Evidence map›Paper›PMID 27105754›Full record

ArticleThe Journal of hospital infection2016

Monitoring the spread of meticillin-resistant Staphylococcus aureus in The Netherlands from a reference laboratory perspective.

T Donker, T Bosch, R J F Ypma, A P J Haenen, W M van Ballegooijen, M E O C Heck, L M Schouls, J Wallinga, H Grundmann

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spread of Carbapenem-ResistantMicroorganisms · 2019
    Article
  5. Epidemiology and control of meticillin-resistant Staphylococcus aureus in Stockholm County, Sweden, 2000 to 2016: overview of a "search-and-contain" strategy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  6. Article
  7. Article
  8. Frequent Undetected Ward-Based Methicillin-Resistant Staphylococcus aureus Transmission Linked to Patient Sharing Between Hospitals.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Observational
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.

T DonkerUniversity Medical Center Groningen, University of Groningen, Groningen, The Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. Electronic address: tjibbe.donker@ndm.ox.ac.uk.
T BoschNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
R J F YpmaNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
A P J HaenenNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
W M van BallegooijenNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
M E O C HeckNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
L M SchoulsNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
J WallingaNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
H GrundmannUniversity Medical Center Groningen, University of Groningen, Groningen, The Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.

Funding

Medical Research Council G1000803
6 · The paper itself

Abstract

backgroundIn The Netherlands, efforts to control meticillin-resistant Staphylococcus aureus (MRSA) in hospitals have been largely successful due to stringent screening of patients on admission and isolation of those that fall into defined risk categories. However, Dutch hospitals are not free of MRSA, and a considerable number of cases are found that do not belong to any of the risk categories. Some of these may be due to undetected nosocomial transmission, whereas others may be introduced from unknown reservoirs.

aimIdentifying multi-institutional clusters of MRSA isolates to estimate the contribution of potential unobserved reservoirs in The Netherlands.

methodsWe applied a clustering algorithm that combines time, place, and genetics to routine data available for all MRSA isolates submitted to the Dutch Staphylococcal Reference Laboratory between 2008 and 2011 in order to map the geo-temporal distribution of MRSA clonal lineages in The Netherlands.

findingsOf the 2966 isolates lacking obvious risk factors, 579 were part of geo-temporal clusters, whereas 2387 were classified as MRSA of unknown origin (MUOs). We also observed marked differences in the proportion of isolates that belonged to geo-temporal clusters between specific multi-locus variable number of tandem repeat analysis (MLVA) clonal complexes, indicating lineage-specific transmissibility. The majority of clustered isolates (74%) were present in multi-institutional clusters.

conclusionThe frequency of MRSA of unknown origin among patients lacking obvious risk factors is an indication of a largely undefined extra-institutional but genetically highly diverse reservoir. Efforts to understand the emergence and spread of high-risk clones require the pooling of routine epidemiological information and typing data into central databases.

Indexed as

Disease Transmission, InfectiousMolecular TypingCluster AnalysisCross InfectionEpidemiological MonitoringGenetic VariationHumansMethicillin-Resistant Staphylococcus aureusMolecular EpidemiologyNetherlandsSpatio-Temporal AnalysisStaphylococcal InfectionsSurveys and QuestionnairesAlgorithmEpidemiologyMeticillin-resistant Staphylococcus aureusSurveillance

Identifiers

PMID27105754
PMCPMC4964845

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.