Evidence map›Paper›PMID 31536169›Full record

ArticleInfluenza and other respiratory viruses2019

Nosocomial transmission of influenza: A retrospective cross-sectional study using next generation sequencing at a hospital in England (2012-2014).

Ruth M Blackburn, Dan Frampton, Catherine M Smith, Ellen B Fragaszy, Simon J Watson, R Bridget Ferns, Špela Binter, Pietro G Coen, Paul Grant, Laura J Shallcross and 7 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Real-Time Investigation of a Large Nosocomial Influenza A Outbreak Informed by Genomic Epidemiology.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  8. Article
  9. Article
  10. 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

17 authors.

Ruth M BlackburnInstitute of Health Informatics, UCL, London, UK.
Dan FramptonDivision of Infection and Immunity, UCL, London, UK.
Catherine M SmithInstitute of Health Informatics, UCL, London, UK.ORCID 0000-0003-3959-8479
Ellen B FragaszyInstitute of Health Informatics, UCL, London, UK.ORCID 0000-0002-0178-6098
Simon J WatsonWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
R Bridget FernsClinical Microbiology and Virology, University College London Hospitals NHS Foundation Trust, London, UK.
Špela BinterWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
Pietro G CoenInfection Control Department, University College London Hospitals, NHS Foundation Trust, London, UK.
Paul GrantClinical Microbiology and Virology, University College London Hospitals NHS Foundation Trust, London, UK.
Laura J ShallcrossInstitute of Health Informatics, UCL, London, UK.
Zisis KozlakidisInstitute of Health Informatics, UCL, London, UK.
Deenan PillayDivision of Infection and Immunity, UCL, London, UK.
Paul KellamWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.
Stéphane HuéDepartment of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Eleni NastouliClinical Microbiology and Virology, University College London Hospitals NHS Foundation Trust, London, UK.
Andrew C HaywardInstitute of Epidemiology and Health Care, UCL, London, UK.
ICONIC group

Funding

Department of Health T5-344 (ICONIC)Medical Research Council MR/S003797/1Wellcome TrustWellcome Trust T5-344 (ICONIC)World Health Organization 001
6 · The paper itself

Abstract

backgroundThe extent of transmission of influenza in hospital settings is poorly understood. Next generation sequencing may improve this by providing information on the genetic relatedness of viral strains.

objectivesWe aimed to apply next generation sequencing to describe transmission in hospital and compare with methods based on routinely-collected data.

methodsAll influenza samples taken through routine care from patients at University College London Hospitals NHS Foundation Trust (September 2012 to March 2014) were included. We conducted Illumina sequencing and identified genetic clusters. We compared nosocomial transmission estimates defined using classical methods (based on time from admission to sample) and genetic clustering. We identified pairs of cases with space-time links and assessed genetic relatedness.

resultsWe sequenced influenza sampled from 214 patients. There were 180 unique genetic strains, 16 (8.8%) of which seeded a new transmission chain. Nosocomial transmission was indicated for 32 (15.0%) cases using the classical definition and 34 (15.8%) based on genetic clustering. Of the 50 patients in a genetic cluster, 11 (22.0%) had known space-time links with other cases in the same cluster. Genetic distances between pairs of cases with space-time links were lower than for pairs without spatial links (P < .001).

conclusionsGenetic data confirmed that nosocomial transmission contributes significantly to the hospital burden of influenza and elucidated transmission chains. Prospective next generation sequencing could support outbreak investigations and monitor the impact of infection and control measures.

Indexed as

AdolescentAdultAgedChildChild, PreschoolCluster AnalysisCross InfectionCross-Sectional StudiesFemaleGenome, ViralHospitalsHumansInfection ControlInfluenza, HumanLondonMaleRNA, Viralcross infectiondisease outbreakshumaninfluenzamolecular epidemiology

Identifiers

PMID31536169
PMCPMC6800305

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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.