Submitted to: International Association for Food Protection
Publication Type: Abstract Only
Publication Acceptance Date: 7/13/2006
Publication Date: 8/13/2006
Citation: Cray, P.J., Bailey, J.S., Frye, J.G., Haro, J.H., Plumblee, J., Cosby, D.E. 2006. Antimicrobial resistance trends in salmonella [abstract]. International Association for Food Protection. 93:17. Interpretive Summary:
Technical Abstract: Background: Since the early 1990’s there has been increasing awareness and concern regarding the development of antimicrobial resistance among bacteria of public health significance. Reports targeting zoonotic bacteria, and in particular Salmonella species, suggest that resistance is trending upward. However, analysis of the data demonstrates variability that may not be readily apparent in these reports. Key Points: There are over 2500 reported serotypes of Salmonella and each serotype is not only unique in its antigenic presentation, but also in its virulence, potential for host specificity, and apparent ability to develop resistance or acquire resistance genes. Additionally, while the top five serotypes for humans remain fairly constant, serotypes vary dramatically between and within animal species. Seasonal and regional differences in weather and animal production may also play a role in the development and maintenance of resistance and clinical status of recovered isolates (diagnostic versus farm/slaughter/retail) must be taken into account. Therefore, an overview of resistance in Salmonella, which does not differentiate between serotype, animal species, or other characteristic, may not provide an accurate assessment of resistance trends. Multiple resistance (MR) must also be well defined. Although multiple typically means >1, investigators may only report MR exceeding 5 antimicrobials. Additionally, while MR may occur to > 2 antimicrobials, resistance to later generations of antimicrobials within the same antimicrobial class suggests that this may not be true MR. Conclusions: Antimicrobial resistance among Salmonella is complex and most accurately described by a detailed analysis of the data using all available descriptors.