title: Comparison of risk-based versus random sampling in the monitoring of antimicrobial residues in Danish finishing pigs.
abstract: In Denmark, a monitoring program for residues of antimicrobials in pork is in place involving annual testing of around 20,000 samples from finishing pigs corresponding to 0.1% of the animals slaughtered. Annually, zero to two samples are found above the maximum residue limit. Both authorities and industry have expressed interest in adjusting the monitoring to a risk-based system. The objective of this study was to assess the opportunities and consequences of the monitoring considering: 1) replacing the current bioassay with high-performance liquid chromatography-mass spectrometry (HPLC LC-MS/MS), 2) replacing kidney with muscles as sample matrix, and 3) using indicators to identify high-risk (HR) herds and increase sampling intensity in these herds, lowering sampling in the low-risk (LR) herds, while aiming at continued detection of similar numbers of test-positives at the lowest possible costs. A state-of-the-art stochastic scenario tree modelling approach including economic evaluation of different model outcomes was used. A total of six scenarios were run for penicillin and tetracycline, respectively. Relevant information was obtained through the literature, statistical analysis of existing data as well as consultations with laboratory and slaughterhouse experts. Abattoir recordings of chronic pleuritis were used as an indicator for finishing pig herds (HR=within-herd prevalence>40%). Such risk-based monitoring would have to use muscles and not kidneys, because of logistic challenges in identifying and storing of plucks until testing. However, the bioassay cannot be used on muscle tissue due to low sensitivity for tetracyclines. Different plausible combinations of sample sizes were also modelled. The HPLC LC-MS/MS method detected the same number of cases compared to the bioassay when kidney was used as matrix. HPLC LC-MS/MS has a higher sensitivity when used on muscle but it is almost twice as costly as the bioassay. Risk-based sampling resulted in detection of more residue cases with higher cost-effectiveness than random monitoring. Sampling 7500 HR pigs and 5000 LR pigs resulted in the most cost-effective monitoring among the alternative scenarios. The associated costs would increase by 4%. A scenario involving testing of 5000 HR and 5000 LR animals would result in slightly fewer positives, but 17% savings in costs. The advantages of using HPLC LC-MS/MS compared to the bioassay are a fast response and a high sensitivity for all relevant substances used in pigs. The Danish abattoir companies have implemented a risk-based monitoring similar to the above per January 2016.
authors.affiliation: Danish Agriculture & Food Council, Axeltorv 3, DK-1609 Copenhagen V, Denmark. Electronic address: lia@lf.dk.
authors.forename: Lis
authors.initials: L
authors.lastname: Alban
authors.affiliation: Danish Veterinary and Food Administration, Stationsparken 31-33, 2600 Glostrup, Denmark.
authors.forename: Helene
authors.initials: H
authors.lastname: Rugbjerg
authors.affiliation: Danish Agriculture & Food Council, Axeltorv 3, DK-1609 Copenhagen V, Denmark.
authors.forename: Jesper Valentin
authors.initials: JV
authors.lastname: Petersen
authors.affiliation: University of Copenhagen, Grønnegårdsvej 8, DK-1870 Frederiksberg C, Denmark.
authors.forename: Liza Rosenbaum
authors.initials: LR
authors.lastname: Nielsen
mesh_terms: D000003:Abattoirs; D000822:Animal Husbandry / Q000379:methods*; D000818:Animals; D000890:Anti-Infective Agents / Q000032:analysis*; D002851:Chromatography, High Pressure Liquid; D002853:Chromatography, Liquid; D003718:Denmark; D004350:Drug Residues / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D062665:Epidemiological Monitoring / Q000662:veterinary*; D007668:Kidney / Q000737:chemistry; D009132:Muscles / Q000737:chemistry; D011159:Population Surveillance; D018570:Risk Assessment; D034421:Sus scrofa / Q000378:metabolism*; D053719:Tandem Mass Spectrometry
chemical_list: D000890:Anti-Infective Agents
keywords: Penicillin; Pig meat; Residues; Scenario tree modelling; Tetracycline