* The prediction of extent and risk profile of coronary atherosclerosis based on clinical evaluation and non-invasive techniques. * Detailed analysis of plaque volume, plaque composition, risk plaque features and shear stress (WSS) changes during lipid lowering therapy (rosuvastatin 40mg) from 3D vessel reconstruction. * Prediction of changes in coronary arteries based on changes in non-invasive examinations. * Examination of WSS influence on atherosclerosis development and changes of WSS during lipid lowering therapy.
The fundamental aim of this project is development of reliable algorithm for detection of extent and risk profile of coronary atherosclerosis based on non-invasive examinations (carotid ultrasound, examination of retinal vessel, diagnosis of endothelial dysfunction, pro-inflammatory markers including new markers of atherosclerosis and gene polymorphisms) with maximal effort on diagnosis of vulnerable plaques. The second part of the study is prediction of coronary atherosclerosis changes during high-dose lipid-lowering therapy (rosuvastatin 40 mg daily). Coronary artery impairment will be examined by up-to date technology using the fusion of angiography, intravascular ultrasound and virtual histology for 3D coronary artery reconstruction together with information about mechanical properties of arteries like a vessel shear stress. This algorithm for non-invasive assessment of coronary impairment and its changes during will be used for detection of high risk patients (in terms of acute coronary syndrome development) and of patients with low response to statin therapy. Further target is detailed assessment of atherosclerosis development and its changes during lipid-lowering therapy.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
60
All patients will be using rosuvastatin 40 mg
Loyola University Hospital
Maywood, Illinois, United States
ACTIVE_NOT_RECRUITINGThe University of Iowa
Iowa City, Iowa, United States
ACTIVE_NOT_RECRUITINGGeneral University Hospital
Prague, Czechia
RECRUITINGThe prediction of plaque volume and plaque composition.
The study is looking for non-invasive predictors of plaque volume and plaque composition. The non-invasive predictors include carotid ultrasound, polymorphism in gene for heme-oxygenase 1 and retinal imaging.
Time frame: The patients will be followed in the study for one year
Prediction of changes in plaque volume and plaque composition
Prediction of changes in plaque composition and plaque volume during lipid lowering therapy based on changes of non-invasive examination.
Time frame: The patients will be followed in the study for one year.
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