Literature DB >> 21752980

Phoenix 100 versus Vitek 2 in the identification of gram-positive and gram-negative bacteria: a comprehensive meta-analysis.

Kalliopi-Stavroula Chatzigeorgiou1, Theodoros N Sergentanis, Sotirios Tsiodras, Stavros J Hamodrakas, Pantelis G Bagos.   

Abstract

Phoenix 100 and Vitek 2 (operating with the current colorimetric cards) are commonly used in hospital laboratories for rapid identification of microorganisms. The present meta-analysis aims to evaluate and compare their performance on Gram-positive and Gram-negative bacteria. The MEDLINE database was searched up to October 2010 for the retrieval of relevant articles. Pooled correct identification rates were derived from random-effects models, using the arcsine transformation. Separate analyses were conducted at the genus and species levels; subanalyses and meta-regression were undertaken to reveal meaningful system- and study-related modifiers. A total of 29 (6,635 isolates) and 19 (4,363 isolates) articles were eligible for Phoenix and colorimetric Vitek 2, respectively. No significant differences were observed between Phoenix and Vitek 2 either at the genus (97.70% versus 97.59%, P = 0.919) or the species (92.51% versus 88.77%, P = 0.149) level. Studies conducted with conventional comparator methods tended to report significantly better results compared to those using molecular reference techniques. Speciation of Staphylococcus aureus was significantly more accurate in comparison to coagulase-negative staphylococci by both Phoenix (99.78% versus 88.42%, P < 0.00001) and Vitek 2 (98.22% versus 91.89%, P = 0.043). Vitek 2 also reached higher correct identification rates for Gram-negative fermenters versus nonfermenters at the genus (99.60% versus 95.90%, P = 0.004) and the species (97.42% versus 84.85%, P = 0.003) level. In conclusion, the accuracy of both systems seems modified by underlying sample- and comparator method-related parameters. Future simultaneous assessment of the instruments against molecular comparator procedures may facilitate interpretation of the current observations.

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Year:  2011        PMID: 21752980      PMCID: PMC3165577          DOI: 10.1128/JCM.00182-11

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


  60 in total

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Journal:  Diagn Microbiol Infect Dis       Date:  2010-02-18       Impact factor: 2.803

3.  Diagnostic accuracy of in-house PCR for pulmonary tuberculosis in smear-positive patients: meta-analysis and metaregression.

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4.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

5.  Validation of Vitek 2 nonfermenting gram-negative cards and Vitek 2 version 4.02 software for identification and antimicrobial susceptibility testing of nonfermenting gram-negative rods from patients with cystic fibrosis.

Authors:  Ines Otto-Karg; Stefanie Jandl; Tobias Müller; Beate Stirzel; Matthias Frosch; Helge Hebestreit; Marianne Abele-Horn
Journal:  J Clin Microbiol       Date:  2009-08-26       Impact factor: 5.948

6.  Microbiological and epidemiological features of clinical respiratory isolates of Burkholderia gladioli.

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7.  Difficulties in detection and identification of Enterococcus faecium with low-level inducible resistance to vancomycin, during a hospital outbreak.

Authors:  S Pendle; P Jelfs; T Olma; Y Su; N Gilroy; G L Gilbert
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8.  Evaluation of the VITEK 2 cards for identification and antimicrobial susceptibility testing of non-glucose-fermenting Gram-negative bacilli.

Authors:  Wen-Shyang Hsieh; Ling-Ling Sung; Kun-Chou Tsai; Hsin-Tsung Ho
Journal:  APMIS       Date:  2009-04       Impact factor: 3.205

9.  Comparison of the MicroScan, VITEK 2, and Crystal GP with 16S rRNA sequencing and MicroSeq 500 v2.0 analysis for coagulase-negative Staphylococci.

Authors:  Miyoung Kim; Se Ran Heo; Soon Hee Choi; Hyelin Kwon; Jeong Su Park; Moon-Woo Seong; Do-Hoon Lee; Kyoung Un Park; Junghan Song; Eui-Chong Kim
Journal:  BMC Microbiol       Date:  2008-12-23       Impact factor: 3.605

10.  Detecting imipenem resistance in Acinetobacter baumannii by automated systems (BD Phoenix, Microscan WalkAway, Vitek 2); high error rates with Microscan WalkAway.

