Evidence map›Paper›PMID 34984340›Full record

ArticleCritical care explorations2021

Immunothrombosis Biomarkers for Distinguishing Coronavirus Disease 2019 Patients From Noncoronavirus Disease Septic Patients With Pneumonia and for Predicting ICU Mortality.

Erblin Cani, Dhruva J Dwivedi, Kao-Lee Liaw, Douglas D Fraser, Calvin H Yeh, Claudio Martin, Marat Slessarev, Samantha E Cerroni, Alison A Fox-Robichaud, Jeffrey I Weitz and 2 more

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Guideline
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  6. Review
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  8. Article
  9. Galectin-3 as a Marker for Increased Thrombogenicity in COVID-19.International journal of molecular sciences · 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 4 institutions in 1 country.

Erblin CaniThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Dhruva J DwivediThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Kao-Lee LiawSchool of Earth, Environment & Society, McMaster University, Hamilton, ON, Canada.
Douglas D FraserLawson Health Research Institute, London, ON, Canada.
Calvin H YehDepartment of Medicine, Division of Emergency Medicine, University of Toronto, Toronto, ON, Canada.
Claudio MartinLawson Health Research Institute, London, ON, Canada.
Marat SlessarevDepartment of Medicine, Western University, London, ON, Canada.
Samantha E CerroniThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Alison A Fox-RobichaudThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Jeffrey I WeitzThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Paul Y KimThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
Patricia C LiawThrombosis and Atherosclerosis Research Institute (TaARI), McMaster University, Hamilton, ON, Canada.
McMaster University · CAWestern University · CAThrombosis and Atherosclerosis Research Institute · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceCoronavirus disease 2019 patients have an increased risk of thrombotic complications that may reflect immunothrombosis, a process characterized by blood clotting, endothelial dysfunction, and the release of neutrophil extracellular traps. To date, few studies have investigated longitudinal changes in immunothrombosis biomarkers in these patients. Furthermore, how these longitudinal changes differ between coronavirus disease 2019 patients and noncoronavirus disease septic patients with pneumonia are unknown.

objectivesIn this pilot observational study, we investigated the utility of immunothrombosis biomarkers for distinguishing between coronavirus disease 2019 patients and noncoronavirus disease septic patients with pneumonia. We also evaluated the utility of the biomarkers for predicting ICU mortality in these patients. DESIGN SETTING AND

participantsThe participants were ICU patients with coronavirus disease 2019 ( MAIN OUTCOMES AND MEASURES: Nine biomarkers were measured from plasma samples (on days 1, 2, 4, 7, 10, and/or 14). Analysis was based on binomial logit models and receiver operating characteristic analyses.

resultsCell-free DNA, d-dimer, soluble endothelial protein C receptor, protein C, soluble thrombomodulin, fibrinogen, citrullinated histones, and thrombin-antithrombin complexes have significant powers for distinguishing coronavirus disease 2019 patients from healthy individuals. In comparison, fibrinogen, soluble endothelial protein C receptor, antithrombin, and cell-free DNA have significant powers for distinguishing coronavirus disease 2019 from pneumonia patients. The predictors of ICU mortality differ between the two patient groups: soluble thrombomodulin and citrullinated histones for coronavirus disease 2019 patients, and protein C and cell-free DNA or fibrinogen for pneumonia patients. In both patient groups, the most recent biomarker values have stronger prognostic value than their ICU day 1 values. CONCLUSIONS AND RELEVANCE: Fibrinogen, soluble endothelial protein C receptor, antithrombin, and cell-free DNA have utility for distinguishing coronavirus disease 2019 patients from noncoronavirus disease septic patients with pneumonia. The most important predictors of ICU mortality are soluble thrombomodulin/citrullinated histones for coronavirus disease 2019 patients, and protein C/cell-free DNA for noncoronavirus disease pneumonia patients. This hypothesis-generating study suggests that the pathophysiology of immunothrombosis differs between the two patient groups.

Indexed as

coagulationcoronavirus disease 2019endothelial dysfunctionimmunothrombosismortalityNETosis

Identifiers

PMID34984340
PMCPMC8718216
OpenAlexW4200184680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.