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10.1016/j.ijid.2020.12.012 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.12.012 33310024!7833681!33310024     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Infect+Dis 2021 ; 103 (ä): 452-456 Nephropedia Template TP {{tp|p=33310024|t=2021. Oxygen metabolism markers as predictors of mortality in severe COVID-19 |pdf=|usr=}}{{33310024}} gab.com Text Oxygen metabolism markers as predictors of mortality in severe COVID-19 JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33310024 #FOAvip 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 (ScvO(2)), arterial partial pressure of oxygen (PaO(2)), respiratory index (PaO(2)/fraction of inspired oxygen), oxygen delivery, oxygen consumption (VO(2)) and oxygen extraction (O(2)ER) 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). ScvO(2), VO(2) and O(2)ER [area under curve (AUC) 1.0] were the strongest predictors of mortality, and PaO(2) was the weakest predictor of mortality (AUC 0.81). ScvO(2) <29%, VO(2) >124.6 ml/min and O(2)ER >30.2% were identified as predictors of mortality in patients with COVID-19. CONCLUSION: ScvO(2), VO2 and O(2)ER are good predictors of mortality in critically ill patients with COVID-19. Twit Text FOAVip Oxygen metabolism markers as predictors of mortality in severe COVID-19 ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33310024 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33310024 #FOAvip English Wikipedia <ref>{{Cite pmid|33310024}}</ref> Oxygen metabolism markers as predictors of mortality in severe COVID-19 #MMPMID33310024 Oliynyk OV; Rorat M; Barg W Int J Infect Dis 2021[Feb]; 103 (ä): 452-456 PMID33310024show ga 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 (ScvO(2)), arterial partial pressure of oxygen (PaO(2)), respiratory index (PaO(2)/fraction of inspired oxygen), oxygen delivery, oxygen consumption (VO(2)) and oxygen extraction (O(2)ER) 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). ScvO(2), VO(2) and O(2)ER [area under curve (AUC) 1.0] were the strongest predictors of mortality, and PaO(2) was the weakest predictor of mortality (AUC 0.81). ScvO(2) <29%, VO(2) >124.6 ml/min and O(2)ER >30.2% were identified as predictors of mortality in patients with COVID-19. CONCLUSION: ScvO(2), VO2 and O(2)ER are good predictors of mortality in critically ill patients with COVID-19. |*SARS-CoV-2[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Biomarkers/blood[MESH] |COVID-19/*mortality[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Oxygen Consumption[MESH] |Oxygen/*metabolism[MESH]Oxygen metabolism markers as predictors of mortality in severe COVID-1(epmc).pdf DeepDyve Pubget Overpricing