Antibiotic Susceptibility Pattern And Esbl Prevalence In Nosocomial Escherichia Coli From Urinary Tract Infection In Kpk, Peshawar

The study aimed to evaluate antibiotic susceptibility patterns and extended-spectrum beta-lactamase prevalence in Escherichia coli isolated from urinary tract infections. Total fifty (50) samples of E. coli were obtained from urinary tract infection specimens in Hayatabad Medical Complex and private clinics in Peshawar, Pakistan. The present study obtained 50 E. coli isolates from 100 UTI specimens. The plates were incubated at 35 to 37°C for 24 to 48 hours. Different biochemical tests were carried out to identify the isolates. Antibiotic susceptibility testing and ESBL screening were done per the CLSI (2023) guidelines. The disc diffusion method was used to determine the antibiotic sensitivity pattern. In the present study, the highest ratio was 64 % (n=32), isolates showed resistance to 10 or more antibiotics, indicating them to be multi-drug resistant (MDR) isolates. Among the isolated E. coli strains, 64 % (n=32) were found to be ESBL producers, while the remaining 20 % (10) were found to be non-producers. Out of these 32 ESBL producer isolates, 09 (28.12 %) were positive on the confirmatory test, while the remaining 23(46 %) isolates were negative on the confirmatory test. Our result showed that (78 %) were sensitive to polymyxin B, while (70 %) were susceptible to Gentamicin and cefoperazone/sulbactam. Total (64 %) of the E. coli strains were ESBL producers. It was found that 32 % of ESBL-positive isolates were resistant to various types of antibiotics.

Publication Details

Journal
Journal of Bioresource Management
Published
2024-09-30
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic Susceptibility Pattern And Esbl Prevalence In Nosocomial Escherichia Coli From Urinary Tract Infection In Kpk, Peshawar

Journal of Bioresource Management
Antibiotic Resistance in Bacteria
article

Antibiotic Susceptibility Pattern And Esbl Prevalence In Nosocomial Escherichia Coli From Urinary Tract Infection In Kpk, Peshawar

article en

Abstract

The study aimed to evaluate antibiotic susceptibility patterns and extended-spectrum beta-lactamase prevalence in Escherichia coli isolated from urinary tract infections. Total fifty (50) samples of E. coli were obtained from urinary tract infection specimens in Hayatabad Medical Complex and private clinics in Peshawar, Pakistan. The present study obtained 50 E. coli isolates from 100 UTI specimens. The plates were incubated at 35 to 37°C for 24 to 48 hours. Different biochemical tests were carried out to identify the isolates. Antibiotic susceptibility testing and ESBL screening were done per the CLSI (2023) guidelines. The disc diffusion method was used to determine the antibiotic sensitivity pattern. In the present study, the highest ratio was 64 % (n=32), isolates showed resistance to 10 or more antibiotics, indicating them to be multi-drug resistant (MDR) isolates. Among the isolated E. coli strains, 64 % (n=32) were found to be ESBL producers, while the remaining 20 % (10) were found to be non-producers. Out of these 32 ESBL producer isolates, 09 (28.12 %) were positive on the confirmatory test, while the remaining 23(46 %) isolates were negative on the confirmatory test. Our result showed that (78 %) were sensitive to polymyxin B, while (70 %) were susceptible to Gentamicin and cefoperazone/sulbactam. Total (64 %) of the E. coli strains were ESBL producers. It was found that 32 % of ESBL-positive isolates were resistant to various types of antibiotics.

Journal of Bioresource Management
Good health and well-being
Openalex Percentile: Top 66%
Antibiotic Resistance in Bacteria
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.