Evidence map›Paper›PMID 30796628›Full record

ArticleInfection2019

Genomic epidemiology of MRSA infection and colonization isolates among military trainees with skin and soft tissue infection.

Eugene V Millar, Gregory K Rice, Carey D Schlett, Emad M Elassal, Regina Z Cer, Kenneth G Frey, Theron Hamilton, Michael W Ellis, David R Tribble, Kimberly A Bishop-Lilly and 1 more

Open access · greenAbstract read
In one paragraph

Article in Infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. 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

11 authors at 5 institutions in 1 country.

Eugene V MillarInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. emillar@idcrp.org.ORCID http://orcid.org/0000-0002-2019-6480
Gregory K RiceLeidos, Reston, VA, USA.
Carey D SchlettInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Emad M ElassalInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Regina Z CerLeidos, Reston, VA, USA.
Kenneth G FreyNaval Medical Research Center, Biological Defense Research Directorate, Fort Detrick, MD, USA.
Theron HamiltonNaval Medical Research Center, Biological Defense Research Directorate, Fort Detrick, MD, USA.
Michael W EllisUniversity of Toledo College of Medicine and Life Sciences, Toledo, OH, USA.
David R TribbleInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Kimberly A Bishop-LillyNaval Medical Research Center, Biological Defense Research Directorate, Fort Detrick, MD, USA.
Jason W BennettWalter Reed Army Institute of Research, Silver Spring, MD, USA.
Henry M. Jackson Foundation · USNaval Medical Research Command · USLeidos (United States) · USUniformed Services University of the Health Sciences · USUniversity of Toledo · US

Funding

Military Infectious Disease Research Program HT9404-12-1-0012NIAID NIH HHS Y01 AI005072U.S. Department of Defense HT9404-12-1-0019U.S. Department of Defense HU0001-10-1-0018
6 · The paper itself

Abstract

purposeIndividuals with methicillin-resistant Staphylococcus aureus (MRSA) skin and soft tissue infection (SSTI) can be simultaneously colonized with MRSA on multiple body sites. Using whole genome sequencing (WGS), the intrahost relatedness of MRSA colonization and infection isolates was investigated.

methodsIn the context of a prospective case-control study of SSTI, we analyzed colonization and infection isolates from US Army Infantry trainees with purulent infection due to MRSA. At the time of clinical presentation for SSTI, culture swabs were obtained from the infection site, as well as from the patient's nasal, oral, inguinal, and perianal regions. S. aureus culture and susceptibility was performed by standard methods. DNA from MRSA isolates was extracted and libraries were produced. Sequences were generated on an Illumina MiSeq, sequence reads were assembled, and single nucleotide variant (SNV) data were analyzed.

resultsOf 74 trainees with MRSA SSTI, 19 (25.7%) were colonized with MRSA. Ten (52.6%) were colonized on more than one body site. Colonization frequency by anatomic site was as follows: inguinal region (33%), nasal region (30%), perianal region (22%), and oral region (14%). A total of 36 MRSA colonization isolates were characterized. The intrahost median number of SNVs between infection and colonization isolates was 17. Among trainees with recurrent MRSA SSTI, limited intrahost diversity suggests that persistent colonization is a major contributor to recurrence risk.

conclusionsAmong military trainees with MRSA SSTI, genomic characterization of infection and colonization isolates revealed a high degree of strain relatedness. Single acquisition events may account for MRSA colonization and infection in this population.

Indexed as

AdolescentAdultCase-Control StudiesDNA, BacterialGenomicsHumansMaleMethicillin-Resistant Staphylococcus aureusMilitary PersonnelPolymorphism, Single NucleotideProspective StudiesRisk FactorsSoft Tissue InfectionsStaphylococcal Skin InfectionsUnited StatesWhole Genome SequencingDNA, BacterialColonizationGenomicsMethicillin-resistant Staphylococcus aureus (MRSA)MilitarySkin and soft tissue infectionWhole genome sequencing

Identifiers

PMID30796628
PMCPMC11915751
OpenAlexW2916619794

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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.