Evidence Hub

Bacteriological profile and sensitivity pattern of urinary tract infection patients in north east part of Bangladesh

Guljar Hossain, Enayet Hossain, Ferdaus Ahammed, Mohammed Ruhul Kabir, Gobinda Karmaker, Iqbal A. Chowdhury, Mirza M. Mursalin, Atonu Das

International Journal of Advances in Medicine, 2020

100 participants · 4 citations

Abstract

Background: Urinary tract infection (UTI) is one of the most important causes of bacterial infections across the globe. Increasing antibiotic resistance among urinary pathogens to commonly prescribed drugs has become a therapeutic challenge. Periodic evaluation of antimicrobial activity of different antibiotics is essential as the pattern of antibiotic sensitivity may vary over periods.Methods: This cross-sectional study was undertaken in the Department of Medicine, Sylhet MAG Osmani Medical College, Sylhet from January 2019 to June 2019 among 100 adult patients admitted Medicine indoor Department confirmed as UTI on the basis of symptoms, signs and compatible investigation, urine culture either positive or negative.Results: Out of the total 100 urine samples 60 samples were positive for pathogenic organisms. Escherichia coli was isolated in 41 (68.3%) of the positive samples, followed by Klebsiella sp 13 (21.6%), Pseudomonas sp 3 (5%) Proteus sp 2 (3.3%) staph. Aureus 1 (1.66%). E coli was found to be most sensitive to nitrofurantoin (92.5%), meropenem (92.5%), amikacin (84.6%) and gentamycin (71.8%) and resistant to most commonly used drugs like cefixime (78%), cefuroxime (77.5%), ciprofloxacin (62.5%), ceftriaxone (62.5%).Conclusions: Mainly gram-negative bacilli are found to be responsible for UTI and most frequent isolated bacteria was E-coli. The most sensitive antibiotics were nitrofurantoin, meropenem, and amikacin& gentamycin. Frequently usedantibiotic like…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 100 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free