Investigating the antibiotic resistance pattern of Staphylococcus aureus isolated from clinical samples

سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 23

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شناسه ملی سند علمی:

MEDISM24_117

تاریخ نمایه سازی: 6 اسفند 1402

چکیده مقاله:

BACKGROUND AND OBJECTIVESStaphylococcus aureus is the cause of many infections. after observing resistance to penicillin, methicillin was used for treatment. Gradually, strains resistant to methicillin (MRSA) were created, glycopeptide antibiotics such as vancomycin are one of the most effective antibiotics for the treatment of these strains, but due to the observation of strains with intermediate resistance to vancomycin, the use of these antibiotics is limited and very controlled.MATERIALS AND METHODSThe identification of Staphylococcus aureus present in suspected clinical samples was done with the help of phenotypic method which is based on biochemical tests .After identifying bacteria, phenotypic resistance detection method was used to identify resistant bacteria..RESULTS AND DISCUSSIONThe results of determining the antibiotic sensitivity of Staphylococcus aureus by disc diffusion method for the studied antibiotics showed: the bacteria had the highest resistance to the antibiotic penicillin first (۶۶.۶%) and then tetracycline (۴۹.۹%), the most effective antibiotic was gentamicin (۱۰۰% sensitivity of the strains), the most interstitial resistance was also observed to the antibiotic vancomycin (۴۱. ۶%)CONCLUSIONExamining the sensitivity of strains isolated from patients, in addition to determining the most suitable antibiotic for treatment, leads to the timely identification of strains that have intermediate resistance to some antibiotics to which complete resistance is rarely seen, such as vancomycin. Awareness of the progression of resistance among strains leads to the timely presentation of efficient approaches to prevent and treat related diseases and control the spread of resistant strains in the population.

نویسندگان

mojtaba mohseni

Department Microbiolology, University of Mazandaran, Babolsar, iran