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Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19?
The COVID-19 pandemic caused by the SARS-CoV-2 virus has infected millions and overburdened the healthcare infrastructure globally. Recent studies show that the endothelial dysfunction caused by the virus contributes to its high morbidity and mortality. A parameter that can identify patients who wil...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466972/ https://www.ncbi.nlm.nih.gov/pubmed/33254535 http://dx.doi.org/10.1016/j.mehy.2020.110229 |
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author | Yoganandamoorthy, Sarangini Munasinghe, M.A.D.S.N. Wanigasuriya, L.V.U. Priyankara, M.K.K. Jayasinghe, Saroj |
author_facet | Yoganandamoorthy, Sarangini Munasinghe, M.A.D.S.N. Wanigasuriya, L.V.U. Priyankara, M.K.K. Jayasinghe, Saroj |
author_sort | Yoganandamoorthy, Sarangini |
collection | PubMed |
description | The COVID-19 pandemic caused by the SARS-CoV-2 virus has infected millions and overburdened the healthcare infrastructure globally. Recent studies show that the endothelial dysfunction caused by the virus contributes to its high morbidity and mortality. A parameter that can identify patients who will develop complications early will be valuable in patient management and reducing the burden on medical resources. An emerging technology is currently being tested to predict the cardiovascular risk via non-invasively measuring the endothelial dysfunction. This paper reviews how the assessment of endothelial dysfunction using this technology can be used as a potential parameter in the prognostication and management of COVID-19 patients. |
format | Online Article Text |
id | pubmed-7466972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74669722020-09-02 Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? Yoganandamoorthy, Sarangini Munasinghe, M.A.D.S.N. Wanigasuriya, L.V.U. Priyankara, M.K.K. Jayasinghe, Saroj Med Hypotheses Article The COVID-19 pandemic caused by the SARS-CoV-2 virus has infected millions and overburdened the healthcare infrastructure globally. Recent studies show that the endothelial dysfunction caused by the virus contributes to its high morbidity and mortality. A parameter that can identify patients who will develop complications early will be valuable in patient management and reducing the burden on medical resources. An emerging technology is currently being tested to predict the cardiovascular risk via non-invasively measuring the endothelial dysfunction. This paper reviews how the assessment of endothelial dysfunction using this technology can be used as a potential parameter in the prognostication and management of COVID-19 patients. Elsevier Ltd. 2020-11 2020-09-02 /pmc/articles/PMC7466972/ /pubmed/33254535 http://dx.doi.org/10.1016/j.mehy.2020.110229 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Yoganandamoorthy, Sarangini Munasinghe, M.A.D.S.N. Wanigasuriya, L.V.U. Priyankara, M.K.K. Jayasinghe, Saroj Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title | Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title_full | Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title_fullStr | Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title_full_unstemmed | Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title_short | Non-invasive assessment of endothelial dysfunction: A novel method to predict severe COVID-19? |
title_sort | non-invasive assessment of endothelial dysfunction: a novel method to predict severe covid-19? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466972/ https://www.ncbi.nlm.nih.gov/pubmed/33254535 http://dx.doi.org/10.1016/j.mehy.2020.110229 |
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