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Related Experiment Videos

API computer profiles: correlation of API 20E with API 10S.

S B Phillips, D Amsterdam

    Journal of Clinical Microbiology
    |December 1, 1977
    PubMed
    Summary
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    The API 20 Enteric kit and API 10S showed 85.6% species-level and 93.5% genus-level agreement for identifying clinical bacterial isolates. This suggests API 10S is a reliable subset for bacterial identification.

    Area of Science:

    • Microbiology
    • Clinical Diagnostics
    • Bacterial Identification

    Background:

    • Accurate identification of clinical bacterial isolates is crucial for effective patient treatment and infection control.
    • The API 20 Enteric kit is a widely used system for differentiating Enterobacteriaceae and other Gram-negative bacteria.
    • Evaluating subsets of diagnostic kits can optimize laboratory workflows and resource allocation.

    Purpose of the Study:

    • To compare the identification performance of the full API 20 Enteric kit with a reduced subset of tests from the API 10S system.
    • To determine the level of agreement between the two methods at both the species and genus levels for clinical isolates.

    Main Methods:

    • 201 clinical bacterial isolates were tested using the standard 21-test API 20 Enteric kit.

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  • The same isolates were identified using a selected subset of tests available in the API 10S system.
  • Results from both methods were compared to assess identification concordance.

    • Main Results:

    • The API 20 Enteric kit and the API 10S subset achieved 85.6% agreement at the species level.
    • A higher agreement of 93.5% was observed at the genus level between the two methods.
    • These results indicate a strong correlation in the identification capabilities of the full kit and the subset.

    Conclusions:

    • The API 10S subset demonstrates high concordance with the full API 20 Enteric kit for identifying clinical bacterial isolates.
    • This validated subset offers a potentially more efficient and cost-effective alternative for routine bacterial identification in clinical laboratories.
    • Further studies could explore the clinical impact and cost-effectiveness of utilizing the API 10S subset for routine diagnostics.