Peer-reviewed veterinary case report
Antimicrobial susceptibility of Escherichia coli F4, Pasteurella multocida, and Streptococcus suis isolates from a diagnostic veterinary laboratory and recommendations for a surveillance system.
- Journal:
- The Canadian veterinary journal = La revue veterinaire canadienne
- Year:
- 2014
- Authors:
- Glass-Kaastra, Shiona K et al.
- Affiliation:
- Department of Population Medicine (Glass-Kaastra · Canada
Plain-English summary
This study looked at how well certain bacteria, specifically Escherichia coli F4, Pasteurella multocida, and Streptococcus suis, respond to antibiotics in pigs from Ontario, Canada, over a period from January 1998 to October 2010. The researchers wanted to see if they could create a system to track antibiotic resistance, but they found that missing information about where the farms were located made it hard to analyze the data fully. They also noted that changes in the antibiotics tested limited their ability to compare results over time. To improve future studies, they suggested that labs should encourage complete reporting and update their data systems to make it easier to analyze the information. Overall, the study highlights the need for better data management to help track and understand antibiotic resistance in these bacteria.
Abstract
Antimicrobial susceptibility data on Escherichia coli F4, Pasteurella multocida, and Streptococcus suis isolates from Ontario swine (January 1998 to October 2010) were acquired from a comprehensive diagnostic veterinary laboratory in Ontario, Canada. In relation to the possible development of a surveillance system for antimicrobial resistance, data were assessed for ease of management, completeness, consistency, and applicability for temporal and spatial statistical analyses. Limited farm location data precluded spatial analyses and missing demographic data limited their use as predictors within multivariable statistical models. Changes in the standard panel of antimicrobials used for susceptibility testing reduced the number of antimicrobials available for temporal analyses. Data consistency and quality could improve over time in this and similar diagnostic laboratory settings by encouraging complete reporting with sample submission and by modifying database systems to limit free-text data entry. These changes could make more statistical methods available for disease surveillance and cluster detection.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/24688133/