Validation of a Regression Model for Predicting Refractive Outcomes Post-Cataract Surgery in Pterygium-Affected Eyes
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By
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Keiji Sato
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Ayaka Kawamatsu
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Shinya Takahashi
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Eri Ishikawa
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Yasuhito Ikeda
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Toru Kawanobe
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Shingo Noda
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Yuichiro Tanaka
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Tadahiko Kozawa
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March 26, 2026
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Clinical Scorecard: Validation of a Regression Model for Predicting Refractive Outcomes Post-Cataract Surgery in Pterygium-Affected Eyes
At a Glance
| Category | Detail |
|---|
| Condition | Pterygium |
| Key Mechanisms | Fibrovascular overgrowth affecting corneal curvature and inducing astigmatism. |
| Target Population | Patients undergoing staged cataract surgery after pterygium excision. |
| Care Setting | Ophthalmology clinics performing cataract and pterygium surgeries. |
Key Highlights
- Regression-based K estimation showed comparable refractive performance to postoperative keratometry.
- Significant differences were found among four keratometric methods for mean K and refractive error.
- Preoperative corneal characteristics may influence refractive predictability.
- A staged approach is generally recommended for optimal outcomes.
- Sensitivity analyses confirmed findings excluding toric IOL cases.
Guideline-Based Recommendations
Diagnosis
- Assess corneal shape and astigmatism in patients with pterygium.
Management
- Consider staged cataract surgery after pterygium excision to allow corneal stabilization.
Monitoring & Follow-up
- Evaluate postoperative refractive outcomes one month after cataract surgery.
Risks
- Unintended myopic outcomes may occur if surgeries are performed simultaneously.
Patient & Prescribing Data
Unilateral pterygium-affected eyes undergoing cataract surgery.
Use regression models for IOL power calculation when postoperative K values are unavailable.
Clinical Best Practices
- Perform pterygium excision prior to cataract surgery for better refractive outcomes.
- Utilize the Barrett Universal II formula for IOL power calculation.
- Conduct thorough preoperative assessments of corneal parameters.
References
