[Drug susceptibility of staphylococci isolated from clinical specimens]

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Updated: Oct 13, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
14:04

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria

Published on: May 8, 2013

S Chihara, T Someya, T Tanabe

    Journal of UOEH
    |December 1, 1985
    PubMed

    Insights

    Most Staphylococcus aureus strains from a university hospital in 1982 showed resistance to common antibiotics like penicillin G and several aminoglycosides. However, newer antibiotics such as methicillin and cefmetazole remained effective against these bacterial isolates.

    Area of Science:

    • Medical Microbiology
    • Infectious Diseases
    • Antimicrobial Resistance

    Context:

    • Study conducted at a university hospital between June and August 1982.
    • Analysis of 88 staphylococcal strains isolated from patient specimens.
    • Identification of prevalent Staphylococcus species, with S. aureus being dominant (86%).

    Purpose:

    • To characterize the antibiotic resistance patterns of staphylococcal isolates.
    • To assess the susceptibility of S. aureus and S. epidermidis to various antimicrobial agents.
    • To identify emerging trends in antimicrobial resistance in a clinical setting.

    Summary:

    • A significant proportion (70%) of Staphylococcus aureus strains exhibited resistance to multiple antibiotics, including penicillin G, kanamycin, doxycycline, erythromycin, and chloramphenicol.
    • Most penicillin G-resistant strains were also resistant to aminobenzyl penicillin and cephalexin.
    • While resistance to methicillin, cloxacillin, dicloxacillin, and cefmetazole was absent, over 50% of S. aureus strains were resistant to four common aminoglycosides (kanamycin, gentamicin, tobramycin, sagamicin), contrasting with low resistance (5%) to amikacin.

    Impact:

    • Highlights the early prevalence of multidrug-resistant Staphylococcus aureus strains.
    • Provides baseline data on antibiotic susceptibility crucial for infection control and treatment strategies.
    • Underscores the importance of monitoring antimicrobial resistance patterns in healthcare settings.

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