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Using core genome multilocus sequence typing (cgMLST) for vancomycin-resistant Enterococcus faecium isolates to guide
Sanne Kjær Hansen1, Lise Andersen2, Mette Detlefsen2
1Research Unit for Department of Clinical Microbiology, Odense University Hospital, University of Southern Denmark, Odense, Denmark; Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen S, Denmark.
Core genome multilocus sequence typing (cgMLST) identified vancomycin-resistant Enterococcus faecium (VREfm) outbreaks in Denmark. This method effectively traced nosocomial transmission and guided infection control interventions to end the outbreak.
Area of Science:
- Microbiology
- Epidemiology
- Genomics
Background:
- Vancomycin-resistant Enterococcus faecium (VREfm) cases increased significantly at Odense University Hospital after July 2016.
- Previous detection of VREfm was sporadic before July 2016.
Purpose of the Study:
- To apply a core genome multilocus sequence typing (cgMLST) scheme for E. faecium to analyze VREfm isolates.
- To compare local VREfm isolates with national cgMLST data to trace transmission routes.
- To investigate the outbreak of VREfm at a single Danish hospital.
Main Methods:
- Whole-genome sequencing was used to analyze 38 VREfm clinical isolates collected between January 2014 and June 2017.
- SeqSphere+ software was utilized for Multi-Locus Sequence Typing (MLST), cgMLST, and epidemiological curve generation.
- Admission histories and national cgMLST surveillance data were integrated to identify transmission pathways.
Main Results:
- Six sequence types (STs) were identified, with ST80, ST117, and ST203 being the most prevalent.
- cgMLST analysis resolved the 38 isolates into 18 distinct complex types (CTs), with ST80-CT993 comprising 34% of isolates.
- Epidemiological curves indicated ST80-CT993 transmission across multiple hospital departments; however, transmission from inter-hospital transfers was not detected.
Conclusions:
- High-resolution cgMLST provided detailed insights into nosocomial transmission of specific VREfm complex types.
- Comparison with national data facilitated clarification of transmission routes.
- cgMLST, combined with patient admission histories, effectively targeted epidemiological investigations and informed infection control measures, leading to outbreak containment.
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