Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19

Aim: We aimed to explore the biomarkers for disease progression or the risk of nonsurvivors. Materials & methods: This study included 134 hospitalized patients with confirmed COVID-19 infection. The outcome of moderate versus severe versus critically ill patients and survivors versus nonsurvivor...

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Autores principales: Li, Juyi, Li, Meng, Zheng, Shasha, Li, Menglan, Zhang, Minghua, Sun, Minxian, Li, Xiang, Deng, Aiping, Cai, Yi, Zhang, Hongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273900/
https://www.ncbi.nlm.nih.gov/pubmed/32490680
http://dx.doi.org/10.2217/bmm-2020-0254
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author Li, Juyi
Li, Meng
Zheng, Shasha
Li, Menglan
Zhang, Minghua
Sun, Minxian
Li, Xiang
Deng, Aiping
Cai, Yi
Zhang, Hongmei
author_facet Li, Juyi
Li, Meng
Zheng, Shasha
Li, Menglan
Zhang, Minghua
Sun, Minxian
Li, Xiang
Deng, Aiping
Cai, Yi
Zhang, Hongmei
author_sort Li, Juyi
collection PubMed
description Aim: We aimed to explore the biomarkers for disease progression or the risk of nonsurvivors. Materials & methods: This study included 134 hospitalized patients with confirmed COVID-19 infection. The outcome of moderate versus severe versus critically ill patients and survivors versus nonsurvivors were compared. Results: An increase in the severity of COVID-19 pneumonia was positively associated with lower levels of platelets and albumin (all p < 0.05). In the critical group, the plasma levels of albumin continued to have a significant association for the risk of nonsurvivors (p < 0.05), even after adjusting for confounding factors. Conclusion: Albumin levels could be used as an independent predictor of the risk of nonsurvivors in critically ill patients with COVID-19.
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spelling pubmed-72739002020-06-05 Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19 Li, Juyi Li, Meng Zheng, Shasha Li, Menglan Zhang, Minghua Sun, Minxian Li, Xiang Deng, Aiping Cai, Yi Zhang, Hongmei Biomark Med Research Article Aim: We aimed to explore the biomarkers for disease progression or the risk of nonsurvivors. Materials & methods: This study included 134 hospitalized patients with confirmed COVID-19 infection. The outcome of moderate versus severe versus critically ill patients and survivors versus nonsurvivors were compared. Results: An increase in the severity of COVID-19 pneumonia was positively associated with lower levels of platelets and albumin (all p < 0.05). In the critical group, the plasma levels of albumin continued to have a significant association for the risk of nonsurvivors (p < 0.05), even after adjusting for confounding factors. Conclusion: Albumin levels could be used as an independent predictor of the risk of nonsurvivors in critically ill patients with COVID-19. Future Medicine Ltd 2020-06-03 2020-05 /pmc/articles/PMC7273900/ /pubmed/32490680 http://dx.doi.org/10.2217/bmm-2020-0254 Text en © 2020 Future Medicine Ltd This work is licensed under the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/)
spellingShingle Research Article
Li, Juyi
Li, Meng
Zheng, Shasha
Li, Menglan
Zhang, Minghua
Sun, Minxian
Li, Xiang
Deng, Aiping
Cai, Yi
Zhang, Hongmei
Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title_full Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title_fullStr Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title_full_unstemmed Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title_short Plasma albumin levels predict risk for nonsurvivors in critically ill patients with COVID-19
title_sort plasma albumin levels predict risk for nonsurvivors in critically ill patients with covid-19
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273900/
https://www.ncbi.nlm.nih.gov/pubmed/32490680
http://dx.doi.org/10.2217/bmm-2020-0254
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