Dataset Information

Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis.

ABSTRACT: The aim of this study was to investigate whether inclusion of simple measures of calcified plaque distribution might improve the ability of the traditional Agatston coronary artery calcium (CAC) score to predict cardiovascular events.Agatston CAC scoring does not include information on the location and distributional pattern of detectable calcified plaque.We studied 3,262 (50%) individuals with baseline CAC >0 from MESA (Multi-Ethnic Study of Atherosclerosis). Multivessel CAC was defined by the number of coronary vessels with CAC (scored 1 to 4, including the left main). The "diffusivity index" was calculated as: 1 - (CAC in most affected vessel/total CAC), and was used to group participants into concentrated and diffuse CAC patterns. Multivariable Cox proportional hazards regression, area under the curve, and net reclassification improvement analyses were performed for both coronary heart disease (CHD) and cardiovascular disease (CVD) events to assess whether measures of regional CAC distribution add to the traditional Agatston CAC score.Mean age of the population was 66 ± 10 years, with 42% women. Median follow-up was 10.0 (9.5 to 10.7) years and there were 368 CHD and 493 CVD events during follow-up. Considerable heterogeneity existed between CAC score group and number of vessels with CAC (p < 0.01). Addition of number of vessels with CAC significantly improved capacity to predict CHD and CVD events in survival analysis (hazard ratio: 1.9 to 3.5 for 4-vessel vs. 1-vessel CAC), area under the curve analysis (C-statistic improvement of 0.01 to 0.033), and net reclassification improvement analysis (category-less net reclassification improvement 0.10 to 0.45). Although a diffuse CAC pattern was associated with worse outcomes in participants with ?2 vessels with CAC (hazard ratio: 1.33 to 1.41; p < 0.05), adding this variable to the Agatston CAC score and number of vessels with CAC did not further improve global risk prediction.The number of coronary arteries with calcified plaque, indicating increasingly "diffuse" multivessel subclinical atherosclerosis, adds significantly to the traditional Agatston CAC score for the prediction of CHD and CVD events.

SUBMITTER: Blaha MJ

PROVIDER: S-EPMC5055410 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis.

Blaha Michael J MJ Budoff Matthew J MJ Tota-Maharaj Rajesh R Dardari Zeina A ZA Wong Nathan D ND Kronmal Richard A RA Eng John J Post Wendy S WS Blumenthal Roger S RS Nasir Khurram K

JACC. Cardiovascular imaging 20160413 12

<h4>Objectives</h4>The aim of this study was to investigate whether inclusion of simple measures of calcified plaque distribution might improve the ability of the traditional Agatston coronary artery calcium (CAC) score to predict cardiovascular events.<h4>Background</h4>Agatston CAC scoring does not include information on the location and distributional pattern of detectable calcified plaque.<h4>Methods</h4>We studied 3,262 (50%) individuals with baseline CAC >0 from MESA (Multi-Ethnic Study of ...[more]

PMID: 27085449

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Project description:PurposeTo develop a new calcium score for use with unenhanced cardiac computed tomography (CT) that can be used to define the percentage of coronary arteries affected by calcium and to correlate this score with risk factors and cardiovascular events.Materials and methodsInstitutional review boards at all participating centers approved this HIPAA-compliant study, and all participants gave written informed consent. Calcium coverage score (CCS), which represents the percentage of coronary arteries affected by calcific plaque, was calculated for 3252 participants in the Multi-Ethnic Study of Atherosclerosis in whom calcific plaque was detected with CT. Quasi-Poisson models were used to estimate associations (assessed by using t tests with robust standard errors) between CCS and risk factors. Associations between the CCS, Agatston, and calcium mass scores (hereafter, mass scores) and outcomes were estimated and assessed by using Cox proportional hazards models with Wald tests. The predictive ability of these models was assessed by using area under the receiver operating characteristic curves and bootstrap t tests.ResultsAfter adjustments were made for age, race, ethnicity, and sex in the quasi-Poisson model, CCS was associated with hypertension, dyslipidemia, and diabetes (P < .001 for all diseases). After adjustments for age and sex, a twofold increase in CCS was associated with a 52% (95% confidence interval: 34%, 72%) increase in risk for any coronary heart disease (CHD) event. When Agatston or mass scores were included with CCS in a Cox model for prediction of CHD events, neither Agatston score nor mass score was a significant predictor, whereas CCS remained significantly associated with CHD events. Although receiver operating characteristic curves suggested that there was a difference between CCS score and Agatston and mass scores in prediction of a cardiac event, no differences in prediction of hard cardiac events (myocardial infarction, death) were found.ConclusionBoth spatial distribution and amount of calcified plaque contribute to risk for CHD.

