INFLUENCE OF ANDROGEN STATUS ON THE RISK OF HOSPITALIZATION FOR CARDIOVASCULAR DISEASES IN MEN WITH CORONARY HEART DISEASE

Abstract

Aim – to create a mathematical model for predicting the risk of hospitalizations within 6 months in men with coronary artery disease (CAD), taking into account androgen status and other clinical and laboratory parameters.Materials and methods. 102 men aged 45-65 with a diagnosis of coronary artery disease were included in the study. Key predictors were identified using ROC analysis, including testosterone level, age, cholesterol, systolic blood pressure, and heart rate. These parameters were integrated into a logistic regression equation to formulate a predictive model for the risk of hospitalization during the next 6 months. The results. The logistic regression model demonstrated reliable predictive capabilities with an area under the ROC curve of 0.790, p<0.05. The coefficients of individual parameters revealed a significant contribution to the overall forecasting accuracy. The obtained formula allows us to estimate the probability of hospitalization during the next six months for men with coronary artery disease.Conclusions: This study created a predictive model for the risk of hospitalization in men with CAD, providing clinicians with a tool for risk assessment and management. Taking androgen status into account along with traditional cardiovascular risk factors increases the accuracy of the received prognosis. The obtained results emphasize the potential of personalized medicine in optimizing patient care. Prospects for further research: Future research should focus on external validation of the developed model in different populations and the study of additional factors that may improve risk prediction. In addition, the study of dynamic changes in the predicted parameters over time can improve the temporal accuracy of the model.