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Noninvasive detection of coronary artery disease by assessing diastolic abnormalities during low isometric exercise

J Manolas1

  • 1Diagnostic and Therapeutic Center of Athens HYGEIA, Greece.

Clinical Cardiology
|March 1, 1993
PubMed

Insights

The handgrip-apexcardiographic test (HAT) effectively detects left ventricular diastolic abnormalities. This simple stress test shows high sensitivity for diagnosing coronary artery disease (CAD) in patients with or without symptoms.

Area of Science:

  • Cardiology
  • Noninvasive diagnostic testing
  • Physiology

Background:

  • Left ventricular (LV) diastolic abnormalities can indicate cardiac issues.
  • Coronary artery disease (CAD) diagnosis often requires invasive procedures.
  • A simple, noninvasive test to aid CAD diagnosis is needed.

Purpose of the Study:

  • To evaluate the diagnostic contribution of the handgrip-apexcardiographic test (HAT) for coronary artery disease (CAD).
  • To assess HAT's sensitivity in detecting CAD using new criteria for diastolic apexcardiographic indices.

Main Methods:

  • The handgrip-apexcardiographic test (HAT) was performed on 68 patients undergoing coronary arteriography.
  • New criteria were established for a positive HAT based on diastolic apexcardiographic indices from 255 healthy volunteers.
  • Sensitivity was calculated for single, double, and triple-vessel CAD, and for patients with and without angina pectoris.

Main Results:

  • HAT demonstrated high sensitivity in detecting CAD: 95% for single-vessel, 88% for double-vessel, and 96% for triple-vessel disease.
  • The test was positive in 95% of patients without symptoms, indicating broad applicability.
  • Overall sensitivity of HAT for detecting CAD reached 93%.

Conclusions:

  • The handgrip-apexcardiographic test (HAT) is highly sensitive in identifying patients with coronary artery disease (CAD).
  • HAT effectively detects diastolic abnormalities during low-level isometric stress, aiding CAD diagnosis.
  • HAT shows potential as a simple, noninvasive tool for detecting CAD.

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