Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats
International and Australian veterinary antimicrobial use guidelines recommend amoxicillin or trimethoprim-sulfonamide (TMS) for the empirical treatment of sporadic urinary tract infections (UTIs) in dogs and cats. However, in practice, these antibiotics are rarely used, and no large-scale analyses...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
|
Series: | Antibiotics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-6382/9/12/924 |
_version_ | 1797544149142994944 |
---|---|
author | Ri Scarborough Kirsten Bailey Bradley Galgut Adam Williamson Laura Hardefeldt James Gilkerson Glenn Browning |
author_facet | Ri Scarborough Kirsten Bailey Bradley Galgut Adam Williamson Laura Hardefeldt James Gilkerson Glenn Browning |
author_sort | Ri Scarborough |
collection | DOAJ |
description | International and Australian veterinary antimicrobial use guidelines recommend amoxicillin or trimethoprim-sulfonamide (TMS) for the empirical treatment of sporadic urinary tract infections (UTIs) in dogs and cats. However, in practice, these antibiotics are rarely used, and no large-scale analyses have examined the antibiograms of bacteria isolated from UTIs to validate these recommendations in Australia. We analyzed five years of urine culture and antimicrobial susceptibility data from an Australian veterinary laboratory. The analysis included 6196 urinary isolates from dogs and cats, 78% of which were from samples submitted by first-opinion veterinary clinics. <i>Escherichia coli</i>, <i>Enterococcus faecalis</i>, <i>Staphylococcus pseudintermedius</i> and <i>Proteus</i> spp. were the most prevalent organisms. More than 80% of all isolated cocci were susceptible to amoxicillin, and more than 80% of bacilli were susceptible to TMS. A total of 94% of isolates were susceptible to at least one antimicrobial drug categorized as low-importance in Australia. The prevalence of multi-drug resistance (MDR) was highest in <i>E. coli</i>, at 9.7%; 84% of these MDR isolates were susceptible to amoxicillin-clavulanate. We performed population-level antimicrobial treatment simulations and proposed a novel method for integrating antimicrobial importance ratings with antibiogram data to optimize the selection of empirical therapy. Our findings support current guideline recommendations to use amoxicillin or TMS. We also found that bacterial morphology assisted with selection; amoxicillin was a better choice for cocci and TMS for bacilli. |
first_indexed | 2024-03-10T13:56:19Z |
format | Article |
id | doaj.art-8c014ce1f0ff447abaed1507eadcbd2c |
institution | Directory Open Access Journal |
issn | 2079-6382 |
language | English |
last_indexed | 2024-03-10T13:56:19Z |
publishDate | 2020-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Antibiotics |
spelling | doaj.art-8c014ce1f0ff447abaed1507eadcbd2c2023-11-21T01:35:40ZengMDPI AGAntibiotics2079-63822020-12-0191292410.3390/antibiotics9120924Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and CatsRi Scarborough0Kirsten Bailey1Bradley Galgut2Adam Williamson3Laura Hardefeldt4James Gilkerson5Glenn Browning6Asia-Pacific Centre for Animal Health, Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, AustraliaAsia-Pacific Centre for Animal Health, Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, AustraliaASAP Laboratory, Mulgrave, VIC 3170, AustraliaMake Data Useful, Fitzroy, VIC 3065, AustraliaAsia-Pacific Centre for Animal Health, Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, AustraliaAsia-Pacific Centre for Animal Health, Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, AustraliaAsia-Pacific Centre for Animal Health, Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, AustraliaInternational and Australian veterinary antimicrobial use guidelines recommend amoxicillin or trimethoprim-sulfonamide (TMS) for the empirical treatment of sporadic urinary tract infections (UTIs) in dogs and cats. However, in practice, these antibiotics are rarely used, and no large-scale analyses have examined the antibiograms of bacteria isolated from UTIs to validate these recommendations in Australia. We analyzed five years of urine culture and antimicrobial susceptibility data from an Australian veterinary laboratory. The analysis included 6196 urinary isolates from dogs and cats, 78% of which were from samples submitted by first-opinion veterinary clinics. <i>Escherichia coli</i>, <i>Enterococcus faecalis</i>, <i>Staphylococcus pseudintermedius</i> and <i>Proteus</i> spp. were the most prevalent organisms. More than 80% of all isolated cocci were susceptible to amoxicillin, and more than 80% of bacilli were susceptible to TMS. A total of 94% of isolates were susceptible to at least one antimicrobial drug categorized as low-importance in Australia. The prevalence of multi-drug resistance (MDR) was highest in <i>E. coli</i>, at 9.7%; 84% of these MDR isolates were susceptible to amoxicillin-clavulanate. We performed population-level antimicrobial treatment simulations and proposed a novel method for integrating antimicrobial importance ratings with antibiogram data to optimize the selection of empirical therapy. Our findings support current guideline recommendations to use amoxicillin or TMS. We also found that bacterial morphology assisted with selection; amoxicillin was a better choice for cocci and TMS for bacilli.https://www.mdpi.com/2079-6382/9/12/924veterinaryantimicrobialantibioticsusceptibilityresistancestewardship |
spellingShingle | Ri Scarborough Kirsten Bailey Bradley Galgut Adam Williamson Laura Hardefeldt James Gilkerson Glenn Browning Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats Antibiotics veterinary antimicrobial antibiotic susceptibility resistance stewardship |
title | Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats |
title_full | Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats |
title_fullStr | Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats |
title_full_unstemmed | Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats |
title_short | Use of Local Antibiogram Data and Antimicrobial Importance Ratings to Select Optimal Empirical Therapies for Urinary Tract Infections in Dogs and Cats |
title_sort | use of local antibiogram data and antimicrobial importance ratings to select optimal empirical therapies for urinary tract infections in dogs and cats |
topic | veterinary antimicrobial antibiotic susceptibility resistance stewardship |
url | https://www.mdpi.com/2079-6382/9/12/924 |
work_keys_str_mv | AT riscarborough useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT kirstenbailey useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT bradleygalgut useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT adamwilliamson useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT laurahardefeldt useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT jamesgilkerson useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats AT glennbrowning useoflocalantibiogramdataandantimicrobialimportanceratingstoselectoptimalempiricaltherapiesforurinarytractinfectionsindogsandcats |