• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Suez Canal Veterinary Medical Journal. SCVMJ
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 30 (2025)
Volume Volume 29 (2024)
Volume Volume 28 (2023)
Issue Issue 2
Issue Issue 1
Volume Volume 27 (2022)
Volume Volume 26 (2021)
Volume Volume 25 (2020)
Volume Volume 24 (2019)
Volume Volume 23 (2018)
Volume Volume 22 (2017)
Volume Volume 21 (2016)
Volume Volume 20 (2015)
Volume Volume 19 (2014)
Volume Volume 18 (2013)
Abdel-Razik, M., Hafez, E., Hassan, M. (2023). Prevalence of Bacterial Infections in Neonatal Intensive Care Unit and Genetic Characterization of Their Drug Resistance. Suez Canal Veterinary Medical Journal. SCVMJ, 28(1), 33-44. doi: 10.21608/scvmj.2023.307329
Mohamed Abdel-Razik; Eslam Aboulhamd Hafez; Mohamed Ahmad Hassan. "Prevalence of Bacterial Infections in Neonatal Intensive Care Unit and Genetic Characterization of Their Drug Resistance". Suez Canal Veterinary Medical Journal. SCVMJ, 28, 1, 2023, 33-44. doi: 10.21608/scvmj.2023.307329
Abdel-Razik, M., Hafez, E., Hassan, M. (2023). 'Prevalence of Bacterial Infections in Neonatal Intensive Care Unit and Genetic Characterization of Their Drug Resistance', Suez Canal Veterinary Medical Journal. SCVMJ, 28(1), pp. 33-44. doi: 10.21608/scvmj.2023.307329
Abdel-Razik, M., Hafez, E., Hassan, M. Prevalence of Bacterial Infections in Neonatal Intensive Care Unit and Genetic Characterization of Their Drug Resistance. Suez Canal Veterinary Medical Journal. SCVMJ, 2023; 28(1): 33-44. doi: 10.21608/scvmj.2023.307329

Prevalence of Bacterial Infections in Neonatal Intensive Care Unit and Genetic Characterization of Their Drug Resistance

Article 3, Volume 28, Issue 1, June 2023, Page 33-44  XML PDF (1.12 MB)
Document Type: Original Article
DOI: 10.21608/scvmj.2023.307329
View on SCiNiTO View on SCiNiTO
Authors
Mohamed Abdel-Razik1; Eslam Aboulhamd Hafez email 2; Mohamed Ahmad Hassan3
1Department of Botany and Microbiology, Faculty of Science, Suez Canal University, Egypt.
2Department of Botany and Microbiology, Faculty of Science, Suez Canal University, Egypt. 3- Department of Pediatrics and Neonatology, Faculty of Medicine, Sohag University, Egypt
3Department of Pediatrics and Neonatology, Faculty of medicine, Sohag University, Egypt
Abstract
Out of the 120 blood samples collected from investigated neonates, 40 samples were positive for bacteria. Blood culture was carried out using BACT/ ALERT (3D 60) then the positive cultures were subculture on MacConkey, Blood, and Sabouraud dextrose agar. Biochemical tests were used to identify the isolates, and the automated Vitek 2 system provided confirmation. The incidence of neonatal sepsis was predominantly due to gram-negative bacteria (75%) mainly K. pneumoniae (60 %), followed that E. coli (7.5 %). While all gram-positive bacteria (25 %) are represented by CONS. As stated by the Clinical and Laboratory Standards Institute (CLSI) guidance, an antimicrobial susceptibility test using the disc diffusion method (Kirby-Bauer) was conducted to select multi-drug resistant bacteria as (ESβL) producers. The ESβL genes responsible for the resistance were detected using the PCR method. It was determined that among ESβL of K. pneumoniae and E. coli, the blaTEM and blaCTX-M genes were the predominant gene (100 %), followed by blaSHV (80 %).
Keywords
NICU; ESBL; Sepsis; K. pneumoniae
Main Subjects
Biology
Statistics
Article View: 142
PDF Download: 269
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.