Validation of a Predictive Algorithm to Determine the Effectiveness of Orthokeratology for Myopia Control

Validation of a Predictive Algorithm to Determine the Effectiveness of Orthokeratology for Myopia Control

This is a prospective study to validate a predictive algorithm for identifying fast progressing myopes.

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.

Inclusion Criteria:

• -6.0D≤SER≤-0.5D
• Astigmatism≤2.0D

Exclusion Criteria:

• Contraindications of wearing Ortho-K.
• Diagnosis of strabismus, amblyopia and other refractive development of the eye or systemic diseases.
• Currently involved in other clinical studies.