Evidence map›Paper›PMID 33382773›Full record

Trial reportPloS one2020

Interleukine-6 in critically ill COVID-19 patients: A retrospective analysis.

Julie Gorham, Anthony Moreau, Francis Corazza, Lorenzo Peluso, Fanny Ponthieux, Marta Talamonti, Antonio Izzi, Carole Nagant, Narcisse Ndieugnou Djangang, Alessandra Garufi and 2 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
1.8field-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

46 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  13. Observational
  14. Interleukin-6Clinical and experimental medicine · 2023
    Article
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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

12 authors at 2 institutions in 1 country.

Julie GorhamDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Anthony MoreauDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Francis CorazzaDepartment of Immunology, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Translational Research, Campus Horta, ULB, Brussels, Belgium.
Lorenzo PelusoDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0001-6885-5353
Fanny PonthieuxDepartment of Immunology, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Translational Research, Campus Horta, ULB, Brussels, Belgium.
Marta TalamontiDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Antonio IzziDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Carole NagantDepartment of Immunology, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Translational Research, Campus Horta, ULB, Brussels, Belgium.
Narcisse Ndieugnou DjangangDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Alessandra GarufiDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Jacques CreteurDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Fabio Silvio TacconeDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Université Libre de Bruxelles · BECentre Hospitalier Universitaire Brugmann · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCoronavirus disease 2019 (COVID-19) appeared in China in December 2019 and has spread around the world. High Interleukin-6 (IL-6) levels in COVID-19 patients suggest that a cytokine storm may play a major role in the pathophysiology and are considered as a relevant parameter in predicting most severe course of disease. The aim of this study was to assess repeated IL-6 levels in critically ill COVID-19 patients admitted to our Intensive Care Unit (ICU) and to evaluate their relationship with patient's severity and outcome.

methodsWe conducted a retrospective study on patients admitted to the ICU with a diagnosis of COVID-19 between March 10 (i.e. the date of the first admitted patients) and April 30, 2020. Demographic, clinical and laboratory data were collected at admission. On the day of IL-6 blood concentration measurement, we also collected results of D-Dimers, C-Reactive Protein, white blood cells and lymphocytes count, lactate dehydrogenase (LDH) and ferritin as well as microbiological samples, whenever present.

resultsOf a total of 65 patients with COVID-19 admitted to our ICU we included 41 patients with repeated measure of IL-6. There was a significant difference in IL-6 levels between survivors and non-survivors over time (p = 0.001); moreover, non survivors had a significantly higher IL-6 maximal value when compared to survivors (720 [349-2116] vs. 336 [195-646] pg/mL, p = 0.01). The IL-6 maximal value had a significant predictive value of ICU mortality (AUROC 0.73 [95% CI 0.57-0.89]; p = 0.01).

conclusionsRepeated measurements of IL-6 can help clinicians in identifying critically ill COVID-19 patients with the highest risk of poor prognosis.

Indexed as

SARS-CoV-2COVID-19Critical IllnessCytokine Release SyndromeDisease-Free SurvivalFemaleHumansInterleukin-6MaleMiddle AgedRetrospective StudiesSeverity of Illness IndexSurvival RateIL6 protein, humanInterleukin-6

Identifiers

PMID33382773
PMCPMC7774924
OpenAlexW3116919906

What OpenQuestion holds

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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.