Cited by 74Bacterial Identification and Susceptibility TestingClinical Laboratory Practices and Quality ControlAntibiotic Resistance in Bacteria

Comparison and Evaluation of Osiris and Sirscan 2000 Antimicrobial Susceptibility Systems in the Clinical Microbiology Laboratory

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Nijs, A., Cartuyvels, R., Mewis, A., Peeters, V., Rummens, J. L., Magerman, K.·2003·Journal of Clinical Microbiology

Abstract

The Osiris and Sirscan 2000 systems are two semiautomated systems that can be used to read and interpret the results on disk diffusion agar plates. They are both used for determination of susceptibility to antimicrobial agents. The present study compared both systems versus the NCCLS standard method of visual reading with a ruler. Both inpatient and outpatient samples with a total of 315 nonfastidious gram-negative strains were obtained. In total, 3724 organism-antimicrobial agent combinations that fulfilled the NCCLS guidelines for disk diffusion susceptibility testing were evaluated prospectively. The results obtained with both systems in comparison with those obtained by the classical nonautomated means of interpretation were excellent, with correlation coefficients of 0.96 for both systems. The overall agreements for susceptibility interpretation were 96.56 and 96.24% with the Osiris and Sirscan systems, respectively. Very major errors were obtained for 8 (1.07%) and 10 (1.34%) organism-antimicrobial agent combinations with the Osiris and Sirscan systems, respectively. In addition, major errors were obtained for 2 (0.07%) and 6 (0.21%) combinations with the Osiris and Sirscan systems, respectively. Minor errors were obtained for 118 and 124 organism-antimicrobial agent combinations with the Osiris and Sirscan systems, respectively. Overall, both the Osiris system and the Sirscan system are comparable and reliable systems for determination of interpretative categories from…

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Crossref · 10.1128/jcm.41.8.3627-3630.2003

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  • An approximate MIC can be calculated for some microorganisms and antibiotics by comparing inhibition zones with stored algorithms.

    “Nevertheless, an approximate MIC can be calculated for some microorganisms and antibiotics by comparing the inhibition zones with stored algorithms [13].”

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Authors
Nijs, A., Cartuyvels, R., Mewis, A., Peeters, V., Rummens, J. L., & Magerman, K.
Affiliations
Department of Clinical Laboratory, Virga Jesseziekenhuis, Stadsomvaart 11, B-3500 Hasselt, Belgium
Corresponding author
Magerman, K.
Venue
Journal of Clinical Microbiology
Published
2003-08
Volume
41
Issue
8
Pages
3627-3630
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W2143087972
Cited by
74
References
0
Citations by year
2026: 4 · 2025: 4 · 2024: 6 · 2023: 10 · 2022: 9 · 2021: 5 · 2020: 6 · 2019: 6 · 2018: 3 · 2016: 3 · 2015: 6 · 2013: 1
FWCI
0.38
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Microbiology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Sanofi Pasteur
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
Keywords
antimicrobial susceptibility testing, disk diffusion, semi-automated image analysis, NCCLS guidelines, method comparison
MeSH terms
Acinetobacter, Agar, Anti-Bacterial Agents, Automation, Bacillus, Bacteriological Techniques, Enterobacteriaceae, Escherichia coli, Gram-Negative Aerobic Bacteria, Klebsiella, Laboratories, Microbial Sensitivity Tests, Proteus, Pseudomonas aeruginosa, Reproducibility of Results

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