Background: Surgical site infections (SSIs) remain a major contributor to postoperative morbidity, prolonged hospitalization, and increased healthcare costs. Rising antimicrobial resistance (AMR) among causative pathogens further complicates treatment, underscoring the need for local microbiological surveillance to guide empirical therapy. Objective: To determine the microbial etiology and antimicrobial susceptibility patterns of pathogens isolated from SSIs in postoperative patients. Study Design: Observational cross-sectional study. Setting: Department of Pathology, Allied Hospital, Faisalabad, Pakistan. Duration of Study: July 2022 to December 2022. Methods: A total of 100 wound swabs and pus specimens were collected from adult patients in surgical and orthopedic wards with clinically suspected SSIs. Samples were processed using standard microbiological protocols, and isolates were identified through biochemical testing. Antimicrobial susceptibility was evaluated using the Kirby–Bauer disk diffusion method, following CLSI guidelines. Data were analyzed with SPSS version 17.0. Results: Of the 100 bacterial isolates, 45% were Gram-positive and 55% were Gram-negative organisms. Staphylococcus aureus was the most frequent pathogen (43%), followed by Escherichia coli (36%), Pseudomonas spp. (9%), Proteus spp. (4%), and Klebsiella spp. (3%). S. aureus demonstrated high resistance to penicillin (88%) and ampicillin (82%) but remained fully susceptible to vancomycin (100%) and highly sensitive to linezolid (98%) and amikacin (90%). Gram-negative isolates showed high resistance to ampicillin (96.7%) and cotrimoxazole (93.3%), while colistin (100%), amikacin (88.3%), and meropenem (81%) were the most effective agents. Conclusion: S. aureus and E. coli were the predominant pathogens in SSIs, both exhibiting high resistance to first-line antibiotics. Culture-guided therapy, reinforced infection control practices, and continuous antimicrobial surveillance are critical to improving SSI management and combating AMR in surgical settings.
Noman et al. (Sun,) studied this question.