Oxygen metabolism markers as predictors of mortality in severe COVID-19
Objective: To investigate the use of oxygen metabolism markers as predictors of mortality in patients with severe coronavirus disease 2019 (COVID-19). Methods: A retrospective analysis was undertaken to compare the medical records of patients with severe COVID-19 (53 deceased patients and 50 survivo...
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2021-02-01
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doaj-5b6919d4d9124019a3db0d14f2328d312021-02-07T04:22:09ZengElsevierInternational Journal of Infectious Diseases1201-97122021-02-01103452456Oxygen metabolism markers as predictors of mortality in severe COVID-19Oleksandr V. Oliynyk0Marta Rorat1Wojciech Barg2Department of Anaesthesiology and Intensive Care, Bogomolets National Medical University, Kiev, Ukraine; Department of Emergency Medicine, High Education State School named by Pope John Paul II, Biala Podlaska, PolandI Infectious Diseases Ward, J. Gromkowski Regional Specialist Hospital, Wroclaw, Poland; Department of Forensic Medicine, Wroclaw Medical University, Wroclaw, Poland; Corresponding author at: Department of Forensic Medicine, Wroclaw Medical University, Mikulicza-Radeckiego 4, 50-345 Wroclaw, Poland.Department of Internal Medicine, Pneumonology and Allergology, Wroclaw Medical University, Wroclaw, PolandObjective: To investigate the use of oxygen metabolism markers as predictors of mortality in patients with severe coronavirus disease 2019 (COVID-19). Methods: A retrospective analysis was undertaken to compare the medical records of patients with severe COVID-19 (53 deceased patients and 50 survivors). The survivors were selected from 222 records using a random number generator. In addition, 28 individuals who considered themselves to be healthy and who had no history of serious illness were included in the study for comparison. Oxygen saturation in arterial blood, oxygen saturation in central venous blood (ScvO2), arterial partial pressure of oxygen (PaO2), respiratory index (PaO2/fraction of inspired oxygen), oxygen delivery, oxygen consumption (VO2) and oxygen extraction (O2ER) were compared in all participants. The optimal cut-off point for each oxygen metabolism marker in the prediction of mortality was determined based on the maximum value of the Youden Index in receiver operating characteristic curve analysis. Results: Significant differences in all studied oxygen metabolism markers were found between survivors compared with deceased patients (p < 0.001). ScvO2, VO2 and O2ER [area under curve (AUC) 1.0] were the strongest predictors of mortality, and PaO2 was the weakest predictor of mortality (AUC 0.81). ScvO2 <29%, VO2 >124.6 ml/min and O2ER >30.2% were identified as predictors of mortality in patients with COVID-19. Conclusion: ScvO2, VO2 and O2ER are good predictors of mortality in critically ill patients with COVID-19.http://www.sciencedirect.com/science/article/pii/S1201971220325352COVID-19ARDSOxygen metabolismDeterminants of mortalityRespiratory failure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Oleksandr V. Oliynyk Marta Rorat Wojciech Barg |
spellingShingle |
Oleksandr V. Oliynyk Marta Rorat Wojciech Barg Oxygen metabolism markers as predictors of mortality in severe COVID-19 International Journal of Infectious Diseases COVID-19 ARDS Oxygen metabolism Determinants of mortality Respiratory failure |
author_facet |
Oleksandr V. Oliynyk Marta Rorat Wojciech Barg |
author_sort |
Oleksandr V. Oliynyk |
title |
Oxygen metabolism markers as predictors of mortality in severe COVID-19 |
title_short |
Oxygen metabolism markers as predictors of mortality in severe COVID-19 |
title_full |
Oxygen metabolism markers as predictors of mortality in severe COVID-19 |
title_fullStr |
Oxygen metabolism markers as predictors of mortality in severe COVID-19 |
title_full_unstemmed |
Oxygen metabolism markers as predictors of mortality in severe COVID-19 |
title_sort |
oxygen metabolism markers as predictors of mortality in severe covid-19 |
publisher |
Elsevier |
series |
International Journal of Infectious Diseases |
issn |
1201-9712 |
publishDate |
2021-02-01 |
description |
Objective: To investigate the use of oxygen metabolism markers as predictors of mortality in patients with severe coronavirus disease 2019 (COVID-19). Methods: A retrospective analysis was undertaken to compare the medical records of patients with severe COVID-19 (53 deceased patients and 50 survivors). The survivors were selected from 222 records using a random number generator. In addition, 28 individuals who considered themselves to be healthy and who had no history of serious illness were included in the study for comparison. Oxygen saturation in arterial blood, oxygen saturation in central venous blood (ScvO2), arterial partial pressure of oxygen (PaO2), respiratory index (PaO2/fraction of inspired oxygen), oxygen delivery, oxygen consumption (VO2) and oxygen extraction (O2ER) were compared in all participants. The optimal cut-off point for each oxygen metabolism marker in the prediction of mortality was determined based on the maximum value of the Youden Index in receiver operating characteristic curve analysis. Results: Significant differences in all studied oxygen metabolism markers were found between survivors compared with deceased patients (p < 0.001). ScvO2, VO2 and O2ER [area under curve (AUC) 1.0] were the strongest predictors of mortality, and PaO2 was the weakest predictor of mortality (AUC 0.81). ScvO2 <29%, VO2 >124.6 ml/min and O2ER >30.2% were identified as predictors of mortality in patients with COVID-19. Conclusion: ScvO2, VO2 and O2ER are good predictors of mortality in critically ill patients with COVID-19. |
topic |
COVID-19 ARDS Oxygen metabolism Determinants of mortality Respiratory failure |
url |
http://www.sciencedirect.com/science/article/pii/S1201971220325352 |
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