Evidence map›Paper›PMID 39624778›Full record

ArticleInfection prevention in practice2024

Is there an association between colonisation of vancomycin resistant

Matthew Jg Sigakis, Joseph Posluszny, Michael D Maile, Elizabeth S Jewell, Milo Engoren

Abstract read
In one paragraph

Article in Infection prevention in practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. MRSA: the enduring foe.Infection prevention in practice · 2025
    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

5 authors.

Matthew Jg SigakisDepartment of Anesthesiology, University of Michigan, Ann Arbor, USA.
Joseph PoslusznyDepartment of Surgery, Case Western Reserve University, Cleveland, USA.
Michael D MaileDepartment of Anesthesiology, University of Michigan, Ann Arbor, USA.
Elizabeth S JewellDepartment of Anesthesiology, University of Michigan, Ann Arbor, USA.
Milo EngorenDepartment of Anesthesiology, University of Michigan, Ann Arbor, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To determine if colonisation with drug resistant organisms is associated with worse outcomes in patients who subsequently develop sepsis. Methods: Retrospective study of patients with sepsis employing logistic regression and linear regression to determine the independent association of colonisation with adverse outcomes. Results: Mortality was higher in patients colonized with VRE [501 of 1937 (26%) v. 1052 of 5624 (19%) non-VRE colonised patients, difference 7% (95% confidence interval (5,9%), p<0.001] and MRSA [168 of 708 (24%) v 1342 of 6804 (20%) non-MRSA colonised patients, difference 4% (1,7%), p = 0.014]. CDiff colonisation was not associated with increased mortality [153 of 757 (21%) v 762 of 7432 (18%), difference 3% (0,6%), p=0.052]. After multivariable logistic regression, VRE colonisation remained associated with increased hospital mortality [odds ratio = 1.273, 95% confidence interval (1.099, 1.475), p = 0.001]. VRE colonisation was also associated with subsequent receipt of mechanical ventilation [odds ratio = 1.179, 95% confidence interval (1.043, 1.334), p = 0.009] and with receipt of renal replacement therapy (RRT) [OR = 1.36 (1.11, 1.66), p = 0.003]. Conclusions: We found that VRE colonisation, but not MRSA or C. diff colonisation, was associated with increased hospital mortality in septic patients.

Indexed as

Clostridiodes difficileInfection controlMethicillin-resistant Staphylococcus AureusSepsisVancomycin-resistant enterococci

Identifiers

PMID39624778
PMCPMC11609449

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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.