title: Evaluation of the antibacterial residue surveillance programme in Danish pigs using Bayesian methods.
abstract: Residues of pharmacological active substances or their metabolites might be found in food products from food-producing animals. Maximum Residue Limits for pharmacological active substances in foodstuffs of animal origin are established to assure high food safety standards. Each year, more than 20,000 samples are analysed for the presence of antibacterial residues in Danish pigs. This corresponds to 0.1% of the size of the slaughter pig population and more than 1% of the sows slaughtered. In this study, a Bayesian model was used to evaluate the Danish surveillance system accuracy and to investigate the impact of a potential risk-based sampling approach to the residue surveillance programme in Danish slaughter pigs. Danish surveillance data from 2005 to 2009 and limited knowledge about true prevalence and test sensitivity and specificity were included in the model. According to the model, the true antibacterial residue prevalence in Danish pigs is very low in both sows (∼0.20%) and slaughter pigs (∼0.01%). Despite data constraints, the results suggest that the current screening test used in Denmark presents high sensitivity (85-99%) and very high specificity (>99%) for the most relevant antibacterial classes used in Danish pigs. If high-risk slaughter pigs could be identified by taking into account antibacterial use or meat inspection risk factors, a potential risk-based sampling approach to antibacterial residue surveillance in slaughter pigs would allow reducing the sample size substantially, while increasing or maintaining the probability of detection. Hence, the antibacterial residue surveillance programme in Danish pigs would be more cost-effective than today.
authors.affiliation: Department of Large Animal Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870 Frederiksberg C, Denmark.
authors.forename: F M
authors.initials: FM
authors.lastname: Baptista
authors.forename: L
authors.initials: L
authors.lastname: Alban
authors.forename: A M
authors.initials: AM
authors.lastname: Olsen
authors.forename: J V
authors.initials: JV
authors.lastname: Petersen
authors.forename: N
authors.initials: N
authors.lastname: Toft
mesh_terms: D000818:Animals; D000900:Anti-Bacterial Agents / Q000032:analysis*; D001499:Bayes Theorem; D002851:Chromatography, High Pressure Liquid / Q000662:veterinary; D003718:Denmark; D004350:Drug Residues / Q000032:analysis*; D005513:Food Inspection / Q000592:standards*; D008401:Gas Chromatography-Mass Spectrometry / Q000662:veterinary; D013058:Mass Spectrometry / Q000662:veterinary; D008460:Meat / Q000592:standards*; D012680:Sensitivity and Specificity; D013552:Swine / Q000378:metabolism*
chemical_list: D000900:Anti-Bacterial Agents