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

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...

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Main Authors: Thomas Luft, Clemens-Martin Wendtner, Florentina Kosely, Aleksandar Radujkovic, Axel Benner, Felix Korell, Lars Kihm, Matthias F. Bauer, Peter Dreger, Uta Merle
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.634416/full
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spelling doaj-4b85aab98f1f4f79b81dd0b27c5e6c452021-06-23T06:37:11ZengFrontiers Media S.A.Frontiers in Immunology1664-32242021-06-011210.3389/fimmu.2021.634416634416EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected PatientsThomas Luft0Clemens-Martin Wendtner1Florentina Kosely2Aleksandar Radujkovic3Axel Benner4Felix Korell5Lars Kihm6Matthias F. Bauer7Peter Dreger8Uta Merle9Department of Internal Medicine V, University of Heidelberg, Heidelberg, GermanyMunich Clinic Schwabing, Academic Teaching Hospital, Ludwig-Maximilians University (LMU), Munich, GermanyMedical Department B, Hospital Ludwigshafen, Ludwigshafen, GermanyDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, GermanyDivision of Biostatistics, German Cancer Research Center, Heidelberg, GermanyDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, GermanyDepartment of Internal Medicine I, University of Heidelberg, Heidelberg, GermanyInstitute of Laboratory Diagnostics, Hygiene and Transfusion Medicine, Hospital Ludwigshafen, Ludwigshafen, GermanyDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, GermanyDepartment of Internal Medicine IV, University of Heidelberg, Heidelberg, GermanyBackgroundThe 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.https://www.frontiersin.org/articles/10.3389/fimmu.2021.634416/fullendothelial activation and stress indexEASIXSARS-CoV2 (COVID- 19)suppressor of tumorigenicity 2 (ST2)soluble thrombomodulinangiopoietin-2 (Ang-2)
collection DOAJ
language English
format Article
sources DOAJ
author Thomas Luft
Clemens-Martin Wendtner
Florentina Kosely
Aleksandar Radujkovic
Axel Benner
Felix Korell
Lars Kihm
Matthias F. Bauer
Peter Dreger
Uta Merle
spellingShingle Thomas Luft
Clemens-Martin Wendtner
Florentina Kosely
Aleksandar Radujkovic
Axel Benner
Felix Korell
Lars Kihm
Matthias F. Bauer
Peter Dreger
Uta Merle
EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
Frontiers in Immunology
endothelial activation and stress index
EASIX
SARS-CoV2 (COVID- 19)
suppressor of tumorigenicity 2 (ST2)
soluble thrombomodulin
angiopoietin-2 (Ang-2)
author_facet Thomas Luft
Clemens-Martin Wendtner
Florentina Kosely
Aleksandar Radujkovic
Axel Benner
Felix Korell
Lars Kihm
Matthias F. Bauer
Peter Dreger
Uta Merle
author_sort Thomas Luft
title EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
title_short EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
title_full EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
title_fullStr EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
title_full_unstemmed EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients
title_sort easix for prediction of outcome in hospitalized sars-cov-2 infected patients
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2021-06-01
description 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.
topic endothelial activation and stress index
EASIX
SARS-CoV2 (COVID- 19)
suppressor of tumorigenicity 2 (ST2)
soluble thrombomodulin
angiopoietin-2 (Ang-2)
url https://www.frontiersin.org/articles/10.3389/fimmu.2021.634416/full
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