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Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission
Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials &...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114836/ http://dx.doi.org/10.2217/fvl-2020-0319 |
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author | Gemcioglu, Emin Davutoglu, Mehmet Catalbas, Ramis Karabuga, Berkan Kaptan, Enes Aypak, Adalet Kalem, Ayse K Özdemir, Mustafa Yeşilova, Necati Y Kalkan, Emra A Civak, Musa Kücüksahin, Orhan Erden, Abdulsamet Ates, Ihsan |
author_facet | Gemcioglu, Emin Davutoglu, Mehmet Catalbas, Ramis Karabuga, Berkan Kaptan, Enes Aypak, Adalet Kalem, Ayse K Özdemir, Mustafa Yeşilova, Necati Y Kalkan, Emra A Civak, Musa Kücüksahin, Orhan Erden, Abdulsamet Ates, Ihsan |
author_sort | Gemcioglu, Emin |
collection | PubMed |
description | Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials & methods: In this study, 609 patients were evaluated retrospectively. 11 biochemical parameters were included in analysis to explain the relationship with severity of disease. Results: Nearly, all the parameters that have been evaluated in this study were statistically valuable as a predictive parameter for severe disease. Areas under the curve of blood urea nitrogen (BUN)/albumin ratio (BAR), CALL score and lymphocyte/C-reactive protein ratio were 0.795, 0.778 and 0.770. The BUN/BAR and neutrophil/albumin ratios provide important prognostic information for decision-making in severe patients with COVID-19. Conclusion: High BUN/BAR and neutrophil/albumin ratios may be a better predictor of severity COVID-19 than other routinely used parameters in admission. |
format | Online Article Text |
id | pubmed-8114836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-81148362021-05-12 Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission Gemcioglu, Emin Davutoglu, Mehmet Catalbas, Ramis Karabuga, Berkan Kaptan, Enes Aypak, Adalet Kalem, Ayse K Özdemir, Mustafa Yeşilova, Necati Y Kalkan, Emra A Civak, Musa Kücüksahin, Orhan Erden, Abdulsamet Ates, Ihsan Future Virol Research Article Aim: COVID-19 is a pandemic that causes high morbidity and mortality, especially in severe patients. In this study, we aimed to search and explain the relationship between biochemical markers, which are more common, easily available and applicable to diagnose and to stage the disease. Materials & methods: In this study, 609 patients were evaluated retrospectively. 11 biochemical parameters were included in analysis to explain the relationship with severity of disease. Results: Nearly, all the parameters that have been evaluated in this study were statistically valuable as a predictive parameter for severe disease. Areas under the curve of blood urea nitrogen (BUN)/albumin ratio (BAR), CALL score and lymphocyte/C-reactive protein ratio were 0.795, 0.778 and 0.770. The BUN/BAR and neutrophil/albumin ratios provide important prognostic information for decision-making in severe patients with COVID-19. Conclusion: High BUN/BAR and neutrophil/albumin ratios may be a better predictor of severity COVID-19 than other routinely used parameters in admission. Future Medicine Ltd 2021-05-11 2021-04 /pmc/articles/PMC8114836/ http://dx.doi.org/10.2217/fvl-2020-0319 Text en © 2021 Future Medicine Ltd 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 Gemcioglu, Emin Davutoglu, Mehmet Catalbas, Ramis Karabuga, Berkan Kaptan, Enes Aypak, Adalet Kalem, Ayse K Özdemir, Mustafa Yeşilova, Necati Y Kalkan, Emra A Civak, Musa Kücüksahin, Orhan Erden, Abdulsamet Ates, Ihsan Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title | Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title_full | Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title_fullStr | Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title_full_unstemmed | Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title_short | Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission |
title_sort | predictive values of biochemical markers as early indicators for severe covid-19 cases in admission |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114836/ http://dx.doi.org/10.2217/fvl-2020-0319 |
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