Literature DB >> 29195583

Risk factors for methicillin-resistant Staphylococcus aureus colonization in the neonatal intensive care unit: A systematic review and meta-analysis.

Matthew Washam1, Jon Woltmann2, Beth Haberman2, David Haslam2, Mary Allen Staat2.   

Abstract

CONTEXT: Methicillin-resistant Staphylococcus aureus (MRSA) causes a significant burden of illness in neonatal intensive care units (NICUs) worldwide. Identifying infants colonized with MRSA has become an important infection control strategy to interrupt nosocomial transmission.
OBJECTIVE: Assess risk factors for MRSA colonization in NICUs via a systematic review and meta-analysis. DATA SOURCES: MEDLINE, Embase, Web of Science, and The Cochrane Library databases were searched from inception through September 2015. STUDY SELECTION: Studies reporting risk factors for MRSA colonization using noncolonized controls in subspecialty level III or IV NICUs were included. DATA EXTRACTION: Two authors independently extracted data on MRSA colonization risk factors, study design, and MRSA screening methodology.
RESULTS: Eleven articles were included in the systematic review, with 10 articles analyzed via meta-analysis. MRSA colonization was associated with gestational age <32 weeks (odds ratio [OR], 2.67; 95% confidence interval [CI], 1.35-5.27; P = .01) and birth weight <1,500 g (OR, 2.63; 95% CI, 1.25-5.55; P = .01). Infant sex (P = .21), race (P = .06), inborn status (P = .09), and delivery type (P = .24) were not significantly associated with colonization.
CONCLUSIONS: Very preterm and very-low birth weight infants were identified as having an increased risk for MRSA colonization on meta-analysis. Multifaceted infection prevention strategies should target these high-risk infants to reduce MRSA colonization rates in NICUs.
Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Colonization; Epidemiology; MRSA; NICU; Risk factors

Mesh:

Year:  2017        PMID: 29195583     DOI: 10.1016/j.ajic.2017.06.021

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  5 in total

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