Antimicrobial Susceptibility Pattern of Escherichia Coli Isolated from Urinary Tract Infected Patients

The most common kind of infection acquired in hospitals is a bacterial urinary tract infection. Additionally, they are to blame for the highest number of patient deaths, hospital stays, and total medical care expenses. Several studies have reported varying degrees of prevalence for Escherichia coli. This study was designed to check the antimicrobial susceptibility pattern of Escherichia coli (E. coli) isolated from urinary tract infected patient. Urine samples were collected and cultured on CLED media to isolate E. coli. Antibiotic susceptibility testing was performed using the Kirby-Bauer disk diffusion method. A total 276 patients were included in this study. E. coli was the most prevalent isolate in both sexes that constitute 116 (42.02%) of total patients. The antimicrobial susceptibility pattern of E. coli against various antibiotics was observed as Fosfomycin showed the highest sensitivity (78.2%), followed by Amikacin (72.6%) and Imipenem (69.1%). In contrast, high resistance was observed with Ampicillin (94.4%), Ceftriaxone (93.5%), and Gentamycin (91.8%). In conclusion, this study offers crucial information about the patterns of antibiotic susceptibility of E. coli isolates from patients with urinary tract infections (UTIs). E. coli strains show resistance to widely used antibiotics, such as beta-lactams, quinolones, cephalosporins and aminoglycosides.

Authors

Institutions

Publication Details

Journal
Physical Education Health and Social Sciences
Published
2025-05-22
DOI
https://doi.org/10.63163/jpehss.v3i2.401
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antimicrobial Susceptibility Pattern of Escherichia Coli Isolated from Urinary Tract Infected Patients

Nosheen Jafar, Hifsa Mobeen, Afsha Bibi, Ali Afzal et al.
Physical Education Health and Social Sciences
Urinary Tract Infections Management
article

Antimicrobial Susceptibility Pattern of Escherichia Coli Isolated from Urinary Tract Infected Patients

Nosheen Jafar, Hifsa Mobeen, Afsha Bibi, Ali Afzal, Asma Fatima, Shah Muhammad Zakariya, Tooba Kashaf
article en

Abstract

The most common kind of infection acquired in hospitals is a bacterial urinary tract infection. Additionally, they are to blame for the highest number of patient deaths, hospital stays, and total medical care expenses. Several studies have reported varying degrees of prevalence for Escherichia coli. This study was designed to check the antimicrobial susceptibility pattern of Escherichia coli (E. coli) isolated from urinary tract infected patient. Urine samples were collected and cultured on CLED media to isolate E. coli. Antibiotic susceptibility testing was performed using the Kirby-Bauer disk diffusion method. A total 276 patients were included in this study. E. coli was the most prevalent isolate in both sexes that constitute 116 (42.02%) of total patients. The antimicrobial susceptibility pattern of E. coli against various antibiotics was observed as Fosfomycin showed the highest sensitivity (78.2%), followed by Amikacin (72.6%) and Imipenem (69.1%). In contrast, high resistance was observed with Ampicillin (94.4%), Ceftriaxone (93.5%), and Gentamycin (91.8%). In conclusion, this study offers crucial information about the patterns of antibiotic susceptibility of E. coli isolates from patients with urinary tract infections (UTIs). E. coli strains show resistance to widely used antibiotics, such as beta-lactams, quinolones, cephalosporins and aminoglycosides.

Physical Education Health and Social SciencesVol. 3(2)
University of Lahore (PK), Superior University (PK)
Openalex Percentile: Top 81%
Urinary Tract Infections Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.