The Clumping factor B gene typing in discriminating the strains of nosocomial-acquired methicillin-resistant Staphylococcus aureus / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 71-76, 2014.
Article
in Zh
| WPRIM
| ID: wpr-321661
Responsible library:
WPRO
ABSTRACT
Objective To evaluate the clfB typing method in discriminating the ST239 methicillin-resistant Staphylococcus aureus (MRSA) isolated from patients under nosocomial infection in Tianjin first central hospital so as to access the clinical risk factors and outcomes of the MRSA nosocomial infection from ICU and non-ICU departments.Methods Forty-two stains of MRSA with known SCCmec type were chosen in both ICU (n=35) and non-ICU (n=7) wards,from 2006 to 2012,of which MLST genotype was ST239.Clinical risk factors and rates on drug resistant to MRSA were counted,respectively.Results All the isolates of MRSA belonged to the same lineage 3 and 6 heplotypes,based on clfB variable-number random repeats typing.Thirty-five isolates from ICU belonged to 6 heplotypes,among which clfB3-52,3-52E,3-50,3-52C,3-50A and 3-50E were accouted for 42.9%,37.1%,8.6%,5.7%,2.9% and 2.9%,respectively.Seven isolates from non-ICU belonged to 3 heplotypes,in which 3-52,3-52E and 3-50 were accouted for 42.8%,28.6%,28.6%,respectively.When clfB typing was combined with SCCmec typing in use,results showed that the index of discrimination as 0.767,better than clfB (ID=0.688) or SCCmec (ID=0.303) used alone.SCCmec Ⅲ-clfB3-52E seemed as the major clone among the 10 heplotypes of clfB/SCCmec typing,which was accounted for 40.4%.There were significant differences on the length of hospitalization (P<0.005) and the duration of antibiotics use (P<0.05) between ICU and non-ICU.Conclusion The clfB typing method which was based on variable-numbers of tandom repeats showed powerful ability of resolution.It could also be combined with MLST and SCCmec typing to be used in local epidemiological investigations.
Full text:
1
Database:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Journal of Epidemiology
Year:
2014
Document type:
Article