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Not Yet Recruiting NCT05675917

MacuTest Website for Personalized AMD Risk Prediction and Prevention

Conditions: Macular Degeneration

Sex: All
Ages: 65 Years – N/A
Healthy volunteers: 1
Phase: NA
Enrollment: 40
Sponsor: University Hospital, Bordeaux

Location: France

Summary

LEHA team of Bordeaux University has developed an Age-related Macular Degeneration (AMD) prediction algorithm (taking into account age, 49 genetic variants, the presence of early retinal abnormalities, tobacco consumption, food quality, blood pressure and education level) and is currently developing the MacuTest website, integrating this prediction algorithm. This platform offers participants the possibility to enter their personal lifestyle data, to couple them with an ophthalmological examination and a genetic test, in order to evaluate their personalized risk of AMD. The main objective of this pilot study is to evaluate the feasibility of estimating the predicted AMD risk

Eligibility Criteria

Inclusion Criteria:Patients aged 65 years and older of European geographic originPresence of early signs of AMD (drusen and/or pigment abnormalities) and/or parents with advanced AMD.Absence of any advanced form of AMD (atrophic or neovascular AMD).Patient who can read, understand and speak French.Patient with access to the MacuTest internet platform throughout the study (telephone, tablet, computer).Patient with the ability and willingness to carry out all planned visits and assessments.Patient with health insurance.Signed informed consent.Exclusion Criteria:Presence of a severe ocular pathology that prevents an examination of the fundus.Patient with a history of a medical condition that, in the opinion of the investigator, would prevent the completion of scheduled study visits and completion of the study.Adult under legal protection or residing in a health or social institution.

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT05675917). StuddyBuddy aggregates publicly available trial information.