FIELD: medicine.
SUBSTANCE: prediction of clinical course and outcome of acute coronary syndrome is ensured by electrocardiography in twelve derivations (I-V6): total ST segment deviation, total ST segment elevation, total ST segment depression, corrected QT interval dispersion considering heart rate and calculated by Bazett's formula, extent of myocardial involvement calculated by standard electrocardiogram and additional derivations according to Slopack (S1-S4) and Neb (D, A, I). Specified parametres are used for modelling to predict clinical course and outcome of ACS by the discriminant analysis with consequent variable selection; as a result, the model covers the degree of left ventricular failure, extent of myocardial involvement, corrected DQTc interval dispersion, heart rate, age of a patient, the total ST segment depression, total ST segment deviation. Then a classification function for the ACS patients with unfavourable, doubtful and favourable outcome is determined; the derived factors are substituted in the discriminant analysis formula to calculate R1-R3 group discriminators.
EFFECT: method allows improving accuracy of prediction of clinical course and outcome of ACS, preventing complications, reducing length of cardiac emergency department stay.
3 ex, 3 dwg, 7 tbl
