Severely injured patients are always challenging, even more so when they have suffered critical trauma to the chest. The aim of this study is to create a prognostic tool for outcome prediction for patients with combined thoracic trauma based on the determination of main homeostasis parameters on the 1st and 2nd day after injury. Multivariate logistic regression analysis with forward elimination of the variables was used for modeling the dependence of outcome on clinical and laboratory parameters that reflects main pathophysiological mechanisms developed on the 1st and 2nd day after combined thoracic trauma. 73 Male patients with combined thoracic trauma were included in the study. The results of fitting a logistic regression model show the relationship between mortality and six independent variables: transferrin saturation, percentage of eosinophils, TNF-a concentration, total iron binding capacity, inspiratory fraction of oxygen and albumin concentration. Besides that, forward elimination of the variables into the logistic regression equation helps to recognize relatively independent pathophysiological mechanisms involved to progression of wound dystrophy. The likelihood ratio tests can reflect the contribution degree of each pathogenesis rout responsible for the negative outcomes of the severe combined thoracic trauma. The study contributes to our understanding of interaction between pathophysiological mechanisms that make harmful effects and are involved in the progression of wound dystrophy and compensatory reactions directed on stabilization of vital function disturbances and maintenance of homeostasis during this type of wound dystrophy.