Literature DB >> 16243478

Evaluation of the BD Phoenix Automated Microbiology System SMIC/ID panel for identification and antimicrobial susceptibility testing of Streptococcus spp.

Yoichi Hirakata1, Junichi Matsuda, Michiko Nakano, Tomomi Hayashi, Shusaku Tozaka, Toshiyuki Takezawa, Hiroshi Takahashi, Yasuhito Higashiyama, Yoshitsugu Miyazaki, Shimeru Kamihira, Shigeru Kohno.   

Abstract

The BD Phoenix Automated Microbiology System SMIC/ID panel was evaluated for identification and antimicrobial susceptibility testing (AST) of various streptococci. A group of 97 consecutive clinical isolates of Streptococcus pneumoniae, 23 Streptococcus pyogenes, 24 Streptococcus agalactiae, and 34 viridans streptococci were collected and comparisons made with routine manual methods used in the clinical microbiology laboratory. Overall, in 162 (91%) of 178 isolates, Phoenix identification results demonstrated agreement. For AST results for the 162 isolates that demonstrated identification concordance, the overall essential agreement rate was 98.5%; the category agreement was 94.9%; and the very major error, major error, and minor error rates were 0%, 0.15%, and 5.8%, respectively. Although relatively high minor error rates were observed with S. pneumoniae and beta-lactams, 79.2% of the 77 minor errors were the result of a single log(2) dilution difference. The Phoenix SMIC/ID panel performed favorably and demonstrated the advantages of automation and simple methodology.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16243478     DOI: 10.1016/j.diagmicrobio.2005.06.003

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  6 in total

1.  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

Review 2.  It's not easy being green: the viridans group streptococci, with a focus on pediatric clinical manifestations.

Authors:  Christopher D Doern; Carey-Ann D Burnham
Journal:  J Clin Microbiol       Date:  2010-09-01       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.  Association of Local Unit Sampling and Microbiology Laboratory Culture Practices With the Ability to Identify Causative Pathogens in Peritoneal Dialysis-Associated Peritonitis in Thailand.

Authors:  Talerngsak Kanjanabuch; Tanittha Chatsuwan; Nibondh Udomsantisuk; Tanawin Nopsopon; Pongpratch Puapatanakul; Guttiga Halue; Pichet Lorvinitnun; Kittisak Tangjittrong; Surapong Narenpitak; Chanchana Boonyakrai; Sajja Tatiyanupanwong; Rutchanee Chieochanthanakij; Worapot Treamtrakanpon; Uraiwan Parinyasiri; Niwat Lounseng; Phichit Songviriyavithaya; Suchai Sritippayawan; Somchai Eiam-Ong; Kriang Tungsanga; David W Johnson; Bruce Robinson; Jeffrey Perl
Journal:  Kidney Int Rep       Date:  2021-02-02

5.  Identification of clinical isolates of α-hemolytic streptococci by 16S rRNA gene sequencing, matrix-assisted laser desorption ionization-time of flight mass spectrometry using MALDI Biotyper, and conventional phenotypic methods: a comparison.

Authors:  Angharad Puw Davies; Michelle Reid; Stephen J Hadfield; Stuart Johnston; Jane Mikhail; Llinos G Harris; Howard F Jenkinson; Nidhika Berry; Ann M Lewis; Khalid El-Bouri; Dietrich Mack
Journal:  J Clin Microbiol       Date:  2012-09-19       Impact factor: 5.948

6.  Drug susceptibility testing of clinical isolates of streptococci and enterococci by the Phoenix automated microbiology system.

Authors:  Gioconda R Brigante; Francesco A Luzzaro; Beatrice Pini; Gianluigi Lombardi; Gertrude Sokeng; Antonio Q Toniolo
Journal:  BMC Microbiol       Date:  2007-05-23       Impact factor: 3.605

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.