Project description:OBJECTIVES:The MESA (Multi-Ethnic Study of Atherosclerosis) is a population-based study of 6,814 men and women. We sought to analyze the relationship between the extent of coronary artery calcium (CAC) at baseline and the severity of coronary stenoses in clinically indicated coronary angiography studies during follow-up. BACKGROUND:CAC is an established predictor of major cardiovascular events. Yet, the relationship between CAC and the distribution and severity of coronary artery stenoses has not been widely explored. METHODS:All MESA participants underwent noncontrast enhanced cardiac computed tomography during enrollment to determine baseline CAC. We analyzed 175 consecutive angiography reports from participants who underwent coronary catheterization for clinical indications during a median follow-up period of 18 months. The relationship between baseline CAC and the severity of coronary stenosis detected in coronary angiographies was determined. RESULTS:Baseline Agatston score was 0 in only 7 of 175 (4%) MESA participants who underwent invasive angiography during follow-up. When coronary arteries were studied separately, 13% to 18% of coronary arteries with >or=75% stenosis had 0 calcium mass scores at baseline. There was close association between baseline calcium mass score and the severity of stenosis in each of the coronary arteries (test for trend, p < 0.001). For example, mean calcium mass scores for <50%, 50% to 74%, and >or=75% stenosis in the left anterior descending coronary artery were 105.1 mg, 157.2 mg, and 302.2 mg, respectively (p < 0.001). Finally, there was a direct relationship between the total Agatston Score at baseline and the number of diseased vessels (test for trend, p < 0.001). CONCLUSIONS:The majority of patients with clinically indicated coronary angiography during follow-up had detectable coronary calcification at baseline. Although there is a significant relationship between the extent of calcification and mean degree of stenosis in individual coronary vessels, 16% of the coronary arteries with significant stenoses had no calcification at baseline.

Project description:BACKGROUND:Limited attention has been paid to negative cardiovascular disease (CVD) risk markers despite their potential to improve medical decision making. We compared 13 negative risk markers using diagnostic likelihood ratios (DLRs), which model the change in risk for an individual after the result of an additional test. METHODS AND RESULTS:We examined 6814 participants from the Multi-Ethnic Study of Atherosclerosis. Coronary artery calcium score of 0, carotid intima-media thickness <25th percentile, absence of carotid plaque, brachial flow-mediated dilation >5% change, ankle-brachial index >0.9 and <1.3, high-sensitivity C-reactive protein <2 mg/L, homocysteine <10 µmol/L, N-terminal pro-brain natriuretic peptide <100 pg/mL, no microalbuminuria, no family history of coronary heart disease (any/premature), absence of metabolic syndrome, and healthy lifestyle were compared for all and hard coronary heart disease and all CVD events over the 10-year follow-up. Models were adjusted for traditional CVD risk factors. Among all negative risk markers, coronary artery calcium score of 0 was the strongest, with an adjusted mean DLR of 0.41 (SD, 0.12) for all coronary heart disease and 0.54 (SD, 0.12) for CVD, followed by carotid intima-media thickness <25th percentile (DLR, 0.65 [SD, 0.04] and 0.75 [SD, 0.04], respectively). High-sensitivity C-reactive protein <2 mg/L and normal ankle-brachial index had DLRs >0.80. Among clinical features, absence of any family history of coronary heart disease was the strongest (DLRs, 0.76 [SD, 0.07] and 0.81 [SD, 0.06], respectively). Net reclassification improvement analyses yielded similar findings, with coronary artery calcium score of 0 resulting in the largest, most accurate downward risk reclassification. CONCLUSIONS:Negative results of atherosclerosis-imaging tests, particularly coronary artery calcium score of 0, resulted in the greatest downward shift in estimated CVD risk. These results may help guide discussions on the identification of individuals less likely to receive net benefit from lifelong preventive pharmacotherapy.

Dataset Information

Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis.

Publications

Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis.

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