Literature DB >> 7040451

Evaluation of the AutoMicrobic system for identification of glucose-nonfermenting gram-negative rods.

S M Smith, K R Cundy, G L Gilardi, W Wong.   

Abstract

With the Enterobacteriaceae Plus Biochemical Card, the AutoMicrobic system (Vitek Systems, Inc., Hazelwood, Mo.) is purported to identify members of the family Enterobacteriaceae and seven species of glucose-nonfermenting gram-negative rods: Pseudomonas aeruginosa, P. fluorescens, P. putida, P. maltophilia, P. cepacia, and Acinetobacter calcoaceticus (saccharolytic and non-saccharolytic). The latter capability was examined in this investigation. Of 410 glucose-nonfermenting rods included in the identification profile, the AutoMicrobic system correctly identified 366 (89.3%). Of 62 glucose-nonfermenting organisms not included in the identification profile, 41 (66%) were correctly reported as "unidentified organism." The usefulness of the AutoMicrobic system-generated identification probability in establishing criteria for acceptance of identification is discussed.

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Year:  1982        PMID: 7040451      PMCID: PMC272081          DOI: 10.1128/jcm.15.2.302-307.1982

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


  16 in total

1.  The Automicrobic System for urines.

Authors:  D P Nicholson; J A Koepke
Journal:  J Clin Microbiol       Date:  1979-12       Impact factor: 5.948

2.  Clinical laboratory evaluation of automated microbial detection/identification system in analysis of clinical urine specimens.

Authors:  H D Isenberg; T L Gavan; A Sonnenwirth; W I Taylor; J A Washington
Journal:  J Clin Microbiol       Date:  1979-08       Impact factor: 5.948

3.  Nonfermentative bacilli: evaluation of three systems for identification.

Authors:  L A Otto; U Blachman
Journal:  J Clin Microbiol       Date:  1979-08       Impact factor: 5.948

4.  Comparison of the API 20E and Corning N/F systems for identification of nonfermentative gram-negative rods.

Authors:  N M Warwood; D J Blazevic; L Hofherr
Journal:  J Clin Microbiol       Date:  1979-08       Impact factor: 5.948

5.  Evaluation of the API 20E system for identification of nonfermentative Gram-negative bacteria.

Authors:  M Shayegani; P S Maupin; D M McGlynn
Journal:  J Clin Microbiol       Date:  1978-06       Impact factor: 5.948

6.  Evaluation of the Oxi/Ferm tube system for identification of nonfermentative Gram-negative bacilli.

Authors:  M Shayegani; A M Lee; D M McLynn
Journal:  J Clin Microbiol       Date:  1978-06       Impact factor: 5.948

7.  Evaluation of two rapid methods for identification of commonly encountered nonfermenting or oxidase-positive, Gram-negative rods.

Authors:  H Dowda
Journal:  J Clin Microbiol       Date:  1977-12       Impact factor: 5.948

8.  Multi-laboratory evaluation of an automated microbial detection/identification system.

Authors:  P B Smith; T L Gavan; H D Isenberg; A Sonnenwirth; W I Taylor; J A Washington; A Balows
Journal:  J Clin Microbiol       Date:  1978-12       Impact factor: 5.948

9.  Preprototype of an automated microbial detection and identification system: a developmental investigation.

Authors:  A C Sonnenwirth
Journal:  J Clin Microbiol       Date:  1977-10       Impact factor: 5.948

10.  Automated microbiological detection/identification system.

Authors:  C Aldridge; P W Jones; S Gibson; J Lanham; M Meyer; R Vannest; R Charles
Journal:  J Clin Microbiol       Date:  1977-10       Impact factor: 5.948

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  12 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.  Identification of oxidase-positive, glucose-negative, motile species of nonfermentative bacilli.

Authors:  M J Pickett; J R Greenwood
Journal:  J Clin Microbiol       Date:  1986-05       Impact factor: 5.948

3.  Critical evaluation of the AutoMicrobic system gram-negative identification card for identification of glucose-nonfermenting gram-negative rods.

Authors:  J J Plorde; J A Gates; L G Carlson; F C Tenover
Journal:  J Clin Microbiol       Date:  1986-02       Impact factor: 5.948

4.  Spectral analysis of biochemical reactions used for identification of bacteria.

Authors:  A E Hilger; M V Lancaster
Journal:  Eur J Clin Microbiol       Date:  1984-08       Impact factor: 3.267

5.  Evaluation of the AutoMicrobic system for identification and susceptibility testing of gram-negative bacilli.

Authors:  B F Woolfrey; R T Lally; M N Ederer; C O Quall
Journal:  J Clin Microbiol       Date:  1984-12       Impact factor: 5.948

6.  Rapid processing of urine specimens by urine screening and the AutoMicrobic system.

Authors:  M Wadke; C McDonnell; J K Ashton
Journal:  J Clin Microbiol       Date:  1982-10       Impact factor: 5.948

7.  Evaluation of the automicrobic system for susceptibility testing of Pseudomonas aeruginosa to gentamicin, tobramycin, and amikacin.

Authors:  B F Woolfrey; R T Lally; M N Ederer; C O Quall
Journal:  J Clin Microbiol       Date:  1984-04       Impact factor: 5.948

8.  Evaluation of the automicrobic system for detection of resistance of Staphylococcus aureus to methicillin.

Authors:  B F Woolfrey; R T Lally; M N Ederer
Journal:  J Clin Microbiol       Date:  1984-04       Impact factor: 5.948

9.  Accuracy of four commercial systems for identification of Burkholderia cepacia and other gram-negative nonfermenting bacilli recovered from patients with cystic fibrosis.

Authors:  D L Kiska; A Kerr; M C Jones; J A Caracciolo; B Eskridge; M Jordan; S Miller; D Hughes; N King; P H Gilligan
Journal:  J Clin Microbiol       Date:  1996-04       Impact factor: 5.948

Review 10.  Recovery of uncommon bacteria from blood: association with neoplastic disease.

Authors:  J L Beebe; E W Koneman
Journal:  Clin Microbiol Rev       Date:  1995-07       Impact factor: 26.132

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