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Validation of red cell distribution width as a COVID-19 severity screening tool

AIM: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. METHOD: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere’ groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated a...

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Autores principales: Pouladzadeh, Mandana, Safdarian, Mehdi, Choghakabodi, Parastoo Moradi, Amini, Fatemeh, Sokooti, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056748/
https://www.ncbi.nlm.nih.gov/pubmed/34254030
http://dx.doi.org/10.2144/fsoa-2020-0199
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author Pouladzadeh, Mandana
Safdarian, Mehdi
Choghakabodi, Parastoo Moradi
Amini, Fatemeh
Sokooti, Alireza
author_facet Pouladzadeh, Mandana
Safdarian, Mehdi
Choghakabodi, Parastoo Moradi
Amini, Fatemeh
Sokooti, Alireza
author_sort Pouladzadeh, Mandana
collection PubMed
description AIM: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. METHOD: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere’ groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated as both continuous and categorical variables. Multivariate statistical analyses were used. RESULTS: RDW-SD ≤43 and ≤47 fl thresholds showed high specificity (90.1–91.4%) for diagnosing nonsevere illness and no risk of death. RDW-SD >47 indicated severe illness and a high mortality risk while 43<RDW-SD≤47 indicated severe illness with low risk of death. CONCLUSION: RDW-SD levels may be a potent independent predictor of the infection severity and mortality probability in COVID-19 patients.
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spelling pubmed-80567482021-04-20 Validation of red cell distribution width as a COVID-19 severity screening tool Pouladzadeh, Mandana Safdarian, Mehdi Choghakabodi, Parastoo Moradi Amini, Fatemeh Sokooti, Alireza Future Sci OA Research Article AIM: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. METHOD: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere’ groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated as both continuous and categorical variables. Multivariate statistical analyses were used. RESULTS: RDW-SD ≤43 and ≤47 fl thresholds showed high specificity (90.1–91.4%) for diagnosing nonsevere illness and no risk of death. RDW-SD >47 indicated severe illness and a high mortality risk while 43<RDW-SD≤47 indicated severe illness with low risk of death. CONCLUSION: RDW-SD levels may be a potent independent predictor of the infection severity and mortality probability in COVID-19 patients. Future Science Ltd 2021-04-20 /pmc/articles/PMC8056748/ /pubmed/34254030 http://dx.doi.org/10.2144/fsoa-2020-0199 Text en © 2021 Parastoo Moradi Choghakabodi https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Research Article
Pouladzadeh, Mandana
Safdarian, Mehdi
Choghakabodi, Parastoo Moradi
Amini, Fatemeh
Sokooti, Alireza
Validation of red cell distribution width as a COVID-19 severity screening tool
title Validation of red cell distribution width as a COVID-19 severity screening tool
title_full Validation of red cell distribution width as a COVID-19 severity screening tool
title_fullStr Validation of red cell distribution width as a COVID-19 severity screening tool
title_full_unstemmed Validation of red cell distribution width as a COVID-19 severity screening tool
title_short Validation of red cell distribution width as a COVID-19 severity screening tool
title_sort validation of red cell distribution width as a covid-19 severity screening tool
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056748/
https://www.ncbi.nlm.nih.gov/pubmed/34254030
http://dx.doi.org/10.2144/fsoa-2020-0199
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