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Clinical Predictors of COVID-19 Severity and Mortality: A Perspective
The COVID-19 pandemic has caused huge socio-economic losses and continues to threat humans worldwide. With more than 4.5 million deaths and more than 221 million confirmed COVID-19 cases, the impact on physical, mental, social and economic resources is immeasurable. During any novel disease outbreak...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573222/ https://www.ncbi.nlm.nih.gov/pubmed/34760713 http://dx.doi.org/10.3389/fcimb.2021.674277 |
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author | Sharma, Jitender Rajput, Roopali Bhatia, Manika Arora, Pooja Sood, Vikas |
author_facet | Sharma, Jitender Rajput, Roopali Bhatia, Manika Arora, Pooja Sood, Vikas |
author_sort | Sharma, Jitender |
collection | PubMed |
description | The COVID-19 pandemic has caused huge socio-economic losses and continues to threat humans worldwide. With more than 4.5 million deaths and more than 221 million confirmed COVID-19 cases, the impact on physical, mental, social and economic resources is immeasurable. During any novel disease outbreak, one of the primary requirements for effective mitigation is the knowledge of clinical manifestations of the disease. However, in absence of any unique identifying characteristics, diagnosis/prognosis becomes difficult. It intensifies misperception and leads to delay in containment of disease spread. Numerous clinical research studies, systematic reviews and meta-analyses have generated considerable data on the same. However, identification of some of the distinct clinical signs and symptoms, disease progression biomarkers and the risk factors leading to adverse COVID-19 outcomes warrant in-depth understanding. In view of this, we assessed 20 systematic reviews and meta-analyses with an intent to understand some of the potential independent predictors/biomarkers/risk factors of COVID-19 severity and mortality. |
format | Online Article Text |
id | pubmed-8573222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85732222021-11-09 Clinical Predictors of COVID-19 Severity and Mortality: A Perspective Sharma, Jitender Rajput, Roopali Bhatia, Manika Arora, Pooja Sood, Vikas Front Cell Infect Microbiol Cellular and Infection Microbiology The COVID-19 pandemic has caused huge socio-economic losses and continues to threat humans worldwide. With more than 4.5 million deaths and more than 221 million confirmed COVID-19 cases, the impact on physical, mental, social and economic resources is immeasurable. During any novel disease outbreak, one of the primary requirements for effective mitigation is the knowledge of clinical manifestations of the disease. However, in absence of any unique identifying characteristics, diagnosis/prognosis becomes difficult. It intensifies misperception and leads to delay in containment of disease spread. Numerous clinical research studies, systematic reviews and meta-analyses have generated considerable data on the same. However, identification of some of the distinct clinical signs and symptoms, disease progression biomarkers and the risk factors leading to adverse COVID-19 outcomes warrant in-depth understanding. In view of this, we assessed 20 systematic reviews and meta-analyses with an intent to understand some of the potential independent predictors/biomarkers/risk factors of COVID-19 severity and mortality. Frontiers Media S.A. 2021-10-25 /pmc/articles/PMC8573222/ /pubmed/34760713 http://dx.doi.org/10.3389/fcimb.2021.674277 Text en Copyright © 2021 Sharma, Rajput, Bhatia, Arora and Sood https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Sharma, Jitender Rajput, Roopali Bhatia, Manika Arora, Pooja Sood, Vikas Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title | Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title_full | Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title_fullStr | Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title_full_unstemmed | Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title_short | Clinical Predictors of COVID-19 Severity and Mortality: A Perspective |
title_sort | clinical predictors of covid-19 severity and mortality: a perspective |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573222/ https://www.ncbi.nlm.nih.gov/pubmed/34760713 http://dx.doi.org/10.3389/fcimb.2021.674277 |
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