Quantitative correlation between carotid or lower limb atherosclerosis and coronary heart disease: a retrospective

Zeyu Jiang1, Shimiao Ruan2, Kun Zhao3

  • 1Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China.

PubMed

Insights

Vascular ultrasound scores of carotid and lower limb atherosclerosis can predict the need for coronary revascularization. This establishes a predictive model for coronary artery disease (CAD) using peripheral vascular disease assessment.

Area of Science:

  • Cardiovascular Medicine
  • Diagnostic Imaging
  • Vascular Surgery

Background:

  • Early diagnosis and intervention are crucial for managing coronary heart disease (CHD).
  • Ultrasound is utilized for risk stratification in patients with coronary artery disease.
  • Limited research quantifies the link between atherosclerosis in carotid or lower limb vessels and the need for coronary revascularization.

Purpose of the Study:

  • To demonstrate that semi-quantitative atherosclerosis assessment in neck or lower extremity vessels predicts the requirement for coronary revascularization.
  • To establish a predictive model for coronary revascularization based on peripheral vascular disease.

Main Methods:

  • Semi-quantitative analysis of coronary artery and peripheral vascular stenosis was performed.
  • Data were collected from 306 patients who underwent coronary angiography and peripheral vascular ultrasound.

Main Results:

  • Vascular ultrasound scores (semi-quantitative, grade, and lower limb) positively correlated with the Gensini score for coronary artery lesions.
  • The semi-quantitative score (score=2) showed 83.74% sensitivity and 61.72% specificity for predicting coronary revascularization.
  • The lower extremity score (score=3) demonstrated 90.24% sensitivity and 54.55% specificity for predicting coronary revascularization.

Conclusions:

  • Carotid and lower limb vascular ultrasound scores are predictive factors for coronary revascularization.
  • These scores can serve as auxiliary tools for the early diagnosis of coronary artery disease.
Abstract