Evidence Hub

Antimicrobial Resistance in Escherichia coli Causing Urinary Tract Infection: A Four-Year Study

Anushka V. Devnikar, S. Solabannavar, Suresh B. Sonth, Anand B. Janagond, S. Gokale, Arati Bhurle

Journal of Pure and Applied Microbiology, 2024

4 citations

Abstract

Urinary tract infections (UTIs) are among the most frequently encountered infections for which individuals seek medical attention. They are usually ascending infections and if left untreated the causative agent can ascend the ureters causing pyelonephritis and, furthermore, enter the bloodstream causing systemic infections and urosepsis. Appropriate treatment prevents progression of disease. Escherichia coli is responsible for 80-95% cases of UTI. This study was undertaken to study the antimicrobial resistance among Escherichia coli isolated from patients suffering from UTI over 4 years at a tertiary level medical facility. A retrospective case series study was conducted. All UTI with significant bacteriuria due to E. coli were included in the study. Identification, speciation and antimicrobial susceptibility testing was done as per standard laboratory practices. A total of 555 strains of Escherichia coli were included in the study. Overall highest resistance rates for E. coli were seen among cephalosporins and fluoroquinolones while least overall resistance was seen for nitrofurantoin. There was gradual rise in resistance for carbapenem over the 4 years. The predominant microorganism responsible for all types of infections affecting the urinary tract is Escherichia coli. Empirical antimicrobial therapy for urinary tract infections may be unsuccessful, as resistance rates among E. coli are constantly increasing. The present study provides information regarding the…

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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