This is a prospective study to validate an algorithm for predicting the effect of orthokeratology on myopia progression in children from 8 hospitals in China.
Orthokeratology (ortho-K) is thought to be an effective way to control the progression of Myopia in children, but its effectiveness may vary among different individuals. The investigators therefore conducted a prospective, multi-center study to use an algorithm to predict the progression of myopia among Chinese children wearing Orthokeratology lenses.
Study Type
OBSERVATIONAL
Enrollment
1,000
Orthokeratology lenses
Hefei Bright Eye Hospital
Hefei, Anhui, China
RECRUITINGZhongshan Ophthalmic Center (Haizhu Branch), Sun Yat-sen University
Guangzhou, Guangdong, China
RECRUITINGWuhan Bright Eye hospital
Wuhan, Hubei, China
AUROC of the prediction algorithm for identifying fast progressing myopes
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.
Time frame: 1 year
Sensitivity and specificity of the prediction algorithm for identifying fast progressing myopes
The investigators will estimate sensitivity and specificity of the predictive algorithm for identifying fast progressing myopes.
Time frame: 1 year
Performance of an algorithm for predicting AL
The investigators will use mean absolute error (MAE), R square to evaluate the performance.
Time frame: 1 year
Performance of an algorithm for predicting spherical equivalent refractive error
The investigators will use mean absolute error (MAE), R square to evaluate the performance.
Time frame: 1 year
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Nanchang Bright Eye Hospital
Nanchang, Jiangxi, China
RECRUITINGJinan Bright Eye Hospital
Jinan, Shandong, China
RECRUITINGShanghai Bright Eye Hospital
Shanghai, Shanghai Municipality, China
RECRUITINGChengdu Bright Eye Hospital
Chengdu, Sichuan, China
RECRUITINGKunming Bright Eye hospital
Kunming, Yunnan, China
RECRUITING