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An evaluation of two candidate functional biomarkers for AMD
Claire McKeague1, Alison M Binns, Tom H Margrain
1*BSc(Hons) †PhD, BSc(Hons) School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales (CMc, THM), and School of Health Sciences, City University London, London, England (AMB), United Kingdom.
The Colour Assessment and Diagnosis (CAD) test and 14-Hz flicker test show good repeatability for healthy adults. These tests can serve as biomarkers for age-related macular degeneration (AMD), but training is needed to minimize learning effects.
Area of Science:
- Ophthalmology
- Visual Science
- Biomarker Research
Background:
- Age-related macular degeneration (AMD) is a leading cause of vision loss.
- Early detection and monitoring of AMD are crucial for effective management.
- Functional biomarkers are needed to assess visual function changes in AMD.
Purpose of the Study:
- To assess the intersession repeatability of the Colour Assessment and Diagnosis (CAD) test and a 14-Hz flicker test.
- To establish benchmark data for these tests in healthy individuals.
- To evaluate their potential as functional biomarkers for AMD.
Main Methods:
- 30 healthy adults underwent visual function testing using CAD and 14-Hz flicker tests on two separate days.
- Intersession repeatability was determined by calculating the coefficient of repeatability (CoR).
- RG and YB CAD thresholds and 14-Hz flicker contrast thresholds were measured.
Main Results:
- Coefficients of repeatability (CoR) were calculated: 0.39 CAD units for RG, 0.43 CAD units for YB, and 0.015 for 14-Hz flicker.
- Small but consistent learning effects were observed between visits (4.72% RG, 6.33% YB, 13.3% 14-Hz flicker).
- The CoR values were relatively small compared to the mean thresholds, indicating good repeatability.
Conclusions:
- The CAD and 14-Hz flicker tests demonstrate acceptable repeatability in healthy adults.
- These tests provide valuable data for assessing clinical significance in repeated measures.
- Sufficient training is recommended in clinical trials to mitigate learning effects.
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