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Bovine mastitis: antimicrobial resistance patterns

J N Davidson, J G Babish, G M Dunny

    Journal of the American Veterinary Medical Association
    |January 15, 1982
    PubMed
    Summary
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    This study analyzed antimicrobial resistance in bovine mastitis pathogens like Klebsiella spp., Escherichia coli, and Staphylococcus aureus. It identified significant associations between resistances, predicting cross-resistance patterns in these bacteria.

    Area of Science:

    • Veterinary Microbiology
    • Antimicrobial Resistance
    • Bovine Health

    Background:

    • Bovine mastitis is a significant economic and animal welfare concern in dairy farming.
    • Antimicrobial resistance in mastitis-causing pathogens complicates treatment efficacy.
    • Understanding resistance patterns is crucial for effective disease management.

    Purpose of the Study:

    • To determine the antimicrobial resistance profiles of Klebsiella spp., Escherichia coli, and Staphylococcus aureus from bovine mastitis cases.
    • To investigate the associations between resistance to different antimicrobials within these bacterial species.
    • To predict potential cross-resistance patterns based on calculated association values.

    Main Methods:

    • Antimicrobial susceptibility testing was performed on 302 Klebsiella spp., 370 Escherichia coli, and 344 Staphylococcus aureus isolates.

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  • Resistance to 15 different antimicrobials was evaluated for each isolate.
  • Two-way combination analysis was used to calculate the degree of association between resistances for each organism.
  • Main Results:

    • Significant high and low associations between antimicrobial resistances were identified for all three bacterial species.
    • An association value greater than 1 suggests an increased probability of co-resistance.
    • An association value less than 1 indicates a decreased probability of co-resistance, suggesting independent resistance mechanisms.

    Conclusions:

    • The study highlights specific antimicrobial resistance associations in common bovine mastitis pathogens.
    • These findings can inform targeted antimicrobial selection and guide strategies to mitigate the spread of multi-drug resistance in dairy herds.
    • Understanding resistance associations is vital for developing effective mastitis treatment protocols and preserving antimicrobial efficacy.