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Related Experiment Videos

Multi-laboratory evaluation of an automated microbial detection/identification system.

P B Smith, T L Gavan, H D Isenberg

    Journal of Clinical Microbiology
    |December 1, 1978
    PubMed
    Summary

    The Automicrobic System (AMS) demonstrated high accuracy in detecting common urinary tract bacteria. This automated system showed satisfactory performance and reproducibility in a multi-laboratory study.

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    Area of Science:

    • Clinical Microbiology
    • Medical Diagnostics
    • Bacteriology

    Background:

    • Accurate and efficient detection of bacteria in clinical urine specimens is crucial for timely diagnosis and treatment of urinary tract infections.
    • Conventional methods for bacterial detection and identification can be labor-intensive and time-consuming.

    Purpose of the Study:

    • To evaluate the performance of an automated and computerized system, the Automicrobic System (AMS), for detecting frequently encountered bacteria in clinical urine specimens.
    • To determine the sensitivity, specificity, reliability, and reproducibility of the AMS and compare it with conventional methods.

    Main Methods:

    • A collaborative study involving six laboratories.
    • Testing of the AMS using pure cultures and mixtures of pure cultures to simulate clinical urine specimens.

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  • Comparison of AMS results with conventional bacterial detection and identification systems.

    • Main Results:

    • The AMS achieved an average sensitivity of 92.8% and specificity of 99.4% for identifying common urine organisms using pure cultures.
    • Reliability of positive results averaged 92.1%, influenced by false positive Escherichia coli identifications.
    • High reproducibility was observed both within and among laboratories; the system detected fast-growing organisms below its enumeration threshold.

    Conclusions:

    • The Automicrobic System (AMS) demonstrated satisfactory overall performance for detecting bacteria in urine specimens under the tested conditions.
    • The system showed high sensitivity and specificity, even in mixed cultures, although false positive E. coli reports occurred, particularly with Serratia species.
    • The AMS is a reliable automated tool for bacterial detection in clinical urine samples, offering high reproducibility.