Literature DB >> 16954258

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

Gioconda Brigante1, Francesco Luzzaro, Alessia Bettaccini, Gianluigi Lombardi, Francesca Meacci, Beatrice Pini, Stefania Stefani, Antonio Toniolo.   

Abstract

The Phoenix system (Becton Dickinson Diagnostic Systems, Sparks, MD) was evaluated for identification (ID) to the species level of streptococci and enterococci. Two hundred clinical isolates were investigated: beta-hemolytic streptococci (n = 50), Streptococcus pneumoniae organisms (n = 46), viridans group streptococci (n = 31), Enterococcus faecium (n = 36), Enterococcus faecalis (n = 25), and other catalase-negative cocci (n = 12). The API system (bioMérieux, Marcy l'Etoile, France) was used as a comparator. Molecular methods (sequencing of 16S rRNA and zwf and gki genes and ddl gene amplification) were used to investigate discordant results. Upon resolution of discrepancies, correct species ID was achieved by the Phoenix system for 121/129 (93.8%) streptococci and 63/70 (90.0%) enterococci. Excellent results were obtained for S. pneumoniae (45/45) and beta-hemolytic streptococci (49/50). With regard to viridans streptococci, the accuracy of the Phoenix system was 83.9%. Among the latter organisms, the best performance was obtained with isolates of the Streptococcus sanguinis group and Streptococcus anginosus group; problems were instead encountered with the Streptococcus mitis group. Four E. faecium and three E. faecalis isolates were misidentified as Enterococcus casseliflavus/Enterococcus gallinarum or Enterococcus durans. Thus, these isolates were identified only at the genus level. Compared with commercially available systems, the Phoenix system appears a reliable diagnostic tool for identifying clinically relevant streptococci and enterococci. The SMIC/ID-2 panel proved particularly effective for beta-hemolytic streptococci and pneumococci.

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Year:  2006        PMID: 16954258      PMCID: PMC1594667          DOI: 10.1128/JCM.00299-06

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


  24 in total

1.  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

2.  Validation of VITEK 2 version 4.01 software for detection, identification, and classification of glycopeptide-resistant enterococci.

Authors:  Marianne Abele-Horn; Leif Hommers; René Trabold; Matthias Frosch
Journal:  J Clin Microbiol       Date:  2006-01       Impact factor: 5.948

3.  Detection of glycopeptide resistance genotypes and identification to the species level of clinically relevant enterococci by PCR.

Authors:  S Dutka-Malen; S Evers; P Courvalin
Journal:  J Clin Microbiol       Date:  1995-01       Impact factor: 5.948

4.  Identification of glycopeptide-resistant enterococci by VITEK 2 system and conventional and real-time polymerase chain reaction.

Authors:  Alexandra Eisner; Gregor Gorkiewicz; Gebhard Feierl; Eva Leitner; Josef Köfer; Harald H Kessler; Egon Marth
Journal:  Diagn Microbiol Infect Dis       Date:  2005-09       Impact factor: 2.803

5.  Two-center collaborative evaluation of the performance of the BD Phoenix automated microbiology system for identification and antimicrobial susceptibility testing of Enterococcus spp. and Staphylococcus spp.

Authors:  Anne-Marie Fahr; Ulrich Eigner; Martina Armbrust; Alexandra Caganic; Giuseppe Dettori; Carlo Chezzi; Luca Bertoncini; Magda Benecchi; Maria Grazia Menozzi
Journal:  J Clin Microbiol       Date:  2003-03       Impact factor: 5.948

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

Authors:  Yoichi Hirakata; Junichi Matsuda; Michiko Nakano; Tomomi Hayashi; Shusaku Tozaka; Toshiyuki Takezawa; Hiroshi Takahashi; Yasuhito Higashiyama; Yoshitsugu Miyazaki; Shimeru Kamihira; Shigeru Kohno
Journal:  Diagn Microbiol Infect Dis       Date:  2005-10-21       Impact factor: 2.803

7.  Evaluation of the BD Phoenix SMIC/ID, a new streptococci identification and antimicrobial susceptibility panel, for potential routine use in a university-based clinical microbiology laboratory.

Authors:  Keiji Kanemitsu; Hiroyuki Kunishima; Ken Inden; Masumitsu Hatta; Hideo Harigae; Kenichi Ishizawa; Mitsuo Kaku
Journal:  Diagn Microbiol Infect Dis       Date:  2005-09-15       Impact factor: 2.803

Review 8.  Identification, classification, and clinical relevance of catalase-negative, gram-positive cocci, excluding the streptococci and enterococci.

Authors:  R Facklam; J A Elliott
Journal:  Clin Microbiol Rev       Date:  1995-10       Impact factor: 26.132

Review 9.  What happened to the streptococci: overview of taxonomic and nomenclature changes.

Authors:  Richard Facklam
Journal:  Clin Microbiol Rev       Date:  2002-10       Impact factor: 26.132

10.  Determination of 16S rRNA sequences of Streptococcus mitis and Streptococcus gordonii and phylogenetic relationships among members of the genus Streptococcus.

Authors:  Y Kawamura; X G Hou; F Sultana; H Miura; T Ezaki
Journal:  Int J Syst Bacteriol       Date:  1995-04
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  11 in total

1.  Identification of clinically relevant viridans group streptococci by phenotypic and genotypic analysis.

Authors:  C Teles; A Smith; G Ramage; S Lang
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-10-28       Impact factor: 3.267

2.  Streptococcus anginosus endocarditis and multiple liver abscesses in a splenectomised patient.

Authors:  Talya Finn; Ami Schattner; Ina Dubin; Regev Cohen
Journal:  BMJ Case Rep       Date:  2018-04-27

3.  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 4.  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

5.  Rapid identification of viridans streptococci by mass spectrometric discrimination.

Authors:  C Friedrichs; A C Rodloff; G S Chhatwal; W Schellenberger; K Eschrich
Journal:  J Clin Microbiol       Date:  2007-06-06       Impact factor: 5.948

6.  The medical diagnostic approaches with phylogenetic analysis for rare Brucella spp. diagnosis in Taiwan.

Authors:  Ni Tien; Yun-Ju Sung; Yi-Chih Chang; Bang-Jau You; Michelle Liang; Yun-Ping Lim; Wen-Yu Ho; Hsiu-Shen Lin; Mao-Wang Ho; Chen-Mao Ho; Chao-Chin Chang; Yu-Ching Lan
Journal:  Biomedicine (Taipei)       Date:  2015-06-06

7.  Usefulness of MALDI-TOF MS as a Diagnostic Tool for the Identification of Streptococcus Species Recovered from Clinical Specimens of Pigs.

Authors:  Marta Pérez-Sancho; Ana I Vela; Teresa García-Seco; Sergio González; Lucas Domínguez; Jose Francisco Fernández-Garayzábal
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

8.  Use of MALDI-TOF Mass Spectrometry for the Fast Identification of Gram-Positive Fish Pathogens.

Authors:  Gabriella B N Assis; Felipe L Pereira; Alexandra U Zegarra; Guilherme C Tavares; Carlos A Leal; Henrique C P Figueiredo
Journal:  Front Microbiol       Date:  2017-08-09       Impact factor: 5.640

9.  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

10.  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

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