Active clinical trials for "Myocardial Infarction"

To determine the incidence, secular trends, and outcomes of coronary heart disease in the population of Rochester, Minnesota.

To test the hypothesis that increased risk of coronary heart disease, stroke, peripheral vascular disease, and cancer is related to diets high in saturated fat, animal protein, and hydrogenated vegetable oil, and low in polyunsaturated fat, fiber, vitamins A, C, and E, calcium, selenium, and chromium.

To evaluate the cardiovascular effects of postmenopausal hormone replacement therapy and the suspected beneficial effects on myocardial infarction and stroke.

To evaluate the ability of heart rate variability to identify myocardial infarction patients at high risk of dying, particularly from sudden cardiac death.

To assess whether current oral contraceptive (OC) use (within the previous month) increased the risk of myocardial infarction. Also, to assess the combined effects of cigarette smoking and oral contraceptive use.

To investigate factors which trigger the discharge of implantable cardioverter-defibrillators (ICDs).

To examine the impact of an interaction between common genetic susceptibility markers and environmental exposures on risk for early onset myocardial infarction in cases with myocardial infarction and matching controls.

To examine markers of underlying chronic inflammation and infection as potential risk factors for future myocardial infarction (MI), stroke (CVA), and venous thromboembolism (VTE) in plasma samples collected at baseline from healthy participants in the Physicians' Health Study (PHS).

To investigation the association of thrombosis and inflammation genes with sub-clinical cardiovascular disease and with incident myocardial infarction and stroke in older adults.

The MAGNetic QRS-Fragmentation in Patients with Myocardial InfarcTion and Moderately RedUceD Ejection Fraction (MAGNITUDE) study will assess in MI survivors with moderately reduced left ventricular function, whether non-invasive MFI QRS Fragmentation alone or in combination with parameters derived from a Holter recording can be used to identify a group of patients at high risk for SCD/life threatening ventricular arrhythmia.