HMGB1 and COVID-19: Therefore, in the current study, we examined tissue damage markers such as HMGB1, LDH, AST, ALT and blood coagulation parameters, in combination with the profile of 47 cytokines, and analyzed them by unbiased machine learning methods (Logistic Regression, Support Vector Machine and Random Forest) to identify a combination of factors that could help to predict severe COVID-19.