Evidence map›Paper›PMID 31364542›Full record

ArticleEpidemiology and infection2019

Length of stay and odds of MRSA acquisition: a dose-response relationship?

H Y Loke, W M Kyaw, M I C Chen, J W Lim, B Ang, A Chow

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Understanding the Drivers of Cost and Length of Stay in a Cohort of 21,875 Patients with Severe Burn.Journal of burn care & research : official publication of the American Burn Association · 2024
    Article
  6. Article
  7. Leaving the hospital on time: hospital bed utilization and reasons for discharge delay in the Netherlands.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
    Article
  8. A Sequalae of Lineage Divergence inDiagnostics (Basel, Switzerland) · 2023
    Article
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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

6 authors.

H Y LokeDepartment of Clinical Epidemiology,Office of Clinical Epidemiology, Analytics, and Knowledge,Tan Tock Seng Hospital,Singapore.ORCID 0000-0003-3292-4956
W M KyawDepartment of Clinical Epidemiology,Office of Clinical Epidemiology, Analytics, and Knowledge,Tan Tock Seng Hospital,Singapore.
M I C ChenSaw Swee Hock School of Public Health,National University of Singapore,Singapore.ORCID 0000-0001-9369-5830
J W LimDepartment of Clinical Epidemiology,Office of Clinical Epidemiology, Analytics, and Knowledge,Tan Tock Seng Hospital,Singapore.
B AngDepartment of Infectious Diseases,Tan Tock Seng Hospital,Singapore.
A ChowDepartment of Clinical Epidemiology,Office of Clinical Epidemiology, Analytics, and Knowledge,Tan Tock Seng Hospital,Singapore.ORCID 0000-0002-4063-736X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between methicillin-resistant Staphylococcus aureus (MRSA) colonisation and/or infection with increased morbidity and mortality among hospital patients has long been recognised. We sought to build on previous studies to identify modifiable risk factors associated with the acquisition of MRSA colonisation and infection by conducting a retrospective cohort study on patients admitted through the Emergency Department of an acute tertiary-care general hospital in Singapore which implemented universal on-admission MRSA screening. Patients were assigned to the acquisition or non-acquisition group depending on whether they acquired MRSA during their admission. We used logistic regression models with a patient being in the acquisition group as the binary outcome to identify factors associated with MRSA acquisition. A total of 1302 acquisition and 37 949 non-acquisition group patients were analysed. Fifteen variables were included in the multivariate model. A dose-response relationship between length of stay and odds of MRSA acquisition was observed, with a length of stay 3 weeks or more (Adj OR 11.78-57.36, all P < 0.001) being the single biggest predictor of MRSA acquisition. Other variables significantly associated with MRSA acquisition were: male gender, age 65 or greater, previous MRSA colonisation or infection, exposure to certain antibiotics and surgery, and history of diabetes.

Indexed as

Hospital MortalityAgedAnti-Bacterial AgentsCross InfectionFemaleHospitalizationHospitals, GeneralHumansIncidenceLength of StayLogistic ModelsMaleMethicillin-Resistant Staphylococcus aureusMiddle AgedMultivariate AnalysisRisk AssessmentAnti-Bacterial AgentsBacterial infectionshospital-acquired (nosocomial) infectionsmethicillin-resistant S. aureus (MRSA)

Identifiers

PMID31364542
PMCPMC6625199

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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.