Arterial compliance adds to conventional risk factors for prediction of angiographic coronary artery disease

Am Heart J. 2003 Oct;146(4):662-7. doi: 10.1016/S0002-8703(03)00254-0.

Abstract

Background: Arterial compliance is related to left ventricular hypertrophy and risk for cardiovascular disease events; however, its association with coronary artery stenosis remains uncertain. We sought to assess the relation between lower extremity arterial compliance and presence of angiographically defined coronary artery disease.

Methods: Lower extremity arterial compliance was measured with the use of a noninvasive air plethysmography technique in 376 subjects undergoing routine diagnostic coronary angiography.

Results: Measures of calf arterial compliance were significantly associated with the presence of one or more stenoses > or =50% compared with no stenoses, even after adjustment for age, sex, smoking, diabetes, hypertension, hypercholesterolemia, and obesity (P =.03). Measures of thigh arterial compliance were also lower in subjects with disease, although this association did not reach statistical significance (P =.07). Receiver operator curves illustrate the incremental predictive ability of calf arterial compliance over and above age, sex, and conventional risk factors.

Conclusions: Lower extremity arterial compliance is associated with presence of significant coronary stenoses in a cardiac catheterization laboratory referral population. This observation lends support for additional efforts to determine the utility of vascular stiffness measures in both clinical and pre-clinical populations to guide treatment and prevention efforts.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Arteries / physiopathology
  • Compliance
  • Coronary Angiography
  • Coronary Stenosis / diagnostic imaging*
  • Female
  • Humans
  • Hypertrophy, Left Ventricular / etiology
  • Leg / blood supply*
  • Male
  • Middle Aged
  • Plethysmography / methods
  • ROC Curve
  • Reproducibility of Results
  • Risk Factors
  • Statistics as Topic