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Bengal Bay clone ST772-MRSA-V outbreak: conserved clone causes investigation challenges.
A Blomfeldt1, K W Larssen2, A Moghen2
1Department of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
The Journal of Hospital Infection
|January 30, 2017
Summary
The Bengal Bay clone (ST772-MRSA-V) caused hospital outbreaks in Norway. Multiple-locus variable number tandem repeat (MLVA) analysis showed higher discriminatory power than other methods for investigating this conserved methicillin-resistant Staphylococcus aureus (MRSA) clone.
Area of Science:
- Microbiology
- Infectious Diseases
- Epidemiology
Background:
- The ST772-MRSA-V clone, known for multidrug resistance and Panton-Valentine leukocidin (PVL), is a global concern.
- This clone has caused hospital outbreaks in Norway, complicating investigations due to its conserved nature.
Purpose of the Study:
- To assess the effectiveness of spa typing, MLVF/MLVA, and PFGE in investigating outbreaks caused by a conserved MRSA clone.
- To determine the most suitable typing method for outbreak investigations of the ST772-MRSA-V clone.
Main Methods:
- Analysis of 25 MRSA isolates (2004-2014), including hospital outbreak and sporadic cases.
- Utilized spa typing, PCR for PVL genes, MLVF/MLVA, and PFGE for isolate characterization.
Main Results:
- All isolates were ST772-MRSA-V-t657, exhibiting resistance to erythromycin, gentamicin, and norfloxacin; 88% were PVL positive.
- PFGE showed limited discriminatory power (≥85% similarity).
- MLVF and MLVA differentiated isolates into five and six types, respectively, identifying two hospital outbreaks, but could not distinguish all epidemiologically unlinked cases over 10 years.
Conclusions:
- MLVF/MLVA provided better discrimination than PFGE for the ST772-MRSA-V clone but struggled with isolates spanning a decade.
- MLVA demonstrated higher discriminatory power and unambiguous profiles, making it more suitable.
- The low diversity within the Bengal Bay clone suggests that higher-resolution typing methods may be necessary for precise outbreak demarcation.
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