Evidence map›Paper›PMID 32579600›Full record

ArticlePloS one2020

Comprehensive integrated NGS-based surveillance and contact-network modeling unravels transmission dynamics of vancomycin-resistant enterococci in a high-risk population within a tertiary care hospital.

Bernd Neumann, Jennifer K Bender, Benjamin F Maier, Alice Wittig, Stephan Fuchs, Dirk Brockmann, Torsten Semmler, Hermann Einsele, Sabrina Kraus, Lothar H Wieler and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  10. Spread of the novel vancomycin-resistantEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Observational
  11. Article
  12. Article
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  15. Genomic characterization of vancomycin-resistantFrontiers in microbiology · 2023
    Article
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  19. Review
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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

12 authors at 3 institutions in 1 country.

Bernd NeumannDivision of Nosocomial Pathogens and Antibiotic Resistance, Robert Koch Institute, Wernigerode, Germany.ORCID 0000-0002-3580-2105
Jennifer K BenderDivision of Nosocomial Pathogens and Antibiotic Resistance, Robert Koch Institute, Wernigerode, Germany.
Benjamin F MaierComputational Epidemiology, Robert Koch Institute, Berlin, Germany.ORCID 0000-0001-7414-8823
Alice WittigComputational Epidemiology, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-0578-8752
Stephan FuchsDivision of Nosocomial Pathogens and Antibiotic Resistance, Robert Koch Institute, Wernigerode, Germany.
Dirk BrockmannComputational Epidemiology, Robert Koch Institute, Berlin, Germany.
Torsten SemmlerMicrobial Genomics, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-2225-7267
Hermann EinseleDepartment of Internal Medicine II, University Hospital Würzburg, Wüzburg, Germany.
Sabrina KrausDepartment of Internal Medicine II, University Hospital Würzburg, Wüzburg, Germany.
Lothar H WielerRobert Koch Institute, Berlin, Germany.ORCID 0000-0003-4365-3717
Ulrich VogelInstitute for Hygiene and Microbiology, Julius-Maximilians University Würzburg, Würzburg, Germany.
Guido WernerDivision of Nosocomial Pathogens and Antibiotic Resistance, Robert Koch Institute, Wernigerode, Germany.
Robert Koch Institute · DEUniversitätsklinikum Würzburg · DEInstitute of Medical Microbiology and Hygiene · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vancomycin-resistant E. faecium (VRE) are an important cause of nosocomial infections, which are rapidly transmitted in hospitals. To identify possible transmission routes, we applied combined genomics and contact-network modeling to retrospectively evaluate routine VRE screening data generated by the infection control program of a hemato-oncology unit. Over 1 year, a total of 111 VRE isolates from 111 patients were collected by anal swabs in a tertiary care hospital in Southern Germany. All isolated VRE were whole-genome sequenced, followed by different in-depth bioinformatics analyses including genotyping and determination of phylogenetic relations, aiming to evaluate a standardized workflow. Patient movement data were used to overlay sequencing data to infer transmission events and strain dynamics over time. A predominant clone harboring vanB and exhibiting genotype ST117/CT469 (n = 67) was identified. Our comprehensive combined analyses suggested intra-hospital spread, especially of clone ST117/CT469, despite of extensive screening, single room placement, and contact isolation. A new interactive tool to visualize these complex data was designed. Furthermore, a patient-contact network-modeling approach was developed, which indicates both the periodic import of the clone into the hospital and its spread within the hospital due to patient movements. The analyzed spread of VRE was most likely due to placement of patients in the same room prior to positivity of screening. We successfully demonstrated the added value for this combined strategy to extract well-founded knowledge from interdisciplinary data sources. The combination of patient-contact modeling and high-resolution typing unraveled the transmission dynamics within the hospital department and, additionally, a constant VRE influx over time.

Indexed as

AlgorithmsAnti-Bacterial AgentsContact TracingCross InfectionEnterococcus faeciumGermanyGram-Positive Bacterial InfectionsHigh-Throughput Nucleotide SequencingHumansInfection ControlModels, TheoreticalPhylogenyPopulation DynamicsPopulation SurveillanceRetrospective StudiesTertiary Care CentersAnti-Bacterial AgentsVancomycin

Identifiers

PMID32579600
PMCPMC7314025
OpenAlexW3037947663

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.