Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.

<h4>Background</h4>COVID-19 caused a profound global impact, resulting in significant cases and deaths. The progression of COVID-19 clinical manifestations is influenced by a dysregulated inflammatory response. Early identification of the subclinical progression is crucial for timely int...

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Main Authors: Norman Jonas Kyala, Innocent Mboya, Elichilia Shao, Francis Sakita, Kajiru Gadiel Kilonzo, Laura Shirima, Abid Sadiq, Elifuraha Mkwizu, Nyasatu Chamba, Annette Marandu, Sophia Muhali, Faryal Raza, Eliasa Ndale, Damas Bayo, Daniel Mujuni, Furaha Lyamuya
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0300231
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author Norman Jonas Kyala
Innocent Mboya
Elichilia Shao
Francis Sakita
Kajiru Gadiel Kilonzo
Laura Shirima
Abid Sadiq
Elifuraha Mkwizu
Nyasatu Chamba
Annette Marandu
Sophia Muhali
Faryal Raza
Eliasa Ndale
Damas Bayo
Daniel Mujuni
Furaha Lyamuya
author_facet Norman Jonas Kyala
Innocent Mboya
Elichilia Shao
Francis Sakita
Kajiru Gadiel Kilonzo
Laura Shirima
Abid Sadiq
Elifuraha Mkwizu
Nyasatu Chamba
Annette Marandu
Sophia Muhali
Faryal Raza
Eliasa Ndale
Damas Bayo
Daniel Mujuni
Furaha Lyamuya
author_sort Norman Jonas Kyala
collection DOAJ
description <h4>Background</h4>COVID-19 caused a profound global impact, resulting in significant cases and deaths. The progression of COVID-19 clinical manifestations is influenced by a dysregulated inflammatory response. Early identification of the subclinical progression is crucial for timely intervention and improved patient outcomes. While there are various biomarkers to predict disease severity and outcomes, their accessibility and affordability pose challenges in resource-limited settings. We explored the potentiality of the neutrophil-to-lymphocyte ratio (NLR) as a cost-effective inflammatory marker to predict disease severity, clinical deterioration, and mortality in affected patients.<h4>Methodology</h4>A hospital-based retrospective cohort study was conducted at KCMC Hospital among COVID-19 patients followed from admission to discharge between 1st March 2020 and 31st March 2022. NLR was calculated as the absolute neutrophil count in μL divided by the absolute lymphocyte count in μL. The NLR cut-off value was determined using Receiver Operating Characteristic (ROC) analysis and assessed its predictive ability at admission for in-hospital mortality. The Chi-square test compared the proportion of NLR by patient characteristics. The association of NLR with disease severity and mortality was analyzed using the modified Poisson and Cox regression models, respectively.<h4>Results</h4>The study included 504 patients, with a median age of 64 years, 57.1% were males, and 68.3% had severe COVID-19. The in-hospital COVID-19 mortality rate was 37.7%. An NLR cutoff value of 6.1 or higher had a sensitivity of 92.1% (95% CI 89.2%-94.0%) and a specificity of 92.0% (95% CI 89.7%-94.4%). Additionally, 39.5% of patients with an NLR value of 6.1 or higher had increased risk of severe disease, subsequent clinical deterioration, and mortality.<h4>Conclusion and recommendation</h4>An NLR value of 6.1 or higher at the time of hospital admission associated with severe disease, clinical deterioration, and mortality in patients with COVID-19. Integration of NLR as a prognostic parameter in COVID-19 prognosis scales could improve risk assessment and guide appropriate management strategies for COVID-19 patients, as well as for potential future viral-related pneumonias. Further prospective studies are necessary to validate these findings and evaluate the clinical utility of NLR in larger cohorts of patients.
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spelling doaj-art-9e1121ec99464f2e8fe3a9cf266b3ad62025-02-07T05:30:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e030023110.1371/journal.pone.0300231Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.Norman Jonas KyalaInnocent MboyaElichilia ShaoFrancis SakitaKajiru Gadiel KilonzoLaura ShirimaAbid SadiqElifuraha MkwizuNyasatu ChambaAnnette MaranduSophia MuhaliFaryal RazaEliasa NdaleDamas BayoDaniel MujuniFuraha Lyamuya<h4>Background</h4>COVID-19 caused a profound global impact, resulting in significant cases and deaths. The progression of COVID-19 clinical manifestations is influenced by a dysregulated inflammatory response. Early identification of the subclinical progression is crucial for timely intervention and improved patient outcomes. While there are various biomarkers to predict disease severity and outcomes, their accessibility and affordability pose challenges in resource-limited settings. We explored the potentiality of the neutrophil-to-lymphocyte ratio (NLR) as a cost-effective inflammatory marker to predict disease severity, clinical deterioration, and mortality in affected patients.<h4>Methodology</h4>A hospital-based retrospective cohort study was conducted at KCMC Hospital among COVID-19 patients followed from admission to discharge between 1st March 2020 and 31st March 2022. NLR was calculated as the absolute neutrophil count in μL divided by the absolute lymphocyte count in μL. The NLR cut-off value was determined using Receiver Operating Characteristic (ROC) analysis and assessed its predictive ability at admission for in-hospital mortality. The Chi-square test compared the proportion of NLR by patient characteristics. The association of NLR with disease severity and mortality was analyzed using the modified Poisson and Cox regression models, respectively.<h4>Results</h4>The study included 504 patients, with a median age of 64 years, 57.1% were males, and 68.3% had severe COVID-19. The in-hospital COVID-19 mortality rate was 37.7%. An NLR cutoff value of 6.1 or higher had a sensitivity of 92.1% (95% CI 89.2%-94.0%) and a specificity of 92.0% (95% CI 89.7%-94.4%). Additionally, 39.5% of patients with an NLR value of 6.1 or higher had increased risk of severe disease, subsequent clinical deterioration, and mortality.<h4>Conclusion and recommendation</h4>An NLR value of 6.1 or higher at the time of hospital admission associated with severe disease, clinical deterioration, and mortality in patients with COVID-19. Integration of NLR as a prognostic parameter in COVID-19 prognosis scales could improve risk assessment and guide appropriate management strategies for COVID-19 patients, as well as for potential future viral-related pneumonias. Further prospective studies are necessary to validate these findings and evaluate the clinical utility of NLR in larger cohorts of patients.https://doi.org/10.1371/journal.pone.0300231
spellingShingle Norman Jonas Kyala
Innocent Mboya
Elichilia Shao
Francis Sakita
Kajiru Gadiel Kilonzo
Laura Shirima
Abid Sadiq
Elifuraha Mkwizu
Nyasatu Chamba
Annette Marandu
Sophia Muhali
Faryal Raza
Eliasa Ndale
Damas Bayo
Daniel Mujuni
Furaha Lyamuya
Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
PLoS ONE
title Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
title_full Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
title_fullStr Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
title_full_unstemmed Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
title_short Neutrophil-to-lymphocyte ratio as a prognostic indicator in COVID-19: Evidence from a northern tanzanian cohort.
title_sort neutrophil to lymphocyte ratio as a prognostic indicator in covid 19 evidence from a northern tanzanian cohort
url https://doi.org/10.1371/journal.pone.0300231
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