Association Between the Atherosclerotic Disease Risk Score and Carotid Artery Stenosis

Mark D Balceniuk1, Claire M Motyl1, Brian C Ayers1

  • 1Division of Vascular Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, New York.

Insights

The Atherosclerotic Cardiovascular Disease (ASCVD) risk score shows a link to moderate/severe carotid artery stenosis (CAS). However, the ASCVD score is not sensitive or specific enough for screening asymptomatic patients for CAS.

Area of Science:

  • Vascular Surgery
  • Cardiology
  • Neurology

Background:

  • Carotid artery stenosis (CAS) is a leading treatable cause of ischemic stroke.
  • Current guidelines do not recommend screening asymptomatic individuals for CAS.
  • The ASCVD risk score estimates 10-year cardiovascular disease risk.

Purpose of the Study:

  • To investigate the association between the ASCVD risk score and moderate/severe CAS.
  • To evaluate the utility of the ASCVD risk score in identifying patients with significant carotid stenosis.

Main Methods:

  • Retrospective review of 2,856 patients undergoing carotid ultrasound surveillance (2015-2018).
  • Patients categorized into none-to-mild (<50%) and moderate-to-severe (≥50%) CAS groups using Strandness criteria.
  • Statistical analyses included t-tests, multivariate analysis, and ROC curve analysis.

Main Results:

  • ASCVD risk score significantly predicted moderate/severe CAS in multivariate analysis (OR 1.11 per 10% increase, P=0.004).
  • ROC analysis showed an area under the curve of 0.59 for ASCVD score predicting moderate/severe CAS, with an optimal cutoff of 28.4%.
  • A novel atherosclerotic disease model showed an AUC of 0.57 for predicting moderate/severe CAS.

Conclusions:

  • This study is the first to link ASCVD risk score to moderate/severe CAS.
  • The ASCVD risk score is associated with moderate/severe CAS but lacks the sensitivity and specificity for effective screening.
  • Further research may be needed to refine risk prediction models for CAS.
Abstract

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