Abstract

COVID-19, as a disease involving the endothelium of multiple organs, is characterized by high mortality rates among hospitalized patients. Patients with hematological malignancies are particularly at risk of an unfavorable course of COVID-19. The endothelial activation and stress index (EASIX) score has been used as a simple predictor of overall survival (OS) in specific groups of hematological cancer patients. EASIX, as a biomarker of endothelial dysfunction, might play a prognostic role in patients with COVID-19. Here, we performed a comprehensive retrospective analysis of the EASIX score in 523 hospitalized COVID-19 patients with or without coexisting hematological cancer. Hematological cancer COVID-19 patients had higher EASIX scores compared to the overall population with COVID-19. In hematological patients, EASIX was a strong predictor of the occurrence of sepsis during COVID-19. Our findings demonstrated EASIX as a strong predictor of intensive care unit admission, in-hospital mortality, the occurrence of acute renal failure and the need for hemodialysis, both in hematological and non-hematological COVID-19 patients. Patients with a high EASIX score on COVID-19 diagnosis had significantly inferior OS compared to patients with low EASIX. We showed for the first time that EASIX might serve as a simple, universal prognostic tool of OS in both hematological and non-hematological COVID-19 patients.

Highlights

  • The novel COVID-19 pandemic has paralyzed many health systems throughout the world and has contributed to significant mortality among the worldwide population

  • Our study has shown for the first time that endothelial activation and stress index (EASIX) is a universal, early and reliable predictor of the clinical outcome and overall survival in hematological and non-hematological patients diagnosed with COVID-19

  • In hematological cancer patients compared to non-hematological COVID-19 patients, EASIX is a strong predictor of the occurrence of sepsis during the course of SARS-CoV-2 infection

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Summary

Introduction

The novel COVID-19 pandemic has paralyzed many health systems throughout the world and has contributed to significant mortality among the worldwide population. CoV-2 infection causes severe illness, in certain groups of patients. Patients with hematological cancer are vulnerable to an unfavorable course of COVID19 and poor outcome [1,2]. Finding a reliable and accurate predictor of the course of the SARS-CoV-2 infection might be beneficial during the early clinical evaluation and treatment of COVID-19 patients as well as in reducing mortality. Prognostic tools for COVID-19 outcome have been investigated recently. According to the meta-analyses, there are multiple risk factors associated with a poor clinical outcome of COVID-19 [3,4]. Little is known about the establishment of a universal prediction tool for COVID-19 prognosis that is accurate and reliable both in the general and hematological population of COVID-19 patients. The endothelial activation and stress index (EASIX), calculated by the formula

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