Title

Prevalence of Staphylococcus aureus (MRSA versus MSSA) in surgical site infections among orthopaedic patients

Authors

Sweta Jha¹, Chandan Kumar Jha^2,*& Manzoor Ahmad Thokar³

Affiliation

¹Department of Microbiology, Madhubani Medical College and Hospital, Madhubani, Bihar, India; ²Department of Orthopaedics, Madhubani Medical College and Hospital, Madhubani, Bihar, India; *Corresponding author

Email

Sweta Jha - E-mail: shweta.jha2384@gmail.com
Chandan Kumar Jha - E-mail: chandonjha@gmail.com
Manzoor Ahmad Thokar - E-mail: thakurmanzoor@gmail.com

Article Type

Research Article

Date

Received August 1, 2026; Revised August 31, 2026; Accepted August 31, 2026, Published August 31, 2026

Abstract

Surgical site infections (SSIs) are a significant complication among orthopedic patients that cause a substantial morbidity, longer hospitalization and higher healthcare expense and the most commonly isolated pathogen is Staphylococcus aureus, but methicillin resistant (MRSA) and methicillin-sensitive (MSSA) isolates present different clinical problems. Therefore, it is of interest to identify the prevalence of Staphylococcus aureus (MRSA versus MSSA) in the surgical site infections of orthopedic patients. Eighty patients who had clinically suspected SSIs were included. Samples were taken in aseptic conditions and subjected to microbiological processing through conventional culture and sensitivity tests. Diagnosis of Staphylococcus aureus and differentiation to MRSA and MSSA were done through the traditional biochemical tests and antibiotic susceptibility testing. Thus, the prevalence of resistant strains is essential to develop empirical approaches for antibiotic therapy and infection control in orthopedic practice.

Keywords

Surgical site infection (SSI), Staphylococcus aureus, methicillin-resistant Staphylococcus aureus (MRSA), methicillin-sensitive Staphylococcus aureus (MSSA), orthopedic infections, antibiotic resistance

Citation

Jha et al. Bioinformation 22(8): 4905-4909 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.