Evidence map›Paper›PMID 32505135›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

MRSA Transmission in Intensive Care Units: Genomic Analysis of Patients, Their Environments, and Healthcare Workers.

Kyle J Popovich, Stefan J Green, Koh Okamoto, Yoona Rhee, Mary K Hayden, Michael Schoeny, Evan S Snitkin, Robert A Weinstein

Open access · greenAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 19% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  15. Textiles as fomites in the healthcare system.Applied microbiology and biotechnology · 2023
    Review
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  17. Molecular concordance of methicillin-resistantInfection control and hospital epidemiology · 2023
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  18. Mitigating hospital-onsetInfection control and hospital epidemiology · 2023
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  19. Methicillin ResistantInfection and drug resistance · 2023
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Kyle J PopovichDivision of Infectious Disease, Rush University Medical Center/Cook County Health, Chicago, Illinois, USA.
Stefan J GreenGenome Research Core, Research Resources Center, University of Illinois at Chicago, Chicago, Illinois, USA.
Koh OkamotoDepartment of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan.
Yoona RheeDivision of Infectious Disease, Rush University Medical Center/Cook County Health, Chicago, Illinois, USA.
Mary K HaydenDivision of Infectious Disease, Rush University Medical Center, Chicago, Illinois, USA.
Michael SchoenyCommunity, Systems, and Mental Health Nursing Rush University Medical Center, Chicago, Illinois, USA.
Evan S SnitkinDepartment of Microbiology and Immunology and Division of Infectious Disease, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Robert A WeinsteinDivision of Infectious Disease, Rush University Medical Center/Cook County Health, Chicago, Illinois, USA.
Rush University Medical Center · USCook County Health and Hospitals System · USUniversity of Illinois Chicago · USUniversity of Michigan–Ann Arbor · USUniversity of Tokyo Hospital · JP

Funding

NCEZID CDC HHS U54 CK000161
6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus (MRSA)-and now USA300 MRSA-is a significant intensive care unit (ICU) pathogen; healthcare worker (HCW) contamination may lead to patient cross-transmission.

methodsFrom September 2015 to February 2016, to study the spread of MRSA, we enrolled HCWs in 4 adult ICUs caring for patients on MRSA contact precautions. Samples were collected from patient body sites and high-touch surfaces in patient rooms. HCW hands, gloves, and personal protective equipment were sampled pre/post-patient encounter. Whole genome sequencing (WGS) was used to compare isolates from patients, HCWs, and environment.

resultsThere were 413 MRSA isolates sequenced (38% USA300, 52% USA100) from 66 patient encounters. Six of 66 HCWs were contaminated with MRSA prior to room entry. Isolates from a single patient encounter were typically either USA100 or USA300; in 8 (12%) encounters both USA300 and USA100 were isolated. WGS demonstrated that isolates from patients, HCWs, and environment often were genetically similar, although there was substantial between-encounter diversity. Strikingly, there were 5 USA100 and 1 USA300 clusters that contained similar strains (<22 single-nucleotide variants [SNVs], with most <10 SNVs) within the cluster despite coming from different encounters, suggesting intra- and inter-ICU spread of strains, that is, 4 of these genomic clusters were from encounters in the same ICU; 5 of 6 clusters occurred within 1 week.

conclusionsWe demonstrated frequent spread of MRSA USA300 and USA100 strains among patients, environment, and HCWs. WGS identified possible spread within and even between ICUs. Future analysis with detailed contact tracing in conjunction with genomic data may further elucidate pathways of MRSA spread and points for intervention.

Indexed as

Cross InfectionMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAdultGenomicsHealth PersonnelHumansInfection ControlIntensive Care UnitsICUMRSAwhole genome sequencing

Identifiers

PMID32505135
PMCPMC8315036
OpenAlexW3033953953

What OpenQuestion holds

Textmetadata
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.