The purpose of the study is to develop a prognostic model for assessing the risk of psychosocial maladjustment (PSM) in patients who have undergone cardiosurgical interventions (CI), taking into account a complex of surgical, neurological and psychopathological factors.

700 patients were examined after they underwent CI with an artificial blood circulation procedure: 86 patients with cerebral infarction, 217 patients with signs of postoperative encephalopathy and 504 patients with manifestations of cognitive dysfunction. For creating the model, non-linear modeling methods were used (multiple linear regression analysis with a linearized model).

Based on the research data, we proposed a complex model of PSM taking into account clinical, phenomenological and psychosocial factors. The model is based on a comprehensive assessment of three key vectors that can exert influence on the course of the postoperative period and the formation

The first vector (“surgical”) includes the main factors that characterize the severity of the surgical intervention, and which have the greatest impact on the course of the postoperative period. The quantification of this vector is based on the following indicators: the duration, body temperature and blood pressure during surgery.

The second vector (“neurological”) takes into account the main ischemic and neurological complications in the postoperative period: cerebral infarction, postoperative encephalopathy, and postoperative cognitive dysfunction. The quantitative assessment of this vector is based on the results of the study of the patient’s cognitive function in the early postoperative period, namely, the indicators of the TMT-A and TMT-B tests, and the Stroop test.

The third vector (“psychopathological”) includes three main psychopathological disorders: depression, anxiety, and aggressiveness, and its quantification is based on the integral indicators of depression and anxiety according to the depression and anxiety scales of M. Hamilton and indicators of aggressiveness and hostility according to the Bass-Darkie test.

The proposed model makes it possible to obtain informative predictive indicators of PSM, which are close to the values obtained by the diagnostic method of socio-psychological adaptation C. Rogers & R. F. Dymond in the modification of A. K. Osnytsky.