Authors:  Canan Kulah; Elif Aktas; Fusun Comert; Nagihan Ozlu; Isin Akyar; Handan Ankarali
Journal:  BMC Infect Dis       Date:  2009-03-16       Impact factor: 3.090

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  23 in total

1.  Multi-center evaluation of the VITEK® MS system for mass spectrometric identification of non-Enterobacteriaceae Gram-negative bacilli.

Authors:  R Manji; M Bythrow; J A Branda; C-A D Burnham; M J Ferraro; O B Garner; R Jennemann; M A Lewinski; A B Mochon; G W Procop; S S Richter; J A Rychert; L Sercia; L F Westblade; C C Ginocchio
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-09-10       Impact factor: 3.267

2.  Evaluation of two matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for identification of viridans group streptococci.

Authors:  P Kärpänoja; I Harju; K Rantakokko-Jalava; M Haanperä; H Sarkkinen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-11-08       Impact factor: 3.267

3.  Improved Differentiation of Streptococcus pneumoniae and Other S. mitis Group Streptococci by MALDI Biotyper Using an Improved MALDI Biotyper Database Content and a Novel Result Interpretation Algorithm.

Authors:  Inka Harju; Christoph Lange; Markus Kostrzewa; Thomas Maier; Kaisu Rantakokko-Jalava; Marjo Haanperä
Journal:  J Clin Microbiol       Date:  2017-01-04       Impact factor: 5.948

4.  Comparison of the accuracy of matrix-assisted laser desorption ionization-time of flight mass spectrometry with that of other commercial identification systems for identifying Staphylococcus saprophyticus in urine.

Authors:  Tai-Fen Lee; Hao Lee; Chung-Ming Chen; Shin-Hei Du; Ya-Chih Cheng; Chen-Ching Hsu; Meng-Yu Chung; Shih-Hua Teng; Lee-Jene Teng; Po-Ren Hsueh
Journal:  J Clin Microbiol       Date:  2013-02-06       Impact factor: 5.948

5.  Real-time optical antimicrobial susceptibility testing.

Authors:  Marlene Fredborg; Klaus R Andersen; Erik Jørgensen; Aida Droce; Tom Olesen; Bent B Jensen; Flemming S Rosenvinge; Teis E Sondergaard
Journal:  J Clin Microbiol       Date:  2013-04-17       Impact factor: 5.948

6.  Development of rapid phenotypic system for the identification of Gram-negative oxidase-positive bacilli in resource-limited settings.

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Journal:  J Biosci       Date:  2013-06       Impact factor: 1.826

7.  Multicenter evaluation of the Vitek MS matrix-assisted laser desorption ionization-time of flight mass spectrometry system for identification of Gram-positive aerobic bacteria.

Authors:  Jenna Rychert; Carey-Ann D Burnham; Maureen Bythrow; Omai B Garner; Christine C Ginocchio; Rebecca Jennemann; Michael A Lewinski; Ryhana Manji; A Brian Mochon; Gary W Procop; Sandra S Richter; Linda Sercia; Lars F Westblade; Mary Jane Ferraro; John A Branda
Journal:  J Clin Microbiol       Date:  2013-05-08       Impact factor: 5.948

Review 8.  Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy.

Authors:  Brunella Posteraro; Ljupcho Efremov; Emanuele Leoncini; Rosarita Amore; Patrizia Posteraro; Walter Ricciardi; Maurizio Sanguinetti
Journal:  J Clin Microbiol       Date:  2015-05-20       Impact factor: 5.948

9.  Emerging organisms in a tertiary healthcare set up.

Authors:  Inam Danish Khan; Ajay Kumar Sahni; Reena Bharadwaj; Mahima Lall; A K Jindal; V K Sashindran
Journal:  Med J Armed Forces India       Date:  2013-12-17

10.  Accuracy of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of clinical pathogenic fungi: a meta-analysis.

Authors:  Huazhi Ling; Zhijie Yuan; Jilu Shen; Zhongxin Wang; Yuanhong Xu
Journal:  J Clin Microbiol       Date:  2014-05-14       Impact factor: 5.948

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