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Predictive value of coagulation variables and glycocalyx shedding in hospitalized COVID-19 patients - a prospective
Sarah Thaler1, Dana Stöhr1, Tobias Kammerer1,2
1Department of Anaesthesiology, University Hospital, Munich, Germany.
Insights
Standard inflammatory markers like D-dimer and IL-6 predict severe COVID-19 requiring intensive care unit (ICU) admission. Coagulation and glycocalyx markers do not predict ICU need upon initial hospital admission.
Area of Science:
- Medical Research
- Infectious Diseases
- Critical Care Medicine
Background:
- COVID-19 poses a significant healthcare burden, with patient outcomes varying widely.
- Identifying factors predicting severe disease progression is crucial for resource allocation and patient management.
- Coagulation disorders are frequently observed in COVID-19 patients, necessitating further investigation.
Purpose of the Study:
- To identify predictors of intensive care unit (ICU) admission in COVID-19 patients.
- To evaluate the predictive value of coagulation system variables, including standard and viscoelastometric tests.
- To assess the role of glycocalyx damage components in predicting severe COVID-19 outcomes.
Main Methods:
- Adult COVID-19 patients were enrolled within 24 hours of hospital admission.
- Blood samples were analyzed at hospital admission and, if applicable, at ICU admission.
- Group differences were analyzed, and receiver operating characteristic (ROC) curves were generated to determine predictive values.
Main Results:
- In patients requiring ICU admission, D-dimer, IL-6, and C-reactive protein levels were significantly higher at hospital admission compared to non-ICU patients.
- Specific cut-off values were identified for D-dimer (1050 µg/ml), IL-6 (21.25 pg/ml), and C-reactive protein (54.5 mg/dl) with varying sensitivity and specificity.
- Thromboelastometric variables and markers of glycocalyx damage (heparan sulfate, hyaluronic acid, syndecan-1) did not differ significantly between ICU and non-ICU groups at hospital admission.
Conclusions:
- General inflammatory markers remain the most reliable predictors of severe COVID-19 requiring ICU admission.
- Viscoelastometric variables and glycocalyx damage markers are elevated upon ICU admission but do not predict the need for ICU admission at the time of initial hospital presentation.
Objectives:
Covid-19 disease causes an immense burden on the healthcare system. It has not yet been finally clarified which patients will suffer from a severe course and which will not. Coagulation disorders can be detected in many of these patients. The aim of the present study was therefore to identify variables of the coagulation system including standard and viscoelastometric tests as well as components of glycocalyx damage that predict admission to the intensive care unit.
Methods:
Adult patients were included within 24 h of admission. Blood samples were analyzed at hospital admission and at ICU admission if applicable. We analyzed group differences and furthermore performed receiver operator characteristics (ROC).
Results:
This study included 60 adult COVID-19 patients. During their hospital stay, 14 patients required ICU treatment. Comparing ICU and non-ICU patients at time of hospital admission, D-dimer (1450 µg/ml (675/2850) vs. 600 µg/ml (500/900); p = 0.0022; cut-off 1050 µg/ml, sensitivity 71%, specificity 89%) and IL-6 (47.6 pg/ml (24.9/85.4 l) vs. 16.1 pg/ml (5.5/34.4); p = 0.0003; cut-off 21.25 pg/ml, sensitivity 86%, specificity 65%) as well as c-reactive protein (92 mg/dl (66.8/131.5) vs. 43.5 mg/dl (26.8/83.3); p = 0.0029; cutoff 54.5 mg/dl, sensitivity 86%, specificity 65%) were higher in patients who required ICU admission. Thromboelastometric variables and markers of glycocalyx damage (heparan sulfate, hyaluronic acid, syndecan-1) at the time of hospital admission did not differ between groups.
Conclusion:
General inflammatory variables continue to be the most robust predictors of a severe course of a COVID-19 infection. Viscoelastometric variables and markers of glycocalyx damage are significantly increased upon admission to the ICU without being predictors of ICU admission.
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