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Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study
BACKGROUND: Red blood cell distribution width (RDW) has been assessed during COVID-19 patient hospitalization, however, further research should be done to evaluate RDW from routine community blood tests, before infection, as a risk factor for COVID-19 related hospitalization and mortality. PATIENTS...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381942/ https://www.ncbi.nlm.nih.gov/pubmed/34409900 http://dx.doi.org/10.1080/07853890.2021.1968484 |
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author | Banon, Tamar Wortsman, Joshua Ben Moshe, Shay Gazit, Sivan Peretz, Asaf Ben Tov, Amir Chodick, Gabriel Perez, Galit Patalon, Tal |
author_facet | Banon, Tamar Wortsman, Joshua Ben Moshe, Shay Gazit, Sivan Peretz, Asaf Ben Tov, Amir Chodick, Gabriel Perez, Galit Patalon, Tal |
author_sort | Banon, Tamar |
collection | PubMed |
description | BACKGROUND: Red blood cell distribution width (RDW) has been assessed during COVID-19 patient hospitalization, however, further research should be done to evaluate RDW from routine community blood tests, before infection, as a risk factor for COVID-19 related hospitalization and mortality. PATIENTS AND METHODS: RDW was measured as a predictor along with age, sex, chronic illnesses, and BMI in logistic regressions to predict hospitalization and mortality. Hospitalization and mortality odds ratios (ORs) were estimated with 95% confidence intervals (CI). RDW was evaluated separately as continuous and discrete (High RDW ≥ 14.5) variables. RESULTS: Four thousand one hundred and sixty-eight patients were included in this study, where 824 patients (19.8%) had a high RDW value ≥14.5% (High RDW: 64.7% were female, mean age 58 years [±22] vs. Normal RDW: 60.2% female, mean age 46 years [±19]). Eight hundred and twenty-nine patients had a hospitalization, where the median time between positive PCR and hospital entry was 5 [IQR 1–18] days. Models were analyzed with RDW (continuous) and adjusted for age, sex, comorbidities, and BMI suggested an OR of 1.242 [95% CI = 1.187–2.688] for hospitalization and an OR of 2.911 [95% CI = 1.928–4.395] for mortality (p < .001). RDW (discrete) with the same adjustments presented an OR of 2.232 [95% CI = 1.853–1.300] for hospitalization and an OR of 1.263 [95% CI = 1.166–1.368] for mortality (p < .001). CONCLUSIONS: High RDW values obtained from community blood tests are associated with greater odds of hospitalization and mortality for patients with COVID-19. KEY MESSAGES: RDW measures before SARS-CoV-2 infection is a predictive factor for hospitalization and mortality. RDW threshold of 14.5% provides high sensitivity and specificity for COVID-19 related mortality, comparatively to other blood tests. Patient records should be accessed by clinicians for prior RDW results, if available, followed by further monitoring. |
format | Online Article Text |
id | pubmed-8381942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-83819422021-08-24 Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study Banon, Tamar Wortsman, Joshua Ben Moshe, Shay Gazit, Sivan Peretz, Asaf Ben Tov, Amir Chodick, Gabriel Perez, Galit Patalon, Tal Ann Med Clinical Pathology BACKGROUND: Red blood cell distribution width (RDW) has been assessed during COVID-19 patient hospitalization, however, further research should be done to evaluate RDW from routine community blood tests, before infection, as a risk factor for COVID-19 related hospitalization and mortality. PATIENTS AND METHODS: RDW was measured as a predictor along with age, sex, chronic illnesses, and BMI in logistic regressions to predict hospitalization and mortality. Hospitalization and mortality odds ratios (ORs) were estimated with 95% confidence intervals (CI). RDW was evaluated separately as continuous and discrete (High RDW ≥ 14.5) variables. RESULTS: Four thousand one hundred and sixty-eight patients were included in this study, where 824 patients (19.8%) had a high RDW value ≥14.5% (High RDW: 64.7% were female, mean age 58 years [±22] vs. Normal RDW: 60.2% female, mean age 46 years [±19]). Eight hundred and twenty-nine patients had a hospitalization, where the median time between positive PCR and hospital entry was 5 [IQR 1–18] days. Models were analyzed with RDW (continuous) and adjusted for age, sex, comorbidities, and BMI suggested an OR of 1.242 [95% CI = 1.187–2.688] for hospitalization and an OR of 2.911 [95% CI = 1.928–4.395] for mortality (p < .001). RDW (discrete) with the same adjustments presented an OR of 2.232 [95% CI = 1.853–1.300] for hospitalization and an OR of 1.263 [95% CI = 1.166–1.368] for mortality (p < .001). CONCLUSIONS: High RDW values obtained from community blood tests are associated with greater odds of hospitalization and mortality for patients with COVID-19. KEY MESSAGES: RDW measures before SARS-CoV-2 infection is a predictive factor for hospitalization and mortality. RDW threshold of 14.5% provides high sensitivity and specificity for COVID-19 related mortality, comparatively to other blood tests. Patient records should be accessed by clinicians for prior RDW results, if available, followed by further monitoring. Taylor & Francis 2021-08-19 /pmc/articles/PMC8381942/ /pubmed/34409900 http://dx.doi.org/10.1080/07853890.2021.1968484 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Pathology Banon, Tamar Wortsman, Joshua Ben Moshe, Shay Gazit, Sivan Peretz, Asaf Ben Tov, Amir Chodick, Gabriel Perez, Galit Patalon, Tal Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title | Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title_full | Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title_fullStr | Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title_full_unstemmed | Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title_short | Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: a cohort study |
title_sort | evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with sars-cov-2: a cohort study |
topic | Clinical Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381942/ https://www.ncbi.nlm.nih.gov/pubmed/34409900 http://dx.doi.org/10.1080/07853890.2021.1968484 |
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