Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients
Abstract COVID-19 is a disease with a variable clinical course ranging from mild symptoms to critical illness, organ failure, and death. Prospective biomarkers may help to predict the severity of an individual’s clinical course and mortality risk. We analyzed asymmetric (ADMA) and symmetric dimethyl...
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Nature Portfolio
2021
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oai:doaj.org-article:cfb59b384f1342008b85e1afe0614aec2021-12-02T16:57:57ZElevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients10.1038/s41598-021-89180-w2045-2322https://doaj.org/article/cfb59b384f1342008b85e1afe0614aec2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89180-whttps://doaj.org/toc/2045-2322Abstract COVID-19 is a disease with a variable clinical course ranging from mild symptoms to critical illness, organ failure, and death. Prospective biomarkers may help to predict the severity of an individual’s clinical course and mortality risk. We analyzed asymmetric (ADMA) and symmetric dimethylarginine (SDMA) in blood samples from 31 patients hospitalized for COVID-19. We calculated associations of ADMA and SDMA with mortality and organ failure, and we developed a predictive algorithm based upon these biomarkers to predict mortality risk. Nine patients (29%) experienced in-hospital death. SDMA and ADMA serum concentrations were significantly higher at admission in COVID-19 patients who died than in survivors. Cut-offs of 0.90 µmol/L for SDMA (AUC, 0.904, p = 0.0005) and 0.66 µmol/L for ADMA (AUC, 0.874, p = 0.0013) were found in ROC analyses to best discriminate both subgroups of patients. Hazard ratio for in-hospital mortality was 12.2 (95% CI: 2.2–31.2) for SDMA and 6.3 (1.1–14.7) for ADMA above cut-off. Sequential analysis of both biomarkers allowed discriminating a high-risk group (87.5% mortality) from an intermediate-risk group (25% mortality) and a low-risk group (0% mortality). Elevated circulating concentrations of SDMA and ADMA may help to better identify COVID-19 patients with a high risk of in-hospital mortality.Juliane HannemannPaul BalfanzEdzard SchwedhelmBojan HartmannJohanna UleDirk Müller-WielandEdgar DahlMichael DreherNikolaus MarxRainer BögerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Juliane Hannemann Paul Balfanz Edzard Schwedhelm Bojan Hartmann Johanna Ule Dirk Müller-Wieland Edgar Dahl Michael Dreher Nikolaus Marx Rainer Böger Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
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Abstract COVID-19 is a disease with a variable clinical course ranging from mild symptoms to critical illness, organ failure, and death. Prospective biomarkers may help to predict the severity of an individual’s clinical course and mortality risk. We analyzed asymmetric (ADMA) and symmetric dimethylarginine (SDMA) in blood samples from 31 patients hospitalized for COVID-19. We calculated associations of ADMA and SDMA with mortality and organ failure, and we developed a predictive algorithm based upon these biomarkers to predict mortality risk. Nine patients (29%) experienced in-hospital death. SDMA and ADMA serum concentrations were significantly higher at admission in COVID-19 patients who died than in survivors. Cut-offs of 0.90 µmol/L for SDMA (AUC, 0.904, p = 0.0005) and 0.66 µmol/L for ADMA (AUC, 0.874, p = 0.0013) were found in ROC analyses to best discriminate both subgroups of patients. Hazard ratio for in-hospital mortality was 12.2 (95% CI: 2.2–31.2) for SDMA and 6.3 (1.1–14.7) for ADMA above cut-off. Sequential analysis of both biomarkers allowed discriminating a high-risk group (87.5% mortality) from an intermediate-risk group (25% mortality) and a low-risk group (0% mortality). Elevated circulating concentrations of SDMA and ADMA may help to better identify COVID-19 patients with a high risk of in-hospital mortality. |
format |
article |
author |
Juliane Hannemann Paul Balfanz Edzard Schwedhelm Bojan Hartmann Johanna Ule Dirk Müller-Wieland Edgar Dahl Michael Dreher Nikolaus Marx Rainer Böger |
author_facet |
Juliane Hannemann Paul Balfanz Edzard Schwedhelm Bojan Hartmann Johanna Ule Dirk Müller-Wieland Edgar Dahl Michael Dreher Nikolaus Marx Rainer Böger |
author_sort |
Juliane Hannemann |
title |
Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
title_short |
Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
title_full |
Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
title_fullStr |
Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
title_full_unstemmed |
Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients |
title_sort |
elevated serum sdma and adma at hospital admission predict in-hospital mortality of covid-19 patients |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/cfb59b384f1342008b85e1afe0614aec |
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