Antimicrobial Resistance Patterns in Pediatric Urinary Tract Infections: Insights from Hospitalized Children in Sudan

Introduction: Urinary tract infections (UTIs) are among the most common bacterial diseases in children, affecting 3–5% of girls and 1% of boys, and leading to significant antibiotic exposure in this population. Initial UTI treatment is often empirical, based on symptomatology without microbiological confirmation. Objective: This study aimed to identify the causative agents of UTIs in children, evaluate antimicrobial resistance rates, and recommend appropriate antibiotics. Materials and Methods: A cross-sectional study was conducted on 67 urine samples collected from hospitalized children at Gaafar Bin Ouf Children's Hospital in Khartoum, Sudan. Samples were processed for bacterial isolation, identification, and antimicrobial susceptibility testing using the Kirby-Bauer method. Results: Among the isolates, 24 (35.8%) were Staphylococcus aureus, 20 (29.9%) Klebsiella spp., 14 (20.9%) Escherichia coli, 8 (11.9%) Pseudomonas spp., and 1 (1.5%) Proteus spp. The highest resistance rates were observed for Amoxyclav (68.7%) and Erythromycin (61.2%), while Gentamicin (40.3%), Ciprofloxacin (43.3%), and Penicillin (46.3%) showed lower resistance rates. Conclusion: Staphylococcus aureus was the most common UTI pathogen in hospitalized children, with high resistance rates to Amoxyclav and Erythromycin. These findings highlight the need for regular resistance monitoring and revising empirical antibiotic protocols to improve treatment outcomes.

Authors

Institutions

Publication Details

Journal
Asian Journal of Biology
Published
2025-02-03
DOI
https://doi.org/10.9734/ajob/2025/v21i2478
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 Resistance Patterns in Pediatric Urinary Tract Infections: Insights from Hospitalized Children in Sudan

Ahmet Arman, Husham M Taha Aloob, Abdulrahman M. Ibrahem, Abdelhakam H. Ali et al.
Asian Journal of Biology
Urinary Tract Infections Management
article

Antimicrobial Resistance Patterns in Pediatric Urinary Tract Infections: Insights from Hospitalized Children in Sudan

Ahmet Arman, Husham M Taha Aloob, Abdulrahman M. Ibrahem, Abdelhakam H. Ali, Samia S Mohamed Ismail, Reem Abass Babiker Abass
article en

Abstract

Introduction: Urinary tract infections (UTIs) are among the most common bacterial diseases in children, affecting 3–5% of girls and 1% of boys, and leading to significant antibiotic exposure in this population. Initial UTI treatment is often empirical, based on symptomatology without microbiological confirmation. Objective: This study aimed to identify the causative agents of UTIs in children, evaluate antimicrobial resistance rates, and recommend appropriate antibiotics. Materials and Methods: A cross-sectional study was conducted on 67 urine samples collected from hospitalized children at Gaafar Bin Ouf Children's Hospital in Khartoum, Sudan. Samples were processed for bacterial isolation, identification, and antimicrobial susceptibility testing using the Kirby-Bauer method. Results: Among the isolates, 24 (35.8%) were Staphylococcus aureus, 20 (29.9%) Klebsiella spp., 14 (20.9%) Escherichia coli, 8 (11.9%) Pseudomonas spp., and 1 (1.5%) Proteus spp. The highest resistance rates were observed for Amoxyclav (68.7%) and Erythromycin (61.2%), while Gentamicin (40.3%), Ciprofloxacin (43.3%), and Penicillin (46.3%) showed lower resistance rates. Conclusion: Staphylococcus aureus was the most common UTI pathogen in hospitalized children, with high resistance rates to Amoxyclav and Erythromycin. These findings highlight the need for regular resistance monitoring and revising empirical antibiotic protocols to improve treatment outcomes.

Asian Journal of BiologyVol. 21(2)
University of Dongola (SD), Sudan Medical Specialization Board (SD)
Openalex Percentile: Top 97%
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.