The acute coronary syndrome is an actual problem in medicine because high lethality and complicacy of diagnostic. At that, informativeness of laboratory biomarkers of blood continues to be unknown and mathematical models for prognosticating possibility of development of acute coronary syndrome are lacking. The purpose of study is to evaluate informativeness of laboratory biomarkers of blood for implementing prognostication of acute coronary syndrome without segment ST elevation. The acute coronary syndrome was analyzed in 155 patients with already established informativeness of laboratory biomarkers of blood and prognostication of the given pathology was applied using step-by-step regression analysis. To diagnose acute coronary syndrome content of troponin T, creatine kinase-MB, natriuretic peptide, lactate dehydrogenase-1 and lactate dehydrogenase-2 are to be detected in peripheral blood. The regression model developed with including in it troponin T, creatine kinase-MB, natriuretic peptide ensures with high accuracy prognostication of acute coronary syndrome.