Literature DB >> 1993764

Evaluation of API Coryne in comparison with conventional methods for identifying coryneform bacteria.

J Freney1, M T Duperron, C Courtier, W Hansen, F Allard, J M Boeufgras, D Monget, J Fleurette.   

Abstract

A study was performed to evaluate a new manual miniaturized system, API Coryne (API-bioMérieux, Inc., La Balme les Grottes, France), in which conventional biochemical methods were used to identify 240 isolates of coryneform and related bacteria. A total of 40% of the isolates were excluded from the study because they could not be identified by conventional methods. Identifications of the 240 isolates obtained with API Coryne showed a 97.6% concordance with conventional methods (79% after 24 h of incubation, 21% after 48 h of incubation): 158 (65.8%) isolates were identified with no further testing, and extra testing was required for 76 (31.8%) isolates. In three (1.2%) cases, the organisms did not correspond to any key in the code book and could not be identified by the computer service of the manufacturer. Only three (1.2%) strains were misidentified. The system was shown to be reliable and rapid when compared with standard identification methods.

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Year:  1991        PMID: 1993764      PMCID: PMC269698          DOI: 10.1128/jcm.29.1.38-41.1991

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


  25 in total

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2.  Coenzyme Q. 17. Isolation of coenzyme Q10 from bacterial fermentation.

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3.  Rapid identification of antibiotic-resistant corynebacteria with the API 20S system.

Authors:  M C Kelly; I D Smith; R J Anstey; J H Thornley; R P Rennie
Journal:  J Clin Microbiol       Date:  1984-02       Impact factor: 5.948

4.  Identification of Brevibacterium from clinical sources.

Authors:  D G Pitcher; H Malnick
Journal:  J Clin Pathol       Date:  1984-12       Impact factor: 3.411

5.  Antibiotic-resistant group JK bacteria in hospitals.

Authors:  V J Gill; C Manning; M Lamson; P Woltering; P A Pizzo
Journal:  J Clin Microbiol       Date:  1981-03       Impact factor: 5.948

6.  Isolation of Corynebacterium group JK from clinical specimens with a semiselective medium.

Authors:  S Wichmann; C H Wirsing von Koenig; E Becker-Boost; H Finger
Journal:  J Clin Microbiol       Date:  1984-02       Impact factor: 5.948

7.  Classification of Corynebacterium species from axillary skin by numerical analysis of electrophoretic protein patterns.

Authors:  P J Jackman
Journal:  J Med Microbiol       Date:  1982-11       Impact factor: 2.472

Review 8.  Infections caused by nondiphtheria corynebacteria.

Authors:  B A Lipsky; A C Goldberger; L S Tompkins; J J Plorde
Journal:  Rev Infect Dis       Date:  1982 Nov-Dec

9.  The emergence of coryneform bacteria as a cause of nosocomial infections in compromised hosts.

Authors:  V M Young; W F Meyers; M R Moody; S C Schimpff
Journal:  Am J Med       Date:  1981-03       Impact factor: 4.965

10.  Rapid microbiochemical identification of Corynebacterium diphtheriae and other medically important corynebacteria.

Authors:  J S Thompson; D R Gates-Davis; D C Yong
Journal:  J Clin Microbiol       Date:  1983-10       Impact factor: 5.948

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  30 in total

1.  Differentiation of Corynebacterium spp., Listeria spp., and related organisms by using fluorogenic substrates.

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Journal:  J Clin Microbiol       Date:  1992-05       Impact factor: 5.948

2.  A numerical analysis of ribosomal RNA gene patterns for typing clinical isolates of Corynebacterium group D2.

Authors:  A Soto; D G Pitcher; F Soriano
Journal:  Epidemiol Infect       Date:  1991-10       Impact factor: 2.451

3.  Identification of clinical coryneform bacterial isolates: comparison of biochemical methods and sequence analysis of 16S rRNA and rpoB genes.

Authors:  Elisabeth E Adderson; Jan W Boudreaux; Jessica R Cummings; Stanley Pounds; Deborah A Wilson; Gary W Procop; Randall T Hayden
Journal:  J Clin Microbiol       Date:  2007-12-26       Impact factor: 5.948

4.  New multiplatform computer program for numerical identification of microorganisms.

Authors:  Oscar Flores; Lluís A Belanche; Anicet R Blanch
Journal:  J Clin Microbiol       Date:  2009-10-14       Impact factor: 5.948

5.  Evaluation of new computer-enhanced identification program for microorganisms: adaptation of BioBASE for identification of members of the family Enterobacteriaceae.

Authors:  J M Miller; P Alachi
Journal:  J Clin Microbiol       Date:  1996-01       Impact factor: 5.948

6.  Multicenter evaluation of the updated and extended API (RAPID) Coryne database 2.0.

Authors:  G Funke; F N Renaud; J Freney; P Riegel
Journal:  J Clin Microbiol       Date:  1997-12       Impact factor: 5.948

7.  Evaluation of API Coryne system for identifying coryneform bacteria.

Authors:  A Soto; J Zapardiel; F Soriano
Journal:  J Clin Pathol       Date:  1994-08       Impact factor: 3.411

8.  Corynebacterium diphtheriae osteomyelitis in an immunocompetent child: a case report.

Authors:  I Poilane; F Fawaz; M Nathanson; P Cruaud; T Martin; A Collignon; J Gaudelus
Journal:  Eur J Pediatr       Date:  1995-05       Impact factor: 3.183

9.  Prosthetic valve endocarditis caused by Corynebacterium afermentans subsp. lipophilum (CDC coryneform group ANF-1).

Authors:  D L Sewell; M B Coyle; G Funke
Journal:  J Clin Microbiol       Date:  1995-03       Impact factor: 5.948

10.  Clinical Significance of Commensal Gram-Positive Rods Routinely Isolated from Patient Samples.

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Journal:  J Clin Microbiol       Date:  2016-09-14       Impact factor: 5.948

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