Background
Chronic heart failure (CHF) has been remained a leading cause of cardiovascular morbidity and mortaluty. The risk stratification of CHF individuals based on clinical criteria and biomarkers' models may improve medical care and probably increase efficacy of treatment strategy. However, various predictive models approved for CHF patients appear to be distinguished in their prognostications. The study
Conclusion
Biomarker risk score for cumulative cardiovascular events, constructed by measurement of circulating NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31+/annexin V+ EMPs and CD31(+)/annexin V(+) EMPs to CD14(+)CD309(+) MPCs ratio, allowing reliably predict the probability survival of patients with CHF.
Methods
It was studied prospectively the incidence of fatal and non-fatal cardiovascular events in a cohort of 388 patients with ischemic-induced CHF within 3 years. Circulating biomarkers were collected at baseline of the study.
Results
Independent predictors of clinical outcomes in patients with CHF were NT-pro-BNP, galectin-3, hs-CRP, osteoprotegerin, CD31(+)/annexin V(+) endothelail-derived microparticles (EMPs) and CD31(+)/annexin V(+) EMPs to CD14(+)CD309(+) monuclear progenitor cells (MPCs) ratio. Index of cardiovascular risk was calculated by mathematical summation of all ranks of independent predictors, which occurred in the patients included in the study. Kaplan-Meier analysis showed that patients with CHF and the magnitude of the risk of less than 4 units have an advantage in survival when compared with patients for whom obtained higher values of cardiovascular risk score ranks.