Serial quantitative coronary angiography and coronary events

W J Mack1, M Xiang, R H Selzer

  • 1Atherosclerosis Research Unit, Department of Medicine, University of Southern California 90089-9010, USA. wmack@rcf.usc.edu

Insights

Quantitative coronary angiography (QCA) lesion measures predict major cardiac events. Minimum lumen diameter changes in lesions independently predict coronary events, suggesting it

Area of Science:

  • Cardiology
  • Medical Imaging
  • Clinical Trials

Background:

  • Quantitative coronary angiography (QCA) is used to assess atherosclerosis progression.
  • No prior validation studies have compared different QCA measures for predicting coronary events.

Purpose of the Study:

  • To compare various QCA measures as surrogates for coronary events.
  • To validate QCA measures in predicting myocardial infarction, coronary death, and revascularizations.

Main Methods:

  • Analysis of coronary angiograms from 156 men in the Cholesterol Lowering Atherosclerosis Study.
  • Measurement of changes in percent diameter stenosis, minimum lumen diameter, and other QCA parameters.
  • Correlation of QCA changes with 12-year follow-up data on coronary events using proportional hazards models.

Main Results:

  • Changes in percent diameter stenosis and minimum lumen diameter of coronary lesions significantly predicted myocardial infarction/coronary death.
  • All QCA measures correlated with the risk of any coronary event.
  • Change in minimum lumen diameter of lesions was the sole independent predictor of coronary events.

Conclusions:

  • All QCA measures of coronary artery disease progression relate to overall coronary events.
  • Only QCA measures of lesion progression predict myocardial infarction/coronary death.
  • QCA measures of lesion change may serve as superior surrogate endpoints for hard coronary events compared to segment measures.
Abstract

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