Validation of a Predictive Algorithm to Determine the Effectiveness of Orthokeratology for Myopia Control
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Myopia
- Type
- Observational
- Design
- Observational Model: Case-OnlyTime Perspective: Prospective
Participation Requirements
- Age
- Between 8 years and 15 years
- Gender
- Both males and females
Description
Orthokeratology (ortho-K) has been demonstrated to slow myopic progression and reduce axial elongation in young patients, but this treatment is limited by the need for contact lens wear, which is the common cause for keratitis in children, and therefore cautious use is recommended. There is a need t...
Orthokeratology (ortho-K) has been demonstrated to slow myopic progression and reduce axial elongation in young patients, but this treatment is limited by the need for contact lens wear, which is the common cause for keratitis in children, and therefore cautious use is recommended. There is a need to identify the patients that could benefit most from this treatment. In order to do so, we conduct a retrospective study and create a large database (n = 10,000) of de-identified data to train an algorithm for identifying fast progressing myopes. In addition, we will perform a prospective study to validate this predictive algorithm and determine the effectiveness of Orthokeratology among different individual patients in China.
Tracking Information
- NCT #
- NCT04275635
- Collaborators
- Not Provided
- Investigators
- Not Provided