Abstract:
BACKGROUND : While surveillance of antimicrobial drug resistance is ongoing in human
medicine in South Africa, there is no such activity being performed in veterinary medicine.
As a result, there is a need to investigate antimicrobial resistance among enterococci
isolated from dogs in South Africa to improve understanding of the status of antimicrobial
drug resistance given its public and veterinary public health importance. This study
investigated antimicrobial resistance and factors associated with resistance profiles of
enterococci isolated from dogs presented for veterinary care at a veterinary teaching
hospital in South Africa.
METHODS : In total 102 Enterococcus isolated between 2007 and 2011 by a bacteriology
laboratory at a teaching hospital were included in this study. Antimicrobial susceptibility
of the isolates was determined against a panel of 18 antimicrobials using the Kirby Bauer
disc diffusion technique. Univariate analysis was used to assess simple associations
between year, season, breed group, age group, sex, and specimen as covariates and
extensive drug resistance (XDR) as the outcome. Variables that were significant in the
univariate analysis at a generous p-value ≤ 0.2 were included in the multivariable logistic
models to investigate predictors of XDR.
RESULTS : All the Enterococcus isolates were resistant to at least one antimicrobial.
High proportions of isolates were resistant against lincomycin (93%), kanamycin
(87%), orbifloxacin (85%), and aminogycoside-lincosamide (77%). Ninety three percent
(93%), 35.3, and 8.8% of the isolates exhibited multi-drug, extensive-drug and pandrug
resistance, respectively. Only year was significantly (p = 0.019) associated with
extensive-drug resistance.
CONCLUSION : Given the zoonotic potential of Enterococcus spp., the high antimicrobial
resistance and multi-drug resistance observed in this study are a public health concern
from one health perspective. The identified resistance to various antimicrobials may be
useful in guiding clinicians especially in resource scarce settings where it is not always
possible to perform AST when making treatment decisions.