Why the study?
Does the addition of CACS to traditional risk factors improve risk classification for coronary heart disease prediction in a multi-ethnic cohort?
Does the addition of CACS to traditional risk factors improve risk classification for coronary heart disease prediction in a multi-ethnic cohort?
Adding Coronary Artery Calcium Score (CACS) to traditional risk factor models significantly improves coronary heart disease risk classification.
Supports CACS for refined CHD risk classification in diverse groups; hypothesis-generating and should not yet change practice.
In this multi-ethnic cohort, addition of CACS to a prediction model based on traditional risk factors significantly improved the classification of risk and placed more individuals in the most extreme risk categories.
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Tamar S. Polonsky (2010) studied this question.
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