Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa
Abstract Background Antimicrobial resistance in staphylococci, often associated with treatment failure, is increasingly reported in veterinary medicine. The aim of this study was to investigate patterns and predictors of antimicrobial resistance among Staphylococcus spp. isolates from canine samples...
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doaj-5c9aa25f11f443ea9d69b994696a9c9d2020-11-24T21:46:00ZengBMCBMC Veterinary Research1746-61482017-04-011311910.1186/s12917-017-1034-3Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South AfricaDaniel N. Qekwana0James W. Oguttu1Fortune Sithole2Agricola Odoi3Section of Veterinary Public Health, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of PretoriaDepartment of Agriculture and Animal Health, College of Agriculture and Environmental Sciences, University of South AfricaSection of Veterinary Public Health, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of PretoriaSection of Veterinary Public Health, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of PretoriaAbstract Background Antimicrobial resistance in staphylococci, often associated with treatment failure, is increasingly reported in veterinary medicine. The aim of this study was to investigate patterns and predictors of antimicrobial resistance among Staphylococcus spp. isolates from canine samples submitted to the bacteriology laboratory at the University of Pretoria academic veterinary hospital between 2007 and 2012. Retrospective data of 334 Staphylococcus isolates were used to calculate the proportion of samples resistant to 15 antimicrobial agents. The Cochran-Armitage trend test was used to investigate temporal trends and logistic regression models were used to investigate predictors of antimicrobial resistance in Staphylococcus aureus and Staphylococcus pseudintermedius. Results Results show that 98.2% (55/56) of the S. aureus isolates were resistant to at least one drug while 42.9% were multidrug resistant. Seventy-seven percent (214/278) of the S. pseudintermedius isolates were resistant to at least one drug and 25.9% (72/278) were multidrug resistant. Resistance to lincospectin was more common among S. aureus (64.3%) than S. pseudintermedius (38.9%). Similarly, resistance to clindamycin was higher in S. aureus (51.8%) than S. pseudintermedius (31.7%) isolates. There was a significant (p = 0.005) increase in S. aureus resistance to enrofloxacin over the study period. Similarly, S. pseudintermedius exhibited significant increasing temporal trend in resistance to trimethoprim-sulphamethoxazole (p = 0.004), clindamycin (p = 0.022) and orbifloxacin (p = 0.042). However, there was a significant decreasing temporal trend in the proportion of isolates resistant to doxycycline (p = 0.041), tylosin (p = 0.008), kanamycin (p = 0.017) and amoxicillin/clavulanic acid (p = 0.032). Conclusions High levels of multidrug resistance and the increasing levels of resistance to sulphonamides, lincosamides and fluoroquinolones among Staphylococcus spp. isolates in this study are concerning. Future studies will need to investigate local drivers of antimicrobial resistance to better guide control efforts to address the problem.http://link.springer.com/article/10.1186/s12917-017-1034-3Staphylococcus aureusStaphylococcus pseudintermediusmultidrug resistanceMDRAntimicrobial resistanceAMR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniel N. Qekwana James W. Oguttu Fortune Sithole Agricola Odoi |
spellingShingle |
Daniel N. Qekwana James W. Oguttu Fortune Sithole Agricola Odoi Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa BMC Veterinary Research Staphylococcus aureus Staphylococcus pseudintermedius multidrug resistance MDR Antimicrobial resistance AMR |
author_facet |
Daniel N. Qekwana James W. Oguttu Fortune Sithole Agricola Odoi |
author_sort |
Daniel N. Qekwana |
title |
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa |
title_short |
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa |
title_full |
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa |
title_fullStr |
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa |
title_full_unstemmed |
Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa |
title_sort |
patterns and predictors of antimicrobial resistance among staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in south africa |
publisher |
BMC |
series |
BMC Veterinary Research |
issn |
1746-6148 |
publishDate |
2017-04-01 |
description |
Abstract Background Antimicrobial resistance in staphylococci, often associated with treatment failure, is increasingly reported in veterinary medicine. The aim of this study was to investigate patterns and predictors of antimicrobial resistance among Staphylococcus spp. isolates from canine samples submitted to the bacteriology laboratory at the University of Pretoria academic veterinary hospital between 2007 and 2012. Retrospective data of 334 Staphylococcus isolates were used to calculate the proportion of samples resistant to 15 antimicrobial agents. The Cochran-Armitage trend test was used to investigate temporal trends and logistic regression models were used to investigate predictors of antimicrobial resistance in Staphylococcus aureus and Staphylococcus pseudintermedius. Results Results show that 98.2% (55/56) of the S. aureus isolates were resistant to at least one drug while 42.9% were multidrug resistant. Seventy-seven percent (214/278) of the S. pseudintermedius isolates were resistant to at least one drug and 25.9% (72/278) were multidrug resistant. Resistance to lincospectin was more common among S. aureus (64.3%) than S. pseudintermedius (38.9%). Similarly, resistance to clindamycin was higher in S. aureus (51.8%) than S. pseudintermedius (31.7%) isolates. There was a significant (p = 0.005) increase in S. aureus resistance to enrofloxacin over the study period. Similarly, S. pseudintermedius exhibited significant increasing temporal trend in resistance to trimethoprim-sulphamethoxazole (p = 0.004), clindamycin (p = 0.022) and orbifloxacin (p = 0.042). However, there was a significant decreasing temporal trend in the proportion of isolates resistant to doxycycline (p = 0.041), tylosin (p = 0.008), kanamycin (p = 0.017) and amoxicillin/clavulanic acid (p = 0.032). Conclusions High levels of multidrug resistance and the increasing levels of resistance to sulphonamides, lincosamides and fluoroquinolones among Staphylococcus spp. isolates in this study are concerning. Future studies will need to investigate local drivers of antimicrobial resistance to better guide control efforts to address the problem. |
topic |
Staphylococcus aureus Staphylococcus pseudintermedius multidrug resistance MDR Antimicrobial resistance AMR |
url |
http://link.springer.com/article/10.1186/s12917-017-1034-3 |
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