Abstract

ObjectivesTo evaluate gender differences in optical biometry measurements and lens power calculations.MethodsEight thousand four hundred thirty-one eyes of five thousand five hundred nineteen patients who underwent cataract surgery at University of Michigan’s Kellogg Eye Center were included in this retrospective study. Data including age, gender, optical biometry, postoperative refraction, implanted intraocular lens (IOL) power, and IOL formula refraction predictions were gathered and/or calculated utilizing the Sight Outcomes Research Collaborative (SOURCE) database and analyzed.ResultsThere was a statistical difference between every optical biometry measure between genders. Despite lens constant optimization, mean signed prediction errors (SPEs) of modern IOL formulas differed significantly between genders, with predictions skewed more hyperopic for males and myopic for females for all 5 of the modern IOL formulas tested. Optimization of lens constants by gender significantly decreased prediction error for 2 of the 5 modern IOL formulas tested.ConclusionsGender was found to be an independent predictor of refraction prediction error for all 5 formulas studied. Optimization of lens constants by gender can decrease refraction prediction error for certain modern IOL formulas.

Highlights

  • IntroductionAccurate measurement of ocular biometry and calculation of intraocular lens (IOL) implant power is crucial to achieving satisfactory postoperative refractive results

  • Cataract surgery is the most frequently performed surgery in the world

  • We examine the potential effects of optimization of lens constants by gender to address disparities in refractive prediction errors with modern intraocular lens (IOL) formulas

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Summary

Introduction

Accurate measurement of ocular biometry and calculation of intraocular lens (IOL) implant power is crucial to achieving satisfactory postoperative refractive results. Important factors affecting the calculation of intraocular lens power are axial length (AL), anterior chamber depth (ACD) and keratometry (K). Gender differences in ocular biometry have been demonstrated by previous studies [1,2,3,4,5], with women on average having steeper corneas and shorter axial lengths than men. The finding that gender can play a role in biometry prediction error and intraocular lens power calculation is controversial [6,7,8]. While previous studies have indicated a relationship between gender and the prediction error (PE) of modern IOL formulas, questions remain

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