Coronary Calcification Progression Study
|Study Design:||Observational Model: Case Control|
|Study Start Date:||July 1999|
|Estimated Study Completion Date:||May 2003|
While advances have been made in control of some coronary heart disease (CHD) risk factors, especially smoking and high dietary fat intake, much of the decline in age-adjusted CHD mortality rates has been due to medical treatment and procedural interventions for overt CHD as well as hypertension and hypercholesterolemia. In this context, the availability of an inexpensive, sensitive and specific method for noninvasive detection of both early coronary atherosclerosis and asymptomatic but advanced CHD could allow beneficial treatments to be targeted at many high-risk individuals. The study was designed to determine whether fast-gated helical computed tomography (FGHCT), a more advanced and readily-available variant of a technique (EBCT) that has not achieved its full promise, could play such a role.
Dr. Crouse and his colleagues augmented ongoing case-control studies, HL35333, "Carotid Atherosclerosis Progression Study" and HL59503, "Vascular Disease, Structure and Function". HL35333 comprises 280 symptomatic individuals > 45 years equally divided between men and women, half with and half without angiographically defined coronary artery disease evaluated for risk factors and extracranial carotid intimal-medial thickness (ECIMT, with B-mode ultrasound) at baseline and yearly for three years. The grant has quantified the associations of coronary artery disease and coronary artery disease risk factors for ECIMT and its progression. HL59503 quantifies flow-mediated brachial artery reactivity (FM-BAR) in this cohort. Literature review suggests that while ECIMT predicts coronary artery disease status in clinical samples it does less well in asymptomatic samples; longitudinal data (CLAS study) suggest that progression of ECIMT best predicted incident coronary artery disease, and Electron Beam Computed Tomography (EBCT) quantification of Coronary Artery Calcium (CAC) likely has even greater discriminatory power for coronary artery disease than ECIMT. However, EBCT has limited accessibility.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00006526
|Investigator:||John Crouse||Wake Forest University|