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Article . 2016
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Biologica Nyssana
Article . 2016
Data sources: DOAJ
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Frequency Of Isolation And Antibiotic Resistance Patterns Of Bacterial Isolates From Wound Infections

Authors: Stojanović-Radić, Z.; Dimitrijević, M.; Stanković, N.; Aleksić, A.; Pejčić, M.;

Frequency Of Isolation And Antibiotic Resistance Patterns Of Bacterial Isolates From Wound Infections

Abstract

Six hundred and thirteen bacterial strains were isolated from wound swabs and the isolates were identified on the basis of growth on differential and selective media. In order to test the sensitivity of isolated strains to different antibiotics, the disc diffusion method, according to EUCAST protocol v 5.0 was used. The most common species isolated from wound swabs was Staphylococcus epidermidis (18.4%), followed by Staphylococcus aureus, Pseudomonas aeruginosa and Enterococcus faecalis (16.8%, 12.7% and 10.4%, respectively). The maximum resistance of Gram-positive cocci was observed to penicillin and the lowest to linezolid. Gram-negative bacteria showed the highest resistance to tetracyclines, while the same strains demonstrated the highest sensitivity to polypeptide antibiotics. Comparison of the resistance patterns of Gram-negative and Gram-positive bacterial strains showed significant difference in the tetracycline efficiency.

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Keywords

antibiotic resistance, P. aeruginosa, wound swab, QH301-705.5, Biology (General), S. aureus, skin infections, S. epidermidis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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