Identification and Antimicrobial Susceptibility Profile of Bacterial Pathogens Isolated From Wound Infections in a Teaching Hospital, Peshawar, Pakistan

Ibrar khan, Naveed Sarwar, Bashir Ahmad, Sadiq Azam, Noor Rehman

Abstract


Background: The resistance profile of bacteria causing wound infections may vary from time to time in a given geographical location. The key objective of this study was to determine the prevalent aerobic and or facultative anaerobic bacterial types and their antibiogram to commonly prescribed antibiotics.

Methods: Pus, drainage or wound swabs from various body parts of 200 patients were aseptically collected from Khyber Teaching Hospital (KTH) and processed by standard microbiological techniques for identification of bacterial isolates and later antimicrobial susceptibility profile was determined as per Clinical and Laboratory Standard Institute (CLSI) guidelines by using Kirby-Bauer method.

Results: Out of 200 clinical wound specimens processed, Staphylococcus aureus was the most common bacterial pathogen isolated (n=100, 50%), followed by Escherichia coli (n=45, 22.5%),Pseudomonas aeruginosa (n=35, 17.5%), Enterobacter species (n=14, 7%), Proteus species (n=5, 2.5%) and Morganella species (n=1, 0.5%). Staphylococcus aureus (n=100) showed highest resistance to amoxicillin (82%), followed by ofloxacin (80%), sparfloxacin (78%), ciprofloxacin (71%), levofloxacin (46%) and Gentamicin (34%). Out of 100 S. aureus isolates methicillin and vancomycin resistance was found to be in 1.5 and 2% of the isolates, respectively. Among Gram negative isolates (n=100) the vast majority were resistant to augmentin, followed by cephalosporins, quinolones and almost fairly susceptible to carbapenems, cefoperazone + sulbactam and aminoglycosides.

Conclusion: There is a need for judicious use of antibiotics in clinical setup. The periodic monitoring of bacterial pathogens and their susceptibility profile is very helpful in understanding the resistance phenotypes in a given area which ultimately help physicians in selecting suitable empirical therapy.


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DOI: http://dx.doi.org/10.62940/als.v5i1.426

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