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Risk prediction model for cataract after vitrectomy surgery: a 2-year study on primary rhegmatogenous retinal
Di Gong1, Da-Hui Ma1,2, Qing Zhang3
1Shenzhen Eye Hospital, Shenzhen Eye Medical Center, Southern Medical University, Shenzhen 518040, Guangdong Province, China.
International Journal of Ophthalmology
|October 29, 2025
Summary
A new risk prediction model identifies hypertension history, silicone oil use, and lens thickness as key factors for secondary cataract after pars plana vitrectomy (PPV) for retinal detachment. This tool aids early identification of high-risk patients.
Area of Science:
- Ophthalmology
- Surgical Outcomes
- Predictive Modeling
Background:
- Secondary cataract is a common complication following pars plana vitrectomy (PPV) for primary rhegmatogenous retinal detachment (RRD).
- Accurate risk stratification is crucial for patient management and optimizing surgical outcomes.
Purpose of the Study:
- To develop and validate a predictive model for secondary cataract development within two years post-PPV in RRD patients.
- To identify independent risk factors associated with secondary cataract formation.
Main Methods:
- Retrospective analysis of clinical data from 386 patients with primary RRD undergoing PPV.
- Multivariate logistic regression to identify risk factors, including patient and surgical characteristics.
- Evaluation of the prediction model using ROC curves, AUC, calibration, and decision curve analysis.
Main Results:
- 41.39% of patients developed secondary cataract within two years.
- Independent risk factors identified: history of hypertension (OR=1.78), silicone oil tamponade (OR=3.67), and increased lens thickness (OR=1.98).
- The nomogram achieved an AUC of 0.6974, with good calibration and clinical utility.
Conclusions:
- A prediction model incorporating hypertension, vitreous substitute, and lens thickness demonstrates moderate discriminative ability for secondary cataract post-PPV.
- This model can assist clinicians in identifying at-risk individuals for timely intervention.
- Early identification may lead to improved patient outcomes in RRD management.
