Abstract
The asymptomatic progression of chemotherapy-induced cardiotoxicity poses a significant risk to breast cancer patients. In the present single-center cohort study, a predictive model for evaluating the risk of cardiotoxicity during or by the end of chemotherapy was designed. The risk-prediction nomogram was delineated and assessed. In total, 34 patients out of 120 developed asymptomatic cardiotoxicity (28.3%). Of six explored biomarkers, only B-type natriuretic peptide showed a reliable pattern of incremental increase, revealing statistical significance between cardiotoxicity “+” and “−” groups by visit 4 or by the 9th month of monitoring (p 0.006). The following predictors were included in the model: age, hypertension, diabetes mellitus, baseline glomerular filtration rate, 6 min walk test measured at visit 4, BNP values at visit 4, left ventricular ejection fraction levels at visit 4, a total dose of radiotherapy received, and anthracycline cumulative doses. The model’s AUC was 0.72 (95% CI 0.59; 0.86), evidencing the satisfactory predictive ability of the model; sensitivity 100% (95% CI 90.36; 100.0) at a specificity of 66.67% (95% CI 50.33; 79.79); PPV 54.1% [95% CI 47.13; 60.91]; PVN 100% [95% CI 94.64; 100.00]. The calibration plot showed satisfactory agreement between predicted and actual chances (p = 0.98). The designed model can be applied in settings lacking speckle tracking echocardiography.