Evidence map›Paper›PMID 24586887›Full record

ArticlePloS one2014

Risk factors for methicillin resistant Staphylococcus aureus: a multi-laboratory study.

Boudewijn Catry, Katrien Latour, Béatrice Jans, Stien Vandendriessche, Ragna Preal, Karl Mertens, Olivier Denis

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2014. 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
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Methicillin-resistantIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Review
  6. Article
  7. Antibiotic susceptibility patterns ofThe Pan African medical journal · 2019
    Article
  8. Predictors of colonization with Staphylococcus species among patients scheduled for cardiac and orthopedic interventions at tertiary care hospitals in north-eastern Germany-a prevalence screening study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  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

7 authors at 3 institutions in 1 country.

Boudewijn CatryHealthcare-Associated Infections & Antimicrobial Resistance, Public Health & Surveillance, Scientific Institute of Public Health, Brussels (WIV-ISP), Belgium.
Katrien LatourHealthcare-Associated Infections & Antimicrobial Resistance, Public Health & Surveillance, Scientific Institute of Public Health, Brussels (WIV-ISP), Belgium.
Béatrice JansHealthcare-Associated Infections & Antimicrobial Resistance, Public Health & Surveillance, Scientific Institute of Public Health, Brussels (WIV-ISP), Belgium.
Stien VandendriesscheLaboratoire de Référence MRSA - Staphylocoques, Department of Microbiology, Hôpital Erasme, ULB, Brussels, Belgium.
Ragna PrealIntermutualistic Agency (IMA-AIM), Brussels, Belgium.
Karl MertensHealthcare-Associated Infections & Antimicrobial Resistance, Public Health & Surveillance, Scientific Institute of Public Health, Brussels (WIV-ISP), Belgium.
Olivier DenisLaboratoire de Référence MRSA - Staphylocoques, Department of Microbiology, Hôpital Erasme, ULB, Brussels, Belgium.
Institut Scientifique de Santé Publique · BEErasmus Hospital · BEIntermutualist Agency · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to investigate the dose response relationship between the prescriptions of antimicrobial agents and infection/colonization with methicillin resistant Staphylococcus aureus (MRSA) taking additional factors like stay in a health care facility into account.

methodsMulti-centre retrospective study on a cohort of patients that underwent microbiological diagnostics in Belgium during 2005. The bacteriological results retrieved from 17 voluntary participating clinical laboratories were coupled with the individual antimicrobial consumption patterns (July 2004-December 2005) and other variables as provided by pooled data of health insurance funds. Multivariate analysis was used to identify risk factors for MRSA colonization/infection.

resultsA total of 6844 patients of which 17.5% died in the year 2005, were included in a logistic regression model. More than 97% of MRSA was associated with infection (clinical samples), and only a minority with screening/colonization (1.59%). Factors (95% CI) significantly (p≤<0.01) associated with MRSA in the final multivariate model were: admission to a long term care settings (2.79-4.46); prescription of antibiotics via a hospital pharmacy (1.30-2.01); age 55+ years (3.32-5.63); age 15-54 years (1.23-2.16); and consumption of antimicrobial agent per DDD (defined daily dose) (1.25-1.40).

conclusionsThe data demonstrated a direct dose-response relationship between MRSA and consumption of antimicrobial agents at the individual patient level of 25-40% increased risk per every single day. In addition the study indicated an involvement of specific healthcare settings and age in MRSA status.

Indexed as

AdolescentAdultAnti-Bacterial AgentsDose-Response Relationship, DrugFemaleFollow-Up StudiesHumansMaleMethicillin-Resistant Staphylococcus aureusMiddle AgedPrevalencePrognosisRetrospective StudiesRisk FactorsStaphylococcal InfectionsYoung AdultAnti-Bacterial Agents

Identifiers

PMID24586887
PMCPMC3935888
OpenAlexW2053355896

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.