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Hematologic changes predict clinical outcome in recovered patients with COVID-19

2019 coronavirus disease (COVID-19) presents as a newly recognized pneumonia that has brought about a global pandemic and is increasingly considered as a systemic illness. We investigated the clinical and laboratory features of recovered COVID-19 patients without pre-existing hematologic diseases at...

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Autores principales: Mao, Jian, Dai, Rong, Du, Rui-Chan, Zhu, Yan, Shui, Li-Ping, Luo, Xiao-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848253/
https://www.ncbi.nlm.nih.gov/pubmed/33523290
http://dx.doi.org/10.1007/s00277-021-04426-x
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author Mao, Jian
Dai, Rong
Du, Rui-Chan
Zhu, Yan
Shui, Li-Ping
Luo, Xiao-Hua
author_facet Mao, Jian
Dai, Rong
Du, Rui-Chan
Zhu, Yan
Shui, Li-Ping
Luo, Xiao-Hua
author_sort Mao, Jian
collection PubMed
description 2019 coronavirus disease (COVID-19) presents as a newly recognized pneumonia that has brought about a global pandemic and is increasingly considered as a systemic illness. We investigated the clinical and laboratory features of recovered COVID-19 patients without pre-existing hematologic diseases at Wuhan No. 1 Hospital. Fifty-nine male and 68 female Chinese patients were included with the median age at 64 years in the present study. Eosinopenia (37.80%), monocytosis (51.97%), lymphocytopenia (25.20%), and anemia (51.97%) were the most common hematologic findings in our cohort, particularly in severe or critically ill COVID-19. The levels of changes in leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, platelets, hemoglobin levels, mean corpuscular volume (MCV), and mean cell hemoglobin concentration (MCHC) are overall associated with lung involvement, oxygen demand, and disease activity. However, changes of eosinophils (end hospitalization-baseline) (coefficients = 10.32; 95% CI = 1.03–19.60, P = 0.03) and basophils (Max − Min) (coefficients = 71.43; 95% CI = 8.55–134.31, P = 0.03) were independent predictors of delayed recovery in the hospital by the multivariate analysis in this recovered population. A variety of hematologic changes are associated with the severity and clinical outcome of recovered COVID-19 patients, which warrants further exploration of their underlying mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00277-021-04426-x.
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spelling pubmed-78482532021-02-01 Hematologic changes predict clinical outcome in recovered patients with COVID-19 Mao, Jian Dai, Rong Du, Rui-Chan Zhu, Yan Shui, Li-Ping Luo, Xiao-Hua Ann Hematol Original Article 2019 coronavirus disease (COVID-19) presents as a newly recognized pneumonia that has brought about a global pandemic and is increasingly considered as a systemic illness. We investigated the clinical and laboratory features of recovered COVID-19 patients without pre-existing hematologic diseases at Wuhan No. 1 Hospital. Fifty-nine male and 68 female Chinese patients were included with the median age at 64 years in the present study. Eosinopenia (37.80%), monocytosis (51.97%), lymphocytopenia (25.20%), and anemia (51.97%) were the most common hematologic findings in our cohort, particularly in severe or critically ill COVID-19. The levels of changes in leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, platelets, hemoglobin levels, mean corpuscular volume (MCV), and mean cell hemoglobin concentration (MCHC) are overall associated with lung involvement, oxygen demand, and disease activity. However, changes of eosinophils (end hospitalization-baseline) (coefficients = 10.32; 95% CI = 1.03–19.60, P = 0.03) and basophils (Max − Min) (coefficients = 71.43; 95% CI = 8.55–134.31, P = 0.03) were independent predictors of delayed recovery in the hospital by the multivariate analysis in this recovered population. A variety of hematologic changes are associated with the severity and clinical outcome of recovered COVID-19 patients, which warrants further exploration of their underlying mechanisms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00277-021-04426-x. Springer Berlin Heidelberg 2021-02-01 2021 /pmc/articles/PMC7848253/ /pubmed/33523290 http://dx.doi.org/10.1007/s00277-021-04426-x Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Mao, Jian
Dai, Rong
Du, Rui-Chan
Zhu, Yan
Shui, Li-Ping
Luo, Xiao-Hua
Hematologic changes predict clinical outcome in recovered patients with COVID-19
title Hematologic changes predict clinical outcome in recovered patients with COVID-19
title_full Hematologic changes predict clinical outcome in recovered patients with COVID-19
title_fullStr Hematologic changes predict clinical outcome in recovered patients with COVID-19
title_full_unstemmed Hematologic changes predict clinical outcome in recovered patients with COVID-19
title_short Hematologic changes predict clinical outcome in recovered patients with COVID-19
title_sort hematologic changes predict clinical outcome in recovered patients with covid-19
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848253/
https://www.ncbi.nlm.nih.gov/pubmed/33523290
http://dx.doi.org/10.1007/s00277-021-04426-x
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