Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing. (16th September 2012)
- Record Type:
- Journal Article
- Title:
- Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing. (16th September 2012)
- Main Title:
- Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
- Authors:
- Duggal, Shalini
Gaind, Rajni
Tandon, Neha
Deb, Manorama
Chugh, Tulsi Das - Other Names:
- Deghmane A. E. Academic Editor.
Horz H.-P. Academic Editor. - Abstract:
- Abstract : The present study was designed to compare a fully automated identification/antibiotic susceptibility testing (AST) system BD Phoenix (BD) for its efficacy in rapid and accurate identification and AST with conventional manual methods and to determine if the errors reported in AST, such as the (very major errors) VME (false susceptibility), (major errors) ME (false resistance), and (minor errors) MiE (intermediate category interpretation) were within the range certified by FDA. Identification and antimicrobial susceptibility test results of eighty-five clinical isolates including both gram-positive and negative were compared on Phoenix considering the results obtained from conventional manual methods of identification and disc diffusion testing of antibiotics as standards for comparison. Phoenix performed favorably well. There was 100% concordance in identification for gram-negative isolates and 94.83% for gram-positive isolates. In seven cases, Phoenix proved better than conventional identification. For antibiotic results, categorical agreement was 98.02% for gram-positive and 95.7% for gram-negative isolates. VME was 0.33%, ME 0.66%, MiE 0.99% for gram-positive isolates and 1.23% VME, 1.23% ME, and 1.85% MiE for gram-negative isolates. Therefore, this automated system can be used as a tool to facilitate early identification and susceptibility pattern of aerobic bacteria in routine microbiology laboratories.
- Is Part Of:
- ISRN microbiology. Volume 2012(2012)
- Journal:
- ISRN microbiology
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-09-16
- Subjects:
- Microbiology -- Periodicals
Microbiology
Microbiological Phenomena
Fulltext
Internet Resources
Periodicals
579 - Journal URLs:
- https://www.hindawi.com/journals/isrn/contents/isrn.microbiology/ ↗
https://www.ncbi.nlm.nih.gov/pmc/journals/2097/ ↗ - DOI:
- 10.5402/2012/107203 ↗
- Languages:
- English
- ISSNs:
- 2090-7478
- Deposit Type:
- Legaldeposit
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- Ingest File:
- 18832.xml