Exercise and pharmacologic stress-induced interlead T-wave heterogeneity analysis to detect clinically significant

Anderson C Silva1, Victor Z de Antonio1, Jakub Sroubek2

  • 1Beth Israel Deaconess Medical Center, Department of Medicine, Division of Cardiovascular Medicine, Boston, MA, United States of America; Harvard School of Public Health, Department of Environmental Sciences, Boston, MA, United States of America; Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.

Insights

Measuring T-wave heterogeneity (TWH) during exercise tolerance testing (ETT) or dipyridamole stress tests significantly improves the detection of coronary artery stenosis. This novel method enhances diagnostic accuracy for flow-limiting blockages in major coronary arteries.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Biomedical Engineering

Background:

  • Myocardial perfusion imaging (MPI) and exercise tolerance testing (ETT) are widely used for detecting coronary artery disease.
  • There is an ongoing need to enhance the diagnostic accuracy of these noninvasive methods.
  • Interlead T-wave heterogeneity (TWH) is an underutilized electrocardiographic parameter.

Purpose of the Study:

  • To investigate if measuring T-wave heterogeneity (TWH) during stress testing improves the detection of significant coronary artery stenoses.
  • To compare the diagnostic utility of TWH with traditional markers like ST-segment changes and MPI.

Main Methods:

  • 137 patients undergoing coronary angiography after ETT or dipyridamole stress testing were analyzed.
  • TWH was measured using second central moment analysis from precordial leads by a blinded investigator.
  • Patients were categorized into cases (significant stenosis) and controls (no significant stenosis).

Main Results:

  • TWH increased significantly during ETT (69%) and dipyridamole stress (27%) in patients with stenosis, but not in controls.
  • TWH increase showed high diagnostic accuracy (AUC 0.737 for ETT, 0.818 for dipyridamole).
  • ST-segment changes and MPI did not effectively discriminate between cases and controls.

Conclusions:

  • T-wave heterogeneity measurement is a novel and effective method for detecting coronary artery stenosis.
  • TWH improves the diagnostic accuracy of both exercise and pharmacologic stress testing for identifying flow-limiting coronary artery disease.
  • This technique offers a valuable addition to current noninvasive diagnostic tools for coronary artery disease.
Abstract

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