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Evaluation of various phenotypic methods with genotypic screening for detection of methicillin-resistant Staphylococcus aureus Cover

Evaluation of various phenotypic methods with genotypic screening for detection of methicillin-resistant Staphylococcus aureus

Open Access
|Jun 2020

Abstract

Background

Staphylococcus aureus is one of the common opportunistic gram-positive pathogens which are often associated with nosocomial infections. Detection of methicillin-resistant S. aureus (MRSA) has become complicated due to the complex phenotypic and genomic pattern.

Objective

To evaluate the sensitivity and specificity pattern of various phenotypic methods used in screening mec genes harboring MRSA.

Methods

Clinical isolates of S. aureus were collected from diagnostic centers in Tamil Nadu. Phenotypic identification methods such as Minimal Inhibitory Concentration for oxacillin, oxacillin screen agar (OSA), oxacillin disk diffusion, and cefoxitin disk diffusion (CFD) tests were compared. The clinical isolates were classified into MRSA and methicillin-susceptible S. aureus (MSSA) based on the polymerase chain reaction (PCR) amplification of the mecA gene.

Result

Out of 50 S. aureus, 21 were found to be MRSA based on the presence of the mecA gene. All 21 mecA-positive isolates were found to be resistant through minimum inhibitory concentration (MIC) and CFD test, having a sensitivity of 100% and specificity of 52% and 62%, respectively. OSA and oxacillin disk tests were found to have a sensitivity of 86% and specificity of 48% and 52%, respectively.

Conclusion

The combination of two phenotypic methods, CFD and oxacillin MIC, can be used for the detection of MRSA in clinical laboratories.

DOI: https://doi.org/10.1515/abm-2019-0065 | Journal eISSN: 1875-855X | Journal ISSN: 1905-7415
Language: English
Page range: 225 - 233
Published on: Jun 25, 2020
Published by: Chulalongkorn University
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2020 Archana Loganathan, Prasanth Manohar, Kandasamy Eniyan, Rama Jayaraj, Ramesh Nachimuthu, published by Chulalongkorn University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.