Aim . To evaluate the contribution of polygenic risk scores to a short-term mortality prediction model in patients with dilated cardiomyopathy (DCM). M aterial and methods . The study included 137 patients with DCM. The mean age was 56,8±13,5 years; 115 (83,9%) were men. The median follow-up period was 17 [13; 22] months. During the follow-up period, 26 patients (19,0%) died. To identify predictors of short-term all-cause mortality, a classification tree model was constructed based on the chi-squared automatic interaction detection (CHAID) algorithm, supplemented by polygenic risk scores (PRS) for DCM and heart failure (HF). The model prognostic value was assessed using ROC analysis with area under the curve (AUC) calculation. R e sults . In the constructed model, the most significant predictors of short-term all-cause mortality were parenteral furosemide administration during the index hospitalization, high genetic risk according to the PGS005079 HF scale (cutoff value of 0,42), a ferritin level <101 ng/mL, and signs of systemic circulatory overload. The proportion of correctly classified cases was 81,0%, and the misclassification rate was 18,9%. According to ROC analysis, the model AUC was 0,786 (p<0,0001), sensitivity — 81,0%, and specificity — 61,4%. Conclusion . Short-term all-cause mortality prognosis in patients with dilated cardiomyopathy (DCM) is associated with the need for parenteral loop diuretics during the index hospitalization, decreased ferritin levels, a high genetic predisposition to heart failure (as assessed by the PGS005079 PGS), and signs of more severe heart failure decompensation involving the systemic circulation.