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1. Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary disease

Author

Knapper, Joseph T, Khosa, Faisal, Blaha, Michael J, Lebeis, Taylor A, Kay, Jenna, Sandesara, Pratik B, Kelkar, Anita A, Berman, Daniel S, Quyyumi, Arshed A, Budoff, Matthew J, Min, James K, Valenti, Valentina, Giambrone, Ashley E, Callister, Tracy Q, and Shaw, Leslee J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cardiovascular, Prevention, Heart Disease - Coronary Heart Disease, Aging, Atherosclerosis, Heart Disease, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Adult, Age Factors, Aged, Area Under Curve, Coronary Artery Disease, Female, Humans, Male, Middle Aged, Mortality, Proportional Hazards Models, Risk Assessment, Risk Factors, Sex Factors, Tomography, X-Ray Computed, Vascular Calcification, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

ObjectiveMinimal data are available regarding the long-term mortality risk of subclinical atherosclerosis using coronary artery calcium (CAC) scoring among patients with a family history (FH) of coronary artery disease (CAD). The aim of the present analysis was to assess the prognostic utility of CAC scoring among cohorts of young and older patients with and without a FH of CAD.MethodsA total of 9715 consecutive asymptomatic patients, free of known CAD, underwent CAC scoring for cardiovascular risk assessment. The primary end point was all-cause mortality, with a median follow-up of 14.6 years. Unadjusted and risk-factor adjusted Cox proportional hazard modelling was employed. We calculated the area under the curve (AUC) from receiver operating characteristics analysis.Results15-year all-cause mortality rates ranged from 4.7% to 25.0% for FH patients and from 5.0% to 38.0% for non-FH patients with CAC scores of 0 to >400 (p60 years with FH of CAD, there was a significant improvement in the AUC with CAC over CAD risk factors (AUC: 0.539 vs 0.725, p

Published
2016

2. Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary disease.

Author

Knapper, Joseph T, Khosa, Faisal, Blaha, Michael J, Lebeis, Taylor A, Kay, Jenna, Sandesara, Pratik B, Kelkar, Anita A, Berman, Daniel S, Quyyumi, Arshed A, Budoff, Matthew J, Min, James K, Valenti, Valentina, Giambrone, Ashley E, Callister, Tracy Q, and Shaw, Leslee J

Subjects
Humans, Tomography, X-Ray Computed, Mortality, Area Under Curve, Proportional Hazards Models, Risk Assessment, Risk Factors, Age Factors, Sex Factors, Adult, Aged, Middle Aged, Female, Male, Coronary Artery Disease, Vascular Calcification, Tomography, X-Ray Computed, Cardiovascular System & Hematology, Cardiorespiratory Medicine and Haematology, Clinical Sciences
Abstract

ObjectiveMinimal data are available regarding the long-term mortality risk of subclinical atherosclerosis using coronary artery calcium (CAC) scoring among patients with a family history (FH) of coronary artery disease (CAD). The aim of the present analysis was to assess the prognostic utility of CAC scoring among cohorts of young and older patients with and without a FH of CAD.MethodsA total of 9715 consecutive asymptomatic patients, free of known CAD, underwent CAC scoring for cardiovascular risk assessment. The primary end point was all-cause mortality, with a median follow-up of 14.6 years. Unadjusted and risk-factor adjusted Cox proportional hazard modelling was employed. We calculated the area under the curve (AUC) from receiver operating characteristics analysis.Results15-year all-cause mortality rates ranged from 4.7% to 25.0% for FH patients and from 5.0% to 38.0% for non-FH patients with CAC scores of 0 to >400 (p60 years with FH of CAD, there was a significant improvement in the AUC with CAC over CAD risk factors (AUC: 0.539 vs 0.725, p

Published
2016

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