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Maastricht Biomarker CT Study

Maastricht University Medical Centre (MUMC) logo

Maastricht University Medical Centre (MUMC)

Status

Completed

Conditions

Coronary Artery Disease
Coronary Stenosis

Study type

Observational

Funder types

Other

Identifiers

NCT01671930
MEC 08-4-057

Details and patient eligibility

About

Introduction

Cardiovascular disease is the leading cause of death in the Western world. The main cause for cardiovascular events is the development of atherosclerosis in the coronary arteries. In more than 70% of cases, myocardial infarctions are caused by atherosclerotic plaque rupture, which results in subsequent formation of an occluding thrombus. Plaques that have a high risk of rupture are called vulnerable plaques. Cardiovascular imaging provides a complementary diagnostic approach in the assessment of cardiovascular risk in patients. However, the lack of biological detection possibilities of current imaging technologies limits their predictive value. For instance, multi detector computed tomography (MDCT) is an excellent tool to visualize coronary atherosclerosis. However, individual risk assessment is still problematic. Which of the diagnosed atherosclerotic plaques will undergo plaque rupture and lead to acute vascular events is currently hard to predict. Potentially, serum biomarkers could help identify the patient at risk. A wide variety of prognostic markers related to atherosclerosis have been identified in the past to predict for cardiovascular events. Nevertheless, their predictive value in individual patients is still limited. A difficulty in serum biomarker research is the requirement of large patient cohorts to study the relation between event rate and serum biomarker levels. The necessity to perform lengthy and costly studies, hinders the translation of novel cardiovascular serum biomarkers into the clinic. An alternative approach could be to study the correlation between levels of serum biomarkers and the presence of atherosclerosis in the coronary arteries.

Study objectives

Primary objective of the present analysis is to investigate the predictive value of a variety of serum biomarkers to predict atherosclerosis in the coronary tree of patients undergoing cardiac MDCT.

Design and Methods

Patients undergoing cardiac MDCT are eligible for the study. Excluded are patients with acute coronary syndrome, hemodynamic instability, pregnancy, severe renal insufficiency, allergy for contrast medium and inability to obtain informed consent. Permission to store the serum samples for future analysis of new prognostic markers for cardiovascular events will be acquired from the patients. Written information is send to the patient at least 1 week prior to CT. The samples will be stored coded, at the Biobank Maastricht, for a maximum duration of 15 years. Once measurements from the samples will be performed, the serum samples will be sent by the Biobank coded to the analyzing researchers, which have no access to the key file where codes are linked to the specific hospital identity number. This file will be stored by an independent researcher at the Cardiology department of the Maastricht University Medical Center. The assessment of atherosclerotic burden of the coronary tree will be performed by cardiac MDCT specialists blinded to the clinical data and serum biomarker outcome. Biomarker levels are correlated to the severity and amount of coronary artery disease as assessed by cardiac MDCT.

Enrollment

5,000 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • patients refered to cardiac computed tomography to exclude coronary artery disease

Exclusion criteria

  • pregnancy
  • severe renal insufficiency
  • severe allergy to contrast medium
  • Inability to obtain informed consent
  • Age below 18 years

Trial design

5,000 participants in 1 patient group

cardiac computed tomographic angiography
Description:
Patients refered for cardiac computed tomographic angiography by a cardiologist.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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