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Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis
Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inf...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569430/ https://www.ncbi.nlm.nih.gov/pubmed/34745112 http://dx.doi.org/10.3389/fimmu.2021.741061 |
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author | Karimi, Amirali Shobeiri, Parnian Kulasinghe, Arutha Rezaei, Nima |
author_facet | Karimi, Amirali Shobeiri, Parnian Kulasinghe, Arutha Rezaei, Nima |
author_sort | Karimi, Amirali |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker. |
format | Online Article Text |
id | pubmed-8569430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85694302021-11-06 Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis Karimi, Amirali Shobeiri, Parnian Kulasinghe, Arutha Rezaei, Nima Front Immunol Immunology Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker. Frontiers Media S.A. 2021-10-22 /pmc/articles/PMC8569430/ /pubmed/34745112 http://dx.doi.org/10.3389/fimmu.2021.741061 Text en Copyright © 2021 Karimi, Shobeiri, Kulasinghe and Rezaei 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 | Immunology Karimi, Amirali Shobeiri, Parnian Kulasinghe, Arutha Rezaei, Nima Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title | Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title_full | Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title_fullStr | Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title_full_unstemmed | Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title_short | Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis |
title_sort | novel systemic inflammation markers to predict covid-19 prognosis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569430/ https://www.ncbi.nlm.nih.gov/pubmed/34745112 http://dx.doi.org/10.3389/fimmu.2021.741061 |
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