Coronary Artery Disease Clinical Trial
Official title:
Biomarkers and Cardiac Computed Tomography: Relationship Between Cardiovascular Biomarkers and Coronary Artery Disease in Patients Undergoing Cardiac Computed Tomography
Coronary artery disease (CAD) is the leading cause of morbidity and mortality in developed
countries. In addition, many patients suffer from valvular and aortic disease. Although
various tools are available to identify patients with cardiovascular (CV) disease at risk
for major adverse cardiac events (MACE), the identification of these patients remains a
clinical challenge.
One promising avenue is the use of different serum biomarkers involved in atherothrombosis
which could provide an easy and cost-effective step in risk stratification.
Status | Recruiting |
Enrollment | 5000 |
Est. completion date | December 2029 |
Est. primary completion date | December 2029 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients referred from the Cardiology clinic for routine CCTA. Exclusion Criteria: - Pregnancy - Severe renal insufficiency - Severe allergy to contrast medium - Inability to obtain informed consent - Age below 18 years |
Country | Name | City | State |
---|---|---|---|
Netherlands | Maastricht University Medical Center | Maastricht | Limburg |
Lead Sponsor | Collaborator |
---|---|
Maastricht University Medical Center |
Netherlands,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Data registration of patients undergoing CCTA and given written informed consent. | 15 years. | ||
Primary | To detect these patients for cardiovascular disease and Long term CV outcome (MACE). | 15 years. | ||
Secondary | The relationship of novel blood biomarkers with CCTA findings. | 15 years. | ||
Secondary | The predictive value of these biomarkers to predict CAD in patients undergoing CCTA. | 15 years. | ||
Secondary | The prognostic value of these biomarkers (in combination) to predict MACE. | 15 years. |
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