Evidence map›Paper›PMID 36682626›Full record

ArticleThe Journal of hospital infection2023

A methodology for using Lambda phages as a proxy for pathogen transmission in hospitals.

K B Burke, B A Berryhill, R Garcia, D A Goldberg, J A Manuel, P R Gannon, B R Levin, C S Kraft, J M Mumma

Abstract read
In one paragraph

Article in The Journal of hospital infection, 2023. 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
–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

5 citing papers in PubMed.

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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

9 authors.

K B BurkeDepartment of Biology, Emory University, Atlanta, GA, USA; Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
B A BerryhillDepartment of Biology, Emory University, Atlanta, GA, USA; Program in Microbiology and Molecular Genetics, Graduate Division of Biological and Biomedical Sciences, Laney Graduate School, Emory University, Atlanta, GA, USA.
R GarciaDepartment of Biology, Emory University, Atlanta, GA, USA.
D A GoldbergDepartment of Biology, Emory University, Atlanta, GA, USA.
J A ManuelDepartment of Biology, Emory University, Atlanta, GA, USA.
P R GannonDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
B R LevinDepartment of Biology, Emory University, Atlanta, GA, USA.
C S KraftDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
J M MummaDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA. Electronic address: jmmumma@emory.edu.

Funding

Theoretical and Experimental Studies of the Population and Evolutionary Dynamics of Bacteria and Bacteriophage.R35GM136407 · NIGMS · EMORY UNIVERSITY · PI LEVIN, BRUCE RICHARD · 2020 to 2024
$2.0M
NCEZID CDC HHS U54 CK000481NIGMS NIH HHS R35 GM136407
6 · The paper itself

Abstract

backgroundOne major concern in hospitalized patients is acquiring infections from pathogens borne on surfaces, patients, and healthcare workers (HCWs). Fundamental to controlling healthcare-associated infections is identifying the sources of pathogens, monitoring the processes responsible for their transmission, and evaluating the efficacy of the procedures employed for restricting their transmission.

aimTo present a method using the bacteriophage Lambda (λ) to achieve these ends.

methodsDefined densities of multiple genetically marked λ phages were inoculated at known hotspots for contamination on high-fidelity mannequins. HCWs then entered a pre-sanitized simulated hospital room and performed a series of patient care tasks on the mannequins. Sampling occurred on the scrubs and hands of the HCWs, as well as previously defined high-touch surfaces in hospital rooms. Following sampling, the rooms were decontaminated using procedures demonstrated to be effective. Following the conclusion of the simulation, the samples were tested for the presence, identity, and densities of these λ phages.

findingsThe data generated enabled the determination of the sources and magnitude of contamination caused by the breakdown of established infection prevention practices by HCWs. This technique enabled the standardized tracking of multiple contaminants during a single episode of patient care. Unlike other biological surrogates, λ phages are susceptible to common hospital disinfectants, and allow for a more accurate evaluation of pathogen transmission.

conclusionWhereas our application of these methods focused on healthcare-associated infections and the role of HCW behaviours in their spread, these methods could be employed for identifying the sources and sites of microbial contamination in other settings.

Indexed as

Bacteriophage lambdaCross InfectionHealth PersonnelHospitalsHumansInfectious Disease Transmission, Professional-to-PatientBacteriophageContaminationHealthcare workersHospital-acquired infectionInfection preventionLambda phage

Identifiers

PMID36682626
PMCPMC10795484

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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.