Evidence map›Paper›PMID 25998499›Full record

ArticleInfection control and hospital epidemiology2015

Whole-genome sequencing for outbreak investigations of methicillin-resistant Staphylococcus aureus in the neonatal intensive care unit: time for routine practice?

Taj Azarian, Robert L Cook, Judith A Johnson, Nilmarie Guzman, Yvette S McCarter, Noel Gomez, Mobeen H Rathore, J Glenn Morris, Marco Salemi

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

  1. Molecular epidemiology of methicillin-resistantFrontiers in microbiology · 2025
    Review
  2. Review
  3. Article
  4. BacARscan: anBiology methods & protocols · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bacterial genome sequencing in clinical microbiology: a pathogen-oriented review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Review
  14. Article
  15. Outbreaks in the neonatal ICU: a review of the literature.Current opinion in infectious diseases · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors.

Taj Azarian1College of Public Health and Health Professions and College of Medicine,Department of Epidemiology,University of Florida,Gainesville,Florida.
Robert L Cook1College of Public Health and Health Professions and College of Medicine,Department of Epidemiology,University of Florida,Gainesville,Florida.
Judith A Johnson3Department of Pathology,Immunology and Laboratory Medicine,University of Florida,Gainesville,Florida.
Nilmarie Guzman4Department of Internal Medicine Division of Infectious Diseases,University of Florida,Jacksonville,Florida.
Yvette S McCarter5Department of Pathology and Laboratory Medicine,University of Florida,Jacksonville,Florida.
Noel Gomez6University of Florida Health Jacksonville,Jacksonville,Florida.
Mobeen H Rathore7University of Florida,Center for HIV/AIDS Research,Education and Service (UF CARES) Gainesville,Florida.
J Glenn Morris2Emerging Pathogens Institute,University of Florida,Gainesville,Florida.
Marco Salemi2Emerging Pathogens Institute,University of Florida,Gainesville,Florida.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

BACKGROUND Infants in the neonatal intensive care unit (NICU) are at increased risk for methicillin-resistant Staphylococcus aureus (MRSA) acquisition. Outbreaks may be difficult to identify due in part to limitations in current molecular genotyping available in clinical practice. Comparison of genome-wide single nucleotide polymorphisms (SNPs) may identify epidemiologically distinct isolates among a population sample that appears homogenous when evaluated using conventional typing methods. OBJECTIVE To investigate a putative MRSA outbreak in a NICU utilizing whole-genome sequencing and phylogenetic analysis to identify recent transmission events. DESIGN Clinical and surveillance specimens collected during clinical care and outbreak investigation. PATIENTS A total of 17 neonates hospitalized in a 43-bed level III NICU in northeastern Florida from December 2010 to October 2011 were included in this study. METHODS We assessed epidemiological data in conjunction with 4 typing methods: antibiograms, PFGE, spa types, and phylogenetic analysis of genome-wide SNPs. RESULTS Among the 17 type USA300 isolates, 4 different spa types were identified using pulsed-field gel electrophoresis. Phylogenetic analysis identified 5 infants as belonging to 2 clusters of epidemiologically linked cases and excluded 10 unlinked cases from putative transmission events. The availability of these results during the initial investigation would have improved infection control interventions. CONCLUSION Whole-genome sequencing and phylogenetic analysis are invaluable tools for epidemic investigation; they identify transmission events and exclude cases mistakenly implicated by traditional typing methods. When routinely applied to surveillance and investigation in the clinical setting, this approach may provide actionable intelligence for measured, appropriate, and effective interventions.

Indexed as

Disease OutbreaksIntensive Care Units, NeonatalBacterial Typing TechniquesElectrophoresis, Gel, Pulsed-FieldFemaleFloridaGenomeHumansInfant, NewbornInfection ControlMaleMethicillin-Resistant Staphylococcus aureusPhylogenyPolymorphism, Single NucleotideStaphylococcal Infections

Identifiers

PMID25998499
PMCPMC4507300

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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.