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MacuTest Website for Personalized AMD Risk Prediction and Prevention

NCT05675917 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2024-02-12

No results posted yet for this study

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

Conditions

  • Macular Degeneration

Interventions

DEVICE

MacuTest platform

The MacuTest platform will be used to collect the data needed to predict AMD risk. AMD risk prediction is evaluated by a mathematical algorithm based on the data collected and integrated into the platform. The ophthalmologist will fill in the ophthalmologist questionnaire in the platform with data on the fundus and blood pressure, after examining the patient. The patient will fill in the lifestyle questionnaires (nutrition, smoking, gender, year of birth, level of education) with his personal equipment (computer, smartphone or tablet).

Sponsors & Collaborators

  • University of Bordeaux

    collaborator OTHER

  • University Hospital, Bordeaux

    lead OTHER

Study Design

Allocation
NA
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-02-02
Primary Completion
2024-02-02
Completion
2024-02-02

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05675917 on ClinicalTrials.gov