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Prevalence and Antimicrobial Susceptibility Pattern of Pathogens Isolated from Different Age Groups with Urinary Tract Infection at Tangail, Bangladesh
Article | IMSEAR | ID: sea-218923
Background: Urinary tract infections (UTIs) are commonly detected in several hospitals and typical medical health centres. The antibiotic policy must be updated based on current knowledge about causative agents and their antibiotic susceptibility patterns. The goal of this study was to find out exactly how frequently microbes cause urinary infections and their antibiotic susceptibility patterns. Methods: Mid-stream urine samples were analyzed microscopically for a routine examination, and bacterial pathogens were isolated by conventional culture method using Chromogenic UTI media and MacConkey agar culture media. A group of biochemical parameters were utilized for bacterial identification and characterization. Finally, in vitro antimicrobial susceptibility was performed by the Kirby- Bauer disc diffusion methods against 14 commercially available antibiotics. Results: A total of 1288 clinical samples from UTI patients were obtained aseptically, with 398 showing positive growth with a range of bacteria. Females have a higher prevalence of UTI than males. E. coli was the most common pathogen found (82.86%), followed by Enterococcus faecalis (8.44%), Klebsiella pneumoniae (5.63%), Pseudomonas aeruginosa (2.81%), and Proteus mirabilis (0.26%). The majority of the bacteria had a high sensitivity to Meropenem (98.25%); moderate sensitivity to Amoxicillin, Azithromycin, Ciprofloxacin, Gentamicin, Levofloxacin, Ceftriaxone, Cefepime, and Nitrofurantoin; and low sensitivity (20%) to Cefixime, Cephradine, Cefuroxime, Clindamycin, and Trimethoprime. Conclusion: These findings have clinical and epidemiological implications, improving study to identify causative pathogens and pathogen sensitivity patterns in urinary tract infections, as well as clinicians' knowledge of how to choose the best antibiotics and, ultimately, contributing to patient diagnosis and treatment.
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Полный текст: 1 База данных: IMSEAR Год: 2022 Тип: Article
Полный текст: 1 База данных: IMSEAR Год: 2022 Тип: Article