Literature DB >> 8576373

Comparison of MicroScan WalkAway system and Vitek system for identification of gram-negative bacteria.

S Rhoads1, L Marinelli, C A Imperatrice, I Nachamkin.   

Abstract

In a prospective side-by-side comparison conducted from September through November 1994, we compared the MicroScan WalkAway system, a conventional biochemical identification system (Dade MicroScan, Inc., Sacramento, Calif.), with the Vitek system (bioMerieux Vitek, Hazelwood, Mo. [analysis software version AMS-RO8.2] for the identification of gram-negative bacteria. Three-hundred thirty-one nonurine isolates and 493 urine isolates were tested. For nonurinary isolates, there was 91.5% agreement between the two methods. For urinary isolates, there was 97.4% agreement between the two methods. Overall, there was 95% agreement between the two systems. The results suggest that the current version of the MicroScan WalkAway system with conventional panels is essentially comparable to the current Vitek system.

Entities:  

Mesh:

Year:  1995        PMID: 8576373      PMCID: PMC228634          DOI: 10.1128/jcm.33.11.3044-3046.1995

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


  3 in total

Review 1.  Automated systems for identification of microorganisms.

Authors:  C E Stager; J R Davis
Journal:  Clin Microbiol Rev       Date:  1992-07       Impact factor: 26.132

2.  Evaluation of autoscan-4 for identification of members of the family Enterobacteriaceae.

Authors:  F Gavini; M O Husson; D Izard; A Bernigaud; B Quiviger
Journal:  J Clin Microbiol       Date:  1988-08       Impact factor: 5.948

3.  Evaluation of autoSCAN-W/A automated microbiology system for the identification of non-glucose-fermenting gram-negative bacilli.

Authors:  F C Tenover; T S Mizuki; L G Carlson
Journal:  J Clin Microbiol       Date:  1990-07       Impact factor: 5.948

  3 in total
  12 in total

1.  Identification of motile Aeromonas strains with the MicroScan WalkAway system in conjunction with the combo negative type 1S panels.

Authors:  J Vivas; A I Sáa; A Tinajas; L Barbeyto; L A Rodríguez
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

2.  Particular biochemical profiles for enterohemorrhagic Escherichia coli O157:H7 isolates on the ID 32E system.

Authors:  A Leclercq; B Lambert; D Pierard; J Mahillon
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

3.  Ability of the MicroScan rapid gram-negative ID type 3 panel to identify nonenteric glucose-fermenting and nonfermenting gram-negative bacilli.

Authors:  Caroline M O'Hara; J Michael Miller
Journal:  J Clin Microbiol       Date:  2002-10       Impact factor: 5.948

4.  Evaluation of the automated phoenix system for potential routine use in the clinical microbiology laboratory.

Authors:  J-L Donay; D Mathieu; P Fernandes; C Prégermain; P Bruel; A Wargnier; I Casin; F X Weill; P H Lagrange; J L Herrmann
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

5.  Rapid universal identification of bacterial pathogens from clinical cultures by using a novel sloppy molecular beacon melting temperature signature technique.

Authors:  Soumitesh Chakravorty; Bola Aladegbami; Michele Burday; Michael Levi; Salvatore A E Marras; Darshini Shah; Hiyam H El-Hajj; Fred Russell Kramer; David Alland
Journal:  J Clin Microbiol       Date:  2009-11-18       Impact factor: 5.948

6.  Comparison of Vitek GNI and GNI+ cards for identification of gram-negative bacteria.

Authors:  P P Bourbeau; B J Heiter
Journal:  J Clin Microbiol       Date:  1998-09       Impact factor: 5.948

7.  Emerging organisms in a tertiary healthcare set up.

Authors:  Inam Danish Khan; Ajay Kumar Sahni; Reena Bharadwaj; Mahima Lall; A K Jindal; V K Sashindran
Journal:  Med J Armed Forces India       Date:  2013-12-17

8.  Use of biochemical kinetic data to determine strain relatedness among Salmonella enterica subsp. enterica isolates.

Authors:  E de la Torre; M Tello; E M Mateu; E Torre
Journal:  J Clin Microbiol       Date:  2005-11       Impact factor: 5.948

9.  Identification of Hafnia alvei with the MicroScan WalkAway system.

Authors:  L A Rodríguez; J Vivas; C S Gallardo; F Acosta; L Barbeyto; F Real
Journal:  J Clin Microbiol       Date:  1999-12       Impact factor: 5.948

10.  Evaluation of accuracy and repeatability of identification of food-borne pathogens by automated bacterial identification systems.

Authors:  J A Odumeru; M Steele; L Fruhner; C Larkin; J Jiang; E Mann; W B McNab
Journal:  J Clin Microbiol       Date:  1999-04       Impact factor: 5.948

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