The additive prognostic value of coronary flow velocity reserve during exercise echocardiography

Angela Zagatina1, Nadezhda Zhuravskaya1

  • 1Medika Cardiology Clinic, 8-2, Dundicha St., Saint Petersburg 192283, Russia.

Insights

Coronary flow velocity reserve (CFVR) and wall motion analysis during exercise stress tests provide additive prognostic value for identifying patients at risk of major adverse cardiac events in coronary artery disease (CAD).

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Preventive Medicine

Background:

  • Coronary artery disease (CAD) poses a significant risk for major adverse cardiac events (MACE).
  • Exercise echocardiography (ESE) is a key diagnostic tool for CAD.
  • Assessing prognostic markers alongside traditional methods can improve risk stratification.

Purpose of the Study:

  • To evaluate the combined prognostic significance of coronary flow velocity reserve (CFVR) and wall motion analysis during ESE.
  • To determine if CFVR adds predictive value to wall motion abnormalities in patients with known or suspected CAD.

Main Methods:

  • A prospective observational study included 689 patients undergoing supine bicycle stress echo (ESE) with Doppler assessment of left anterior descending artery (LAD) CFVR.
  • Patients were followed for a median of 36.6 months for major adverse cardiac events (MACE).
  • Multivariable analysis identified independent predictors of MACE.

Main Results:

  • ESE detected regional wall motion abnormalities in 52% of patients; mean CFVR was 1.9 ± 0.8.
  • During follow-up, 200 patients experienced MACE, including deaths, myocardial infarctions, and revascularization procedures.
  • Event-free survival was significantly different between groups with normal vs. abnormal CFVR and wall motion (99% vs. 42%, P < 0.0001).
  • Independent predictors of MACE included LAD CFVR, positive wall motion, previous PCI, male sex, and exercise heart rate.

Conclusions:

  • Exercise stress tests incorporating both wall motion criteria and CFVR are additive and complementary.
  • These combined assessments enhance the identification of patients at high risk for MACE in CAD.
  • This integrated approach improves prognostic accuracy for patients with known or suspected coronary artery disease.
Abstract