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Clinical Trials/NCT05624255
NCT05624255
Completed
Not Applicable

Correlating the Measure of Retinal Vascular Density Through Angio-OCT with Calcium Score

Centre Hospitalier Universitaire de Besancon1 site in 1 country101 target enrollmentDecember 15, 2022

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Cardiovascular Abnormalities
Sponsor
Centre Hospitalier Universitaire de Besancon
Enrollment
101
Locations
1
Primary Endpoint
Correlation between retinal vascular density and calcium score
Status
Completed
Last Updated
last year

Overview

Brief Summary

Recent case-control studies have proven that the retinal vascularization mirrors the cardiac vascularization: more the coronary network is altered, more the density of retinal vessels is reduced. No studies have yet been realised in primary prevention. This study aims to demonstrate a link between the density of the retinal vascularization and the calcium score, which is currently the gold standard for the classification of cardiovascular risk in primary prevention. Thus, a simple image of the retinal vascularization could predict the cardiovascular risk of a patient. OCT angiography would become a major aid in the classification of cardiovascular risk in asymptomatic patients.

Registry
clinicaltrials.gov
Start Date
December 15, 2022
End Date
March 16, 2023
Last Updated
last year
Study Type
Interventional
Study Design
Single Group
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Patients eligible for a calcium score as part of their standard treatment and volunteers for an ophthalmologic consultation

Exclusion Criteria

  • Pregnant women

Outcomes

Primary Outcomes

Correlation between retinal vascular density and calcium score

Time Frame: Day 1

Comparison between values of calcium score and presence of vascular abnormalities in retina. Calcium is scored as follows: * Coronary Artery Calcium \[CAC\] = 0 : very low risk * CAC = \[1-100\[ : low risk * CAC = \[100-400\[ : moderate risque * CAC = \[400-1000\[ : high risk * CAC = \> 1000 : very high risk

Study Sites (1)

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