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316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study

BACKGROUND: The quest for an easy yet effective and affordable tool in predicting mortality among COVID 19 patients is one of the major health concerns that should be addressed. In this study, we investigated the role of these hemogram derived ratios- Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte...

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Autores principales: Nanas, Denise Marie J, Nolasco, Marjorie A, Samin, Divina Cristy R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751925/
http://dx.doi.org/10.1093/ofid/ofac492.394
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author Nanas, Denise Marie J
Nolasco, Marjorie A
Samin, Divina Cristy R
author_facet Nanas, Denise Marie J
Nolasco, Marjorie A
Samin, Divina Cristy R
author_sort Nanas, Denise Marie J
collection PubMed
description BACKGROUND: The quest for an easy yet effective and affordable tool in predicting mortality among COVID 19 patients is one of the major health concerns that should be addressed. In this study, we investigated the role of these hemogram derived ratios- Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-LymphocyteRatio in predicting in-hospital COVID 19 Mortality. Objectives of this study aimed to determine the optimal cut-off value of each ratio and compare the values of each ratio in predicting mortality. METHODS: A cross sectional retrospective study utilizing chart review of adult, COVID 19 confirmed patients admitted at Dr. Paulino J. Garcia Memorial Research and Medical Center from July 2020 to July 2021 were analyzed. Complete blood count taken within 24 hours of admission were recorded. The primary outcome was in-hospital mortality. The NLR, MLR and PLR values were computed and were stratified into two groups after determining the optimal cut-off from the receiver operating characteristic curve (ROC) curve. RESULTS: A total of 226 adult Filipinos with confirmed COVID 19 infection were included. Patients who died had significantly higher mean age (p=0.004), lower mean hospital days (p=< 0.001) and significantly had a higher proportion of diabetes (p=< 0.027) as a co-morbidity. Significantly higher neutrophils (p=< 0.001), lower lymphocytes (p=< 0.001), higher NLR (p=< 0.001), higher MLR (p=0.002) and higher PLR (p=< 0.001) among non-survivors than survivors group. The optimal cutoff value of NLR to predict in-hospital mortality is ≥5.846 with 66.37% sensitivity and 60.18% specificity (AuROC curve of 0.695). The optimal cut off value of MLR is ≥0.4444 and PLR of ≥190. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: NLR, MLR and PLR were noted to be consistently high among non-survivors of COVID 19 Infection. These are useful markers in predicting in-hospital mortality. NLR appears to be the best predictor of COVID-19 mortality of the three markers. However, its overall diagnostic accuracy is only considered acceptable at best. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97519252022-12-16 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study Nanas, Denise Marie J Nolasco, Marjorie A Samin, Divina Cristy R Open Forum Infect Dis Abstracts BACKGROUND: The quest for an easy yet effective and affordable tool in predicting mortality among COVID 19 patients is one of the major health concerns that should be addressed. In this study, we investigated the role of these hemogram derived ratios- Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-LymphocyteRatio in predicting in-hospital COVID 19 Mortality. Objectives of this study aimed to determine the optimal cut-off value of each ratio and compare the values of each ratio in predicting mortality. METHODS: A cross sectional retrospective study utilizing chart review of adult, COVID 19 confirmed patients admitted at Dr. Paulino J. Garcia Memorial Research and Medical Center from July 2020 to July 2021 were analyzed. Complete blood count taken within 24 hours of admission were recorded. The primary outcome was in-hospital mortality. The NLR, MLR and PLR values were computed and were stratified into two groups after determining the optimal cut-off from the receiver operating characteristic curve (ROC) curve. RESULTS: A total of 226 adult Filipinos with confirmed COVID 19 infection were included. Patients who died had significantly higher mean age (p=0.004), lower mean hospital days (p=< 0.001) and significantly had a higher proportion of diabetes (p=< 0.027) as a co-morbidity. Significantly higher neutrophils (p=< 0.001), lower lymphocytes (p=< 0.001), higher NLR (p=< 0.001), higher MLR (p=0.002) and higher PLR (p=< 0.001) among non-survivors than survivors group. The optimal cutoff value of NLR to predict in-hospital mortality is ≥5.846 with 66.37% sensitivity and 60.18% specificity (AuROC curve of 0.695). The optimal cut off value of MLR is ≥0.4444 and PLR of ≥190. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: NLR, MLR and PLR were noted to be consistently high among non-survivors of COVID 19 Infection. These are useful markers in predicting in-hospital mortality. NLR appears to be the best predictor of COVID-19 mortality of the three markers. However, its overall diagnostic accuracy is only considered acceptable at best. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9751925/ http://dx.doi.org/10.1093/ofid/ofac492.394 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Nanas, Denise Marie J
Nolasco, Marjorie A
Samin, Divina Cristy R
316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title_full 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title_fullStr 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title_full_unstemmed 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title_short 316. The Value of Monocyte-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio in Predicting COVID-19 Mortality: A Single-Center Retrospective Study
title_sort 316. the value of monocyte-lymphocyte ratio, neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in predicting covid-19 mortality: a single-center retrospective study
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751925/
http://dx.doi.org/10.1093/ofid/ofac492.394
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