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[Automated technics in microbiological diagnosis compared with conventional methods].

Y Schmitt

    Zentralblatt Fur Bakteriologie, Mikrobiologie, Und Hygiene. Series A, Medical Microbiology, Infectious Diseases, Virology, Parasitology
    |April 1, 1986
    PubMed
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    Two automated systems for medical microbiology diagnosis were evaluated. The Sceptor system showed good agreement with conventional methods, while the MS 2 system offered faster results but had more limitations.

    Area of Science:

    • Medical Microbiology
    • Clinical Diagnostics
    • Bacteriology

    Background:

    • Automated systems offer potential for efficiency in microbiological diagnostics.
    • Conventional methods for bacterial identification and antimicrobial susceptibility testing are time-consuming.

    Purpose of the Study:

    • To compare the performance of two automated systems, Sceptor and MS 2, against conventional methods for bacterial identification and antimicrobial susceptibility testing.
    • To evaluate the clinical utility and cost-effectiveness of these automated diagnostic tools.

    Main Methods:

    • Bacterial identification was performed using Minitek and API 20 E systems.
    • Antimicrobial susceptibility testing was conducted using the nutrient agar diffusion test.
    • Results from automated systems (Sceptor and MS 2) were compared to conventional methods.

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    Main Results:

    • The Sceptor system demonstrated good concordance with conventional methods for both identification and susceptibility testing.
    • The MS 2 system, while faster, exhibited greater discrepancies compared to conventional methods and higher material costs.
    • The Sceptor system's associated computer program provided valuable statistical evaluations.

    Conclusions:

    • The Sceptor system is a viable option for automated medical microbiological diagnosis due to its accuracy and reliable software.
    • The MS 2 system has limitations and higher costs, despite its rapid diagnostic capabilities on pure cultures.
    • Further validation may be needed for the MS 2 system to improve its accuracy and cost-effectiveness.