Dataset Information

Relation of Risk Factors and Abdominal Aortic Calcium to Progression of Coronary Artery Calcium (from the Framingham Heart Study).

ABSTRACT: Coronary artery calcium (CAC) and abdominal aortic calcium (AAC) on multidetector computed tomography (MDCT) permit assessment of the presence and burden of coronary and systemic atherosclerosis. Risk factors for progression of CAC and AAC and the association of AAC with CAC progression have not been well characterized in a community-dwelling cohort. We studied 1,959 asymptomatic participants from the Framingham Heart Study who underwent serial MDCT scans with a median interval of 6.1 years. Primary outcomes were (a) the incidence of CAC and AAC (CAC >0 and AAC >0 with baseline CAC = 0 and AAC = 0) and (b) absolute progression of CAC (CAC > baseline CAC and AAC > baseline AAC). Covariates were collected at adjacent cycle examinations and included age, gender, use of antihypertensive therapy, use of lipid-lowering therapy, cigarette smoking, and total and high-density lipoprotein cholesterol. Predictors for CAC and AAC progression included baseline CAC, baseline AAC, lipid-lowering therapy, diabetes, high-density lipoprotein cholesterol, BMI, and serum creatinine. Multivariable stepwise logistic and linear regression models were used to test the association of these risk factors with CAC and AAC. Those who developed incident CAC on follow-up scanning comprised 18.8% of 1,124 participants, and 84.9% of 780 participants, with detectable baseline CAC, had further progression. Baseline AAC was a predictor of both CAC incidence and progression, independent of other risk factors. In stepwise models, addition of baseline AAC slightly improved the area under the curve from 0.72 (0.68 to 0.76) to 0.74 (0.70 to 0.78). In conclusion, standard cardiovascular disease risk factors are associated with incidence and progression of CAC and AAC, and AAC augments CAC incidence and progression above cardiovascular disease risk factors.

SUBMITTER: Onuma OK

PROVIDER: S-EPMC5734670 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Relation of Risk Factors and Abdominal Aortic Calcium to Progression of Coronary Artery Calcium (from the Framingham Heart Study).

Onuma Oyere K OK Pencina Karol K Qazi Saadia S Massaro Joseph M JM D'Agostino Ralph B RB Chuang Michael L ML Fox Caroline S CS Hoffmann Udo U O'Donnell Christopher J CJ

The American journal of cardiology 20170301 10

Coronary artery calcium (CAC) and abdominal aortic calcium (AAC) on multidetector computed tomography (MDCT) permit assessment of the presence and burden of coronary and systemic atherosclerosis. Risk factors for progression of CAC and AAC and the association of AAC with CAC progression have not been well characterized in a community-dwelling cohort. We studied 1,959 asymptomatic participants from the Framingham Heart Study who underwent serial MDCT scans with a median interval of 6.1 years. Pri ...[more]

PMID: 28442125

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Project description:PurposeTo extract radiomic features from coronary artery calcium (CAC) on CT images and to determine whether this approach could improve the ability to identify individuals at risk for a composite endpoint of clinical events.Materials and methodsParticipants from the Offspring and Third Generation cohorts of the community-based Framingham Heart Study underwent noncontrast cardiac CT (2002-2005) and were followed for more than a median of 9.1 years for composite major events. A total of 624 participants with CAC Agatston score (AS) of greater than 0 and good or excellent CT image quality were included for manual CAC segmentation and extraction of a predefined set of radiomic features reflecting intensity, shape, and texture. In a discovery cohort (n = 318), machine learning was used to select the 20 most informative and nonredundant CAC radiomic features, classify features predicting events, and define a radiomic-based score (RS). Performance of the RS was tested independently for the prediction of events in a validation cohort (n = 306).ResultsThe RS had a median value of 0.08 (interquartile range, 0.007-0.71) and a weak and modest correlation with Framingham risk score (FRS) (r = 0.2) and AS (r = 0.39), respectively. The continuous RS unadjusted, adjusted for age and sex, FRS, AS, and FRS plus AS were significantly associated with events (hazard ratio [HR] = 2.2, P < .001; HR = 1.8, P = .002; HR = 2.0, P < .001; HR = 1.7, P = .02; and HR = 1.8, P = .01, respectively). In participants with AS of less than 300, RS association with events remained significant when unadjusted and adjusted for age and sex, FRS, AS, and FRS plus AS (HR = 2.4, 2.8, 2.8, 2.3, and 2.6; P < .001, respectively). In the same subgroup of participants, adding the RS to AS resulted in a significant improvement in the discriminatory ability for events as compared with the AS (area under the receiver operating curve: 0.80 vs 0.68, respectively; P = .03).ConclusionA radiomic-based score, including the complex properties of CAC, may constitute an imaging biomarker to be further developed to identify individuals at risk for major adverse cardiovascular events in a community-based cohort. Supplemental material is available for this article. © RSNA, 2020.

Dataset Information

Relation of Risk Factors and Abdominal Aortic Calcium to Progression of Coronary Artery Calcium (from the Framingham Heart Study).

Publications

Relation of Risk Factors and Abdominal Aortic Calcium to Progression of Coronary Artery Calcium (from the Framingham Heart Study).

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