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Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis

BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients. METHODS: A literature sear...

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Autores principales: Simadibrata, Daniel Martin, Calvin, Julius, Wijaya, Alya Darin, Ibrahim, Naufal Arkan Abiyyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832118/
https://www.ncbi.nlm.nih.gov/pubmed/33453617
http://dx.doi.org/10.1016/j.ajem.2021.01.006
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author Simadibrata, Daniel Martin
Calvin, Julius
Wijaya, Alya Darin
Ibrahim, Naufal Arkan Abiyyu
author_facet Simadibrata, Daniel Martin
Calvin, Julius
Wijaya, Alya Darin
Ibrahim, Naufal Arkan Abiyyu
author_sort Simadibrata, Daniel Martin
collection PubMed
description BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients. METHODS: A literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI). RESULTS: A total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72–1.04; I(2) = 75.52% and 1.87; 95%CI 1.25–2.49; I(2) = 97.81%, respectively). Regardless of the different NLR cut-off values, the pooled mortality RR in patients with elevated vs. normal NLR levels was 2.74 (95%CI 0.98–7.66). CONCLUSION: High NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use.
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spelling pubmed-78321182021-01-26 Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis Simadibrata, Daniel Martin Calvin, Julius Wijaya, Alya Darin Ibrahim, Naufal Arkan Abiyyu Am J Emerg Med Article BACKGROUND: The neutrophil-to-lymphocyte ratio (NLR), an inflammatory marker, was suggested to be predictive of severity and mortality in COVID-19 patients. Here, we investigated whether NLR levels on admission could predict the severity and mortality of COVID-19 patients. METHODS: A literature search was conducted on 23 July 2020 to retrieve all published articles, including grey literature and preprints, investigating the association between on-admission NLR values and severity or mortality in COVID-19 patients. A meta-analysis was performed to determine the overall standardized mean difference (SMD) in NLR values and the pooled risk ratio (RR) for severity and mortality with the 95% Confidence Interval (95%CI). RESULTS: A total of 38 articles, including 5699 patients with severity outcomes and 6033 patients with mortality outcomes, were included. The meta-analysis showed that severe and non-survivors of COVID-19 had higher on-admission NLR levels than non-severe and survivors (SMD 0.88; 95%CI 0.72–1.04; I(2) = 75.52% and 1.87; 95%CI 1.25–2.49; I(2) = 97.81%, respectively). Regardless of the different NLR cut-off values, the pooled mortality RR in patients with elevated vs. normal NLR levels was 2.74 (95%CI 0.98–7.66). CONCLUSION: High NLR levels on admission were associated with severe COVID-19 and mortality. Further studies need to focus on determining the optimal cut-off value for NLR before clinical use. Elsevier Inc. 2021-04 2021-01-09 /pmc/articles/PMC7832118/ /pubmed/33453617 http://dx.doi.org/10.1016/j.ajem.2021.01.006 Text en © 2021 Elsevier Inc. 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
Simadibrata, Daniel Martin
Calvin, Julius
Wijaya, Alya Darin
Ibrahim, Naufal Arkan Abiyyu
Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title_full Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title_fullStr Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title_full_unstemmed Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title_short Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis
title_sort neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of covid-19 patients: a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832118/
https://www.ncbi.nlm.nih.gov/pubmed/33453617
http://dx.doi.org/10.1016/j.ajem.2021.01.006
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