Evidence map›Paper›PMID 26069990›Full record

ArticleSurgical infections2015

Can Nasal Methicillin-Resistant Staphylococcus aureus Screening Be Used to Avoid Empiric Vancomycin Use in Intra-Abdominal Infection?

Sara A Hennessy, Puja M Shah, Christopher A Guidry, Stephen W Davies, Tjasa Hranjec, Robert G Sawyer

Open access · greenAbstract read
In one paragraph

Article in Surgical infections, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Use of nares swab to de-escalate vancomycin for patients with suspected methicillin-resistantAntimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  6. Article
  7. Sensitivity and Specificity of prior Methicillin-ResistantJournal of research in pharmacy practice
    Article
  8. Nasal-Swab Results for Methicillin-ResistantThe Canadian journal of hospital pharmacy
    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

6 authors at 2 institutions in 1 country.

Sara A Hennessy1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Puja M Shah1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Christopher A Guidry1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Stephen W Davies1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Tjasa Hranjec2 Department of Surgery, University of Texas Southwestern , Dallas, Texas.
Robert G Sawyer1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
University of Virginia · USSouthwestern University · US

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
Surgical Infectious Diseses and Transplantation Training GrantT32AI078875 · NIAID · UNIVERSITY OF VIRGINIA · PI SAWYER, ROBERT G · 2009 to 2013
$947k
NCI NIH HHS T32 CA163177NIAID NIH HHS T32 AI078875
6 · The paper itself

Abstract

backgroundVancomycin is used widely as empiric therapy for gram-positive organisms in patients with an intra-abdominal infection (IAI), even in those with no history of methicillin-resistant Staphylococcus aureus (MRSA) infection or colonization. Potential adverse effects of vancomycin include nephrotoxicity, increased cost, and bacterial resistance. We hypothesized that MRSA nasal screening could be used to predict patients with a MRSA IAI and used to avoid unnecessary empiric vancomycin use.

methodsA surgical infections database collected prospectively from a single institution was reviewed for all IAIs between January 1, 2000-December 31, 2011. Patients with and without MRSA obtained from abdominal cultures as either a monomicrobial or polymicrobial isolate were compared by univariate analysis. A multivariable logistic regression was performed to identify independent predictors of MRSA IAI.

resultsOf 2,591 patients with an IAI, 240 patients had a nasal MRSA screen within 30 d prior to infection and abdominal culture data, with an incidence of 23% for MRSA IAI. Patients with MRSA IAI (n=45) had more healthcare associated infections, lower white blood cell counts and greater rates of positive nasal MRSA screenings compared with those with non-MRSA IAI. By multivariable analysis (C statistic=0.908), the strongest independent predictor of an MRSA IAI was a positive MRSA screen (odds ratio [OR] 40.9, confidence interval [CI] 14.2-118.1). The positive predictive value for a MRSA screen was 53% whereas the negative predictive value of a MRSA screen was 97%.

conclusionA negative MRSA nasal screen indicates with near certainty the absence of MRSA as part of an IAI. In the setting of a recent screen, empiric vancomycin can be withheld. Further, rapid MRSA nasal screening could be used to forego or to discontinue vancomycin therapy rapidly in the setting of IAI. This change in empiric antibiotic management of IAI may lead to decreased morbidity, reduction in cost, and a decrease in bacterial resistance.

Indexed as

AgedAged, 80 and overAnalysis of VarianceAnti-Bacterial AgentsFemaleHumansIntraabdominal InfectionsMaleMethicillin-Resistant Staphylococcus aureusMiddle AgedNasal CavityPredictive Value of TestsPrescription Drug OveruseRetrospective StudiesStaphylococcal InfectionsVancomycinAnti-Bacterial AgentsVancomycin

Identifiers

PMID26069990
PMCPMC4702425
OpenAlexW2460966274

What OpenQuestion holds

Textmetadata
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.