title: Relation of thoracic aortic and aortic valve calcium to coronary artery calcium and risk assessment.
abstract: Aortic calcium, aortic valve calcium (AVC), and coronary artery calcium (CAC) have been associated with cardiovascular event risk. We examined the prevalence of thoracic aortic calcium (TAC) and AVC in relation to the presence and extent of CAC, cardiovascular risk factors, and estimated risk of coronary heart disease (CHD). In 2,740 persons without known CHD aged 20 to 79 years, CAC was assessed by electron beam- or multidetector-computed tomography. We determined the prevalence of TAC and AVC in relation to CAC, CHD risk factors, and predicted 10-year risk of CHD. A close correspondence of TAC and AVC was observed with CAC. TAC and AVC increased with age; by the eighth decade of life, the prevalence of TAC was similar to that of CAC (>80%), and 36% of men and 24% of women had AVC. Age, male gender, and low-density lipoprotein cholesterol were directly related to the likelihood of CAC, TAC, and AVC; higher diastolic blood pressure and cigarette smoking additionally predicted CAC. Body mass index and higher systolic and lower diastolic blood pressures were also related to TAC, and higher body mass index and lower diastolic blood pressure were related to AVC. Calculated risk of CHD increased with the presence of AVC and TAC across levels of CAC. TAC and AVC provided incremental value over CAC in association with the 10-year calculated risk of CHD. If longitudinal studies show an incremental value of aortic and aortic valve calcium over that of CAC for prediction of cardiovascular events, future guidelines for risk assessment incorporating CAC assessment may additionally incorporate the measurement of aortic and/or aortic valve calcium.
authors.affiliation: Heart Disease Prevention Program, Department of Medicine, University of California, Irvine, California, USA.
authors.forename: Nathan D
authors.initials: ND
authors.lastname: Wong
authors.forename: Maria
authors.initials: M
authors.lastname: Sciammarella
authors.forename: Yadon
authors.initials: Y
authors.lastname: Arad
authors.forename: Romalisa
authors.initials: R
authors.lastname: Miranda-Peats
authors.forename: Donna
authors.initials: D
authors.lastname: Polk
authors.forename: Rory
authors.initials: R
authors.lastname: Hachamovich
authors.forename: John
authors.initials: J
authors.lastname: Friedman
authors.forename: Sean
authors.initials: S
authors.lastname: Hayes
authors.forename: Anthony
authors.initials: A
authors.lastname: Daniell
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Berman
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001013:Aorta, Thoracic / Q000000981:diagnostic imaging; D001018:Aortic Diseases / Q000097:blood / Q000000981:diagnostic imaging; D001021:Aortic Valve / Q000000981:diagnostic imaging; D015992:Body Mass Index; D002114:Calcinosis / Q000097:blood / Q000150:complications* / Q000000981:diagnostic imaging / Q000453:epidemiology; D009202:Cardiomyopathies / Q000097:blood / Q000000981:diagnostic imaging / Q000209:etiology*; D008078:Cholesterol, LDL / Q000097:blood; D003331:Coronary Vessels / Q000473:pathology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000150:complications; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects; D014057:Tomography, X-Ray Computed / Q000379:methods
chemical_list: D008078:Cholesterol, LDL