Color duplex scanning for the identification of extracranial atherosclerosis in patients with suspected coronary artery disease

Cardiologia. 1999 Dec;44(12):1053-8.

Abstract

Background: The presence of extracranial artery disease has been used as a predictor of coronary artery disease (CAD). The present study was conducted to test the prevalence of extracranial artery disease among patients with suspected CAD.

Methods: Among candidates for coronary arteriography, 400 consecutive patients (mean age 63 +/- 11 years, 78% males, 22% females) underwent color duplex ultrasound of carotid arteries.

Results: Extracranial artery disease was documented in 60 patients (15%), CAD in 309 patients (77%). Patients with extracranial artery disease were significantly older (p < 0.001), smoked a higher amount of pack-years (p < 0.001), showed a higher incidence of diabetes (p < 0.01), hypertension (p < 0.05) and CAD (p < 0.05) when compared to extracranial artery disease-free subjects. Plotting age against extracranial artery disease and CAD distribution, extracranial artery disease occurred later in life than CAD (p < 0.001). The best cut-off point of age for predicting extracranial artery disease was 68 years. Carotid angiography was performed in 114 patients after cardiac catheterization (k = 0.8044 with color duplex scanning).

Conclusions: Extracranial artery disease is frequent among patients undergoing coronary arteriography. Carotid ultrasound screening is useful in older patients.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Angiography / methods
  • Carotid Arteries / diagnostic imaging*
  • Carotid Artery Diseases / diagnostic imaging*
  • Chi-Square Distribution
  • Coronary Disease / diagnostic imaging*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • Sensitivity and Specificity
  • Ultrasonography, Doppler, Color / methods
  • Ultrasonography, Doppler, Color / statistics & numerical data
  • Ultrasonography, Doppler, Duplex / methods
  • Ultrasonography, Doppler, Duplex / statistics & numerical data