Electrocardiographic predictors of in-hospital outcomes of acute coronary syndrome

Aim. To estimate the time course of changes in basic electrocardiographic (ECG) parameters in patients with acute coronary syndrome (ACS) as possible predictors of in-hospital outcomes. Materials and methods. The data of 277 patients with acute coronary syndrome (ACS) were used; QT-interval duration was studied by means of an EC12C-01 cardioanalyzer; ST-segment deviation (Sigma ST), elevation (Sigma ST-E), and depression (Sigma ST-D) sums, and corrected QT-interval dispersion (DQTc) were calculated. Results. There were highly significant differences of Sigma ST in all the patients groups at admission and differences of DQTc in ACS patients with and without ST-segment elevation. The survival rates were significantly different depending on the value of ECG parameters, such as Sigma ST, Sigma ST-D, and DQTc. Conclusion. The cardioanalyzer can automatically improve the estimation of in-hospital ECG changes and to determine predictors of an ACS outcome.