Literature DB >> 17005752

Two-center collaborative evaluation of performance of the BD phoenix automated microbiology system for identification and antimicrobial susceptibility testing of gram-negative bacteria.

Maria Grazia Menozzi1, Ulrich Eigner, Silvia Covan, Sabina Rossi, Pietro Somenzi, Giuseppe Dettori, Carlo Chezzi, Anne-Marie Fahr.   

Abstract

The performance of the BD Phoenix Automated Microbiology System (BD Diagnostic Systems, Sparks, MD) was assessed for identification (ID) and antimicrobial susceptibility testing (AST) of the majority of clinically encountered bacterial isolates in a European collaborative two-center trial. A total of 494 bacterial isolates including various species of the Enterobacteriaceae and 110 nonfermentative gram-negative bacteria were investigated: of these, 385 were single patient isolates, and 109 were challenge strains tested at one center. The performance of the Phoenix extended-spectrum beta-lactamase (ESBL) test was also evaluated for 203 strains of Escherichia coli, Klebsiella pneumoniae, and Klebsiella oxytoca included in the study. Forty-two antimicrobial drugs were tested, including members of the following drug classes: aminoglycosides, beta-lactam antibiotics, beta-lactam/beta-lactamase inhibitors, carbapenems, cephems, monobactams, folate antagonists, quinolones, and others. Phoenix system ID results were compared to those of the laboratories' routine ID systems (API 20E and API CHE, ATB ID32E, ID32GN, and VITEK 2 [bioMérieux, Marcy l'Etoile, France]); Phoenix AST results were compared to those of frozen standard broth microdilution (SBM) panels according to NCCLS (now CLSI) guidelines (NCCLS document M100-S9, approved standard M7-A4). Discrepant results were repeated in duplicate. Concordant IDs of 98.4 and 99.1% were observed for the Enterobacteriaceae and the nonfermentative group, respectively. For AST results, the overall essential agreement was 94.2%; the category agreement was 97.3%; and the very major error rate, major error rate, and minor error rate were 1.6, 0.6, and 1.9%, respectively. In terms of ESBL detection, Phoenix results were 98.5% concordant with those of the reference system, with 98.0% sensitivity and 98.7% specificity. In conclusion, the Phoenix ID results showed high agreement with results of the systems to which they were being compared: the AST performance was highly equivalent to that of the SBM reference method, and the system proved to be very accurate for the detection of ESBL producers.

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Year:  2006        PMID: 17005752      PMCID: PMC1698323          DOI: 10.1128/JCM.00614-06

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


  29 in total

1.  Interpretative reading: recognizing the unusual and inferring resistance mechanisms from resistance phenotypes.

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2.  Discrepancies and interpretation problems in susceptibility testing of VIM-1-producing Klebsiella pneumoniae isolates.

Authors:  P Giakkoupi; L S Tzouvelekis; G L Daikos; V Miriagou; G Petrikkos; N J Legakis; A C Vatopoulos
Journal:  J Clin Microbiol       Date:  2005-01       Impact factor: 5.948

3.  Evaluation of four commercially available extended-spectrum beta-lactamase phenotypic confirmation tests.

Authors:  Andrea J Linscott; William J Brown
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

4.  Analysis of the comparative workflow and performance characteristics of the VITEK 2 and Phoenix systems.

Authors:  U Eigner; A Schmid; U Wild; D Bertsch; A-M Fahr
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

5.  Description and evaluation of the semiautomated 4-hour ATB 32E method for identification of members of the family Enterobacteriaceae.

Authors:  J Freney; C Herve; M Desmonceaux; F Allard; J M Boeufgras; D Monget; J Fleurette
Journal:  J Clin Microbiol       Date:  1991-01       Impact factor: 5.948

6.  Detection of Pseudomonas aeruginosa producing metallo-beta-lactamases in a large centralized laboratory.

Authors:  Johann D D Pitout; Daniel B Gregson; Laurent Poirel; Jo-Ann McClure; Phillip Le; Deirdre L Church
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

7.  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

8.  Biochemical identification of Citrobacter species defined by DNA hybridization and description of Citrobacter gillenii sp. nov. (formerly Citrobacter genomospecies 10) and Citrobacter murliniae sp. nov. (formerly Citrobacter genomospecies 11).

Authors:  D J Brenner; C M O'Hara; P A Grimont; J M Janda; E Falsen; E Aldova; E Ageron; J Schindler; S L Abbott; A G Steigerwalt
Journal:  J Clin Microbiol       Date:  1999-08       Impact factor: 5.948

9.  Comparison of agar dilution, disk diffusion, MicroScan, and Vitek antimicrobial susceptibility testing methods to broth microdilution for detection of fluoroquinolone-resistant isolates of the family Enterobacteriaceae.

