Prediction of development of erectile dysfunction and cardiovascular diseases based on the risk factors profile

Apolihin O.I., Efremov E.A., Shaderkin I.A., Zolotuhin O.V., Madykin Yu.Yu., Zelenskiy M.M., Krasnyak S.S.

Introduction. Cardiovascular diseases (CVD) are the leading cause of death worldwide. According to literature, CVDs have a very similar profile of risk factors with such a common reproductive disorder as erectile dysfunction (ED). At the same time, there are different opinions about the prevalence of ED and lower urinary tract symptoms (LUTS) in the Russian population and their relationship to physical illnesses

Materials and methods. We present data from evaluation of 1261 men aged 40-65 years living in the Voronezh and Kaluga regions.

Results. Prevalence of ED was 51.04%. The analysis showed that the most significant risk factors are the moderate and severe LUTS, abdominal obesity and high total cholesterol level. Predictors of development of arterial hypertension were pulse frequency, severity of LUTS age and body weight. The use of predictive analytics methods (algorithm CHAID, neural network) allowed to generate an algorithm for predicting the development of cardiovascular diseases with an accuracy of 80.3%.

Conclusion. The use of predictive analytics methods allows predicting the development of CVD in patients with reproductive disorders.

Authors declare lack of the possible conflicts of interests

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erectile dysfunction, low urinary tract symptoms, cardiovascular diseases