NCT06808334

Brief Summary

This is a multi-site, observational clinical study to validate the performance of the CLAiR AI software in identifying elevated atherosclerotic cardiovascular disease (ASCVD) risk from retinal (eye) images obtained from two different retinal image camera models.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
942

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Feb 2025

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 27, 2025

Completed
9 days until next milestone

First Posted

Study publicly available on registry

February 5, 2025

Completed
22 days until next milestone

Study Start

First participant enrolled

February 27, 2025

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2025

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2025

Completed
Last Updated

March 25, 2025

Status Verified

March 1, 2025

Enrollment Period

3 months

First QC Date

January 27, 2025

Last Update Submit

March 20, 2025

Conditions

Keywords

retinal imageASCVDAIcardiovascular riskadults

Outcome Measures

Primary Outcomes (1)

  • Demonstrate that CLAiR can accurately identify elevated ASCVD risk as determined by PCE score.

    Sensitivity and Specificity of CLAiR binary elevated risk classification (PCE ≥ 7.5% Y/N) against the reference standard of PCE ≥ 7.5%

    through study completion, an average of 6 months

Interventions

CLAIROTHER

Subject will have retinal images obtained and uploaded to CLAiR Software. Subjects are not directly in contact with CLAiR software. There is no medical intervention.

Eligibility Criteria

Age40 Years - 75 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Males and Females between the ages of 40-75 years of age.

You may qualify if:

  • Male or female, aged 40-75 years
  • Participants must be capable of providing informed consent, demonstrating understanding of the study details, and willingly sign a consent form or verbally confirm their consent in the presence of a witness.
  • Stated willingness to comply with all study procedures and availability for the duration of the study

You may not qualify if:

  • An individual who meets any of the following criteria will be excluded from participation in this study:
  • Known history of atherosclerotic cardiovascular disease, including stroke, heart attack, coronary artery surgery, or stenting
  • Current use of cholesterol-lowering medication, such as a statin
  • Pregnancy
  • A person who has (in at least one eye):
  • Persistent vision impairment: legally blind when wearing current driving glasses or known VA\<20/400
  • Known pathological myopia
  • Previous treatment or currently under the care for a retinal disease by a specialist (e.g., ophthalmologist)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Diabetes and Endocrine Associates of Stark County

Canton, Ohio, 44718, United States

RECRUITING

Study Officials

  • Michael McConnell, MD

    Toku Inc.

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 27, 2025

First Posted

February 5, 2025

Study Start

February 27, 2025

Primary Completion

June 1, 2025

Study Completion

October 1, 2025

Last Updated

March 25, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Locations