Predictive value of the electrocardiogram exercise stress test for the presence or absence of left main disease

Saverio Tremamunno1, Nello Cambise1, Angelo Giuseppe Marino1,2

  • 1Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy.

PubMed

Insights

The electrocardiogram exercise stress test (ECG-EST) can effectively rule out left main (LM) coronary artery disease (CAD) in patients with suspected obstructive CAD. Specific ECG-EST criteria identify patients at very low risk, reducing the need for invasive procedures.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Clinical Medicine

Background:

  • The diagnostic utility of the electrocardiogram exercise stress test (ECG-EST) for excluding left main (LM) coronary artery disease (CAD) remains underexplored.
  • LM CAD, a severe form of coronary artery disease, requires accurate and timely diagnosis.

Purpose of the Study:

  • To evaluate the capability of ECG-EST in excluding LM CAD in patients presenting with angina and suspected obstructive CAD.
  • To identify specific ECG-EST variables that predict the absence or presence of LM disease.

Main Methods:

  • Retrospective analysis of 515 patients who underwent both ECG-EST and invasive coronary angiography (ICA) for suspected obstructive CAD.
  • Assessment of individual and combined ECG-EST variables for their predictive value regarding LM disease (stenosis ≥50%).

Main Results:

  • LM CAD was diagnosed in 5% of patients via ICA.
  • ECG-EST showed low positive predictive values for LM CAD, with a maximum of 15% for a specific combination of ST-segment depression and test duration.
  • Certain combined ECG-EST variables demonstrated very high negative predictive values, identifying patients at very low risk (≤2.5%) of LM disease.

Conclusions:

  • ECG-EST can reliably identify patients with angina and suspected obstructive CAD who are at very low risk for LM disease.
  • Specific ECG-EST findings, such as peak heart rate and ST-segment depression patterns, are crucial for risk stratification.
Abstract

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