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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
04:40

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

Published on: August 28, 2018

[An analysis of clinical factors for coronary artery calcification score]

Hui-Nan Zhu1, Yong Huo, Jing Zhou

  • 1Department of Cardiology, Peking University First Hospital, Beijing 100034, China.

Zhonghua Nei Ke Za Zhi
|July 7, 2009
PubMed

Insights

Severe coronary artery calcification is linked to aortic valve calcification, mitral annular calcification, diabetes, and high Upstroke time (UT). These factors are crucial for assessing coronary artery disease risk.

Area of Science:

  • Cardiology
  • Radiology
  • Vascular Biology

Background:

  • Coronary artery calcification score (CACS) is a key indicator of coronary artery disease (CAD).
  • Identifying clinical factors correlating with CACS is essential for early risk stratification.
  • Understanding these correlations aids in refining diagnostic and treatment strategies for CAD.

Purpose of the Study:

  • To investigate the clinical factors associated with coronary artery calcification score (CACS).
  • To identify independent predictors of severe coronary artery calcification.
  • To explore the relationship between CACS and vascular parameters like pulse wave velocity (PWV).

Main Methods:

  • 141 patients with suspected CAD underwent multi-slice row computed tomography (MSCT), PWV, echocardiography (UCG), and blood biochemistry.
  • Patients were stratified into three groups based on CACS: 0-10, 11-400, and >400.
  • Statistical analyses, including multifactorial logistic regression, were employed to determine correlations.

Main Results:

  • CACS showed significant associations with age, hypertension, and diabetes mellitus.
  • Calcification in the mitral annulus and aortic valve, low ankle-brachial index (ABI), high mean artery pressure (MAP), high brachial-ankle PWV (baPWV), and high Upstroke time (UT) were correlated with CACS.
  • Aortic valve calcification, mitral annular calcification, diabetes, and high UT were independently associated with severe coronary artery calcification.

Conclusions:

  • Aortic valve calcification, mitral annular calcification, diabetes history, and high UT are independent predictors of severe coronary artery calcification.
  • PWV and UCG measurements should precede MSCT for accurate coronary artery lumen assessment, especially with severe calcification.
  • These findings emphasize the importance of a comprehensive vascular assessment in patients with suspected CAD.
Abstract

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