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The value of aortic pulse wave velocity in predicting coronary artery disease diagnosis and severity

Omer Ozkan Duman, Ozhan Goldeli, Erdal Gursul

    Acta Cardiologica
    |August 1, 2015
    PubMed

    Insights

    Aortic pulse wave velocity (AoPWV) effectively predicts coronary artery disease (CAD) and its severity. This non-invasive method shows high accuracy, making it valuable for diagnosing and assessing cardiovascular risk.

    Area of Science:

    • Cardiovascular Medicine
    • Diagnostic Imaging
    • Biomedical Engineering

    Background:

    • Arterial stiffness, measured by aortic pulse wave velocity (AoPWV), is a known predictor of cardiovascular diseases.
    • Non-invasive techniques are crucial for assessing coronary artery disease (CAD) prognosis.

    Purpose of the Study:

    • To investigate the correlation between AoPWV and the presence and severity of CAD.
    • To evaluate AoPWV as a non-invasive diagnostic tool for CAD.

    Main Methods:

    • 103 patients with suspected CAD underwent coronary angiography (CAG).
    • AoPWV was measured using a tonometry device prior to CAG.
    • The Gensini score was used to quantify CAD severity in diagnosed patients.

    Main Results:

    • CAD was confirmed in 49% of patients (59 out of 103).
    • Patients with CAD exhibited significantly higher AoPWV (8.6 m/s) compared to those without (5.0 m/s) (P < 0.001).
    • A strong positive correlation (r=0.838) was found between AoPWV and CAD severity. An AoPWV cutoff of 7.3 m/s showed 83.1% sensitivity and 86.4% specificity for CAD diagnosis.

    Conclusions:

    • AoPWV is a valuable non-invasive parameter for assessing CAD.
    • The low-cost, simple tonometry-based AoPWV measurement is suitable for policlinic settings.
    • AoPWV demonstrates potential as an accurate and accessible tool for CAD prognosis.
    Abstract

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