Evidence Hub

Bloodstream Infections in the Neonatal Intensive Care Unit: A Systematic Review of the Literature

Georgia Vogiantzi, Dimitra Metallinou, Μαρία Τίγκα, Άννα Δελτσίδου, Christina Nanou

Cureus, 2024

7 citations

Abstract

Bloodstream infections represent a significant concern in neonatal intensive care units (NICUs), constituting a leading cause of morbidity and mortality among neonates. This study aimed to elucidate the etiology, prevalence, and antimicrobial resistance patterns of bloodstream infections in NICU settings. A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines using the PubMed database to source relevant studies published between 2019 and 2023. Keywords related to bloodstream infections, neonates in NICUs, pathogens, resistance, and susceptibility were employed. Out of the 73 identified articles, eight met the inclusion criteria. Findings revealed a predominance of late-onset sepsis in hospitalized neonates, with Escherichia coli, Klebsiella pneumoniae, coagulase-negative staphylococci, Group B Streptococcus, Acinetobacter species, Serratia marcescens, Staphylococcus aureus, and Enterobacter cloacae being the most commonly isolated pathogens. Antimicrobial susceptibility profiles demonstrated resistance among bacteria to ampicillin, gentamicin, and penicillin, while fungi exhibited resistance to amphotericin B, fluconazole, flucytosine, itraconazole, and voriconazole. These findings underscore the persistent challenge of bloodstream infections in the NICUs, particularly late-onset sepsis, emphasizing the importance of early detection and appropriate antimicrobial therapy in neonatal…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free