Lt. Col. Indranuj Roy Assistant Professor, Department of Surgery, 186 Military Hospital, Jaisalmer, Rajasthan 345001, India
Lt. Col. Ikroop Sahota Assistant Professor, Department of Surgery, Military Hospital, Nasirabad, Rajasthan 305601, India
Address for correspondence: Lt. Col. Indranuj Roy, Assistant Professor, Department of Surgery, 186 Military Hospital, Jaisalmer, Rajasthan 345001, India E-mail: indra.roy.surg@gmail.com
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RFP Indian Journal of Hospital Infection
2(2):p 63-68, July-December 2025. | DOI: NA
How Cite This Article:
Timeline
Received : July 20, 2025
Accepted : October 13, 2025
Published : December 25, 2025
Abstract
Background: Surgical site infections (SSIs) represent a significant global public health challenge, contributing substantially to morbidity, mortality and increased healthcare costs. Effective classification and grading systems are crucial for surveillance, risk stratification and guiding clinical management. The Southampton Wound Grading System offers a standardized approach to categorize postoperative wound complications. Methods: This prospective, observational, analytical study was conducted at a tertiary care teaching hospital in south-western India, involving 1000 consecutive patients undergoing elective surgery at the General surgery unit. Post-operative wound infections were identified and graded according to the Southampton Grading System. Data on SSI incidence and grade distribution were collected. Results: The overall incidence of post-operative wound infections was 12.5% (n=125). A majority of infections were detected on Post-operative Day 7 (52%, n=65), followed by Post-operative Day 3 (27.2%, n=34). According to the Southampton Grading System, Grade I infections were the most prevalent (36%, n=45), followed by Grade II (28%, n=35), Grade III (24%, n=30), Grade IV (9.6%, n=12), and Grade V (2.4%, n=3). Conclusions: The distribution across Southampton grades indicates a predominance of milder infections, yet a notable proportion of severe cases. The Southampton Grading System proved to be a practical and effective tool for categorizing and assessing the severity of SSIs, supporting its utility for clinical surveillance and quality improvement initiatives.
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Data Sharing Statement
There are no additional data available. All raw data and code are available upon request.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval.
Acknowledgements
We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.
This license enables
reusers to distribute, remix, adapt, and build upon the material in any medium
or format for noncommercial purposes only, and only so long as attribution is
given to the creator.
This license enables
reusers to distribute, remix, adapt, and build upon the material in any medium
or format for noncommercial purposes only, and only so long as attribution is
given to the creator.