Digital assessment of endothelial function and ischemic heart disease in women

Yasushi Matsuzawa1, Seigo Sugiyama, Koichi Sugamura

  • 1Department of Cardiovascular Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

Insights

Digital reactive hyperemia peripheral arterial tonometry (RH-PAT) effectively predicts ischemic heart disease (IHD) in women, including nonobstructive coronary artery disease (NOCAD). This noninvasive method identifies high-risk patients before invasive procedures.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Diagnostic Imaging

Background:

  • Ischemic heart disease (IHD) is a leading cause of mortality in women, with diverse underlying pathologies.
  • Endothelial dysfunction is a key factor in IHD pathogenesis.
  • Digital reactive hyperemia peripheral arterial tonometry (RH-PAT) offers a noninvasive, automated method for assessing endothelial function.

Purpose of the Study:

  • To evaluate the effectiveness of digital RH-PAT in predicting IHD, encompassing both obstructive coronary artery disease (CAD) and nonobstructive coronary artery disease (NOCAD), specifically in female patients.
  • To determine if RH-PAT can identify women at high risk for IHD prior to definitive diagnostic procedures.

Main Methods:

  • RH-PAT measurements were taken using the Endo-PAT2000 device in 140 women undergoing cardiac catheterization for chest pain evaluation.
  • Nonobstructive coronary artery disease (NOCAD) was diagnosed using angiography, coronary blood flow measurements, and provocation tests, alongside cardiac scintigraphy and stress tests.
  • Statistical analyses included multivariate logistic regression and receiver-operating characteristic (ROC) analysis to assess predictive capabilities.

Main Results:

  • A significant reduction in RH-PAT indexes was observed in women with obstructive CAD and NOCAD compared to those without IHD (p < 0.001).
  • The RH-PAT index was the sole significant predictor of IHD (obstructive CAD and NOCAD) in multivariate analysis (OR 0.51, p < 0.001).
  • RH-PAT demonstrated strong predictive power for IHD (AUC 0.86) and was particularly effective in predicting NOCAD (AUC 0.85), with an index <1.82 showing 81% sensitivity and 80% specificity.

Conclusions:

  • Digital RH-PAT measurements are significantly attenuated in women with IHD.
  • RH-PAT serves as a valuable noninvasive tool for predicting IHD, especially NOCAD, in women before undergoing angiography.
  • This technology holds potential for identifying women at elevated risk for IHD, facilitating earlier intervention.
Abstract

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