Literature DB >> 23620843

Clonal distribution and possible microevolution of methicillin-resistant Staphylococcus aureus strains in a teaching hospital in Malaysia.

Xin Ee Tan1, Hui-Min Neoh, Salasawati Hussin, Noraziah Mohamad Zin.   

Abstract

OBJECTIVE: To genotypically characterize methicillin-resistant Staphylococcus aureus (MRSA) strains isolated from medical and surgical wards in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) in 2009.
METHODS: MRSA strains were collected and molecularly typed by pulsed-field gel electrophoresis (PFGE).
RESULTS: PFGE typing on 180 MRSA isolated in UKMMC identified 5 pulsotypes (A-E) and 6 singletons, where pulsotypes B and C were suspected to be divergent clones originating from a single ancestor. This study also showed that most MRSA strains were isolated from swab (119 isolates), followed by blood (22 isolates), tracheal aspirate (11 isolates) and sputum (10 isolates). On the other hand, urine and bone isolates were less, which were 4 and 1 isolates, respectively. The distribution of different pulsotypes of MRSA among wards suggested that MRSA was communicated in surgical and medical wards in UKMMC, with pulsotype B MRSA as the dominant strain. Besides, it was found that most deceased patients were infected by pulsotype B MRSA, however, no particular pulsotype could be associated with patient age, underlying disease, or ward of admittance.
CONCLUSIONS: Five pulsotypes of MRSA and 6 singletons were identified, with pulsotype B MRSA as the endemic strains circulating in these wards, which is useful in establishment of preventive measures against MRSA transmission.

Entities:  

Keywords:  Hospital infection; MRSA; Microevolution; PFGE typing

Mesh:

Year:  2013        PMID: 23620843      PMCID: PMC3631755          DOI: 10.1016/S2221-1691(13)60055-6

Source DB:  PubMed          Journal:  Asian Pac J Trop Biomed        ISSN: 2221-1691


  26 in total

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9.  How does healthcare worker hand hygiene behaviour impact upon the transmission of MRSA between patients?: an analysis using a Monte Carlo model.

Authors:  Clive B Beggs; Simon J Shepherd; Kevin G Kerr
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10.  Wound chronicity, inpatient care, and chronic kidney disease predispose to MRSA infection in diabetic foot ulcers.

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