Prevalence and Predictors of Antimicrobial Resistance Among Enterococcus spp. From Dogs Presented at a Veterinary Teaching Hospital, South Africa

被引:8
|
作者
Oguttu, James Wabwire [1 ]
Qekwana, Daniel Nenene [2 ]
Odoi, Agricola [1 ,3 ]
机构
[1] Univ South Africa, Coll Agr & Environm Sci, Dept Agr & Anim Hlth, Johannesburg, South Africa
[2] Univ Pretoria, Fac Vet Sci, Dept Paraclin Sci, Sect Vet Publ Hlth, Pretoria, South Africa
[3] Univ Tennessee, Coll Vet Med, Dept Biomed & Diagnost Sci, Knoxville, TN USA
关键词
Enterococcus species; enterococci; antimicrobial resistance; canine; dogs; multi-drug resistance; pan-drug resistance; extensive-drug resistance; ANTIBIOTIC-RESISTANCE; SPECIES DISTRIBUTION; DRUG-RESISTANCE; VANCOMYCIN; VIRULENCE; POULTRY; MECHANISMS; GENES;
D O I
10.3389/fvets.2020.589439
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
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 pan-drug 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.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa
    Daniel N. Qekwana
    James W. Oguttu
    Fortune Sithole
    Agricola Odoi
    BMC Veterinary Research, 13
  • [2] Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa
    Qekwana, Daniel N.
    Oguttu, James W.
    Sithole, Fortune
    Odoi, Agricola
    BMC VETERINARY RESEARCH, 2017, 13
  • [3] Geographic distribution of staphylococcus spp. infections and antimicrobial resistance among dogs from Gauteng Province presented at a veterinary teaching hospital in South Africa
    Qekwana, Daniel Nenene
    Oguttu, James Wabwire
    Odoi, Agricola
    SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY, 2019, 28 : 14 - 23
  • [4] Antimicrobial resistance among Escherichia coli isolates from dogs presented with urinary tract infections at a veterinary teaching hospital in South Africa
    Daniel Nenene Qekwana
    Lufuno Phophi
    Vinny Naidoo
    James Wabwire Oguttu
    Agricola Odoi
    BMC Veterinary Research, 14
  • [5] Antimicrobial resistance among Escherichia coli isolates from dogs presented with urinary tract infections at a veterinary teaching hospital in South Africa
    Qekwana, Daniel Nenene
    Phophi, Lufuno
    Naidoo, Vinny
    Oguttu, James Wabwire
    Odoi, Agricola
    BMC VETERINARY RESEARCH, 2018, 14
  • [6] Prevalence and antimicrobial resistance of Enterococcus spp and Staphylococcus spp isolated from surfaces in a veterinary teaching hospital
    Hamilton, Elizabeth
    Kaneene, John B.
    May, Katherine J.
    Kruger, John. M.
    Schall, William
    Beal, Matthew W.
    Hauptman, Joe G.
    DeCamp, Charles E.
    JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION, 2012, 240 (12): : 1463 - 1473
  • [7] Occurrence and Predictors of Bacterial Respiratory Tract Infections and Antimicrobial Resistance Among Isolates From Dogs Presented With Lower Respiratory Tract Infections at a Referral Veterinary Hospital in South Africa
    Qekwana, Daniel Nenene
    Naidoo, Vinny
    Oguttu, James Wabwire
    Odoi, Agricola
    FRONTIERS IN VETERINARY SCIENCE, 2020, 7
  • [8] Antimicrobial resistance patterns of Acinetobacter baumannii and Klebsiella pneumoniae isolated from dogs presented at a veterinary academic hospital in South Africa
    Sebola, Dikeledi C.
    Oguttu, James W.
    Kock, Marleen M.
    Qekwana, Daniel N.
    VETERINARY WORLD, 2023, 16 (09) : 1880 - 1888
  • [9] An Exploratory Descriptive Study of Antimicrobial Resistance Patterns of Staphylococcus Spp. Isolated from Horses Presented at a Veterinary Teaching Hospital
    James Wabwire Oguttu
    Daniel Nenene Qekwana
    Agricola Odoi
    BMC Veterinary Research, 13
  • [10] An Exploratory Descriptive Study of Antimicrobial Resistance Patterns of Staphylococcus Spp. Isolated from Horses Presented at a Veterinary Teaching Hospital
    Oguttu, James Wabwire
    Qekwana, Daniel Nenene
    Odoi, Agricola
    BMC VETERINARY RESEARCH, 2017, 13