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Background: Bacterial infection is accountable for high rates of infectious disease and death worldwide. The insufficient use, use too much and misapply of antibiotics led to development and prevalence of strains of bacteria that resistant of antibiotics. The increase in the prevalence of antibiotic-resistant pathogens implies having fewer antimicrobial agents to treat infections caused by these bacteria.
Objectives: In this research study, we aimed to study the sensitivity and resistance of bacterial species to different antibiotic.
Methods: Three hundred and seventy different clinical samples collected from different suspected patients with bacterial infection during the period between January 2021 and March 2021 (first trimester of 2021) in Hindia Hospital in Kerbala governorate/ Iraq, were documented. The identification of microorganisms was conducted according to standard microbiological procedures. To made antibiotics sensitivity testing, we prepare pure culture to isolated bacteria. According to Clinical and Laboratory Standards Institute (CLSI) guidelines, Antibiotics sensitivity testing was performed by using the Kirby-Bauer disk diffusion method, and the results were interpreted.
Results: After culturing and identifying the samples by bacteriological procedures. our results showed five predominate bacteria are Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, streptococcus spp. And Shigella spp. The antibiotics sensitivity pattern was identified after isolation of bacteria. The Escherichia coli strains were found highly sensitive to meropenem (84%) and a good sensitive to Levofloxacin (68%) and Nitrofurantoin (64 %) while its highly resistance to Amoxicillin, Erythromycin, Vancomycin, Novobiocin, Trimethoprim-sulfamethoxazole, Cefotaxime, Cefepime and Tetracycline and moderate to Ciprofloxacin, Azithromycin and Gentamicin.
Conclusions: we conclude in this study that the most common type infections are urinary tract infections (UTI). While the most common causative agent is E. Coli. Meropenem was found to of a wide spectrum range that worked on a multiple array of species of multiple bacteria.