Incremental Prognostic Power of Coronary Flow Reserve and Artificial Intelligence-Enabled ECG-Derived Filling

Parvin Kalhor1, Matteo Manzato1, Elias Hellou1

  • 1Department of Cardiovascular Medicine Mayo Clinic Rochester MN.

Insights

Coronary microvascular dysfunction and elevated filling pressure are linked to adverse events in angina patients. Combining these markers improves risk prediction for major cardiovascular events.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Biomedical Engineering

Background:

  • Coronary flow reserve assesses microvascular function, while filling pressure indicates myocardial hemodynamic burden.
  • In angina with nonobstructive coronary arteries (ANOCA), either abnormality can cause supply-demand mismatch, but their combined prognostic impact is unknown.

Purpose of the Study:

  • To investigate the combined prognostic significance of coronary microvascular dysfunction (CMD) and elevated filling pressure, assessed by an AI-enabled ECG marker (AIEFP), in patients with ANOCA.

Main Methods:

  • Retrospective study of 1957 ANOCA patients undergoing invasive coronary reactivity testing.
  • CMD defined as coronary flow reserve <2.5; AIEFP identified elevated filling pressure.
  • Cox regression and propensity score overlap weighting analyzed associations with major adverse cardiovascular events (MACE).

Main Results:

  • CMD identified in 26.4%, AIEFP in 6.6%; 10.4% experienced MACE over 8 years.
  • Both CMD (HR=1.42) and AIEFP (HR=2.28) were independently associated with MACE.
  • AIEFP improved model fitness and discrimination; risk increased gradedly across four groups (CMD-/AIEFP-, CMD+/AIEFP-, CMD-/AIEFP+, CMD+/AIEFP+).

Conclusions:

  • CMD and AIEFP offer complementary prognostic information in ANOCA.
  • AIEFP remains significantly associated with outcomes after adjustment.
  • A dual-axis framework integrating hemodynamic stress and microvascular function enhances risk stratification for distinct ANOCA phenotypes.
Abstract