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Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration in COVID-19: Observations From a Resource Constraint Setting
INTRODUCTION AND OBJECTIVES: The study was conducted to assess the association of neutrophil lymphocyte ratio (NLR) in COVID-19 and to identify the cut-off value that predicts mortality, need of respiratory support and admission to high-dependency or intensive care. METHODS: A retrospective observat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016554/ https://www.ncbi.nlm.nih.gov/pubmed/35450133 http://dx.doi.org/10.1177/2632010X221090898 |
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author | Perera, Nilanka de Silva, Ashani Kumbukage, Mahesh Rambukwella, Roshan Indrakumar, Jegarajah |
author_facet | Perera, Nilanka de Silva, Ashani Kumbukage, Mahesh Rambukwella, Roshan Indrakumar, Jegarajah |
author_sort | Perera, Nilanka |
collection | PubMed |
description | INTRODUCTION AND OBJECTIVES: The study was conducted to assess the association of neutrophil lymphocyte ratio (NLR) in COVID-19 and to identify the cut-off value that predicts mortality, need of respiratory support and admission to high-dependency or intensive care. METHODS: A retrospective observational study was conducted to collect demographic data, clinical variables, the neutrophil-lymphocyte ratio on-admission and the outcome of confirmed COVID-19 patients admitted to a tertiary care center in Sri Lanka. RESULTS: There were 208 patients with a median age of 56 years (IQR 43-67) and 98 (47.1%) males. The median neutrophil count was 4.07 × 10(3)/µL (IQR 2.97-6.79) and the median lymphocyte count was 1.74 × 10(3)/µL (IQR 1.36-4.75). The calculated NLR ranged from 0.12 to 48.28 with a median value of 2.32 (IQR 1.37-4.76). A NLR value >3.6 predicted development of severe disease requiring respiratory support, transfer to a high-dependency or an intensive care unit and/or succumbing to the illness with a sensitivity 80% and specificity 80% (area under the curve 0.8, 95% CI 0.72-0.88, P < .0001). The adjusted odds ratio of NLR > 3.6 on predicting severe disease was 11.1, 95% CI 4.5- 27.0, P < .0001. CONCLUSIONS: A NLR > 3.6 is a useful variable to be included in risk prediction scores in Sri Lanka. |
format | Online Article Text |
id | pubmed-9016554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-90165542022-04-20 Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration in COVID-19: Observations From a Resource Constraint Setting Perera, Nilanka de Silva, Ashani Kumbukage, Mahesh Rambukwella, Roshan Indrakumar, Jegarajah Clin Pathol Original Research INTRODUCTION AND OBJECTIVES: The study was conducted to assess the association of neutrophil lymphocyte ratio (NLR) in COVID-19 and to identify the cut-off value that predicts mortality, need of respiratory support and admission to high-dependency or intensive care. METHODS: A retrospective observational study was conducted to collect demographic data, clinical variables, the neutrophil-lymphocyte ratio on-admission and the outcome of confirmed COVID-19 patients admitted to a tertiary care center in Sri Lanka. RESULTS: There were 208 patients with a median age of 56 years (IQR 43-67) and 98 (47.1%) males. The median neutrophil count was 4.07 × 10(3)/µL (IQR 2.97-6.79) and the median lymphocyte count was 1.74 × 10(3)/µL (IQR 1.36-4.75). The calculated NLR ranged from 0.12 to 48.28 with a median value of 2.32 (IQR 1.37-4.76). A NLR value >3.6 predicted development of severe disease requiring respiratory support, transfer to a high-dependency or an intensive care unit and/or succumbing to the illness with a sensitivity 80% and specificity 80% (area under the curve 0.8, 95% CI 0.72-0.88, P < .0001). The adjusted odds ratio of NLR > 3.6 on predicting severe disease was 11.1, 95% CI 4.5- 27.0, P < .0001. CONCLUSIONS: A NLR > 3.6 is a useful variable to be included in risk prediction scores in Sri Lanka. SAGE Publications 2022-04-13 /pmc/articles/PMC9016554/ /pubmed/35450133 http://dx.doi.org/10.1177/2632010X221090898 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Perera, Nilanka de Silva, Ashani Kumbukage, Mahesh Rambukwella, Roshan Indrakumar, Jegarajah Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration in COVID-19: Observations From a Resource Constraint Setting |
title | Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration
in COVID-19: Observations From a Resource Constraint Setting |
title_full | Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration
in COVID-19: Observations From a Resource Constraint Setting |
title_fullStr | Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration
in COVID-19: Observations From a Resource Constraint Setting |
title_full_unstemmed | Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration
in COVID-19: Observations From a Resource Constraint Setting |
title_short | Neutrophil Lymphocyte Ratio as a Marker of In-Hospital Deterioration
in COVID-19: Observations From a Resource Constraint Setting |
title_sort | neutrophil lymphocyte ratio as a marker of in-hospital deterioration
in covid-19: observations from a resource constraint setting |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016554/ https://www.ncbi.nlm.nih.gov/pubmed/35450133 http://dx.doi.org/10.1177/2632010X221090898 |
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