Mary. E. Torrence DVM, Ph.D., DACVPM National Program Leader, Food Safety

Transcription

1 Mary. E. Torrence DVM, Ph.D., DACVPM National Program Leader, Food Safety

2 In , USDA, FDA, and university scientists initiated pilot studies to inform revisions to on-farm sampling designs within NARMS Goals: o Pilot the process of sustainably collecting on-farm samples, performing primary isolation, and shipping isolates to FDA for sensitivity testing o Provide preliminary data in poultry, beef and dairy cattle to help define sources of variation in prevalence and AMR o Bring in epidemiology expertise to collaborate with microbiologists

3 Broilers and turkeys for Campylobacter and Salmonella using bootsock sampling Feedlot cattle for E. coli and Salmonella using fresh fecal pats and cecals Dairy cattle for Salmonella and E. coli using 1) on-farm and 2) longitudinal (onfarm to buying station to slaughter plant) Swine conducted in collaboration with Russell Research Center and OSU

4 Convenience sample based on higher production regions Mix of cross-sectional and longitudinal to capture variation between animals and between farms Primary isolation and culture- Isolates sent to FDA for sensitivity analysis Test coding scheme (blinded)

5 HI AK AL AZ AR CA CO CT DE FL GA ID IL IN IA KS KY LA ME MD MA MI MN MS MO MT NB NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY Dairy (~2.5%) Broilers (~43%) Turkey (~40%) Feedlot (~66%)

6 Slaughter Plant Buying Station Farm Dairy Sampling monthly Farm A Farm B Farm C Random Mature Cows Heifers (6-24 months) Calves (<4 months) Random Mature Cows Heifers (6-24 months) Calves (<4 months) Random Mature Cows Heifers (6-24 months) Calves (<4 months) individual composite Buying Station monthly Cull cows Farm A Cull cows Farm B Cull cows Farm C Random Cows (10 samples) individual composite twice monthly Slaughterhouse Farm A Farm B Farm C Random Cows (25 samples) Random Cows different states (20 samples) individual composite

7 Dairy Sampling Scheme 2 cross-sectional: 320 samples/period (2 periods = 640 samples) Dairy 1 Dairy 2 Dairy 3 Dairy 4 Pen 3 Pen 4 Pen 3 Pen 4 Pen 3 Pen 4 Pen 3 Pen 4 longitudinal: 400 samples total Week 1 Week 1 Week 3 Week 3 Dairy A Week 5 Dairy B Week 5 Week 7 Week 7 Week 9 Week 9

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9 Poultry- 20% Salmonella and 65% Campylobacter. Feedlot- E. coli, almost 100%, Salmonella varied by region- Salmonella was around 60% in south. Close to 60% pan-susceptible, Range of 1 up to 9 antibiotics that are resistant

10 Process still needs work to facilitate rapid exchange of samples, isolates and data On-farm sampling is labor intensive but offers a mechanism for sporadic animal monitoring Long term collaboration with industry is critical Consortia take energy and coordination

11 Final analysis of AMR data will allow us to design sampling scheme focused on most relevant sources of variation and the question to be answered o Amount of variation directly informs sample size On-farm sampling enables the implementation of focused, short-term research questions Consortia provide support and collaboration for future projects

12 Finalize animal sampling plan and solicit stakeholder input Refine and expand consortium Pilot antibiotic use survey on-farm Developing a research component into NARMS (e.g. prevalence of ESBL, intervention) Assess sources of variation at the slaughter (matched pair design)

13 Pilot studies have provided data to contribute to the future NARMS plan A consortium of expertise will enable interactions among industry, academia, and government and future research Voluntary AMR monitoring on-farm is complicated and resource intensive