Literature DB >> 24930806

Gender differences in biometry prediction error and intra-ocular lens power calculation formula.

Anders Behndig1, Per Montan, Mats Lundström, Charlotta Zetterström, Maria Kugelberg.   

Abstract

PURPOSE: To analyze changes over time in biometry prediction error (BPE) after cataract surgery with special reference to the impact of gender and the intra-ocular lens (IOL) calculation formula.
METHODS: About 65% of Swedish cataract surgery units participating in the outcome registration of the National Cataract Register (NCR) were included in this prospective register study. Data for planned and postoperative refraction and keratometry during the month of March 2004-2013 were analyzed, divided by gender. The newly introduced variables axial length and IOL calculation formula were analyzed for March 2013. Gender differences in BPE with correct sign (BPESign ) and absolute biometry prediction error (BPEAbs ) were compared for the Haigis' and Sanders-Retzlaff-Kraff T (SRK/T) formulas.
RESULTS: The BPEAbs decreased throughout the study period. In 2004-2006, the BPEAbs was larger in women than in men (p < 0.05), but this difference disappeared from 2007. For 2004 through 2009, the mean BPESign was -0.105 ± 0.79D for women, but -0.003 ± 0.73D for men. After 2009, this myopic error for women gradually diminished. The Haigis' formula performed better in women than the SRK/T formula (p < 0.001); the SRK/T formula rendered a BPESign similar to that from 2004 to 2009 in women. Women had steeper corneas and shorter axial lengths than men (p < 0.001).
CONCLUSION: The myopic BPE in women - associated with steeper corneas and shorter axial lengths - is decreasing, possibly owing to an increased use of the Haigis' formula. Using the Haigis' formula to a higher extent can potentially further reduce the BPEs after cataract surgery.
© 2014 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  biometry prediction; cataract surgery; gender; intra-ocular lens calculation formula

Mesh:

Year:  2014        PMID: 24930806     DOI: 10.1111/aos.12475

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  5 in total

1.  Haigis and SRKT formulae accuracy for intentional myopic overcorrection.

Authors:  Rodrigo Faeda Dalto; Miriam A Ferreira; Wilian Queiroz; Roberto Pinto Coelho; Jayter Silva Paula; Andre Messias
Journal:  Int Ophthalmol       Date:  2017-06-21       Impact factor: 2.031

2.  Geometrical characterization of the corneo-scleral transition in normal patients with Fourier domain optical coherence tomography.

Authors:  Mar Seguí-Crespo; Miguel Ángel Ariza-Gracia; Nelva de Luisa David Sixpene; David P Piñero
Journal:  Int Ophthalmol       Date:  2019-05-07       Impact factor: 2.031

3.  Gradient Boosting Decision Tree Algorithm for the Prediction of Postoperative Intraocular Lens Position in Cataract Surgery.

Authors:  Tingyang Li; Kevin Yang; Joshua D Stein; Nambi Nallasamy
Journal:  Transl Vis Sci Technol       Date:  2020-12-21       Impact factor: 3.283

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

Authors:  Yibing Zhang; Tingyang Li; Aparna Reddy; Nambi Nallasamy
Journal:  BMC Ophthalmol       Date:  2021-04-21       Impact factor: 2.209

5.  Biometric Parameters and Corneal Astigmatism: Differences Between Male and Female Eyes.

Authors:  Maddalena De Bernardo; Lucio Zeppa; Lucia Zeppa; Palmiro Cornetta; Livio Vitiello; Nicola Rosa
Journal:  Clin Ophthalmol       Date:  2020-02-28
  5 in total

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