Coronary Endothelial Dysfunction Is Associated With Major Depressive Disorder in Men With Chest Pain and

Jaskanwal D S Sara1, Scott Breitinger2, Nazanin Rajai1

  • 1Department of Cardiovascular Medicine Mayo College of Medicine Rochester MN.

Insights

Coronary endothelial dysfunction (CED) is linked to major depressive disorder (MDD). Macrovascular CED is a significant predictor of incident MDD in men with nonobstructive coronary artery disease, suggesting CED may identify at-risk individuals.

Area of Science:

  • Cardiology
  • Psychiatry
  • Vascular Biology

Background:

  • Endothelial dysfunction is associated with major depressive disorder (MDD).
  • The relationship between coronary endothelial dysfunction (CED) and incident MDD, particularly across sexes, remains unclear.

Purpose of the Study:

  • To investigate the association between macrovascular and microvascular coronary endothelial dysfunction (CED) and the incidence of major depressive disorder (MDD) in patients with nonobstructive coronary artery disease.
  • To examine potential sex differences in this association.

Main Methods:

  • Invasive assessment of CED in patients with coronary artery disease (stenosis <40%).
  • Macrovascular CED defined by coronary diameter change (≤-10%) and microvascular CED by coronary blood flow change (≤-50%) post-acetylcholine.
  • Logistic regression analysis to determine the association between baseline CED and incident MDD during follow-up.

Main Results:

  • Macrovascular CED was significantly associated with incident MDD in men (OR: 2.99; P=0.015).
  • Men with macrovascular CED had a higher incidence of MDD (59% vs. 38%; P=0.035).
  • The association between CED and MDD was observed across all patients (P=0.008) and specifically in men (P=0.001).

Conclusions:

  • Macrovascular coronary endothelial dysfunction is a significant predictor of incident major depressive disorder in men with nonobstructive coronary artery disease.
  • Coronary endothelial dysfunction may serve as a valuable biomarker for identifying individuals at risk for developing MDD.
Abstract

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