FIELD: medicine.
SUBSTANCE: invention refers to medicine, namely to clinical cardiology. Patient is diagnosed with acute coronary syndrome (ACS), having suffered primary percutaneous coronary intervention (PCI) during hospitalization, the main predictors of thrombosis in a coronary stent: acute heart failure (AHF) by classification Killip>II class; life-threatening paroxysmal tachyarrhythmias (atrial fibrillation and/or ventricular fibrillation) as a complication ACS; left ventricular ejection fraction ≤45 %; coronary artery dissection, confirmed angiographically; postural coronary artery thrombosis according to Grade classification, confirmed angiographically. Obtained results of examination are substituted into mathematical model of prediction of risk of developing thrombosis of stent. Based on the obtained value of the integral Y value, the risk of developing stent thrombosis for the patient under study is assessed by the developed formula. If the value Y≤2.4518 shows a high risk of developing stent thrombosis after PCI for 12 months in patients ACS. If Y>2.4518, the risk of stent thrombosis is low.
EFFECT: method enables comprehensive assessment of the risk of developing stent thrombosis in the patients with ACS after PCI by set of indicators, as well as higher accuracy of predicted event, personify secondary prevention in the first year after ACS, which will contribute to reducing cardiovascular mortality, recurrence rate of myocardial infarction, unstable angina and emergency repeated revascularization in this category of patients.
1 cl, 1 dwg, 4 ex, 1 tbl
