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PRINT ISSN : 2319-7692 Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Bacterial infections are considered as the common causes for the pyogenic infections. Various studies have shown that there is an inconsistency in bacteriological profile of the isolates and antibiotic resistance pattern. This demands for the periodic monitoring of the bacterial isolates and their antimicrobial sensitivity pattern. The present study aims to analyze the bacterial pathogens isolated from the pus samples and their antibiotic susceptibility pattern. This is a prospective, observational, single-centered study, conducted in a tertiary care hospital in Hyderabad for a period of 2 years, from August 2016 to 2018.A total of 410 pus samples were brought to the Microbiology lab from different inpatient and outpatient departments and were processed to identify the pathogens and their anti-microbial sensitivity pattern using Kirby Bauer disc diffusion method. The data analyzed was presented in percentages. Out of 410 samples analyzed, 257 (62.68%) were found to be culture positive. Among 257 culture positive isolates, 56.78% were gram negative bacteria and the rest 43.16% were gram positive bacteria. However, the most commonly isolated pathogens were Staphylococcus aureus followed by Klebsiella and E. coli. The gram positive bacteria were found to be most susceptible to vancomycin and linezolid, whereas gram negative isolates were most susceptible to imipenem, meropenem and colistin. The most common pathogen identified was Staphylococcus aureus. However, gram negative bacteria were predominant. The emerging bacterial resistance for various antimicrobial agents complicates the management of pyogenic infection. Periodic susceptibility data from various studies helps clinicians to select proper antibiotic for the isolates, thus preventing the emergence of the drug resistance stains.
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