Evidence map›Paper›PMID 31145725›Full record

ArticlePLoS computational biology2019

Close proximity interactions support transmission of ESBL-K. pneumoniae but not ESBL-E. coli in healthcare settings.

Audrey Duval, Thomas Obadia, Pierre-Yves Boëlle, Eric Fleury, Jean-Louis Herrmann, Didier Guillemot, Laura Temime, Lulla Opatowski, i-Bird Study group

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  10. Risk factors for antibiotic resistance and mortality in patients with bloodstream infection of Escherichia coli.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
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  16. Long-Lasting Decrease of the Acquisition ofInternational journal of environmental research and public health · 2020
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  17. Article
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.

Audrey DuvalEquipe PheMI, unité B2PHI, Inserm, Université de Versailles Saint Quentin, Institut Pasteur,Paris, France.ORCID 0000-0002-1376-4101
Thomas ObadiaMalaria: Parasites & Hosts Unit, Department of Parasites & Insect Vectors, Institut Pasteur,Paris, France.
Pierre-Yves BoëlleSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, PARIS France.ORCID 0000-0002-5367-8232
Eric FleuryUniv Lyon, Cnrs, ENS de Lyon, Inria, UCB Lyon 1, LIP UMR 5668, Lyon, FRANCE.ORCID 0000-0003-2725-2606
Jean-Louis HerrmannINSERM U1173, UFR Simone Veil, Versailles-Saint-Quentin University, Saint-Quentin en Yvelines, France AP-HP, Service de Microbiologie, Hôpital Raymond Poincaré, Garches, France.
Didier GuillemotEquipe PheMI, unité B2PHI, Inserm, Université de Versailles Saint Quentin, Institut Pasteur,Paris, France.
Laura TemimeLaboratoire MESuRS, Conservatoire national des Arts et Métiers, Paris, France.ORCID 0000-0002-8850-5403
Lulla OpatowskiEquipe PheMI, unité B2PHI, Inserm, Université de Versailles Saint Quentin, Institut Pasteur,Paris, France.ORCID 0000-0001-8348-700X
i-Bird Study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic-resistance of hospital-acquired infections is a major public health issue. The worldwide emergence and diffusion of extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, including Escherichia coli (ESBL-EC) and Klebsiella pneumoniae (ESBL-KP), is of particular concern. Preventing their nosocomial spread requires understanding their transmission. Using Close Proximity Interactions (CPIs), measured by wearable sensors, and weekly ESBL-EC-and ESBL-KP-carriage data, we traced their possible transmission paths among 329 patients in a 200-bed long-term care facility over 4 months. Based on phenotypically defined resistance profiles to 12 antibiotics only, new bacterial acquisitions were tracked. Extending a previously proposed statistical method, the CPI network's ability to support observed incident-colonization episodes of ESBL-EC and ESBL-KP was tested. Finally, mathematical modeling based on our findings assessed the effect of several infection-control measures. A potential infector was identified in the CPI network for 80% (16/20) of ESBL-KP acquisition episodes. The lengths of CPI paths between ESBL-KP incident cases and their potential infectors were shorter than predicted by chance (P = 0.02), indicating that CPI-network relationships were consistent with dissemination. Potential ESBL-EC infectors were identified for 54% (19/35) of the acquisitions, with longer-than-expected lengths of CPI paths. These contrasting results yielded differing impacts of infection control scenarios, with contact reduction interventions proving less effective for ESBL-EC than for ESBL-KP. These results highlight the widely variable transmission patterns among ESBL-producing Enterobacteriaceae species. CPI networks supported ESBL-KP, but not ESBL-EC spread. These outcomes could help design more specific surveillance and control strategies to prevent in-hospital Enterobacteriaceae dissemination.

Indexed as

AdultAgedAnti-Bacterial Agentsbeta-LactamasesCross InfectionDisease Transmission, InfectiousDrug Resistance, BacterialDrug Resistance, MicrobialEnterobacteriaceaeEscherichia coliEscherichia coli InfectionsFemaleHospitalsHumansInfection ControlKlebsiella pneumoniaeAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID31145725
PMCPMC6542504

What OpenQuestion holds

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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.