Published: 2019-05-23

Antimicrobial sensitivity pattern from clinical isolates at a tertiary care teaching hospital of rural Bengal: a pilot study

Tapashi Ghosh, Sabyasachi Saha, Ananya Mandal, Nikhil Tudu, Jayanta Bikash De


Background: Antimicrobial sensitivity pattern from clinical isolates can reveal important information that can help in drafting the hospital antibiotic policy as well as help improve prescribing patterns and patient outcome in a particular region.

Methods: Data from the results of the antimicrobial sensitivity pattern of clinical isolates of the patients between 1stJuly and 31st December 2018 were collected on a pre-designed and pre tested case study form and analysed with the help of descriptive statistics.

Results: A total of 75 blood culture reports were obtained which showed 58 gram positive cultures. Further 46 of the gram positive samples were positive for Coagulase negative Staphylococcus. A total of 305 urine samples were obtained for culture which showed gram negative cultures. Paediatric and medicine wards were the common yielding sites. A total of 242 pus reports were obtained which showed 47 gram positive cultures. A total of 154 wound swab samples were obtained which showed 47 gram positive cultures. For pus and wound swab samples, surgery wards were the common yielding sites. Common gram negative organisms seen were Klebsiella sp., E. coli, Citrobacter sp., Pseudomonas, Proteus and Enterobacter. Gram positive organisms were commonly resistant to Erythromycin, orally active Penicillins, Vancomycin and Teicoplanin and gram negative organisms were commonly resistant to Cephalosporins, Aminoglycosides, Colistin, Fluroquinolones and Meropenem.

Conclusions: This study showed that over six months samples of body pus, wound swab, blood culture and urine showed high levels of resistance to commonly used antibiotics. This would provide an outline for development of an effective hospital Infection Control Policy.


Antibiogram, Antimicrobial sensitivity pattern, Antimicrobial resistance, Bacteria, Kirby Bauer Method

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