Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection

Detalhes bibliográficos
Autor(a) principal: Farias, João Pedro
Data de Publicação: 2022
Outros Autores: Silva, Pedro Paulo Costa e, Codes, Liana, Vinhaes, Diana, Amorim, Ana Paula, D’Oliveira, Ricardo Cruz, Farias, Alberto Queiroz, Bittencourt, Paulo Lisboa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista do Instituto de Medicina Tropical de São Paulo
Texto Completo: https://www.revistas.usp.br/rimtsp/article/view/204625
Resumo: Leukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.
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spelling Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infectionLeukocyte biomarkersCOVID-19PrognosisOutcomeCritical careEmergency departmentLeukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo2022-11-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rimtsp/article/view/20462510.1590/S1678-9946202264073Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e73Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e73Revista do Instituto de Medicina Tropical de São Paulo; v. 64 (2022); e731678-99460036-4665reponame:Revista do Instituto de Medicina Tropical de São Pauloinstname:Instituto de Medicina Tropical (IMT)instacron:IMTenghttps://www.revistas.usp.br/rimtsp/article/view/204625/188261Copyright (c) 2022 João Pedro Farias, Pedro Paulo Costa e Silva, Liana Codes, Diana Vinhaes, Ana Paula Amorim, Ricardo Cruz D’Oliveira, Alberto Queiroz Farias, Paulo Lisboa Bittencourthttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess Farias, João Pedro Silva, Pedro Paulo Costa eCodes, Liana Vinhaes, Diana Amorim, Ana Paula D’Oliveira, Ricardo Cruz Farias, Alberto Queiroz Bittencourt, Paulo Lisboa 2022-11-18T18:32:29Zoai:revistas.usp.br:article/204625Revistahttp://www.revistas.usp.br/rimtsp/indexPUBhttps://www.revistas.usp.br/rimtsp/oai||revimtsp@usp.br1678-99460036-4665opendoar:2022-12-13T16:54:11.201900Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT)true
dc.title.none.fl_str_mv Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
title Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
spellingShingle Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
Farias, João Pedro
Leukocyte biomarkers
COVID-19
Prognosis
Outcome
Critical care
Emergency department
title_short Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
title_full Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
title_fullStr Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
title_full_unstemmed Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
title_sort Leukocyte ratios are useful early predictors for adverse outcomes of COVID-19 infection
author Farias, João Pedro
author_facet Farias, João Pedro
Silva, Pedro Paulo Costa e
Codes, Liana
Vinhaes, Diana
Amorim, Ana Paula
D’Oliveira, Ricardo Cruz
Farias, Alberto Queiroz
Bittencourt, Paulo Lisboa
author_role author
author2 Silva, Pedro Paulo Costa e
Codes, Liana
Vinhaes, Diana
Amorim, Ana Paula
D’Oliveira, Ricardo Cruz
Farias, Alberto Queiroz
Bittencourt, Paulo Lisboa
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Farias, João Pedro
Silva, Pedro Paulo Costa e
Codes, Liana
Vinhaes, Diana
Amorim, Ana Paula
D’Oliveira, Ricardo Cruz
Farias, Alberto Queiroz
Bittencourt, Paulo Lisboa
dc.subject.por.fl_str_mv Leukocyte biomarkers
COVID-19
Prognosis
Outcome
Critical care
Emergency department
topic Leukocyte biomarkers
COVID-19
Prognosis
Outcome
Critical care
Emergency department
description Leukocyte biomarkers, including the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte-(MLR), platelet-to-lymphocyte (PLR) ratios and systemic immune-inflammation index (SII) have been associated with severity and mortality of patients with COVID-19. The purpose of this study was to evaluate the association of baseline leukocyte biomarkers calculated in the emergency department (ED) with the disease severity and mortality. This was a retrospective cohort study that evaluated 1,535 (mean age 57+18 years) patients with SARS-CoV-2 infection in the ED of a single reference center. Outcomes were severity, defined as intensive care unit (ICU) admission requirement, and in-hospital mortality. All leukocyte biomarkers were calculated in the ED before the hospital admission. Their ability to predict the severity and mortality was measured using receiver operating characteristic (ROC) curves. Severity and mortality were observed in 30.9% and 12.6% of the patients, respectively, and were significantly correlated with NLR, MLR, PLR and SII, but only NLR was independently associated with both outcomes on multivariate analysis. Analysis of ROC curves revealed that NLR (0.78 for severity and 0.80 for mortality) and SII (0.77 for severity and 0.75 for mortality) had the best ability to predict mortality, when compared to other ratios. The highest AUC was observed for NLR, employing cut-off points of 5.4 for severity and 5.5 for mortality. Leukocyte biomarkers, particularly NLR, are capable of predicting the severity and mortality of patients with SARS-CoV-2 infection and could be important adjunct tools to identify patients in the ED that are more prone to develop adverse outcomes.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-18
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/rimtsp/article/view/204625
10.1590/S1678-9946202264073
url https://www.revistas.usp.br/rimtsp/article/view/204625
identifier_str_mv 10.1590/S1678-9946202264073
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/rimtsp/article/view/204625/188261
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo
publisher.none.fl_str_mv Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo
dc.source.none.fl_str_mv Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e73
Revista do Instituto de Medicina Tropical de São Paulo; Vol. 64 (2022); e73
Revista do Instituto de Medicina Tropical de São Paulo; v. 64 (2022); e73
1678-9946
0036-4665
reponame:Revista do Instituto de Medicina Tropical de São Paulo
instname:Instituto de Medicina Tropical (IMT)
instacron:IMT
instname_str Instituto de Medicina Tropical (IMT)
instacron_str IMT
institution IMT
reponame_str Revista do Instituto de Medicina Tropical de São Paulo
collection Revista do Instituto de Medicina Tropical de São Paulo
repository.name.fl_str_mv Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT)
repository.mail.fl_str_mv ||revimtsp@usp.br
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