Use of WHONET-SaTScan system for simulated real-time detection of antimicrobial resistance clusters in a hospital in Italy, 2012 to 2014.

In this study, the WHONET-SaTScan software was applied in a hospital in Italy to identify potential outbreaks of AMR. Data from San Filippo Neri Hospital in Rome between 2012 and 2014 were extracted from the national surveillance system for antimicrobial resistance (AR-ISS) and analysed using the simulated prospective analysis for real-time cluster detection included in the WHONET-SaTScan software. Results were compared with the hospital infection prevention and control system. The WHONET-SaTScan identified 71 statistically significant clusters, some involving pathogens carrying multiple resistance phenotypes. Of these 71, three were also detected by the hospital system, while a further 15, detected by WHONET-SaTScan only, were considered of relevant importance and worth further investigation by the hospital infection control team. In this study, the WHONET-SaTScan system was applied for the first time to the surveillance of AMR in Italy as a tool to strengthen this surveillance to allow more timely intervention strategies both at local and national level, using data regularly collected by the Italian national surveillance system. PMID: 28333615 [PubMed - in process]
Source: Euro Surveill - Category: Infectious Diseases Authors: Tags: Euro Surveill Source Type: research

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Source: International Journal of Environmental Research and Public Health - Category: Environmental Health Authors: Tags: Review Source Type: research
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Source: Antimicrobial Resistance and Infection Control - Category: Infectious Diseases Source Type: research
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Source: Antimicrobial Resistance and Infection Control - Category: Infectious Diseases Source Type: research
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Source: Acta Microbiologica et Immunologica Hungarica - Category: Microbiology Authors: Tags: Acta Microbiol Immunol Hung Source Type: research
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Source: Antimicrobial Resistance and Infection Control - Category: Infectious Diseases Source Type: research
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