Comparison of Quantification Methods to Estimate Farm-Level Usage of Antimicrobials in Medicated Feed in Dairy Farms from Québec, Canada.

antibiotic dairy cattle farm-level feed additive feed mill ionophore medically important antimicrobial medicated feed monitoring veterinary prescription

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
30 Aug 2021
Historique:
received: 18 07 2021
revised: 24 08 2021
accepted: 26 08 2021
entrez: 28 9 2021
pubmed: 29 9 2021
medline: 29 9 2021
Statut: epublish

Résumé

Monitoring antimicrobial usage (AMU) in dairy cattle is becoming common in a growing number of countries, with the ultimate goal to improve practices, reduce the development of antimicrobial resistance, and protect human health. However, antimicrobials delivered as feed additives can be missed by some of the quantification methods usually implemented. Our objective was to compare three methods of quantification of in-feed AMU in Québec dairy herds. We recruited 101 dairy producers for one year in the Québec province. Quantities of antimicrobials were calculated by farm from: (1) feed mills invoices (reference method); (2) veterinary prescriptions; and (3) information collected during an in-person interview of each producer. We standardized AMU rates in kilograms per 100 cow-years and compared the reference method to both alternative methods using concordance correlation coefficients and Bland-Altman plots. Antimicrobial usage was well estimated by veterinary prescriptions (concordance correlation coefficient (CCC) = 0.66) or by the approximation using producer's data (CCC = 0.73) when compared with actual deliveries by feed mills. Users of medically important antimicrobials for human medicine (less than 10% of the farms) were easily identified using veterinary prescriptions. Given that veterinary prescriptions were mostly electronic (90%), this method could be integrated as part of a monitoring system in Québec.

Identifiants

pubmed: 34576729
pii: microorganisms9091834
doi: 10.3390/microorganisms9091834
pmc: PMC8471653
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Agri-Food Innov'Action Program
ID : IA 115330
Organisme : NSERC Alexander Graham Bell Canada Graduate Scholarships - Doctoral Program
ID : CGSD2 - 518906 - 2018

Références

Int J Antimicrob Agents. 2017 Jan;49(1):12-24
pubmed: 27717740
Aust Vet J. 2020 Jan;98(1-2):37-47
pubmed: 31721160
Microbiol Spectr. 2018 Jul;6(4):
pubmed: 30003871
Can Vet J. 2019 Mar;60(3):255-267
pubmed: 30872848
J Dairy Sci. 2004 Jan;87(1):191-201
pubmed: 14765827
Zoonoses Public Health. 2017 May;64(3):165-184
pubmed: 27592024
PLoS One. 2019 May 3;14(5):e0216066
pubmed: 31050665
Zoonoses Public Health. 2016 Dec;63(8):662-698
pubmed: 27873473
Stat Med. 2000 Jan 30;19(2):255-70
pubmed: 10641028
Microorganisms. 2021 May 20;9(5):
pubmed: 34065528
Antibiotics (Basel). 2020 Dec 17;9(12):
pubmed: 33348801
Front Vet Sci. 2020 Jan 29;7:10
pubmed: 32083099
Biometrics. 1977 Mar;33(1):159-74
pubmed: 843571
Biometrics. 1989 Mar;45(1):255-68
pubmed: 2720055
J Dairy Sci. 2019 Feb;102(2):1494-1507
pubmed: 30594359
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
Sci Rep. 2017 Sep 25;7(1):12257
pubmed: 28947833
Vet Microbiol. 2016 Feb 29;184:80-3
pubmed: 26854348
Front Vet Sci. 2019 Oct 17;6:329
pubmed: 31681801
Front Vet Sci. 2021 May 21;8:654125
pubmed: 34095273
Animals (Basel). 2020 Apr 03;10(4):
pubmed: 32260263
Zoonoses Public Health. 2016 Dec;63(8):651-661
pubmed: 27873478
Sci Total Environ. 2020 Jul 15;726:138296
pubmed: 32481204
J Dairy Sci. 2021 Feb;104(2):1864-1880
pubmed: 33272584
Front Microbiol. 2020 Feb 04;11:104
pubmed: 32117133

Auteurs

Hélène Lardé (H)

Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Ross University School of Veterinary Medicine, P.O. Box 334 Basseterre, St. Kitts, West Indies.

David Francoz (D)

Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.

Jean-Philippe Roy (JP)

Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Department of Clinical Sciences, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.

Marie Archambault (M)

Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.

Jonathan Massé (J)

Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.

Marie-Ève Paradis (MÈ)

Association des Médecins Vétérinaires Praticiens du Québec, 1925 rue Girouard Ouest, Saint-Hyacinthe, QC J2S 3A5, Canada.

Simon Dufour (S)

Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Regroupement FRQNT Op+lait, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.
Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique, Faculty of Veterinary Medicine, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, QC J2S 2M2, Canada.

Classifications MeSH