Gender differences in refraction prediction error of five formulas for cataract surgery

Area of Science:

• Ophthalmology
• Biomedical Engineering

Background:

• Accurate intraocular lens (IOL) power calculation is crucial for successful cataract surgery outcomes.
• Existing IOL formulas may not fully account for demographic variations influencing biometric measurements.

Purpose of the Study:

• To investigate potential gender-based differences in optical biometry measurements.
• To assess the impact of these differences on IOL power calculations and refractive prediction errors.

Main Methods:

• Retrospective analysis of 8,431 eyes from 5,519 patients undergoing cataract surgery.
• Data collected included age, gender, optical biometry, postoperative refraction, and IOL power.
• Analysis utilized the Sight Outcomes Research Collaborative (SOURCE) database.

Main Results:

• Significant gender differences were observed in all optical biometry measures.
• Modern IOL formulas exhibited gender-specific prediction errors, with males tending towards hyperopic and females towards myopic outcomes.
• Gender-specific optimization of lens constants reduced prediction errors for 2 of 5 tested formulas.

Conclusions:

• Gender is an independent predictor of refractive prediction error in IOL power calculations.
• Tailoring IOL constants based on gender can improve refractive accuracy in specific modern IOL formulas.