This study aims to assess the antibiotic sensitivity pattern of pathogens isolated from clinical specimens collected between January 2023 and March 2023 using standard microbiological methods. Bacteria were isolated from urine, stool, sputum, pus, swabs, blood, and fluids. It was found that Escherichia coli was the most identified pathogen, followed by Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, Candida spp., Acinetobacter baumannii, and Proteus mirabilis/vulgaris. Sensitivity pattern data revealed that Tigecycline was the most effective antibiotic against gram-negative microbes, whereas Vancomycin and Linezolid were effective against gram-positive microbes. Candida spp. was found to be resistant to Clotrimazole. The high prevalence of Escherichia coli as the most identified pathogen raises concerns about the spread of urinary tract infections and the need for effective treatment options. The sensitivity pattern data highlights the importance of choosing the appropriate antibiotics based on the type of microbe to effectively combat these infections and prevent further resistance development.
study of antibiotic sensitivity pattern of infectious microbes isolated from diagnostic laboratory specimens in hisar, haryana
Research Article
DOI:
http://dx.doi.org/10.24327/ijrsr.20231410.0799
Subject:
science
KeyWords:
Antibiotics, Manual method, Bacteria, Sensitivity, Resistance
Abstract: