Factors predicting regression of visual acuity following successful treatment of anisometropic amblyopia

Yu Jia1,2, Jing Liu1, Qingqing Ye1

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

Frontiers in Medicine
|November 17, 2022
PubMed

Insights

Early treatment and good visual response in children with anisometropic amblyopia reduce regression risk. Younger age and female sex are linked to better long-term outcomes in vision therapy.

Area of Science:

  • Ophthalmology
  • Pediatric Medicine
  • Clinical Research

Background:

  • Anisometropic amblyopia is a common cause of reduced vision in children.
  • Successful treatment is often followed by visual acuity regression.
  • Identifying factors predicting regression is crucial for long-term visual outcomes.

Purpose of the Study:

  • To identify factors associated with visual acuity regression after successful anisometropic amblyopia treatment.
  • To determine predictors of increased risk for treatment regression.

Main Methods:

  • Retrospective cohort study analyzing records of 161 children with anisometropic amblyopia.
  • Children met successful treatment criteria (Pediatric Eye Disease Investigator Group) with at least 1 year follow-up.
  • Least absolute shrinkage and selection operator (LASSO) and logistic regression analyses were used.

Main Results:

  • 42.5% of children experienced regression within 1 year of successful treatment.
  • Key predictors of regression included: visual acuity improvement in the amblyopic eye, age at first visit, and sex.
  • Lower regression risk was associated with greater visual acuity improvement, younger age at treatment initiation, and female sex.

Conclusions:

  • Younger age at treatment and a strong response to treatment are associated with lower regression risk.
  • Early detection and strategies to enhance treatment adherence may prevent regression.
  • Observed sex differences in regression risk may relate to developmental or environmental factors.
Abstract