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PMID: 6557116 Published · ppublish English Journal Article

Detection of oxacillin-resistant staphylococci by the AutoMicrobic system.

Journal of clinical microbiology ·Vol. 18 ·No. 5 ·1983-11-00 ·Pages 1205-11

Stotler RW, Meyer MC

Abstract

The AutoMicrobic system (Vitek Systems, Inc., Hazelwood, Mo.) is an automated instrument designed for rapid microbiological identification and susceptibility reporting in the clinical laboratory. The reliability of a rapid, automated approach to testing methicillin-resistant staphylococci was evaluated. To determine the accuracy in detecting oxacillin-methicillin resistance by the AutoMicrobic system, 746 staphylococci from seven different geographical areas were tested. Results were compared with the Bauer-Kirby agar disk diffusion technique as the reference method. Of the 304 staphylococci, 209 coagulase-positive and 95 coagulase-negative strains were resistant to oxacillin-methicillin. These organisms fell into three categories of resistance detection. The first category had resistance levels high enough for initial detection, the second category had low resistance levels requiring modified data analysis techniques for detection, and the third category had resistance levels too low for detection. Of the resistant strains tested, 21% showed a category two resistant growth pattern. Major errors, as a result of hetero-resistant growth patterns of the tested strains, were resolved by computer analysis of growth curves. These data analysis applications enabled detection of 96% of the oxacillin-methicillin-resistant organisms. Results for all resistant staphylococci tested were available in an average time of 5.5 h.

MeSH Terms
Autoanalysis Humans Methicillin/pharmacology Microbial Sensitivity Tests/methods Oxacillin/pharmacology Penicillin Resistance Staphylococcus/drug effects Time Factors
Chemicals
Methicillin Oxacillin
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Stotler R W
Meyer M C
References (12)
12 references, click to expand
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Article Info
Journal
Journal of clinical microbiology
Abbr.
J Clin Microbiol
ISSN
0095-1137
Published
1983-11-00
Pages
1205-11
Language
English
Region
United States
NLM ID
7505564
PMCID
PMC272868
Subset
IM
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