Data on coronary artery calcium score performance and cardiovascular risk reclassification across gender and

Marat Fudim1, Sandip Zalawadiya2, Devin K Patel3

  • 1Department of Internal Medicine, Division of Cardiology, Duke University Hospital, Durham, NC, United States.

Data in Brief
|February 25, 2016
PubMed

Insights

The Atherosclerotic Cardiovascular Disease (ASCVD) score effectively predicts cardiovascular disease (CVD) risk. Adding coronary artery calcium scoring (CACS) offers incremental value across diverse genders and ethnicities.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Medical Imaging

Background:

  • Current guidelines recommend the Atherosclerotic Cardiovascular Disease (ASCVD) score for predicting future cardiovascular disease (CVD) events.
  • Limited data exist on the combined predictive utility of the ASCVD score and coronary artery calcium scoring (CACS) across diverse demographic groups.

Purpose of the Study:

  • To evaluate the predictive accuracy of the ASCVD score alone and in combination with CACS for CVD events.
  • To assess the incremental value of CACS across different genders and ethnicities.

Main Methods:

  • Post-hoc analysis of 6742 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) cohort.
  • Utilized pooled cohort equations based on American College of Cardiology/American Heart Association guidelines.
  • Compared the analytical properties of models with and without CACS for CVD prediction.

Main Results:

  • The ASCVD score demonstrated predictive utility for CVD events.
  • The addition of CACS provided incremental predictive value.
  • Performance of the ASCVD score and CACS varied across gender and ethnic groups.

Conclusions:

  • The ASCVD score is a valuable tool for assessing CVD risk.
  • Coronary artery calcium scoring (CACS) enhances CVD risk prediction when combined with the ASCVD score.
  • Further research is needed to refine risk prediction models for diverse populations.

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