Evidence map›Paper›PMID 36404573›Full record

ArticleThe Journal of hospital infection2023

Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks.

H Berggreen, A H Løvestad, K Helmersen, S B Jørgensen, H V Aamot

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

H BerggreenDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
A H LøvestadDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway; Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
K HelmersenDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway; Department of Clinical Molecular Biology (Epigen), Akershus University Hospital and University of Oslo, Lørenskog, Norway.
S B JørgensenDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway.
H V AamotDepartment of Microbiology and Infection Control, Akershus University Hospital, Lørenskog, Norway. Electronic address: hege.vangstein.aamot@ahus.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a continuing source of hospital-acquired infection and outbreaks. At Akershus University Hospital in Norway, traditional contact tracing has been combined with whole-genome sequencing (WGS) surveillance in real-time to investigate potential hospital outbreaks.

aimTo describe the advantages and challenges encountered when using WGS as a real-time tool in hospital outbreak investigation and surveillance during the SARS-CoV-2 pandemic.

methodsRoutine contact tracing in the hospital was performed for all healthcare workers (HCWs) who tested positive for SARS-CoV-2. Viral RNA from all positive patient and HCW samples was sequenced in real-time using nanopore sequencing and the ARTIC Network protocol. Suspected outbreaks involving five or more individuals with viral sequences were described.

findingsNine outbreaks were suspected based on contact tracing, and one outbreak was suspected based on WGS results. Five outbreaks were confirmed; of these, two outbreaks were supported but could not be confirmed by WGS with high confidence, one outbreak was found to consist of two different lineages, and two outbreaks were refuted.

conclusionsWGS is a valuable tool in hospital outbreak investigations when combined with traditional contact tracing. Inclusion of WGS data improved outbreak demarcation, identified unknown transmission chains, and highlighted weaknesses in existing infection control measures.

Indexed as

COVID-19Cross InfectionDisease OutbreaksHospitals, UniversityHumansSARS-CoV-2COVID-19Genomic epidemiologyHealthcare-associatedSARS-CoV-2SurveillanceWhole-genome sequencing

Identifiers

PMID36404573
PMCPMC9617632

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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.