Literature DB >> 9659247

The Vitek analyser for routine bacterial identification and susceptibility testing: protocols, problems, and pitfalls.

N Shetty1, G Hill, G L Ridgway.   

Abstract

Automated and semiautomated technology in microbiology has seen great advances in recent years. The choice of automated equipment for the identification and susceptibility testing of bacteria in a routine diagnostic laboratory depends on speed, accuracy, ease of use, and cost factors. The Vitek analyser (bioMerieux, UK) was installed in a busy diagnostic teaching hospital laboratory in London. This report describes one year's experience. Changes to work practice as a result of incorporating the equipment into the laboratory, and the advantages and disadvantages of automation in key areas are described in detail, together with possible solutions to problems. The Vitek analyser was found to be valuable for the speed and accuracy with which results were available for the common bacterial pathogens. Results of susceptibility testing were standardised according to NCCLS guidelines and used breakpoint MICs to ascertain susceptibility and resistance; they were an improvement on disc testing. This equipment is not a reference facility for difficult to identify organisms and many manual techniques, including some disc susceptibility testing, will have to be retained by the laboratory.

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Year:  1998        PMID: 9659247      PMCID: PMC500679          DOI: 10.1136/jcp.51.4.316

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  5 in total

1.  Detection of methicillin and mupirocin resistance in Staphylococcus aureus isolates using conventional and molecular methods: a descriptive study from a burns unit with high prevalence of MRSA.

Authors:  P U Krishnan; K Miles; N Shetty
Journal:  J Clin Pathol       Date:  2002-10       Impact factor: 3.411

2.  An Anti-MRSA Phage From Raw Fish Rinse: Stability Evaluation and Production Optimization.

Authors:  Israa M Abd-Allah; Ghadir S El-Housseiny; Mohammad Y Alshahrani; Samar S El-Masry; Khaled M Aboshanab; Nadia A Hassouna
Journal:  Front Cell Infect Microbiol       Date:  2022-05-17       Impact factor: 6.073

Review 3.  Sequencing-based methods and resources to study antimicrobial resistance.

Authors:  Manish Boolchandani; Alaric W D'Souza; Gautam Dantas
Journal:  Nat Rev Genet       Date:  2019-06       Impact factor: 53.242

4.  Automated Scoring of Chromogenic Media for Detection of Methicillin-Resistant Staphylococcus aureus by Use of WASPLab Image Analysis Software.

Authors:  Matthew L Faron; Blake W Buchan; Chiara Vismara; Carla Lacchini; Alessandra Bielli; Giovanni Gesu; Theo Liebregts; Anita van Bree; Arjan Jansz; Genevieve Soucy; John Korver; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2015-12-30       Impact factor: 5.948

5.  Combining Functional Genomics and Whole-Genome Sequencing to Detect Antibiotic Resistance Genes in Bacterial Strains Co-Occurring Simultaneously in a Brazilian Hospital.

Authors:  Tiago Cabral Borelli; Gabriel Lencioni Lovate; Ana Flavia Tonelli Scaranello; Lucas Ferreira Ribeiro; Livia Zaramela; Felipe Marcelo Pereira-Dos-Santos; Rafael Silva-Rocha; María-Eugenia Guazzaroni
Journal:  Antibiotics (Basel)       Date:  2021-04-11
  5 in total

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