Multimarker approach for assessing efficiency of cardiac resynchronization therapy in patients with sinus rhythm

Purpose. To design a mathematical model, that can predict a positive response to cardiac resynchronization therapy (CRT) in patients with congestive heart failure (CHF) and sinus rhythm, according to complex analysis of neurohumoral and immune activation biomarkers, fibrosis, renal dysfunction, echocardiography. Methods. Parameters of echocardiography, plasma levels of NT-proBNP, interleukins-1β, 6, 10, tumor necrosis factor α, С-reactive protein (СRP), matrix metalloproteinase-9 (ММР-9), tissue inhibitors of metalloproteinase 1 and 4, cystatin С (CYSTATIN) were studied in 40 CHF patients with sinus rhythm (65% coronary artery disease patients, 75% males, mean age 54.8±10.6 years old) during the period of maximum decrease of left ventricular end-systolic volume (LVESV) (mean duration 27.5 [11.1; 46.3] months). Responders (decrease in LVESV ≥15%) and non-responders (decrease in LVESV <15%) were identified. Results. The number of responders was 26 (65%). The initial set of variables included: age, left ventricular ejection fraction (EF), pulmonary artery systolic pressure, right ventricle size and NT-proBNP, СRP, ММР-9, CYSTATIN. According to logistic regression analysis, a prediction model of positive CRT response was created. The specificity of the model was 92.9%, sensitivity - 83.3%, AUC=0.952 (р˂0.001). Conclusion. The proposed model, based on the assessment of left ventricle EF and circulating biomarkers of inflammation, fibrosis, and renal function, strongly suggests a higher possibility of response to CRT.