Evaluation of Genotypic and Phenotypic Methods for Detection of Methicillin Resistant Staphylococcus aureus in a Tertiary Care Hospital of Eastern Odisha
Introduction: Methicillin resistant Staphylococcus aureus has emerged as an important pathogen in nosocomial and community acquired infections. Accurate and rapid identification of MRSA in clinical specimens is essential for timely decision of effective antimicrobial chemotherapy. Aim: The pres...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2016-02-01
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Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/7278/17476_CE(RA1)_F(T)_PF1(SSAK)_PFA(AK)_PF2(AGAK).pdf |
Summary: | Introduction: Methicillin resistant Staphylococcus aureus
has emerged as an important pathogen in nosocomial and
community acquired infections. Accurate and rapid identification
of MRSA in clinical specimens is essential for timely decision of
effective antimicrobial chemotherapy.
Aim: The present study was conducted to compare efficacy
of four conventional phenotypic methods, with mec- A based
polymerase chain reaction (PCR) for MRSA identification.
Materials and Methods: Methicillin resistance was determined
in 200 S.aureus isolates by oxacillin disc diffusion, cefoxitin disc
diffusion, Oxacillin Resistance Screening Agar and E-test. The
results were compared with mec-A based PCR.
Results: Among 200 S.aureus isolates 62 (31%) were positive
for mec-A gene by PCR. Cefoxitin disc diffusion, Oxacillin
Resistance Screening Agar and E-test showed 100% specificity.
Oxacillin disc diffusion had lowest sensitivity (82.5%) and
specificity (98.5%) among all. The conventional methods
take more time than PCR for diagnosing MRSA. Linezolid,
Vancomycin & Dalfopristin were the highly sensitive drugs
against MRSA isolates.
Conclusion: Cefoxitin disc diffusion, is rapid, simple and
cheaper, hence can be used routinely as an alternative to PCR
for detection of MRSA in resource constraint laboratories. |
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ISSN: | 2249-782X 0973-709X |