Coronary Artery Disease
Conditions
Brief summary
The purpose of this study is to develop new approaches for screening astronauts for cardiovascular risk during deep space missions.
Detailed description
The purpose of this study is to develop new approaches for screening astronauts for cardiovascular risk during deep space missions. In this protocol, two different forms of imaging will be used to evaluate coronary plaque development (CT coronary angiography) and microvascular function (myocardial contrast echocardiography) to stratify CV risk. Based on this stratification, omic patterns (targeted metabolomics, lipidomic, and whole genome sequencing) will be assessed to determine whether there are any patterns that can add to existing predictive models. Outcomes measures will involve correlation of omic patterns to incremental risk scaling from lowest (no plaque and normal endothelial function) to highest (+ plaque and endothelial dysfunction).
Interventions
PROCEDUREMyocardial contrast echocardiography
Myocardial contrast echocardiography will be performed to further stratify risk as described in the cohort section.
Sponsors
Oregon Health and Science University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
35 Years to 55 Years
Healthy volunteers
No
Inclusion criteria
* Patients referred for clinically indicated CT coronary angiography within 6 months * No obstructive coronary plaque and an Agatston score of 0 or At least one obstructive coronary plaque \<50% diameter and one other high risk feature on CT-A (positive remodeling, scattered calcification, low Hounsfield units, or napkin ring sign.
Exclusion criteria
* Known CAD or other atherosclerotic disease * Valvular heart disease (moderate or more) and congenital heart disease * Heart failure * Pregnancy * Allergy to ultrasound contrast agent. * Right to left shunt
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Omic patterns of atherosclerosis | 2 weeks | In this study, outcomes are essentially pre-determined by the patient population according to imaging stratification. Omic patterns of will be assessed by advanced informatics modeling (Random Forest analysis) to determine metabolomic, genomic, and lipidomic patterns that vary according to incremental risk scaling from lowest (no plaque and normal endothelial function) to highest (+ plaque and endothelial dysfunction). |
Countries
United States
Outcome results
None listed