Prognostic significance of ST-segment depression during adenosine perfusion imaging

E S Marshall1, J S Raichlen, S M Kim

  • 1Division of Cardiology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA.

Insights

ST-segment depression during adenosine perfusion imaging, especially greater than or equal to 2 mm, significantly predicts future cardiac events. This finding adds valuable prognostic information beyond traditional clinical assessments and imaging results.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Clinical Prediction

Background:

  • Adenosine perfusion imaging is a key diagnostic tool for assessing myocardial perfusion.
  • ST-segment depression during adenosine stress testing can indicate myocardial ischemia.
  • The prognostic significance of ST-segment depression during adenosine perfusion imaging requires further elucidation.

Purpose of the Study:

  • To evaluate the predictive value of ST-segment depression during adenosine perfusion imaging for future cardiac events.
  • To determine if ST-segment depression provides additional prognostic information beyond established clinical and imaging markers.

Main Methods:

  • Retrospective analysis of 188 patients with interpretable electrocardiograms post-adenosine testing.
  • Assessment of ST-segment depression (≥1 mm and ≥2 mm) during adenosine infusion.
  • Follow-up for cardiac events including cardiac death, myocardial infarction, unstable angina, and revascularization.

Main Results:

  • ST-segment depression (≥1 mm) occurred in 17% of patients; ≥2 mm in 5.3%.
  • Multivariate analysis identified ≥2 mm ST-segment depression as the strongest independent predictor of cardiac events (RR=6.5, p=0.0001).
  • Other independent predictors included left ventricular dilation, prior coronary angioplasty, prior non-Q-wave myocardial infarction, and reversible perfusion defects.

Conclusions:

  • ST-segment depression during adenosine infusion is uncommon but clinically significant.
  • ≥2 mm ST-segment depression is a powerful independent predictor of future cardiac events.
  • This finding enhances risk stratification beyond clinical variables and perfusion imaging results.