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Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing

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 m...

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Autores principales: Duggal, Shalini, Gaind, Rajni, Tandon, Neha, Deb, Manorama, Chugh, Tulsi Das
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scholarly Research Network 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664201/
https://www.ncbi.nlm.nih.gov/pubmed/23762748
http://dx.doi.org/10.5402/2012/107203
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author Duggal, Shalini
Gaind, Rajni
Tandon, Neha
Deb, Manorama
Chugh, Tulsi Das
author_facet Duggal, Shalini
Gaind, Rajni
Tandon, Neha
Deb, Manorama
Chugh, Tulsi Das
author_sort Duggal, Shalini
collection PubMed
description 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.
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spelling pubmed-36642012013-06-12 Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing Duggal, Shalini Gaind, Rajni Tandon, Neha Deb, Manorama Chugh, Tulsi Das ISRN Microbiol Research Article 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. International Scholarly Research Network 2012-09-16 /pmc/articles/PMC3664201/ /pubmed/23762748 http://dx.doi.org/10.5402/2012/107203 Text en Copyright © 2012 Shalini Duggal et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Duggal, Shalini
Gaind, Rajni
Tandon, Neha
Deb, Manorama
Chugh, Tulsi Das
Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title_full Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title_fullStr Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title_full_unstemmed Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title_short Comparison of an Automated System with Conventional Identification and Antimicrobial Susceptibility Testing
title_sort comparison of an automated system with conventional identification and antimicrobial susceptibility testing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664201/
https://www.ncbi.nlm.nih.gov/pubmed/23762748
http://dx.doi.org/10.5402/2012/107203
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