2016•CirculationRequires access

Abstract 20360: Modeling Coronary Artery Calcium and the Competing Long-Term Risk of Cardiovascular Versus Non-cardiovascular Mortality: The Cac Consortium

Seamus Paul Whelton, Khurram Nasir, Roger Scott Blumenthal, Zeina Dardari, Michael iedema, John A. Rumberger, Leslee J. Shaw, Dan Berman, Matthew Jay Budoff, Michael Joseph Blaha

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Abstract

Background: Coronary artery calcium (CAC) is one of the strongest predictors of cardiovascular disease (CVD), but it is also associated with chronic non-CVD such as cancer. There is limited data on the relative associations between CAC and CVD versus non-CVD mortality. Methods: Four participating institutions contributed 66,636 individuals with CAC scans results and risk factor data to the CAC Consortium. All CAC scans were performed for clinical CVD risk assessment in patients without known coronary heart disease (CHD). CAC was categorized as 0, 1-99, 100-399, and ≥400. Mortality was assessed through linkage to the Social Security Death Index and death certificates were subsequently obtained from the National Death Index. The risk of cause-specific mortality was calculated using Cox models and competing risks models were calculated using the Fine and Gray method. Results: The mean age was 54 ± 11 years, 67% of patients were male, 45% of patients had CAC=0, and half had a 10-year ASCVD risk of <5%. There ...

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Background: Coronary artery calcium (CAC) is one of the strongest predictors of cardiovascular disease (CVD), but it is also associated with chronic non-CVD such as cancer. There is limited data on the relative associations between CAC and CVD versus non-CVD mortality. Methods: Four participating institutions contributed 66,636 individuals with CAC scans results and risk factor data to the CAC Consortium. All CAC scans were performed for clinical CVD risk assessment in patients without known coronary heart disease (CHD). CAC was categorized as 0, 1-99, 100-399, and ≥400. Mortality was assessed through linkage to the Social Security Death Index and death certificates were subsequently obtained from the National Death Index. The risk of cause-specific mortality was calculated using Cox models and competing risks models were calculated using the Fine and Gray method. Results: The mean age was 54 ± 11 years, 67% of patients were male, 45% of patients had CAC=0, and half had a 10-year ASCVD risk of <5%. There ...

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Available abstract

Background: Coronary artery calcium (CAC) is one of the strongest predictors of cardiovascular disease (CVD), but it is also associated with chronic non-CVD such as cancer. There is limited data on the relative associations between CAC and CVD versus non-CVD mortality. Methods: Four participating institutions contributed 66,636 individuals with CAC scans results and risk factor data to the CAC Consortium. All CAC scans were performed for clinical CVD risk assessment in patients without known coronary heart disease (CHD). CAC was categorized as 0, 1-99, 100-399, and ≥400. Mortality was assessed through linkage to the Social Security Death Index and death certificates were subsequently obtained from the National Death Index. The risk of cause-specific mortality was calculated using Cox models and competing risks models were calculated using the Fine and Gray method. Results: The mean age was 54 ± 11 years, 67% of patients were male, 45% of patients had CAC=0, and half had a 10-year ASCVD risk of <5%. There ...

Key concepts: Medicine, National Death Index, Coronary artery calcium, Internal medicine, Cardiology, Coronary artery disease, Proportional hazards model, Cause of death

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