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Comparison of Carotid Plaque Score and Coronary Artery Calcium Score for Predicting CVD Events in MESA

This study compares the abilities of Carotid Plaque Score (CPS) and Coronary Artery Calcium Score (CAC) to predict cardiovascular disease (CVD) events in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort. The results show that CAC score improves prediction, discrimination, and reclassification of CVD and coronary heart disease (CHD) risk better than CPS. However, both scores performed similarly for predicting stroke and transient ischemic attack (TIA) events.

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Comparison of Carotid Plaque Score and Coronary Artery Calcium Score for Predicting CVD Events in MESA

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  1. Comparison of Carotid Plaque Score and Coronary Artery Calcium Score for Predicting CVD Events in MESA Adam Gepner, MD University of Wisconsin School of Medicine and Public Health

  2. Disclosures: None

  3. Abstract

  4. Background • CAC predicts coronary heart disease (CHD) events better than carotid wall thickness and carotid plaque presence • CAC scoring may not detect non-calcified plaques • CAC may underestimate stroke/transient ischemic attack (TIA) risk compared with carotid plaque • Comparative efficacy of CAC score & carotid plaque score for CVD risk prediction is unclear

  5. Objective To compare and describe the abilities of CAC score and carotid plaque score to predict CVD events in a large, multiethnic cohort with long-term follow-up

  6. Participants and Design • The Multi-Ethnic Study of Atherosclerosis (MESA) is a longitudinal prospective, cohort study • Participants were 45-84 years old and free of known CVD at baseline (2000-2002) • CVD events (CVD death, CHD, and stroke) and TIAs adjudicated

  7. CAC and Plaque Methods • CAC detected by computed tomography and Agatston scores determined • Carotid plaque detected by B-mode US • Focal abnormal wall thickness (IMT >1.5 mm) • Focal thickening >50% of the IMT • Carotid plaque score calculation • # of plaques in the common, bifurcation, and internal carotid arteries • Range 0-12

  8. Plaque Score Examples: Right internal carotid artery Left internal carotid artery Left external carotid artery Right external carotid artery Left carotid bifurcation Right carotid bifurcation Right common carotid artery Left common carotid artery

  9. Statistical Analysis • CAC score analyzed as ln(CAC+1) • Carotid plaque score analyzed as: • ln(score +1) • Untransformed • SD units • Predictive values compared • Cox proportional hazards models, C-statistics, NRIs • Models adjusted for traditional CVD risk factors

  10. Baseline Demographics

  11. Baseline Demographics

  12. Events

  13. Results • 2,424 (48.9%) had CAC • Mean score of 270.6 (519.9) • 2,516 (50.8%) had carotid plaque • Mean score of 2.6 (1.8) • 11.3 (3.0) years follow-up • CAC and carotid plaque scores improved risk prediction compared with traditional CVD RFs • CAC score was a stronger predictor than carotid plaque score for both CVD and CHD

  14. Questions?

  15. Adjusted Models

  16. Discussion • CAC score and carotid plaque score improved prediction of CVD and CHD events compared to traditional CVD risk factors • Adjusted HRs, C-statistics, and NRI values consistently were higher for CAC score than for carotid plaque score • For stroke and TIA events, CAC and carotid plaque score performed similarly

  17. Limitations • Subset of the entire MESA cohort • Possible survivorship bias • Small number of stroke and TIA events • Units of CAC score and carotid plaque score are not equal or equally spaced • CAC score ranges from 0 to infinity; carotid plaque score from 0-12 • Regression coefficients presented in SD units of the measure to permit a more direct comparison

  18. Conclusions • CAC score improves prediction, discrimination, and reclassification of CVD and CHD risk better than carotid plaque score • CAC and carotid plaque scores had similar prediction and weaker discrimination and reclassification for stroke/TIA events

  19. Funding Sources Contracts N01-HC-95159 through N01-HC-95169 from the NHLBI, grant ES-015915 from the NIEHS, grant R831697 from the US EPA, grants UL1-RR-024156 and UL1-RR-025005 from the NCRR, and by a T32 HL-07936 Ruth L. Kirschstein National Research Service Award from the NHLBI to the University of Wisconsin-Madison Cardiovascular Research Center

  20. Acknowledgements • James Stein • Rebekah Young • AIRP Lab • Claudia Korcarz • Kristin Hansen • JoAnne Weber • Jessica Horn • Co-Authors • MESA Steering Committee

  21. Questions ?

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