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[Antibiotic combinations and serum concentrations: a study using a computer program].

T Fosse, X Thyrion, J Gouverné

    Pathologie-Biologie
    |November 1, 1986
    PubMed
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    A new computer program aids in evaluating antibiotic combinations for enhanced efficacy. The program calculates a therapeutic index, where lower scores indicate more effective drug pairings for potential clinical use.

    Area of Science:

    • Microbiology
    • Pharmacology
    • Computational Biology

    Background:

    • Antibiotic combinations are crucial for treating complex infections.
    • Assessing synergistic or antagonistic effects of antibiotic combinations requires robust methodologies.
    • Predicting therapeutic efficacy based on in vitro data is essential for drug development.

    Purpose of the Study:

    • To present an original computer program designed for analyzing antibiotic combinations.
    • To determine fractional inhibitory concentration (FIC) index, fractional bactericidal concentration (FBC) index, and a novel therapeutic index (IFT).
    • To evaluate the effectiveness of antibiotic combinations based on their ability to achieve therapeutic levels.

    Main Methods:

    • Utilized the broth microtiter checkerboard method for in vitro determination of antibiotic effects.

    Related Experiment Videos

  • Recorded inhibitory and bactericidal concentrations of individual antibiotics and their combinations.
  • Developed a computer program (Pascal UCSD) to process data and calculate various indices.

    • Main Results:

    • The computer program successfully calculated FIC and FBC indices.
    • A novel therapeutic index (IFT) was developed, correlating with achievable therapeutic levels.
    • An IFT less than 1 indicated effective antibiotic combinations with achievable therapeutic concentrations.

    Conclusions:

    • The developed computer program provides a valuable tool for assessing antibiotic combinations.
    • The novel therapeutic index (IFT) offers a quantitative measure of combination efficacy.
    • This approach can guide the selection of effective antibiotic combinations for clinical applications.