Evidence map›Paper›PMID 26262679›Full record

ArticlePloS one2015

Antibiotic Exposure and Other Risk Factors for Antimicrobial Resistance in Nasal Commensal Staphylococcus aureus: An Ecological Study in 8 European Countries.

Evelien M E van Bijnen, John Paget, Elly S M de Lange-de Klerk, Casper D J den Heijer, Ann Versporten, Ellen E Stobberingh, Herman Goossens, François G Schellevis, collaboration with the APRES Study Team

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. Review
  9. Identification ofAntibiotics (Basel, Switzerland) · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Carriage of Methicillin-resistantComparative medicine · 2019
    Article
  17. Article
  18. Prevalence of methicillin-resistantInfection and drug resistance · 2019
    Article
  19. Prevalence ofInfection and drug resistance · 2019
    Article
  20. 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.

Evelien M E van BijnenNIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
John PagetNIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
Elly S M de Lange-de KlerkVU University Medical Centre, Department of Epidemiology and Biostatistics, Amsterdam, The Netherlands.
Casper D J den HeijerMaastricht University Medical Centre, Department of Medical Microbiology, School for Public Health and Primary Care (CAPHRI), Maastricht, The Netherlands.
Ann VersportenUniversity of Antwerp, Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), Antwerp, Belgium.
Ellen E StobberinghUniversity of Antwerp, Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), Antwerp, Belgium.
Herman GoossensUniversity of Antwerp, Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), Antwerp, Belgium.
François G SchellevisNIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands; VU University Medical Centre, Department of General Practice and Elderly Care Medicine/EMGO Institute for Health and Care Research, Amsterdam, The Netherlands.
collaboration with the APRES Study Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAntimicrobial resistance (AMR) has become a global public health concern which threatens the effective treatment of bacterial infections. Resistant Staphylococcus aureus (including MRSA) increasingly appears in individuals with no healthcare associated risks. Our study assessed risk factors for nasal carriage of resistant S. aureus in a multinational, healthy, community-based population, including ecological exposure to antibiotics.

methodsData were collected in eight European countries (Austria, Belgium, Croatia, France, Hungary, the Netherlands, Spain and Sweden). Commensal AMR patterns were assessed by collecting 28,929 nasal swabs from healthy persons (aged 4+). Ecological exposure to antibiotics was operationalized as systemic antibiotic treatment patterns, extracted from electronic medical records of primary care practices in which the participants were listed (10-27 per country). A multilevel analysis related AMR in nasal commensal S. aureus to antibiotic exposure and other risk factors (e.g. age and profession).

resultsOf the 6,093 S. aureus isolates, 77% showed resistance to at least one antibiotic. 7.1% exhibited multidrug resistance (defined as resistance to 3 or more antibiotic classes), and we found 78 cases MRSA (1.3%). A large variation in antibiotic exposure was found between and within countries. Younger age and a higher proportion of penicillin prescriptions in a practice were associated with higher odds for carriage of a resistant S. aureus. Also, we found higher multidrug resistance rates in participants working in healthcare or nurseries.

conclusionsThis study indicates that in a population with no recent antibiotic use, the prescription behavior of the general practitioner affects the odds for carriage of a resistant S. aureus, highlighting the need for cautious prescribing in primary care. Finally, since variation in AMR could partly be explained on a national level, policy initiatives to decrease AMR should be encouraged at the national level within Europe.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Infective AgentsCarrier StateChildEuropeFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedNasal MucosaRisk FactorsStaphylococcal InfectionsAnti-Infective Agents

Identifiers

PMID26262679
PMCPMC4532423

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LicenceCC BY
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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.