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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8056748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Future Science Ltd |
record_format | MEDLINE/PubMed |
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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