Optimal Use of Vasodilators for Diagnosis of Microvascular Angina in the Cardiac Catheterization Laboratory

Haseeb Rahman1, Ozan M Demir1, Matthew Ryan1

  • 1School of Cardiovascular Medicine and Sciences, British Heart Foundation Centre of Excellence and National Institute for Health Research Biomedical Research Centre (H.R., O.M.D., M.R., H.M., H.E., A.W., D.P.), King's College London, United Kingdom.

Insights

Patients with angina and nonobstructive coronary artery disease benefit from assessing coronary microvascular dysfunction. Optimal thresholds for adenosine and acetylcholine flow reserve identify ischemia, guiding diagnosis and treatment for better outcomes.

Area of Science:

  • Cardiology
  • Vascular Medicine
  • Diagnostic Imaging

Background:

  • Coronary microvascular dysfunction (CMD) in patients with angina and nonobstructive coronary artery disease (CAD) is linked to poor prognosis.
  • Current diagnostic methods for CMD, primarily using endothelium-independent vasodilators like adenosine, lack clear optimal thresholds.
  • The added value of assessing endothelial function in conjunction with flow reserve has not been previously evaluated.

Purpose of the Study:

  • To determine pharmacological thresholds for coronary flow reserve (CFR) and acetylcholine flow reserve (AchFR) that correlate with exercise-induced pathophysiology and myocardial ischemia.
  • To establish the diagnostic accuracy of these thresholds in patients with angina and nonobstructive CAD.

Main Methods:

  • Simultaneous coronary pressure and flow measurements during rest, exercise, and pharmacologic vasodilation (adenosine, acetylcholine) were performed.
  • Coronary flow reserve (CFR, AchFR) calculated as vasodilator/resting flow.
  • Coronary wave intensity analysis assessed exercise response; ischemia evaluated using 3-Tesla stress perfusion MRI.

Main Results:

  • Optimal thresholds for CFR and AchFR identifying exercise pathophysiology and ischemia were 2.6 and 1.5, respectively.
  • These thresholds demonstrated high positive (91%) and negative (86%) predictive values.
  • Abnormal CFR was present in 58% of patients, with 96% also having abnormal AchFR; however, 53% of those with normal CFR had abnormal AchFR, correlating with higher ischemia rates.

Conclusions:

  • Established optimal diagnostic thresholds for CFR (2.6) and AchFR (1.5) provide high predictive accuracy for ischemia in nonobstructive CAD.
  • A normal CFR warrants further assessment with AchFR, suggesting a stepwise approach.
  • Integrating both CFR and AchFR measurements offers a robust algorithm for identifying ischemic causes in this patient population.
Abstract

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