Evidence map›Paper›PMID 35386227›Full record

ArticleHeliyon2022

Severe COVID-19 is characterised by inflammation and immature myeloid cells early in disease progression.

Liam Townsend, Adam H Dyer, Aifric Naughton, Sultan Imangaliyev, Jean Dunne, Rachel Kiersey, Dean Holden, Aoife Mooney, Deirdre Leavy, Katie Ridge and 20 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  20. InvasiveDiagnostics (Basel, Switzerland) · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 2 institutions in 1 country.

Liam TownsendDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
Adam H DyerDepartment of Medical Gerontology, Trinity Translational Medicine Institute, Trinity College Dublin, Ireland.
Aifric NaughtonDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Sultan ImangaliyevHost Pathogen Interactions Group, School of Biochemistry and Immunology, Trinity College Dublin, Ireland.
Jean DunneDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Rachel KierseyDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Dean HoldenDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Aoife MooneyDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Deirdre LeavyDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Katie RidgeDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Jamie SugrueSchool of Biochemistry and Immunology, Trinity College Dublin, Ireland.
Mubarak AldoseriDepartment of Intensive Care Medicine, St James's Hospital, Dublin, Ireland.
Jo Hannah KelliherDepartment of Intensive Care Medicine, St James's Hospital, Dublin, Ireland.
Martina HennessyClinical Research Facility, St James's Hospital, Dublin, Ireland.
Declan ByrneDepartment of General Medicine, St James's Hospital, Dublin, Ireland.
Paul BrowneDepartment of Haematology, St James's Hospital, Dublin, Ireland.
Christopher L BaconDepartment of Haematology, St James's Hospital, Dublin, Ireland.
Catriona DoyleDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
Ruth O'RiordanDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
Anne-Marie McLaughlinDepartment of Respiratory Medicine, St James's Hospital, Dublin.
Ciaran BannanDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
Ignacio Martin-LoechesDepartment of Intensive Care Medicine, St James's Hospital, Dublin, Ireland.
Arthur WhiteSchool of Computer Science and Statistics, Trinity College Dublin, Ireland.
Rachel M McLoughlinHost Pathogen Interactions Group, School of Biochemistry and Immunology, Trinity College Dublin, Ireland.
Colm BerginDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
Nollaig M BourkeDepartment of Medical Gerontology, Trinity Translational Medicine Institute, Trinity College Dublin, Ireland.
Cliona O'FarrellySchool of Biochemistry and Immunology, Trinity College Dublin, Ireland.
Niall ConlonDepartment of Immunology, St James's Hospital, Dublin, Ireland.
Clíona Ní CheallaighDepartment of Infectious Diseases, St James's Hospital, Dublin, Ireland.
STAR COVID Bioresource
St. James's Hospital · IETrinity College Dublin · IE

Funding

Wellcome Trust
6 · The paper itself

Abstract

SARS-CoV-2 infection causes a wide spectrum of disease severity. Identifying the immunological characteristics of severe disease and the risk factors for their development are important in the management of COVID-19. This study aimed to identify and rank clinical and immunological features associated with progression to severe COVID-19 in order to investigate an immunological signature of severe disease. One hundred and eight patients with positive SARS-CoV-2 PCR were recruited. Routine clinical and laboratory markers were measured, as well as myeloid and lymphoid whole-blood immunophenotyping and measurement of the pro-inflammatory cytokines IL-6 and soluble CD25. All analysis was carried out in a routine hospital diagnostic laboratory. Univariate analysis demonstrated that severe disease was most strongly associated with elevated CRP and IL-6, loss of DLA-DR expression on monocytes and CD10 expression on neutrophils. Unbiased machine learning demonstrated that these four features were strongly associated with severe disease, with an average prediction score for severe disease of 0.925. These results demonstrate that these four markers could be used to identify patients developing severe COVID-19 and allow timely delivery of therapeutics.

Indexed as

BiomarkersCOVID-19Immune phenotypeMachine learningNeutrophil maturity

Identifiers

PMID35386227
PMCPMC8973020
OpenAlexW4225731025

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.