef
Journal:  J Clin Microbiol       Date:  2002-10       Impact factor: 5.948

4.  Interpretive errors using an automated system for the susceptibility testing of imipenem and aztreonam.

Authors:  D J Biedenbach; R N Jones
Journal:  Diagn Microbiol Infect Dis       Date:  1995-01       Impact factor: 2.803

5.  Multicenter laboratory evaluation of the bioMérieux Vitek antimicrobial susceptibility testing system with 11 antimicrobial agents versus members of the family Enterobacteriaceae and Pseudomonas aeruginosa.

Authors:  G V Doern; A B Brueggemann; R Perla; J Daly; D Halkias; R N Jones; M A Saubolle
Journal:  J Clin Microbiol       Date:  1997-08       Impact factor: 5.948

6.  Evaluation of the VITEK 2 system for the identification and susceptibility testing of three species of nonfermenting gram-negative rods frequently isolated from clinical samples.

Authors:  P Joyanes; M del Carmen Conejo; L Martínez-Martínez; E J Perea
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

7.  Method preferences and test accuracy of antimicrobial susceptibility testing: updates from the College of Amercian Pathologists Microbiology Surveys Program.

Authors:  R N Jones
Journal:  Arch Pathol Lab Med       Date:  2001-10       Impact factor: 5.534

8.  Comparison of four antimicrobial susceptibility testing methods to determine the in vitro activities of piperacillin and piperacillin-tazobactam against clinical isolates of Enterobacteriaceae and Pseudomonas aeruginosa.

Authors:  James A Karlowsky; Mellany K Weaver; Clyde Thornsberry; Michael J Dowzicky; Mark E Jones; Daniel F Sahm
Journal:  J Clin Microbiol       Date:  2003-07       Impact factor: 5.948

9.  Assessment of pathogen occurrences and resistance profiles among infected patients in the intensive care unit: report from the SENTRY Antimicrobial Surveillance Program (North America, 2001).

Authors:  Jennifer M Streit; Ronald N Jones; Helio S Sader; Thomas R Fritsche
Journal:  Int J Antimicrob Agents       Date:  2004-08       Impact factor: 5.283

10.  Antimicrobial susceptibility testing of carbapenems: multicenter validity testing and accuracy levels of five antimicrobial test methods for detecting resistance in Enterobacteriaceae and Pseudomonas aeruginosa isolates.

Authors:  Christine D Steward; Jasmine M Mohammed; Jana M Swenson; Sheila A Stocker; Portia P Williams; Robert P Gaynes; John E McGowan; Fred C Tenover
Journal:  J Clin Microbiol       Date:  2003-01       Impact factor: 5.948

View more
  14 in total

1.  Accuracies of beta-lactam susceptibility test results for Pseudomonas aeruginosa with four automated systems (BD Phoenix, MicroScan WalkAway, Vitek, and Vitek 2).

Authors:  Stefan Juretschko; Vincent J Labombardi; Stephen A Lerner; Paul C Schreckenberger
Journal:  J Clin Microbiol       Date:  2007-01-17       Impact factor: 5.948

2.  Performance of Vitek 2 in antimicrobial susceptibility testing of Pseudomonas aeruginosa isolates with different mechanisms of beta-lactam resistance.

Authors:  Annarita Mazzariol; Marco Aldegheri; Marco Ligozzi; Giuliana Lo Cascio; Raffaella Koncan; Roberta Fontana
Journal:  J Clin Microbiol       Date:  2008-04-23       Impact factor: 5.948

3.  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.

Authors:  Ines Otto-Karg; Stefanie Jandl; Tobias Müller; Beate Stirzel; Matthias Frosch; Helge Hebestreit; Marianne Abele-Horn
Journal:  J Clin Microbiol       Date:  2009-08-26       Impact factor: 5.948

4.  Assessment of microbiological diagnostic procedures for respiratory specimens from cystic fibrosis patients in German laboratories by use of a questionnaire.

Authors:  Laura Häfner; Georg Peters; Barbara C Kahl
Journal:  J Clin Microbiol       Date:  2014-01-03       Impact factor: 5.948

5.  Osteomyelitis of the long bones.

Authors:  Jason H Calhoun; M M Manring; Mark Shirtliff
Journal:  Semin Plast Surg       Date:  2009-05       Impact factor: 2.314

6.  Comparison of an automated system with conventional identification and antimicrobial susceptibility testing.

Authors:  Shalini Duggal; Rajni Gaind; Neha Tandon; Manorama Deb; Tulsi Das Chugh
Journal:  ISRN Microbiol       Date:  2012-09-16

7.  Expression of the MexXY-OprM efflux system in Pseudomonas aeruginosa with discordant cefepime/ceftazidime susceptibility profiles.

Authors:  Somvadee Laohavaleeson; Karen Lolans; John P Quinn; Joseph L Kuti; David P Nicolau
Journal:  Infect Drug Resist       Date:  2008-11-23       Impact factor: 4.003

8.  Potential Impact of Flow Cytometry Antimicrobial Susceptibility Testing on the Clinical Management of Gram-Negative Bacteremia Using the FASTinov® Kit.

Authors:  Sofia Costa-de-Oliveira; Rita Teixeira-Santos; Ana P Silva; Elika Pinho; Paulo Mergulhão; Ana Silva-Dias; Nádia Marques; Inês Martins-Oliveira; Acácio G Rodrigues; José A Paiva; Rafael Cantón; Cidália Pina-Vaz
Journal:  Front Microbiol       Date:  2017-12-12       Impact factor: 5.640

9.  Performance of Antipseudomonal β-Lactams on the Accelerate PhenoTest BC Kit against a Collection of Pseudomonas aeruginosa Isolates.

Authors:  Aaron Sikorski; Alena Shamsheyeva; Dulini Gamage; Niels Oppermann; Amira A Bhalodi; Romney M Humphries
Journal:  J Clin Microbiol       Date:  2021-01-21       Impact factor: 5.948

10.  Detecting imipenem resistance in Acinetobacter baumannii by automated systems (BD Phoenix, Microscan WalkAway, Vitek 2); high error rates with Microscan WalkAway.

Authors:  Canan Kulah; Elif Aktas; Fusun Comert; Nagihan Ozlu; Isin Akyar; Handan Ankarali
Journal:  BMC Infect Dis       Date:  2009-03-16       Impact factor: 3.090

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.