Multidrug-Resistant Bacterial Pathogens Assessment in Canine Ophthalmic Infections
Ricardo Antonio Pilegi Sfaciotte, Lincoln Garcia Coronel, Alessandra Snak, Jéssica Tainá Bordin, Leandro Kiyoshi Yamamoto, Vanessa Kelly Capoia Vignoto, Sílvia Cristina Osaki and Sheila Rezler Wosiacki
DOI : 10.3844/ajavsp.2018.7.15
American Journal of Animal and Veterinary Sciences
Volume 13, Issue 1
The objective of this study was to identify the main microorganisms associated with ophthalmic infections and determine the resistance profile of these isolates against antimicrobial drugs. 26 bacterial isolates from 18 canine ophthalmic infections were submited to the phenotypic resistance profile for 36 drugs of 12 classes of antimicrobials, research of multidrug-resistant strains with importance in public health and detection of Staphylococcus mecA gene by PCR. The bacterial isolates were identified as Staphylococcus spp. (n = 18), Enterococcus spp. (n = 1), enterobacteria (n = 6) and Pseudomonas spp. (n = 1). The percentage of resistance and intermediate resistance were 42.48% (n = 325). Considering separate antimicrobials drugs, 18 isolates were characterized by multidrug resistant, while by the assesment of resistance to class, 20 isolates were multiresistant. In the phenotypic detection, 61.11% (11/18) of Staphylococcus spp. were predicted by Methicillin-Resistant Staphyloccus (MRS), whereas the genotypic detection, 38.89% (7/18) were carriers of the mecA gene. Two enterobacterias were considered producers of expectro Extended of Betalactamase (ESBL). EUCAST was more reliable for detecting MRS strains than the CLSI. The present study detected multiresistant isolates of great importance and are involved in cases of public health, such as MRS, MRSMLSb, ESBL, very important to be readily identified and controled so as to prevent the spread of this type of resistance.
© 2018 Ricardo Antonio Pilegi Sfaciotte, Lincoln Garcia Coronel, Alessandra Snak, Jéssica Tainá Bordin, Leandro Kiyoshi Yamamoto, Vanessa Kelly Capoia Vignoto, Sílvia Cristina Osaki and Sheila Rezler Wosiacki. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.