Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results

The usage of antimicrobial drugs (AMs) leads to an increase in antimicrobial resistance (AMR). Although different antimicrobial usage (AMU) monitoring programs exist for livestock animals in Germany, there is no such system for horses. However, with the increasing usage of electronic practice manage...

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Main Authors: Anne Schnepf, Astrid Bienert-Zeit, Hatice Ertugrul, Rolf Wagels, Nicole Werner, Maria Hartmann, Karsten Feige, Lothar Kreienbrock
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fvets.2020.00216/full
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language English
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author Anne Schnepf
Astrid Bienert-Zeit
Hatice Ertugrul
Rolf Wagels
Nicole Werner
Maria Hartmann
Karsten Feige
Lothar Kreienbrock
spellingShingle Anne Schnepf
Astrid Bienert-Zeit
Hatice Ertugrul
Rolf Wagels
Nicole Werner
Maria Hartmann
Karsten Feige
Lothar Kreienbrock
Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
Frontiers in Veterinary Science
antimicrobial consumption
individual animal
electronic practice management software
Germany
antimicrobial resistance
author_facet Anne Schnepf
Astrid Bienert-Zeit
Hatice Ertugrul
Rolf Wagels
Nicole Werner
Maria Hartmann
Karsten Feige
Lothar Kreienbrock
author_sort Anne Schnepf
title Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
title_short Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
title_full Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
title_fullStr Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
title_full_unstemmed Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First Results
title_sort antimicrobial usage in horses: the use of electronic data, data curation, and first results
publisher Frontiers Media S.A.
series Frontiers in Veterinary Science
issn 2297-1769
publishDate 2020-04-01
description The usage of antimicrobial drugs (AMs) leads to an increase in antimicrobial resistance (AMR). Although different antimicrobial usage (AMU) monitoring programs exist for livestock animals in Germany, there is no such system for horses. However, with the increasing usage of electronic practice management software (EPMS), it is possible to analyze electronic field data generated for routine purposes. The aim of this study was to generate AMU data for German horses with data from the Clinic for Horses (CfH), University of Veterinary Medicine Hannover (TiHo), and in addition to show that different processes of data curation are necessary to provide results, especially considering quantitative indices. In this investigation, the number of antimicrobial doses used and the amount and percentage of active ingredients applied were calculated. Data contained all drugs administered between the 1st of January and the 31st of December 2017. A total of 2,168 horses were presented for veterinary care to the CfH and 34,432 drug applications were documented for 1,773 horses. Of these, 6,489 (18.85%) AM applications were documented for 837 (47.21%) horses. In 2017, 162.33 kg of active ingredients were documented. The most commonly used antibiotic classes were sulfonamides (84.32 kg; 51.95 %), penicillins (30.11 kg; 18.55%) and nitroimidazoles (24.84 kg; 15.30%). In 2017, the proportion of Critically Important Antibiotics (CIA)—Highest Priority used was 0.15% (0.24 kg) and the proportion of CIA—High Priority used was 20.85% (33.85 kg). Of the total 9,402 entries of antimicrobial active ingredients, the three with the largest number used were sulfonamides [n = 2,798 (29.76%)], trimethoprim [n = 2,757 (29.76%)] and aminoglycosides [n = 1,381 (14.69%)]. Comparison between Administered Daily Dose (ADA) and Recommended Daily Dose of CfH (RDDCfH), showed that 3.26% of ADA were below RDDCfH, 3.18% exceeded RDDCfH and 93.55% were within the range around RDDCfH. This study shows that data generated by an EPMS can be evaluated once the method is set up and validated. The method can be transferred to evaluate data from the EPMS of other clinics or animal species, but the transferability depends on the quality of AMU documentation and close cooperation with respective veterinarians is essential.
topic antimicrobial consumption
individual animal
electronic practice management software
Germany
antimicrobial resistance
url https://www.frontiersin.org/article/10.3389/fvets.2020.00216/full
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spelling doaj-e7655867bcd34c7faf014c5faa19f0e52020-11-25T02:10:32ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692020-04-01710.3389/fvets.2020.00216517791Antimicrobial Usage in Horses: The Use of Electronic Data, Data Curation, and First ResultsAnne Schnepf0Astrid Bienert-Zeit1Hatice Ertugrul2Rolf Wagels3Nicole Werner4Maria Hartmann5Karsten Feige6Lothar Kreienbrock7Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine Hannover, Hanover, GermanyClinic for Horses, University for Veterinary Medicine Hannover, Hanover, GermanyDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine Hannover, Hanover, GermanyInformation and Data Service (TiHo-IDS), University for Veterinary Medicine Hannover, Hanover, GermanyDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine Hannover, Hanover, GermanyDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine Hannover, Hanover, GermanyClinic for Horses, University for Veterinary Medicine Hannover, Hanover, GermanyDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training for Health in the Human-Animal-Environment Interface, University for Veterinary Medicine Hannover, Hanover, GermanyThe usage of antimicrobial drugs (AMs) leads to an increase in antimicrobial resistance (AMR). Although different antimicrobial usage (AMU) monitoring programs exist for livestock animals in Germany, there is no such system for horses. However, with the increasing usage of electronic practice management software (EPMS), it is possible to analyze electronic field data generated for routine purposes. The aim of this study was to generate AMU data for German horses with data from the Clinic for Horses (CfH), University of Veterinary Medicine Hannover (TiHo), and in addition to show that different processes of data curation are necessary to provide results, especially considering quantitative indices. In this investigation, the number of antimicrobial doses used and the amount and percentage of active ingredients applied were calculated. Data contained all drugs administered between the 1st of January and the 31st of December 2017. A total of 2,168 horses were presented for veterinary care to the CfH and 34,432 drug applications were documented for 1,773 horses. Of these, 6,489 (18.85%) AM applications were documented for 837 (47.21%) horses. In 2017, 162.33 kg of active ingredients were documented. The most commonly used antibiotic classes were sulfonamides (84.32 kg; 51.95 %), penicillins (30.11 kg; 18.55%) and nitroimidazoles (24.84 kg; 15.30%). In 2017, the proportion of Critically Important Antibiotics (CIA)—Highest Priority used was 0.15% (0.24 kg) and the proportion of CIA—High Priority used was 20.85% (33.85 kg). Of the total 9,402 entries of antimicrobial active ingredients, the three with the largest number used were sulfonamides [n = 2,798 (29.76%)], trimethoprim [n = 2,757 (29.76%)] and aminoglycosides [n = 1,381 (14.69%)]. Comparison between Administered Daily Dose (ADA) and Recommended Daily Dose of CfH (RDDCfH), showed that 3.26% of ADA were below RDDCfH, 3.18% exceeded RDDCfH and 93.55% were within the range around RDDCfH. This study shows that data generated by an EPMS can be evaluated once the method is set up and validated. The method can be transferred to evaluate data from the EPMS of other clinics or animal species, but the transferability depends on the quality of AMU documentation and close cooperation with respective veterinarians is essential.https://www.frontiersin.org/article/10.3389/fvets.2020.00216/fullantimicrobial consumptionindividual animalelectronic practice management softwareGermanyantimicrobial resistance