Syndecan-1 levels predict septic shock in critically ill patients with COVID-19.

BACKGROUND: The clinical picture of coronavirus disease 2019 (COVID-19)-associated sepsis is similar to that of sepsis of other aetiologies. The present study aims to analyse the role of syndecan-1 (SDC-1) as a potential predictor of septic shock in critically ill patients with COVID-19. METHODS: This is a prospective study of 86 critically ill patients due to COVID-19 infection. Patients were followed until day 28 of hospitalization. Vascular biomarkers, such as vascular cell adhesion protein-1, SDC-1, angiopoietin-1 and angiopoietin-2, were quantified upon admission and associated with the need for vasopressors in the first 7 d of hospitalization. RESULTS: A total of 86 patients with COVID-19 (mean age 60±16 y; 51 men [59%]) were evaluated. Thirty-six (42%) patients died during hospitalization and 50 (58%) survived. The group receiving vasopressors had higher levels of D-dimer (2.46 ng/ml [interquartile range {IQR} 0.6-6.1] vs 1.01 ng/ml [IQR 0.62-2.6], p=0.019) and lactate dehydrogenase (929±382 U/l vs 766±312 U/l, p=0.048). The frequency of deaths during hospitalization was higher in the group that received vasoactive amines in the first 24 h in the intensive care unit (70% vs 30%, p=0.002). SDC-1 levels were independently associated with the need for vasoactive amines, and admission values >269 ng/ml (95% CI 0.524 to 0.758, p=0.024) were able to predict the need for vasopressors during the 7 d following admission. CONCLUSIONS: Syndecan-1 levels predict septic shock in critically ill patients with COVID-19.

Endothelial Biomarkers in Critically Ill COVID-19 Patients: Potential Predictors of the Need for Dialysis.

INTRODUCTION: The aim of this was to evaluate the function of vascular biomarkers to predict the need for hemodialysis in critically ill patients with COVID-19. METHODS: This is a prospective study with 58 critically ill patients due to COVID-19 infection. Laboratory tests in general and vascular biomarkers, such as VCAM-1, syndecan-1, angiopoietin-1, and angiopoietin-2, were quantified on intensive care unit (ICU) admission. RESULTS: There was a 40% death rate. VCAM and Ang-2/Ang-1 ratio on ICU admission were associated with the need for hemodialysis. Vascular biomarkers (VCAM-1, syndecan-1, angiopoietin-2/angiopoietin-1 ratio) were predictors of death and their cutoff values were useful to stratify patients with a worse prognosis. In the multivariate cox regression analysis with adjusted models, VCAM-1 (OR 1.13 [CI 95%: 1.01-1.27]; p = 0.034) and Ang-2/Ang-1 ratio (OR 4.87 [CI 95%: 1.732-13.719]; p = 0.003) were associated with the need for dialysis. CONCLUSION: Vascular biomarkers, mostly VCAM-1 and Ang-2/Ang-1 ratio, showed better efficiency to predict the need for hemodialysis in critically ill COVID-19 patients.

Critically ill COVID-19 patients in northeast Brazil: mortality predictors during the first and second waves including SAPS 3.

BACKGROUND: The Simplified Acute Physiology Score (SAPS) 3 is a reliable score to predict mortality. This study aims to investigate the predictive values of SAPS 3 and other clinical parameters for death in critically ill coronavirus disease 2019 (COVID-19) patients. METHODS: This is a prospective study in a tertiary hospital for patients who required intensive care due to COVID-19 infection in northeast Brazil. Two distinct groups were constructed according to the epidemiological data: first wave and second wave. The severity of patients admitted was estimated using the SAPS 3 score. RESULTS: A total of 767 patients were included: 290 were enrolled in the first wave and 477 in the second wave. Patients in the first wave had more comorbidities, were put on mechanical ventilation and required dialysis and vasopressors more frequently (p<0.05). During the second wave, non-invasive ventilation was more often required (p<0.05). In both periods, older patients and higher SAPS 3 scores on admission were associated with death (p<0.05). Non-invasive ventilation use showed a negative association with death only in the second wave period. In the first wave, the SAPS 3 score was more useful (area under the curve [AUC] 0.897) in predicting death in critically ill COVID-19 patients than in the second wave (AUC 0.810). CONCLUSION: The SAPS 3 showed very reliable predictive values for death during the waves of the COVID-19 pandemic, mostly together with kidney and pulmonary dysfunction.