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Usefulness of esophageal pill electrode atrial pacing with quantitative two-dimensional echocardiography for

R V Matthews1, R J Haskell, L E Ginzton

  • 1Heart Institute, Hospital of the Good Samaritan, Los Angeles, California 90017.

Insights

Esophageal pill electrode atrial pacing offers a non-exercise method for diagnosing coronary artery disease (CAD). This technique, combined with echocardiography, effectively detects CAD by analyzing changes in ejection fraction and pressure-volume ratio.

Area of Science:

  • Cardiology
  • Medical Devices
  • Diagnostic Imaging

Background:

  • Noninvasive diagnosis of coronary artery disease (CAD) is challenging in patients unable to perform exercise stress tests.
  • Traditional exercise stress tests may not be suitable for all patients.

Purpose of the Study:

  • To evaluate esophageal pill electrode atrial pacing as a non-exercise myocardial stress method for diagnosing CAD.
  • To assess the utility of quantitative 2-dimensional echocardiography in conjunction with pacing.

Main Methods:

  • Esophageal pill electrode atrial pacing was employed as a non-exercise stressor in 26 patients.
  • Changes in ejection fraction and pressure-volume ratio were quantitatively analyzed using 2-dimensional echocardiography.
  • Results were compared with treadmill exercise tests and coronary arteriography.

Main Results:

  • Successful pacing was achieved in 85% of patients, yielding comparable rate-pressure products to treadmill exercise.
  • Patients with CAD showed a significant decrease in ejection fraction (-8%) with pacing, unlike those without CAD (3%).
  • The pressure-volume ratio increased in patients without CAD (3.8 mm Hg/min/m2) but remained unchanged in those with CAD (0.3 mm Hg/min/m2).

Conclusions:

  • Esophageal pill electrode atrial pacing is a feasible and effective non-exercise method for myocardial stress.
  • This technique, coupled with echocardiography, demonstrates significant potential for noninvasive CAD detection.
  • The method shows comparable predictive accuracy to treadmill exercise testing for identifying CAD.

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