Postoperative Axial Length Prediction Model in Children With Congenital Cataract and Intraocular Lens Implantation
Purpose: To develop a prediction model for postoperative axial length (AL) in Asian children with congenital cataracts undergoing primary/secondary intraocular lens (IOL) implantation.
Design: Retrospective observational study.
Methods: Data were collected from children who underwent cataract surgery for congenital cataracts at the Eye Hospital of Wenzhou Medical University between 2006 and 2020. All participants completed preoperative and at least 1‐year of postoperative follow‐up. SPSS 26.0 software was used to analyze the variable factors affecting AL growth and the interactions among these factors. A generalized estimating equation (GEE) was employed to assess the correlation between the AL and related univariates over time. The univariate model was applied to build a multivariate model to predict the postoperative AL. Two validation sets were used to verify the accuracy of the formula.
Results: The study involved 86 children, accounting for 148 eyes. The median age at the time of surgery was 3.00 years, with a median age of 9.50 years at the final follow‐up visit. The median duration of follow‐up was 5.00 years. The preoperative and final follow‐up mean ALs were 21.79 ± 1.77 and 23.36 ± 1.90 mm, respectively. Taking the predicted AL (Y) as the dependent variable and the age at surgery (X1), age at review (X2), and preoperative AL (X3) as the independent variables, the prediction model was established as Y = 0.20 − 0.473 × X1 + 0.446 × X2 + 0.993 × X3 − 0.014 × (X2 − X1)∗X2.
Conclusions: This model predicts AL growth in children following congenital cataract surgery and IOL implantation, helping ophthalmologists select appropriate IOL power.
