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Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit
INTRODUCTION: Coronavirus disease-2019 (COVID-19) pandemic has overloaded the healthcare system beyond its functional capacity. Late referral to higher levels of care may be one of the factors associated with higher mortality. Therefore, we aimed to find simple demographic and laboratory parameters...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Jaypee Brothers Medical Publishers
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196394/ https://www.ncbi.nlm.nih.gov/pubmed/34177173 http://dx.doi.org/10.5005/jp-journals-10071-23801 |
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author | Maddani, Sagar S Gupta, Nitin Umakanth, Shashikiran Joylin, Sowmya Saravu, Kavitha |
author_facet | Maddani, Sagar S Gupta, Nitin Umakanth, Shashikiran Joylin, Sowmya Saravu, Kavitha |
author_sort | Maddani, Sagar S |
collection | PubMed |
description | INTRODUCTION: Coronavirus disease-2019 (COVID-19) pandemic has overloaded the healthcare system beyond its functional capacity. Late referral to higher levels of care may be one of the factors associated with higher mortality. Therefore, we aimed to find simple demographic and laboratory parameters which predict the requirement of admission to a critical care unit. MATERIALS AND METHODS: A case–control study was undertaken in adult age population >18 years, admitted in a dedicated COVID hospital in South India. A total of 50 patients with severe disease (cases) were compared with 143 mild or asymptomatic cases (controls). Those demographic and laboratory parameters that were found to be significant on univariate analysis were used for multiple logistic regression analysis. RESULTS: Univariate analysis of demographic and laboratory data showed higher age, male sex, presence of diabetes mellitus, higher values of C-reactive protein, ferritin, D-dimer, neutrophil–lymphocyte ratio (NLR), and lactate dehydrogenase to be significantly associated with cases. Multivariate logistic regression analysis of these significant variables showed NLR and ferritin to be the independent predictors of the requirement of admission to a critical care unit. The receiver-operating characteristic curve showed an NLR value of 5.2 and a ferritin value of 462 μg/L that were able to predict the requirement of admission in critical care units. CONCLUSION: High ferritin and NLR were independent predictors of the requirement of admission in critical care units. NLR is a simple tool that can be used in resource-limited settings for triage and early referral to higher levels of care. HOW TO CITE THIS ARTICLE: Maddani SS, Gupta N, Umakanth S, Joylin S, Saravu K. Neutrophil-Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit. Indian J Crit Care Med 2021;25(5):535–539. |
format | Online Article Text |
id | pubmed-8196394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-81963942021-06-24 Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit Maddani, Sagar S Gupta, Nitin Umakanth, Shashikiran Joylin, Sowmya Saravu, Kavitha Indian J Crit Care Med Original Research INTRODUCTION: Coronavirus disease-2019 (COVID-19) pandemic has overloaded the healthcare system beyond its functional capacity. Late referral to higher levels of care may be one of the factors associated with higher mortality. Therefore, we aimed to find simple demographic and laboratory parameters which predict the requirement of admission to a critical care unit. MATERIALS AND METHODS: A case–control study was undertaken in adult age population >18 years, admitted in a dedicated COVID hospital in South India. A total of 50 patients with severe disease (cases) were compared with 143 mild or asymptomatic cases (controls). Those demographic and laboratory parameters that were found to be significant on univariate analysis were used for multiple logistic regression analysis. RESULTS: Univariate analysis of demographic and laboratory data showed higher age, male sex, presence of diabetes mellitus, higher values of C-reactive protein, ferritin, D-dimer, neutrophil–lymphocyte ratio (NLR), and lactate dehydrogenase to be significantly associated with cases. Multivariate logistic regression analysis of these significant variables showed NLR and ferritin to be the independent predictors of the requirement of admission to a critical care unit. The receiver-operating characteristic curve showed an NLR value of 5.2 and a ferritin value of 462 μg/L that were able to predict the requirement of admission in critical care units. CONCLUSION: High ferritin and NLR were independent predictors of the requirement of admission in critical care units. NLR is a simple tool that can be used in resource-limited settings for triage and early referral to higher levels of care. HOW TO CITE THIS ARTICLE: Maddani SS, Gupta N, Umakanth S, Joylin S, Saravu K. Neutrophil-Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit. Indian J Crit Care Med 2021;25(5):535–539. Jaypee Brothers Medical Publishers 2021-05 /pmc/articles/PMC8196394/ /pubmed/34177173 http://dx.doi.org/10.5005/jp-journals-10071-23801 Text en Copyright © 2021; Jaypee Brothers Medical Publishers (P) Ltd. https://creativecommons.org/licenses/by-nc/4.0/© Jaypee Brothers Medical Publishers. 2021 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Research Maddani, Sagar S Gupta, Nitin Umakanth, Shashikiran Joylin, Sowmya Saravu, Kavitha Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title | Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title_full | Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title_fullStr | Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title_full_unstemmed | Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title_short | Neutrophil–Lymphocyte Ratio in Patients with COVID-19 as a Simple Tool to Predict Requirement of Admission to a Critical Care Unit |
title_sort | neutrophil–lymphocyte ratio in patients with covid-19 as a simple tool to predict requirement of admission to a critical care unit |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196394/ https://www.ncbi.nlm.nih.gov/pubmed/34177173 http://dx.doi.org/10.5005/jp-journals-10071-23801 |
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