The Bacterial Profile and Antimicrobial Susceptibility Patterns of Urinary Tract Infection Patients at Pawe General Hospital, Northwest Ethiopia.


Journal

Scientifica
ISSN: 2090-908X
Titre abrégé: Scientifica (Cairo)
Pays: Egypt
ID NLM: 101589932

Informations de publication

Date de publication:
2022
Historique:
received: 03 11 2021
revised: 24 02 2022
accepted: 02 04 2022
entrez: 5 5 2022
pubmed: 6 5 2022
medline: 6 5 2022
Statut: epublish

Résumé

Urinary tract infection remains the most common infection widespread worldwide in both community and hospital settings. Rapidly increasing antibiotic resistance of uropathogens is resulting in limited treatment options. Thus, understanding the current uropathogens and their antimicrobial susceptibilities is essential for effective urinary tract infection treatment. The purpose of this study was to isolate, characterize, and determine the antimicrobial susceptibility patterns of bacterial pathogens associated with urinary tract infection at Pawe General Hospital in Northwest Ethiopia. A hospital-based cross-sectional study design was conducted from January to April, 2020, at Pawe General Hospital. Midstream urine specimens were collected from 141 individuals with suspected urinary tract infection for bacteriological identification and antimicrobial susceptibility testing. Among the 141 study participants, twenty-nine (20.6%) showed significant bacteriuria.

Identifiants

pubmed: 35509515
doi: 10.1155/2022/3085950
pmc: PMC9061053
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3085950

Informations de copyright

Copyright © 2022 Abayeneh Girma and Aleka Aemiro.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest.

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Auteurs

Abayeneh Girma (A)

Department of Biology, College of Natural and Computational Science, Mekdela Amba University, P.O. Box 32, Tuluawlia, Ethiopia.

Aleka Aemiro (A)

Department of Biology, College of Natural and Computational Science, Mekdela Amba University, P.O. Box 32, Tuluawlia, Ethiopia.

Classifications MeSH