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Mild anemia as a single independent predictor of mortality in patients with COVID‐19

The coronavirus disease 2019 (COVID‐19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) has led to an unprecedented international health crisis. COVID‐19 clinical presentations cover a wide range from asymptomatic to severe illness and death. Given the limited therapeutic reso...

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Autores principales: Tremblay, Douglas, Rapp, Joseph L., Alpert, Naomi, Lieberman‐Cribbin, Wil, Mascarenhas, John, Taioli, Emanuela, Ghaffari, Saghi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242891/
https://www.ncbi.nlm.nih.gov/pubmed/34226904
http://dx.doi.org/10.1002/jha2.167
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author Tremblay, Douglas
Rapp, Joseph L.
Alpert, Naomi
Lieberman‐Cribbin, Wil
Mascarenhas, John
Taioli, Emanuela
Ghaffari, Saghi
author_facet Tremblay, Douglas
Rapp, Joseph L.
Alpert, Naomi
Lieberman‐Cribbin, Wil
Mascarenhas, John
Taioli, Emanuela
Ghaffari, Saghi
author_sort Tremblay, Douglas
collection PubMed
description The coronavirus disease 2019 (COVID‐19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) has led to an unprecedented international health crisis. COVID‐19 clinical presentations cover a wide range from asymptomatic to severe illness and death. Given the limited therapeutic resources and unexpected clinical features of the disease, readily accessible predictive biomarkers are urgently needed to improve patient care and management. We asked the degree to which anemia may influence the outcome of patients with COVID‐19. To this end, we identified 3777 patients who were positively diagnosed with COVID‐19 between March 1 and April 1 2020 in New York City. We evaluated 2,562 patients with available red blood cell, hemoglobin, and related laboratory values. Multivariable cox proportional hazards regression showed that anemia was a significant independent predictor of mortality (hazard ratio (HR): 1.26, 95% Confidence Interval [CI]: 1.06‐1.51), independent of age, sex, and comorbidities. There was a direct correlation between the degree of anemia and the risk of mortality when hemoglobin was treated as a continuous variable (HR(adj) 1.05; [CI]: 1.01‐1.09). The hemoglobin level that was maximally predictive of mortality, was 11.5 g/dL in males and 11.8 g/dL in females. These findings identify a routinely measured biomarker that is predictive of disease outcomes and will aid in refining clinical care algorithms and optimize resource allocation. Mechanisms of impacts of anemia on COVID‐19 outcome are likely to be multiple in nature and require further investigation.
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spelling pubmed-82428912021-07-01 Mild anemia as a single independent predictor of mortality in patients with COVID‐19 Tremblay, Douglas Rapp, Joseph L. Alpert, Naomi Lieberman‐Cribbin, Wil Mascarenhas, John Taioli, Emanuela Ghaffari, Saghi EJHaem Sickle Cell, Thrombosis, and Haematology The coronavirus disease 2019 (COVID‐19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) has led to an unprecedented international health crisis. COVID‐19 clinical presentations cover a wide range from asymptomatic to severe illness and death. Given the limited therapeutic resources and unexpected clinical features of the disease, readily accessible predictive biomarkers are urgently needed to improve patient care and management. We asked the degree to which anemia may influence the outcome of patients with COVID‐19. To this end, we identified 3777 patients who were positively diagnosed with COVID‐19 between March 1 and April 1 2020 in New York City. We evaluated 2,562 patients with available red blood cell, hemoglobin, and related laboratory values. Multivariable cox proportional hazards regression showed that anemia was a significant independent predictor of mortality (hazard ratio (HR): 1.26, 95% Confidence Interval [CI]: 1.06‐1.51), independent of age, sex, and comorbidities. There was a direct correlation between the degree of anemia and the risk of mortality when hemoglobin was treated as a continuous variable (HR(adj) 1.05; [CI]: 1.01‐1.09). The hemoglobin level that was maximally predictive of mortality, was 11.5 g/dL in males and 11.8 g/dL in females. These findings identify a routinely measured biomarker that is predictive of disease outcomes and will aid in refining clinical care algorithms and optimize resource allocation. Mechanisms of impacts of anemia on COVID‐19 outcome are likely to be multiple in nature and require further investigation. John Wiley and Sons Inc. 2021-05-06 /pmc/articles/PMC8242891/ /pubmed/34226904 http://dx.doi.org/10.1002/jha2.167 Text en © 2021 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Sickle Cell, Thrombosis, and Haematology
Tremblay, Douglas
Rapp, Joseph L.
Alpert, Naomi
Lieberman‐Cribbin, Wil
Mascarenhas, John
Taioli, Emanuela
Ghaffari, Saghi
Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title_full Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title_fullStr Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title_full_unstemmed Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title_short Mild anemia as a single independent predictor of mortality in patients with COVID‐19
title_sort mild anemia as a single independent predictor of mortality in patients with covid‐19
topic Sickle Cell, Thrombosis, and Haematology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242891/
https://www.ncbi.nlm.nih.gov/pubmed/34226904
http://dx.doi.org/10.1002/jha2.167
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