Authors:  C D Steward; S A Stocker; J M Swenson; C M O'Hara; J R Edwards; R P Gaynes; J E McGowan; F C Tenover
Journal:  J Clin Microbiol       Date:  1999-03       Impact factor: 5.948

10.  Classification of citrobacteria by DNA hybridization: designation of Citrobacter farmeri sp. nov., Citrobacter youngae sp. nov., Citrobacter braakii sp. nov., Citrobacter werkmanii sp. nov., Citrobacter sedlakii sp. nov., and three unnamed Citrobacter genomospecies.

Authors:  D J Brenner; P A Grimont; A G Steigerwalt; G R Fanning; E Ageron; C F Riddle
Journal:  Int J Syst Bacteriol       Date:  1993-10
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  11 in total

1.  Extended-spectrum Beta-lactamase detection with different panels for automated susceptibility testing and with a chromogenic medium.

Authors:  J Färber; K-A Moder; F Layer; I Tammer; W König; B König
Journal:  J Clin Microbiol       Date:  2008-09-24       Impact factor: 5.948

2.  Evaluation of three automated systems for susceptibility testing of enterobacteria containing qnrB, qnrS, and/or aac(6')-Ib-cr.

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Journal:  J Clin Microbiol       Date:  2011-07-20       Impact factor: 5.948

3.  Phoenix 100 versus Vitek 2 in the identification of gram-positive and gram-negative bacteria: a comprehensive meta-analysis.

Authors:  Kalliopi-Stavroula Chatzigeorgiou; Theodoros N Sergentanis; Sotirios Tsiodras; Stavros J Hamodrakas; Pantelis G Bagos
Journal:  J Clin Microbiol       Date:  2011-07-13       Impact factor: 5.948

4.  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.

Authors:  Ana Elizabeth Markelz; Katrin Mende; Clinton K Murray; Xin Yu; Wendy C Zera; Duane R Hospenthal; Miriam L Beckius; Tatjana Calvano; Kevin S Akers
Journal:  Antimicrob Agents Chemother       Date:  2011-08-01       Impact factor: 5.191

5.  Osteomyelitis of the long bones.

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Review 6.  Acinetobacter baumannii: emergence of a successful pathogen.

Authors:  Anton Y Peleg; Harald Seifert; David L Paterson
Journal:  Clin Microbiol Rev       Date:  2008-07       Impact factor: 26.132

7.  Direct comparison of the BD phoenix system with the MicroScan WalkAway system for identification and antimicrobial susceptibility testing of Enterobacteriaceae and nonfermentative gram-negative organisms.

Authors:  J W Snyder; G K Munier; C L Johnson
Journal:  J Clin Microbiol       Date:  2008-05-21       Impact factor: 5.948

8.  Aminoglycoside resistance and susceptibility testing errors in Acinetobacter baumannii-calcoaceticus complex.

Authors:  Kevin S Akers; Chris Chaney; Alice Barsoumian; Miriam Beckius; Wendy Zera; Xin Yu; Charles Guymon; Edward F Keen; Brian J Robinson; Katrin Mende; Clinton K Murray
Journal:  J Clin Microbiol       Date:  2010-01-27       Impact factor: 5.948

9.  Antibiotic susceptibility testing of grown blood cultures by combining culture and real-time polymerase chain reaction is rapid and effective.

Authors:  Judith Beuving; Annelies Verbon; Firza A Gronthoud; Ellen E Stobberingh; Petra F G Wolffs
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

10.  Rapid Bacterial Identification, Resistance, Virulence and Type Profiling using Selected Reaction Monitoring Mass Spectrometry.

Authors:  Yannick Charretier; Olivier Dauwalder; Christine Franceschi; Elodie Degout-Charmette; Gilles Zambardi; Tiphaine Cecchini; Chloe Bardet; Xavier Lacoux; Philippe Dufour; Laurent Veron; Hervé Rostaing; Veronique Lanet; Tanguy Fortin; Corinne Beaulieu; Nadine Perrot; Dominique Dechaume; Sylvie Pons; Victoria Girard; Arnaud Salvador; Géraldine Durand; Frédéric Mallard; Alain Theretz; Patrick Broyer; Sonia Chatellier; Gaspard Gervasi; Marc Van Nuenen; Carolyn Ann Roitsch; Alex Van Belkum; Jérôme Lemoine; François Vandenesch; Jean-Philippe Charrier
Journal:  Sci Rep       Date:  2015-09-09       Impact factor: 4.379

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