FIELD: medicine.
SUBSTANCE: invention can be used to predict the development of massive coronary thrombosis of an infarction-responsible coronary artery in ST-segment elevation myocardial infarction. Clinical, biochemical blood tests are carried out, and coagulogram and angiography data obtained and predictors of the development of massive coronary thrombosis identified. As predictors, the platelet level, prothrombin ratio (PR), activated partial thromboplastin time (APTT), total bilirubin level in blood serum, and the presence of an infarction-responsible lesion in the middle third of the right coronary artery (IOCA-avg/3 RCA) are assessed. The data obtained are entered into the prognostic mathematical model: p=1/(1+e -z ), z=-2.5-0.003⋅ Xthrom +0.073⋅ХPR +0.033⋅XAPTT +3.1⋅XIOCA-RCA +0.097⋅Xbil_total, where p is the probability of developing massive coronary thrombosis (in decimals); Xthromb - platelet count, 10 9/l; ХPR - prothrombin ratio; XAPTT - activated partial thromboplastin time, s; XIOCA-RC - IOCA-avg/3 RCA, 0 - absent, 1 - present; Xbil_total - total serum bilirubin, µmol/l. A p value of 0.375 or higher predicts a high risk of massive coronary thrombosis. A p value less than 0.375 r predicts a low risk of massive coronary thrombosis.
EFFECT: method provides the option to increase the accuracy and reliability of predicting the development of massive coronary thrombosis of an infarction-responsible coronary artery in ST-segment elevation myocardial infarction by identifying objective predictors of this process that are accessible for analysis.
1 cl, 1 dwg, 2 tbl, 3 ex
Authors
Dates
2023-03-21—Published
2022-06-16—Filed