Abstract Issue

Volume 12 Issue 2 ( April- June) 2023

Original Articles

Identification of clinically important aerobic microorganism by automated blood culture system and antimicrobial resistance pattern
Dr. Shivani Sinha, Dr. Gaurav Saxena, Dr. Prafulla Songara, Dr. Atul Kumar

Background: Blood stream infections are important public health problem can lead to life threatening sepsis and require rapid antimicrobial treatment. Emergence of multidrug resistant isolates in hospitalized patients is a major problem. Aim: This study was aimed to detect the blood stream isolates by automated blood culture system and their antimicrobial resistance pattern. Methods: A cross sectional study was conducted in the department of Microbiology. During the study period, blood samples collected from all age group OPD, IPD and ICU patients suspected of bacteremia and septicemia were analyzed. All Gram-negative bacilli, Gram-positive cocci and Yeast were investigated. Identification of isolates and antibiotic susceptibility testing was done by using standard CLSI methods. Result: Around 18.6% of samples were positive for blood stream infections caused by different pathogens. Among Gram positive cocci, coagulase negative staphylococci (CoNS) is commonest followed by Staphylococcus aureus whereas in Gram negative bacilli, Klebsiella pneumoniae was commonest organism followed by E. coli. Majority of the gram positive cocci were most resistance to penicillin and was most sensitive to vancomycin and linezolid. Gram negative isolates of Enterobacteriaceae were least sensitive to cephalosporins while it was most sensitive to Colistin. Conclusion: Early diagnosis of blood stream infections in hospitalized patients is life saving. Hence a continuous monitoring of isolates and their drug susceptibility is the need of the day

 
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