|CRAY, JR, WILLIAM|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 6/13/2008
Publication Date: 8/24/2008
Citation: Cray, P.J., Jackson, C.R., Cray, Jr, W.C., Kelley, L.C., Gerner-Smidt, P., Narang, N., Mcglinchey, B., Hise, K., Dunham, A. 2008. The Value OF USDA VetNet to Monitor Salmonella Isolates over time. International Conference on Emerging Antimicrobial Agents in Veterinary Medicine. P. 82
Technical Abstract: BACKGROUND: USDA VetNet commenced in March 2004 with the following objectives: determine PFGE patterns of Salmonella isolates submitted to the National Antimicrobial Resistance Monitoring System (NARMS), compare USDA VetNet and CDC PulseNet PFGE patterns, and use the comparative data for surveillance and investigation of food-borne illness outbreaks as well as carriage/disease within animals. METHODS: Standard PulseNet PFGE protocols are used and data are analyzed using Bionumerics (Applied Maths). All VetNet isolates are assigned a pattern name and compared to PulseNet pattern names. Where pattern matches occur between isolates, both pattern names are uploaded into the database. Otherwise, only VetNet pattern names are uploaded. Databases are checked and updated daily. RESULTS: Currently, 36 slaughter/processing (SP) isolates are Salmonella MontevideoVetNet pattern JIXX01.0006 ARS (7.44% of all Montevideo isolates) and were first noted in April of 2004. From 2004-2006 a total of 13 SP isolates with this pattern was first observed with a recurrence from July-November 2007 (19 SP isolates). All 36 isolates were isolated from ground beef. JIXX01.0006 ARS matched PulseNet pattern JIXX01.0081; however, no PulseNet outbreak clusters were associated with this pattern from 2004-2007. In January 2008 the pattern reoccurred and VetNet notified PulseNet; PulseNet was able to identify a multi-state cluster of seven human isolates matching VetNet pattern JIXX01.0006 ARS. CONCLUSION: These data demonstrate the ability of VetNet to provide an early warning to PulseNet of potential food-borne outbreak patterns, identify emerging patterns in Salmonella isolates, and facilitate transferring this information to the industry for development of mitigation strategies.