Abstract: Antimicrobial resistance (AMR) may lead to increasing inefficacy and treatment failure of bacterial infections in the future. Antimicrobial stewardship (AMS) programmes are critical to ensuring the continued efficacy of available antimicrobials. There is a lack of published evidence-based data on the susceptibility of isolates from common reproductive infections encountered in mares. This study aims to provide equine veterinarians in Western Australia (WA) with the most appropriate first-line empirical antimicrobials for infections of the mare reproductive tract. Methods: A retrospective study was conducted on reproductive tract swab/fluid culture and sensitivity results of mares and fillies in WA from July 2015 to June 2020. An algorithm was generated using R to create an antibiogram for the mare reproductive system. Results: The antibiogram included 767 reproductive tract isolates. Escherichia coli (E. coli) (277 of 767; 36%) was the most commonly isolated, followed by Streptococcus (240 of 767; 31%). Gram-negative isolates were most susceptible to enrofloxacin (84%), followed by ceftiofur (75%), gentamicin (72%) and tetracycline (65%). Gram-positive isolates were most susceptible to ampicillin (86%), followed by penicillin (83%), ceftiofur (83%) and trimethoprim-sulfonamide (TMS, 76%). The overall susceptibility of ceftiofur decreased across both Gram-negative and Gram-positive isolates during the time periods 2015-2017 and 2018-2020 from 79% to 69% and 91% to 75%, respectively. Conclusions: Gram-negative isolates were most susceptible to the high importance antimicrobials ceftiofur and enrofloxacin. However, these antimicrobials should be used judiciously only after culture and sensitivity testing have been performed, in accordance with the Australian Veterinary Prescribing Guidelines, as part of AMS. This study found that Gram-negative organisms are most susceptible to first-line empirical treatment with tetracycline if E. coli is suspected, or gentamicin when in doubt. Gram-positive isolates were most susceptible to first-line empirical treatment with ampicillin, penicillin or TMS. Regular updates to the antibiogram are required to provide contemporary empirical guidance for the use of antimicrobials.
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Objective Overview
This study generated a local antibiogram specific to the reproductive tract bacterial isolates from mares and fillies in Western Australia to guide veterinarians in selecting effective first-line empirical antimicrobials.
It assessed the antimicrobial susceptibility patterns of bacterial infections commonly found in the equine reproductive tract, aiming to promote responsible antimicrobial use and reduce resistance development.
Background and Importance
Antimicrobial resistance (AMR) is a growing global concern that threatens the success of treatments for bacterial infections.
Antimicrobial stewardship (AMS) programs are designed to optimize antimicrobial use, ensuring continued effectiveness of these drugs.
There was a lack of specific, evidence-based data on antimicrobial susceptibilities for bacteria isolated from reproductive infections in mares, particularly in Western Australia.
This gap made it difficult for veterinarians to choose the most appropriate empirical (initial) treatments before culture and sensitivity results are available.
Study Aims
To retrospectively analyze culture and sensitivity data from reproductive tract samples collected from mares and fillies in Western Australia over a five-year period (2015-2020).
To generate an algorithmically derived antibiogram specific to these isolates, providing data-based guidance on antimicrobial selection for the equine reproductive tract.
Methods
Retrospective review of 767 isolates cultured from reproductive tract swabs or fluid samples of mares and fillies between July 2015 and June 2020 in Western Australia.
Data included bacterial species identification and sensitivity test results to various antimicrobials.
An algorithm developed in R software was used to create an antibiogram, which summarizes susceptibility percentages of bacterial isolates to different antibiotics.
The data were categorized into Gram-negative and Gram-positive bacteria to better analyze susceptibility patterns.
Key Results
Most common isolates:
Escherichia coli (E. coli): 36% of isolates (277/767)
A declining trend in susceptibility to ceftiofur was observed between the two analyzed time periods (2015-2017 vs 2018-2020):
Gram-negative susceptibility decreased from 79% to 69%
Gram-positive susceptibility decreased from 91% to 75%
Interpretation and Recommendations
Ceftiofur and enrofloxacin, classified as critically important antimicrobials, showed high efficacy against Gram-negative isolates but should be reserved for use only after performing culture and sensitivity testing.
To support antimicrobial stewardship and prevent further resistance, these drugs should not be used empirically unless justified.
For empirical first-line treatment when culture results are not immediately available:
Gram-negative infections suspected to involve E. coli may be treated with tetracycline
If the causative agent is uncertain, gentamicin is recommended
Gram-positive infections may be treated empirically with ampicillin, penicillin, or trimethoprim-sulfonamide (TMS)
There is a need for continual updating of the antibiogram to reflect evolving resistance patterns and to guide veterinarians in evidence-based treatment choices.
Implications for Veterinary Practice
This study equips equine veterinarians in Western Australia with local susceptibility data, improving empirical antimicrobial selection specifically for reproductive tract infections in mares and fillies.
By using this local antibiogram, practitioners can make more informed decisions, improving treatment success and minimizing unnecessary use of broad-spectrum or critically important antimicrobials.
Regular antibiogram updates are essential to monitor trends in resistance and ensure ongoing relevance of the empirical treatment guidelines.
Cite This Article
APA
Hoong J, Boyd C, Secombe C, Byrne D.
(2026).
Generation of equine-specific local antibiograms: reproductive tract of mares and fillies in Western Australia.
Aust Vet J, 104(7), 457-462.
https://doi.org/10.1111/avj.70079
Weese JS, Giguère S, Guardabassi L. acvim consensus statement on therapeutic antimicrobial use in animals and antimicrobial resistance. J Vet Intern Med 2015;29(2):487–498.
Mitchell AR, Diel de Amorim M, Thachil AJ. Uterine bacterial isolates from mares and their resistance to antimicrobials.. J Equine Vet Sci 2018;66:114.
Hindler JF, Stelling J. Analysis and presentation of cumulative antibiograms: a new consensus guideline from the clinical and laboratory standards institute.. J Med Microbiol 2007;44(6):867–873.
Lacy M, Klutman NE, Horvat R. Antibiograms: new NCCLS guidelines, development, and clinical application.. Hosp Pharm 2004;39:542–553.
. Concise antibiogram toolkit getting started‐ sources of data.. 2014.
R Core Team. R: a language and environment for statistical computing.. Vienna, Austria, R Foundation for Statistical Computing, 2021.
Beehan DP, Wolfsdorf K, Elam J. The evaluation of biofilm‐forming potential of collected from the equine female reproductive tract.. J Equine Vet Sci 2015;35(11):935–939.
Benko T, Boldizar M, Novotny F. Incidence of bacterial pathogens in equine uterine swabs, their antibiotic resistance patterns, and selected reproductive indices in english thoroughbred mares during the foal heat cycle.. Vet Med (Praha) 2015;60(11):613–620.
. Pocket guide for antimicrobial use in horses.. .
Giguère S, Afonso T. Antimicrobial drug use in horses.. In: Giguère S, Prescott JF, Dowling PM, editors. Antimicrobial therapy in veterinary medicine. 5th edn. Wiley‐Blackwell, Somerset, USA, 2013;455–472.