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[Diagnostic and prognostic value of quantitative indicators of 12 ECG leads in ischemic heart disease]
Insights
Electrocardiogram (ECG) measurements, including sigma R and ST segment changes during stress tests, help assess chronic coronary heart disease severity and infarction risk. These ECG findings provide a comprehensive characterization of cardiac function and ischemia.
Area of Science:
- Cardiology
- Diagnostic Imaging
Background:
- Chronic coronary heart disease (CCHD) poses significant health risks.
- Accurate assessment of cardiac function and ischemia is crucial for patient management.
Purpose of the Study:
- To evaluate the utility of sigma R and nST measurements in standard ECG leads during stress tests for characterizing CCHD.
- To correlate ECG findings with clinical manifestations, myocardial contractility, hemodynamics, and lactate extraction.
Main Methods:
- The study involved 35 CCHD patients and 20 controls with neurocirculatory dystonia.
- Electrocardiogram (ECG) measurements, including sigma R and nST, were recorded at rest and during atrial pacing.
- Analysis focused on differentiating CCHD patient groups based on clinical and functional parameters.
Main Results:
- Sigma R detection in standard ECG leads differentiated CCHD patient groups with varying clinical presentations.
- ECG parameters correlated with myocardial contractility, hemodynamics, and myocardial lactate extraction.
- Higher sigma R combined with ST segment depression indicated increased sensitivity and specificity in stress tests.
Conclusions:
- ECG measurements (sigma R and nST) during loading tests offer a comprehensive characterization of pump function and myocardial ischemia severity in CCHD.
- These ECG parameters aid in prognosis and risk assessment for myocardial infarction.
- Integrating sigma R and ST depression enhances the diagnostic accuracy of stress tests for CCHD.
Abstract:
The study was undertaken to examine 35 patients with chronic coronary heart disease and 20 patients with neurocirculatory dystonia concurrent with the cardialgic syndrome, the latter were enrolled into a control group. Detection of sigma R in the standard leads of resting ECG and at the peak of atrial pacing made it possible to single out groups of chronic coronary heart disease patients, which differed in clinical manifestations of the disease, myocardial contractility, hemodynamics, and myocardial lactate extraction. In patients with chronic coronary heart disease ti is recommended to use ECG measurements (sigma R and nST) in the standard leads during loading tests to give a comprehensive characterization of the pump function and the severity of myocardial ischemia, the prognosis of the natural history of the disease and risk for myocardial infarction. To enhance the sensitivity and specificity of loading tests, it is recommended to take into account higher sigma R in combination with ST segment depression when the results of the tests are assessed.