Plaque surface irregularity and calcification length within carotid plaque predict secondary events in patients with

Shinichi Nonin1, Shinichi Iwata1, Kenichi Sugioka1

  • 1Department of Cardiovascular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan.

Atherosclerosis
|December 22, 2016
PubMed

Insights

Carotid ultrasound plaque features like calcification length and surface irregularity predict secondary coronary artery disease (CAD) events. Identifying high-risk CAD patients with these ultrasound markers may improve outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Diagnostic Imaging
  • Atherosclerosis Research

Background:

  • Standard risk factor modification may not prevent secondary events in coronary artery disease (CAD) patients.
  • Identifying high-risk individuals is crucial for improved prognosis.
  • Carotid ultrasound assesses systemic atherosclerosis, with plaque and intima-media thickness (IMT) being known CAD risk factors.

Purpose of the Study:

  • To determine if carotid ultrasound findings improve the prediction of secondary CAD events.
  • To investigate the association between carotid plaque characteristics and future cardiovascular events.

Main Methods:

  • 146 CAD patients underwent carotid ultrasound measurement of IMT, plaque score, area, surface irregularity, and calcification length.
  • Patients were followed for 10 years for secondary CAD events (hard MACE and total MACE).
  • Multiple regression analysis adjusted for traditional cardiovascular risk factors.

Main Results:

  • Carotid plaque calcification length (p < 0.05) and plaque surface irregularity (p < 0.01) were independently associated with total MACE.
  • These carotid ultrasound markers remained significant after adjusting for multiple traditional risk factors and multivessel CAD.

Conclusions:

  • Carotid ultrasound plaque calcification length and surface irregularity provide additional predictive value for secondary CAD events.
  • These findings suggest intensive interventions for high-risk CAD patients identified by these markers may delay disease progression.
Abstract

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