Prolonged silent carriage, genomic virulence potential and transmission between staff and patients characterize a neonatal intensive care unit (NICU) outbreak of methicillin-resistant Staphylococcus aureus (MRSA)

  • Sharline Madera
  • , Nicole McNeil
  • , Paula Hayakawa Serpa
  • , Jack Kamm
  • , Christy Pak
  • , Carolyn Caughell
  • , Amy Nichols
  • , David Dynerman
  • , Lucy M. Li
  • , Estella Sanchez-Guerrero
  • , Maira S. Phelps
  • , Angela M. Detweiler
  • , Norma Neff
  • , Helen Reyes
  • , Steve A. Miller
  • , Deborah S. Yokoe
  • , Joseph L. DeRisi
  • , Lynn Ramirez-Avila
  • , Charles R. Langelier

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Methicillin-resistant Staphylococcus aureus (MRSA) is an important pathogen in neonatal intensive care units (NICU) that confers significant morbidity and mortality. Objective: Improving our understanding of MRSA transmission dynamics, especially among high-risk patients, is an infection prevention priority. Methods: We investigated a cluster of clinical MRSA cases in the NICU using a combination of epidemiologic review and whole-genome sequencing (WGS) of isolates from clinical and surveillance cultures obtained from patients and healthcare personnel (HCP). Results: Phylogenetic analysis identified 2 genetically distinct phylogenetic clades and revealed multiple silent-transmission events between HCP and infants. The predominant outbreak strain harbored multiple virulence factors. Epidemiologic investigation and genomic analysis identified a HCP colonized with the dominant MRSA outbreak strain who cared for most NICU patients who were infected or colonized with the same strain, including 1 NICU patient with severe infection 7 months before the described outbreak. These results guided implementation of infection prevention interventions that prevented further transmission events. Conclusions: Silent transmission of MRSA between HCP and NICU patients likely contributed to a NICU outbreak involving a virulent MRSA strain. WGS enabled data-driven decision making to inform implementation of infection control policies that mitigated the outbreak. Prospective WGS coupled with epidemiologic analysis can be used to detect transmission events and prompt early implementation of control strategies.

Original languageEnglish
Pages (from-to)40-46
Number of pages7
JournalInfection control and hospital epidemiology
Volume44
Issue number1
DOIs
StatePublished - Jan 21 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

ASJC Scopus Subject Areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases

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