Evidence map›Paper›PMID 34448445›Full record

Observational studyInfection control and hospital epidemiology2022

Understanding short-term transmission dynamics of methicillin-resistant

Aline Wolfensberger, Nora Mang, Kristen E Gibson, Kyle Gontjes, Marco Cassone, Silvio D Brugger, Lona Mody, Hugo Sax

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Infection control and hospital epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Phenotypic Variation in ClinicalMicroorganisms · 2023
    Article
  5. Characteristics of Virulent ST5-SCCInfection and drug resistance · 2023
    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

8 authors at 3 institutions in 2 countries.

Aline Wolfensberger *Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-9028-0007
Nora Mang *Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Kristen E Gibson *Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Kyle GontjesDivision of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Marco CassoneDivision of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Silvio D BruggerDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Lona Mody *Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Hugo Sax *Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
University of Michigan · USUniversity of Zurich · CHUniversity of Bern · CH

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Physician Scientist Training in Age-Related DiseasesT32AG062403 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MIN, LILLIAN CHIANG, MODY, LONA · 2020 to 2025
$2.7M
Pathway from Functional Disability to Antimicrobial Resistance in Nursing HomesR01AG041780 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MODY, LONA · 2013 to 2017
$1.8M
Preventing Infections and Antimicrobial Resistance in the Aging Population: Translational Research and Training ProgramK24AG050685 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody · 2015 to 2026
$1.4M
NCATS NIH HHS UL1 TR002240NIA NIH HHS K24 AG050685NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG041780NIA NIH HHS T32 AG062403
6 · The paper itself

Abstract

objectiveLittle is known about the short-term dynamics of methicillin-resistant

designObservational pilot study.

settingTwo hospitals, hospital 1 in Zurich, Switzerland, and hospital 2 in Ann Arbor, Michigan, United States. PATIENTS: Inpatients with MRSA colonization or infection.

methodsAt baseline, the groin, axilla, nares, dominant hands of 10 patients and 6 environmental high-touch surfaces in their rooms were sampled. Cultures were then taken of the patient hand and high-touch surfaces 3 more times at 90-minute intervals. After each swabbing, patients' hands and surfaces were disinfected. Patient activity was assessed by interviews at hospital 1 and analysis of video footage at hospital 2. A contamination pressure score was created by multiplying the number of colonized body sites with the activity level of the patient.

resultsIn total, 10 patients colonized and/or infected with MRSA were enrolled; 40 hand samples and 240 environmental samples were collected. At baseline, 30% of hands and 20% of high-touch surfaces yielded MRSA. At follow-up intervals, 8 (27%) of 30 patient hands, and 10 (6%) of 180 of environmental sites were positive. Activity of the patient explained 7 of 10 environmental contaminations. Patients with higher contamination pressure score showed a trend toward higher environmental contamination.

conclusionEnvironmental MRSA contamination in patient rooms was highly dynamic and was likely driven by the patient's MRSA body colonization pattern and the patient activity.

Indexed as

Cross InfectionMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsHospitalsHumansPatients' Rooms

Identifiers

PMID34448445
PMCPMC9272746
OpenAlexW3194810523

What OpenQuestion holds

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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.