Predicting the risk of glaucoma-related adverse events following secondary intraocular lens implantation in paediatric eyes: a 3-year study.

AIMS

To establish and evaluate predictive models for glaucoma-related adverse events (GRAEs) following secondary intraocular lens (IOL) implantation in paediatric eyes.

METHODS

205 children (356 aphakic eyes) receiving secondary IOL implantation at Zhongshan Ophthalmic Center with a 3-year follow-up were enrolled. Cox proportional hazard model was used to identify predictors of GRAEs and developed nomograms. Model performance was evaluated with time-dependent receiver operating characteristic (ROC) curves, decision curve analysis, Kaplan-Meier curves and validated internally through C-statistics and calibration plot of the bootstrap samples.

RESULTS

Older age at secondary IOL implantation (HR=1.5, 95%

CI

1.03 to 2.19), transient intraocular hypertension (HR=9.06, 95%

CI

2.97 to 27.67) and ciliary sulcus implantation (HR=14.55, 95%

CI

2.11 to 100.57) were identified as risk factors for GRAEs (all p<0.05). Two nomograms were established. At postoperatively 1, 2 and 3 years, model 1 achieved area under the ROC curves (AUCs) of 0.747 (95%

CI

0.776 to 0.935), 0.765 (95%

CI

0.804 to 0.936) and 0.748 (95%

CI

0.736 to 0.918), and the AUCs of model 2 were 0.881 (95%

CI

0.836 to 0.926), 0.895 (95%

CI

0.852 to 0.938) and 0.848 (95%

CI

0.752 to 0.945). Both models demonstrated fine clinical net benefit and performance in the interval validation. The Kaplan-Meier curves showing two distinct risk groups were well discriminated and robust in both models. An online risk calculator was constructed.

CONCLUSION

Two nomograms could sensitively and accurately identify children at high risk of GRAEs after secondary IOL implantation to help early identification and timely intervention.