Stroke Clinical Trial
Official title:
Optimising Risk Assessment With CT-angiography or Calcium Score in Patients at High Risk for a Cardiovascular Event
After having had a first cardiovascular event, there is a considerable risk of developing a subsequent event. Only recently, a risk prediction model was developed for this group of patients. Imaging techniques such as the coronary artery calcium score and contrast-enhanced computed tomography (CT) of the coronary and carotid arteries could be able to add improve this model. Imaging may further improve the prediction of future manifestations of arterial disease and personalize disease monitoring and treatment.
Patients with a prior cardiovascular event exhibit an elevated risk for subsequent
cardiovascular events. The Second Manifestation of Arterial Disease Study (SMART) has
recruited over 10,000 patients since 1996 with clinically manifest cardiovascular disease in
a multidisciplinary single center study involving primary care physicians, cardiologists,
neurologists, vascular surgeons, vascular medicine specialists and radiologists. Within this
study a prediction model was developed to accurately estimate the risk for new
cardiovascular events. It is now possible to acquire high-quality motion-free computed
tomography (CT) images of the coronary and carotid arteries. Imaging biomarkers extracted
from these images may further improve the prediction of future manifestations of arterial
disease and personalize disease monitoring and medical care.
The SMART-ORACLE study is a prospective, single center, observational cohort study aiming to
include 1500 patients. The primary aim is to identify predictors of future cardiovascular
events. Eligible patients will be selected via the recruitment of the original SMART study.
Patients participating in the SMART-ORACLE study will undergo calcium scoring in multiple
cardiovascular beds and contrast-enhanced CT-scans of the coronary and carotid arteries in
addition to the regular SMART investigations. Patients with renal dysfunction will be either
excluded from the study or will receive pre-hydration (depending on eGFR) to minimize the
risk of contrast nephropathy. Follow-up with questionnaire-based assessment will take place
every 26 weeks until death of participant or end of the SMART study, asking participants
about possible new cardiovascular events. Endpoints will be adjudicated by a committee of
three experts. The aim is to collect 170 future events.
The main analysis will consist of Cox proportional hazard analysis. Imaging biomarkers will
be added to the existing prediction model to assess their (independent) discriminatory
capacity for future events. The c-statistic will be used to measure the discrimination of
each model. Net reclassification improvement tables will be constructed to evaluate the
added value of imaging markers in terms of reclassification. Based on a one-year-occurrence
rate of subsequent cardiovascular events in the current SMART population database of 2.6%,
about 6500 person years of follow-up are needed to obtain the adequate number of endpoints.
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Observational Model: Cohort, Time Perspective: Prospective
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