Used Daily Dose vs. Defined Daily Dose-Contrasting Two Different Methods to Measure Antibiotic Consumption at the Farm Level.

defined daily dose livestock treatment frequency treatment incidence used daily dose

Journal

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

Informations de publication

Date de publication:
2019
Historique:
received: 27 08 2018
accepted: 28 03 2019
entrez: 10 5 2019
pubmed: 10 5 2019
medline: 10 5 2019
Statut: epublish

Résumé

Tackling the problem of rising antibiotic resistance requires valid and comparable data on the use of antimicrobial drugs in livestock. To date, no harmonized monitoring of antimicrobial usage in animals is available, and there is no system to assess usage data throughout Europe, thus hampering a direct comparison between different European countries. Most of the currently applied monitoring systems are based on sales data. Placement of sales data in relation to the population at risk requires overall assumptions about the weights of the animals treated and the doses applied. Only a few monitoring systems collect data in which the number of treated animals is reported exactly and does not need to be estimated. To evaluate the influence of different calculation methods on the standardizing procedure of antibiotic usage and benchmarking of farms, the treatment frequency for several farms (broiler, suckling piglets, and fattening pigs) was calculated in the following two different ways: first, based on the Used Daily Dose (TF

Identifiants

pubmed: 31069237
doi: 10.3389/fvets.2019.00116
pmc: PMC6491814
doi:

Types de publication

Journal Article

Langues

eng

Pagination

116

Références

Int J Antimicrob Agents. 1999 Aug;12(4):279-85
pubmed: 10493603
Vet Res. 2001 Nov-Dec;32(6):533-43
pubmed: 11777005
Prev Vet Med. 2004 Jul 16;64(2-4):201-15
pubmed: 15325773
Prev Vet Med. 2006 Jun 16;74(4):251-63
pubmed: 16675051
Nature. 2011 Aug 31;477(7365):457-61
pubmed: 21881561
Prev Vet Med. 2012 Apr 1;104(1-2):34-43
pubmed: 22115924
Prev Vet Med. 2012 Aug 1;105(4):320-5
pubmed: 22459488
Berl Munch Tierarztl Wochenschr. 2013 Jul-Aug;126(7-8):297-309
pubmed: 23901585
Vet Rec. 2014 Oct 25;175(16):402
pubmed: 25053268
J Antimicrob Chemother. 2015 Jan;70(1):294-302
pubmed: 25223972
PLoS One. 2015 Mar 18;10(3):e0119114
pubmed: 25785688
Berl Munch Tierarztl Wochenschr. 2014 Sep-Oct;127(9-10):366-74
pubmed: 25868164
J Antimicrob Chemother. 2015 Aug;70(8):2423-5
pubmed: 25907072
Sci Rep. 2015 Jul 10;5:11444
pubmed: 26161690
Zoonoses Public Health. 2017 May;64(3):165-184
pubmed: 27592024
PLoS One. 2017 Aug 25;12(8):e0182661
pubmed: 28841685
PLoS One. 2018 Jul 3;13(7):e0199592
pubmed: 29969477
Microbiol Spectr. 2018 Jul;6(4):
pubmed: 30003871

Auteurs

Svetlana Kasabova (S)

Department of Biometry, Epidemiology, and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine, Hanover, Germany.

Maria Hartmann (M)

Department of Biometry, Epidemiology, and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine, Hanover, Germany.

Nicole Werner (N)

Department of Biometry, Epidemiology, and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine, Hanover, Germany.

Annemarie Käsbohrer (A)

Department for Farm Animals and Veterinary Public Health, Institute of Veterinary Public Health, Vienna, Austria.
Department Biological Safety, Federal Institute for Risk Assessment, Berlin, Germany.

Lothar Kreienbrock (L)

Department of Biometry, Epidemiology, and Information Processing, WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine, Hanover, Germany.

Classifications MeSH