Electrical Risk Score as a Predictor of Coronary Artery Disease.

Area of Science:

• Cardiology
• Medical Diagnostics
• Electrocardiography

Background:

• Coronary artery disease (CAD) is a major global cause of death.
• Effective risk stratification is crucial for managing CAD patients.
• The Electrical Risk Score (ERS) uses electrocardiogram (ECG) data but its link to CAD presence and severity needs clarification.

Purpose of the Study:

• To investigate the association between the Electrical Risk Score (ERS) and the presence and extent of CAD.
• To determine if ERS can serve as a non-invasive marker for CAD detection.

Main Methods:

• Retrospective analysis of 314 patients undergoing coronary angiography.
• Calculation of ERS based on six ECG parameters.
• Multivariate logistic regression analysis to assess independent associations.

Main Results:

• Mean ERS was significantly higher in patients with CAD compared to controls (p=0.006).
• Delayed QRS transition, prolonged QTc, and extended T peak-T end intervals were more common in the CAD group.
• ERS was independently associated with the presence of CAD (p<0.05).

Conclusions:

• The Electrical Risk Score (ERS) is significantly associated with CAD presence and severity.
• Elevated ERS, driven by specific ECG parameters, may aid in early CAD prediction and identification.
• ERS offers a potential non-invasive tool for risk stratification in stable patients.