Establishment of Myopia Occurrence Prediction Model in Children without Myopia Using Cycloplegic Refraction and Prior

Shengsong Xu1, Zhenbang Ruan1, Yanbin Wang1

  • 1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.

Ophthalmology
|June 14, 2025
PubMed

Insights

This study developed a myopia prediction model using baseline refraction and axial length changes in children. The model accurately predicts myopia onset and helps define pre-myopia criteria for early intervention.

Area of Science:

  • Ophthalmology
  • Pediatric Ophthalmology
  • Biostatistics

Background:

  • Myopia onset prediction is crucial for identifying pre-myopia.
  • Early identification allows for timely intervention to prevent high myopia.

Purpose of the Study:

  • To develop and validate a myopia occurrence prediction model.
  • To investigate potential pre-myopia criteria using established models.

Main Methods:

  • A 5-year prospective study involving 4,437 children aged 6-9 years.
  • Collected data included cycloplegic spherical equivalent refraction (SER) and axial length (AL) measurements.
  • Developed a prediction model incorporating baseline SER, 1-year AL change, sex, and parental myopia history.

Main Results:

  • Baseline SER and prior AL change demonstrated strong predictive value for myopia onset.
  • The final model showed excellent calibration and discrimination (AUCs 0.877-0.941) for 1- to 4-year predictions.
  • Established SER thresholds for defining pre-myopia risk, integrated into an online risk calculator.

Conclusions:

  • A validated myopia prediction model was developed using cycloplegic refraction and axial length changes.
  • Potential SER thresholds for pre-myopia definition were established.
  • Further validation in diverse populations is recommended.
Abstract