Literature DB >> 11853566

Evaluation of the Rapid ID 32 Strep system.

Thøger Gorm Jensen1, Helle Bossen Konradsen, Brita Bruun.   

Abstract

OBJECTIVE: To evaluate the performance of the Rapid ID 32 Strep system in the hands of clinical microbiologists without expert knowledge of streptococci or enterococci.
METHODS: One hundred and twenty-two strains of streptococci and enterococci conventionally identified in a reference laboratory were sent under code numbers to a clinical microbiology laboratory and identified with the Rapid ID 32 Strep system.
RESULTS: Regardless of whether automatic reading and identification or visual reading with identification using tables were done, 75-77% of the 122 examined strains were correctly identified, 7% were misidentified and 16-18% could not be identified with certainty to the species level. The system correctly identified the majority of the examined pyogenic streptococci and enterococci, but only two-thirds of the viridans streptococcal strains.
CONCLUSIONS: In a routine laboratory, the Rapid ID 32 Strep system can be used to give a rapid preliminary identification of streptococci and enterococci, but with viridans streptococci one would have to accept a certain risk of mis-identification. The assay can, however, be used to biotype viridans streptococci in order to attempt to establish identity between separate isolates, e.g. from blood in patients suspected of having endocarditis.

Entities:  

Year:  1999        PMID: 11853566     DOI: 10.1111/j.1469-0691.1999.tb00165.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  6 in total

1.  Routine molecular identification of enterococci by gene-specific PCR and 16S ribosomal DNA sequencing.

Authors:  S Angeletti; G Lorino; G Gherardi; F Battistoni; M De Cesaris ; G Dicuonzo
Journal:  J Clin Microbiol       Date:  2001-02       Impact factor: 5.948

2.  Identification of 43 Streptococcus species by pyrosequencing analysis of the rnpB gene.

Authors:  Asa Innings; Margareta Krabbe; Måns Ullberg; Björn Herrmann
Journal:  J Clin Microbiol       Date:  2005-12       Impact factor: 5.948

3.  Use of the Phoenix automated system for identification of Streptococcus and Enterococcus spp.

Authors:  Gioconda Brigante; Francesco Luzzaro; Alessia Bettaccini; Gianluigi Lombardi; Francesca Meacci; Beatrice Pini; Stefania Stefani; Antonio Toniolo
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

4.  Serotype IX, a Proposed New Streptococcus agalactiae Serotype.

Authors:  Hans-Christian Slotved; Fanrong Kong; Lotte Lambertsen; Susanne Sauer; Gwendolyn L Gilbert
Journal:  J Clin Microbiol       Date:  2007-07-18       Impact factor: 5.948

5.  Identification of clinically relevant nonhemolytic Streptococci on the basis of sequence analysis of 16S-23S intergenic spacer region and partial gdh gene.

Authors:  Xiaohui Chen Nielsen; Ulrik Stenz Justesen; Rimtas Dargis; Michael Kemp; Jens Jørgen Christensen
Journal:  J Clin Microbiol       Date:  2009-02-04       Impact factor: 5.948

6.  Infective Endocarditis: Identification of Catalase-Negative, Gram-Positive Cocci from Blood Cultures by Partial 16S rRNA Gene Analysis and by Vitek 2 Examination.

Authors:  Rawaa Jalil Abdul-Redha; Michael Kemp; Jette M Bangsborg; Magnus Arpi; Jens Jørgen Christensen
Journal:  Open Microbiol J       Date:  2010-12-31
  6 in total

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