Myopia
Conditions
Brief summary
This is a prospective study to validate a predictive algorithm for identifying fast progressing myopes.
Detailed 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 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.
Interventions
DEVICEOrthokeratology lenses
Orthokeratology lenses
Sponsors
Sun Yat-sen University
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
8 Years to 15 Years
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| AUROC of the prediction algorithm for identifying fast progressing myopes | 1 year | Age-specific axial length (AL) changes previously described by Wang et al.(IOVS, 52 (11), 7949-53, 2011) are used as cut-off values to determine whether a child is a fast progressor or not. A child whose AL change falls on or above the cut-off value is considered to be a fast progressor. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity and specificity of the prediction algorithm for identifying fast progressing myopes | 1 year | The investigators will estimate sensitivity and specificity of the predictive algorithm for identifying fast progressing myopes. |
| Performance of an algorithm for predicting AL | 1 year | The investigators will use mean absolute error (MAE), R square to evaluate the performance. |
| Performance of an algorithm for predicting spherical equivalent refractive error | 1 year | The investigators will use mean absolute error (MAE), R square to evaluate the performance. |
Countries
China
Contacts
Primary ContactYingfeng Zheng, M.D. Ph.D.
Outcome results
None listed