Publications by authors named "J L Megnien"

Background/objectives: Epidemiological studies suggest that apple consumption is associated with a reduction in cardiovascular disease risk. Apple polyphenols may contribute to explain these effects. Endothelial dysfunction has been associated with early stage of atherosclerosis and polyphenols from various dietary sources have been shown to reverse it.

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Objectives: We analyzed, in above-average risk asymptomatic individuals, the factors determining early thoracic aorta enlargement.

Methods: Ascending aortic diameter (AAD) was measured with noncontrast multidetector computed tomography in 345 participants (mean age 56 years; 78% men) without cardiovascular disease. We analyzed the associations of AAD with risk factors and Framingham risk score (FRS), multidetector computed tomography-assessed coronary artery calcium (CAC), and ultrasound interrogation of plaque presence at five sites (right and left carotid arteries, right and left femoral arteries, and abdominal aorta), the number of diseased sites with presence of plaque being counted from 0 to 5.

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The ambulatory arterial stiffness index (AASI) is claimed to be a new estimator for arterial rigidity. It was recently defined as one minus the slope of the linear regression of systolic to diastolic ambulatory pressure during 24 h. Although several reports testify its clinical relevance, the explanation of how this new index is conceptually associated with arterial stiffness remains controversial.

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Background: Application of coronary artery calcium (CAC) for stratifying coronary heart disease (CHD) risk may change the proportion of subjects eligible for risk reduction treatment and decrease cost-effectiveness of primary prevention. We therefore aimed to analyze the impact of CAC on CHD risk categorization.

Methods: We measured CAC with electron beam computed tomography in 500 asymptomatic untreated hypercholesterolemic men and re-calibrated 10-year Framingham CHD risk by adding CAC score information (post CAC test risk) via an algorithm integrating relative risk and expected distribution of CAC in the population tested.

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