RISK SCORE MODEL FOR PREDICTING CARDIOTOXICITY IN BREAST CANCER: DIAGNOSTIC VALUE OF HIGH-SENSITIVITY CARDIAC TROPONIN T.

Cardiovascular diseases are the second leading cause of death among breast cancer (BC) patients. Prediction of cardiovascular toxicity (CT) is an important part of the successful treatment and survival of patients. OBJECTIVE:to develop a risk score model for cardiovascular toxicity (CT) predicting, based on cardiovascular risk factors (RFs), RFs associated with cancer therapy, and troponin levels. MATERIAL AND METHODS:The study included 76 BC patients with a prospective analysis of their clinical and treatment data, RFs, echocardiographic indicators before the start of treatment and after 6 months, and an increase in troponin level. Among all RFs, the most significant RFs of CT were: radiation therapy, treatment with anthracyclines, and cardiovascular diseases. Based on the obtained results, a combined CT risk score was developed and proposed.According to the sum of points, patients were divided into groups: group 1 - with a low risk of CT development, the sum of points < 5; group 2 - moderate risk, 6-7 points; group 3 - high risk, > 8 points. RESULTS:In a pilot prospective study, an analysis of the RFs of CT was provided, compared to echocardiography data and the degree of troponin increase in dynamic observation; the risk score model for the CT prediction was developed for BC patients stratification. According to the developed score, BC patients with a total of > 8 points are considered to have a high risk of CT complications. CONCLUSIONS:The use of the proposed risk model score with calculation of the RFs of CT along with high-sensitivity troponin increase during cancer treatment allows predicting the risk of CT developing at the early stages - before the onset of clinical manifestations. Accordingly, these BC patients have a high risk of CT, and the use of personalized cardiac monitoring together with cardioprotective therapy can prevent cardiovascular complications.