Evidence map›Paper›PMID 35311638›Full record

ArticleInfection control and hospital epidemiology2023

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

Sharline Madera, Nicole McNeil, Paula Hayakawa Serpa, Jack Kamm, Christy Pak, Carolyn Caughell, Amy Nichols, David Dynerman, Lucy M Li, Estella Sanchez-Guerrero and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Investigation and control of a meticillin-resistantInfection prevention in practice · 2026
    Article
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  10. Antibiotic resistance, biofilm formation, and molecular epidemiology of Staphylococcus aureus in a tertiary hospital in Xiangyang, China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  11. Heliyon · 2024
    Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Sharline MaderaDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.ORCID 0000-0003-3658-5488
Nicole McNeil *Department of Hospital Epidemiology and Infection Prevention, University of California, San Francisco, California.
Paula Hayakawa Serpa *Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.
Jack KammGenentech, Redwood City, California.ORCID 0000-0003-2412-756X
Christy PakDepartment of Hospital Epidemiology and Infection Prevention, University of California, San Francisco, California.
Carolyn CaughellDepartment of Hospital Epidemiology and Infection Prevention, University of California, San Francisco, California.
Amy NicholsDepartment of Hospital Epidemiology and Infection Prevention, University of California, San Francisco, California.
David DynermanThe Public Health Company, Santa Barbara, California.
Lucy M LiThe Public Health Company, Santa Barbara, California.ORCID 0000-0002-6562-4004
Estella Sanchez-GuerreroDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.
Maira S PhelpsChan Zuckerberg Biohub, San Francisco, California.
Angela M DetweilerChan Zuckerberg Biohub, San Francisco, California.
Norma NeffChan Zuckerberg Biohub, San Francisco, California.
Helen ReyesDepartment of Laboratory Medicine, University of CaliforniaSan Francisco, California.
Steve A MillerDepartment of Laboratory Medicine, University of CaliforniaSan Francisco, California.
Deborah S YokoeDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.
Joseph L DeRisiDepartment of Biochemistry and Biophysics, University of California, San Francisco, California.
Lynn Ramirez-AvilaDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.
Charles R LangelierDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, California.ORCID 0000-0002-6708-4646
University of California, San Francisco · USChan Zuckerberg Initiative (United States) · USMarker Gene Technologies (United States) · US

Funding

Profiling the Lung Transcriptome for Precision Diagnosis of Respiratory Infections using Host/Pathogen Metagenomic SequencingK23HL138461 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LANGELIER, CHARLES · 2018 to 2021
$718k
NHLBI NIH HHS K23 HL138461
6 · The paper itself

Abstract

backgroundMethicillin-resistant

objectiveImproving our understanding of MRSA transmission dynamics, especially among high-risk patients, is an infection prevention priority.

methodsWe 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).

resultsPhylogenetic 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.

conclusionsSilent 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.

Indexed as

Cross InfectionMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsDisease OutbreaksGenomicsHumansInfantInfant, NewbornInfection ControlIntensive Care Units, NeonatalPhylogenyProspective StudiesVirulence

Identifiers

PMID35311638
PMCPMC12911661
OpenAlexW4220810618

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.