Coronary heart disease index based on longitudinal electrocardiography

Area of Science:

• Cardiology
• Preventive Medicine
• Biomedical Engineering

Background:

• Coronary heart disease (CHD) poses a significant health risk, even in asymptomatic populations.
• Existing diagnostic methods may have limitations in detecting early-stage CHD in working professionals.
• Longitudinal electrocardiogram (LCG) tracings offer a potential avenue for non-invasive cardiac health monitoring.

Purpose of the Study:

• To develop and validate a novel Coronary Heart Disease (CHD) index using longitudinal ECG (LCG) data.
• To assess the index's efficacy as a cardiac health measure in asymptomatic working populations.
• To compare the diagnostic validity of the CHD index against conventional CHD detection methods.

Main Methods:

• A composite CHD index was created from the presence and weighted values of LCG aberrations.
• The index was validated against comprehensive physical examinations, including treadmill tests, resting ECGs, and risk factor analysis.
• A stratified-random sample of 111 subjects was analyzed from a larger cohort of 5000 case histories.

Main Results:

• The developed CHD index demonstrated significant validity as a sole indicator of CHD.
• The index significantly outperformed LCG analysis without the composite scoring.
• The CHD index consistently yielded higher validity coefficients for CHD identification compared to treadmill testing, resting ECG, and risk factor analysis.

Conclusions:

• The novel CHD index derived from LCG tracings is a highly effective tool for identifying coronary heart disease.
• This index offers superior diagnostic accuracy for CHD compared to traditional methods in asymptomatic populations.
• The CHD index represents a valuable advancement in cardiac health assessment for occupational health studies.