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

Germany antimicrobial consumption antimicrobial resistance electronic practice management software individual animal

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2020
Historique:
received: 05 12 2019
accepted: 31 03 2020
entrez: 16 5 2020
pubmed: 16 5 2020
medline: 16 5 2020
Statut: epublish

Résumé

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 [

Identifiants

pubmed: 32411737
doi: 10.3389/fvets.2020.00216
pmc: PMC7200993
doi:

Types de publication

Journal Article

Langues

eng

Pagination

216

Informations de copyright

Copyright © 2020 Schnepf, Bienert-Zeit, Ertugrul, Wagels, Werner, Hartmann, Feige and Kreienbrock.

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Auteurs

Anne Schnepf (A)

Department 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, Germany.

Astrid Bienert-Zeit (A)

Clinic for Horses, University for Veterinary Medicine Hannover, Hanover, Germany.

Hatice Ertugrul (H)

Department 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, Germany.

Rolf Wagels (R)

Information and Data Service (TiHo-IDS), University for Veterinary Medicine Hannover, Hanover, Germany.

Nicole Werner (N)

Department 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, Germany.

Maria Hartmann (M)

Department 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, Germany.

Karsten Feige (K)

Clinic for Horses, University for Veterinary Medicine Hannover, Hanover, Germany.

Lothar Kreienbrock (L)

Department 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, Germany.

Classifications MeSH