Evidence map›Paper›PMID 34248931›Full record

ArticleFrontiers in immunology

EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients.

Thomas Luft, Clemens-Martin Wendtner, Florentina Kosely, Aleksandar Radujkovic, Axel Benner, Felix Korell, Lars Kihm, Matthias F Bauer, Peter Dreger, Uta Merle

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in immunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05502887 (The Endothelial Cell Dysfunction and Outcome Project for Hematological Neoplasms), which is not on this map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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.

NCT05502887 recruitingnot on this map

The Endothelial Cell Dysfunction and Outcome Project for Hematological Neoplasms (EndoCDO-H). A Prospective Registry Study on Endothelial Functional Profile, Intervention Type and Clinical Outcome in Patients With Hematological Neoplasms

TypeobservationalSponsorProf. Dr. Thomas LuftRan2022 to 2032Enrolled1,000ConditionsHematological Neoplasm, Endothelial DysfunctionArmsSublingual in vivo microscopy with the Glycocheck microscope
3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

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  17. EASIX as a predictor of 3-year mortality in aortic stenosis patients undergoing TAVR.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
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  20. EASIX (endothelial activation and stress index) predicts mortality in patients with coronary artery disease.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
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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

10 authors.

Thomas LuftDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Clemens-Martin WendtnerMunich Clinic Schwabing, Academic Teaching Hospital, Ludwig-Maximilians University (LMU), Munich, Germany.
Florentina KoselyMedical Department B, Hospital Ludwigshafen, Ludwigshafen, Germany.
Aleksandar RadujkovicDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Axel BennerDivision of Biostatistics, German Cancer Research Center, Heidelberg, Germany.
Felix KorellDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Lars KihmDepartment of Internal Medicine I, University of Heidelberg, Heidelberg, Germany.
Matthias F BauerInstitute of Laboratory Diagnostics, Hygiene and Transfusion Medicine, Hospital Ludwigshafen, Ludwigshafen, Germany.
Peter DregerDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Uta MerleDepartment of Internal Medicine IV, University of Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and has evoked a pandemic that challenges public health-care systems worldwide. Endothelial cell dysfunction plays a key role in pathophysiology, and simple prognosticators may help to optimize allocation of limited resources. Endothelial activation and stress index (EASIX) is a validated predictor of endothelial complications and outcome after allogeneic stem cell transplantation. Aim of this study was to test if EASIX could predict life-threatening complications in patients with COVID-19.

methodsSARS-CoV-2-positive, hospitalized patients were enrolled onto a prospective non-interventional register study (n=100). Biomarkers were assessed at hospital admission. Primary endpoint was severe course of disease (mechanical ventilation and/or death, V/D). Results were validated in 126 patients treated in two independent institutions.

resultsEASIX at admission was a strong predictor of severe course of the disease (odds ratio for a two-fold change 3.4, 95%CI 1.8-6.3, p<0.001), time to V/D (hazard ratio (HR) for a two-fold change 2.0, 95%CI 1.5-2.6, p<0.001) as well as survival (HR for a two-fold change 1.7, 95%CI 1.2-2.5, p=0.006). The effect was retained in multivariable analysis adjusting for age, gender, and comorbidities and could be validated in the independent cohort. At hospital admission EASIX correlated with increased suppressor of tumorigenicity-2, soluble thrombomodulin, angiopoietin-2, CXCL8, CXCL9 and interleukin-18, but not interferon-alpha.

conclusionEASIX is a validated predictor of COVID19 outcome and an easy-to-access tool to segregate patients in need for intensive surveillance.

Indexed as

Hematopoietic Stem Cell TransplantationSeverity of Illness IndexAdolescentAdultAgedAged, 80 and overBiomarkersCOVID-19Endothelial CellsFemaleHospitalizationHumansMaleMiddle AgedPrognosisProspective StudiesBiomarkersangiopoietin-2 (Ang-2)EASIXendothelial activation and stress indexprediction of outcomeSARS-CoV2 (COVID- 19)soluble thrombomodulinsuppressor of tumorigenicity 2 (ST2)

Identifiers

PMID34248931
PMCPMC8261154

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Registered trials

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.