Clinical significance of the hemodynamic gain index in patients undergoing exercise stress testing and coronary

Mohamad Jihad Mansour1,2, Elie Chammas1, Michael Winkler3

  • 1Division of Cardiovascular Medicine, Clemenceau Medical Center Affiliated with Johns Hopkins International, PO Box 11-2555, Beirut, Lebanon.

Insights

Severely blunted Hemodynamic Gain Index (HGI) independently predicts obstructive coronary artery disease (CAD) in patients undergoing exercise stress testing and coronary computed tomography angiography (CCTA). This finding aids in diagnosing CAD, especially with suboptimal exercise.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Medical Technology

Background:

  • Obstructive coronary artery disease (CAD) diagnosis during exercise stress testing can be limited by suboptimal exercise.
  • Hemodynamic Gain Index (HGI) is a sensitive indicator of ischemia and mortality.
  • Evaluating HGI's clinical impact alongside coronary computed tomography angiography (CCTA) is crucial.

Purpose of the Study:

  • To assess the clinical significance of HGI in patients undergoing both exercise stress testing and CCTA.
  • To determine if HGI can independently predict obstructive CAD.
  • To explore the utility of HGI in conjunction with advanced analytical methods.

Main Methods:

  • Retrospective analysis of 284 patients from an executive health program (2010-2018).
  • Calculation of HGI, Framingham Risk Score (FRS), and Duke treadmill score (DTS).
  • Utilized multivariate analysis and artificial neural networks with CCTA as the reference standard.

Main Results:

  • Severely blunted HGI (≤1.25) was associated with older age, higher FRS, and worse DTS.
  • Patients with obstructive CAD had significantly lower HGI compared to those without.
  • Severely blunted HGI independently predicted obstructive CAD, showing a threefold increased odds (P=0.05).

Conclusions:

  • Severely blunted HGI is an independent predictor of obstructive CAD in patients who underwent exercise stress testing and CCTA.
  • HGI provides valuable prognostic information beyond traditional risk factors.
  • Artificial intelligence models demonstrated HGI's strong predictive capability for obstructive CAD.
Abstract

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