December 2002
Volume 43, Issue 13
Free
ARVO Annual Meeting Abstract  |   December 2002
Individualization of IOL Power Prediction for Triple Procedure in Fuchs' Dystrophy Using Multiple Regression Analysis
Author Affiliations & Notes
  • A Viestenz
    Ophthalmology University Erlangen-Nurnberg Erlangen Germany
  • B Seitz
    Ophthalmology University Erlangen-Nurnberg Erlangen Germany
  • A Langenbucher
    Ophthalmology University Erlangen-Nurnberg Erlangen Germany
  • Footnotes
    Commercial Relationships   A. Viestenz, None; B. Seitz, None; A. Langenbucher, None.
Investigative Ophthalmology & Visual Science December 2002, Vol.43, 439. doi:
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      A Viestenz, B Seitz, A Langenbucher; Individualization of IOL Power Prediction for Triple Procedure in Fuchs' Dystrophy Using Multiple Regression Analysis . Invest. Ophthalmol. Vis. Sci. 2002;43(13):439.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Abstract: : Purpose: To develop a regressive correcting term for IOL power prediction for penetrating keratoplasty combined with simultaneous extracapsular cataract extraction and posterior chamber lens implantation (triple procedure) in Fuchs’ dystrophy. Methods: As part of a prospective, randomized, cross-sectional, clinical study triple-procedures in 48 eyes with preoperative available K-readings, donor/recipient diameters of 7.6/7.5mm (trephination from the epithelial side) and a double running diagonal suture operated by one surgeon were included. After complete suture removal deviation between achieved and intended refraction (DEV) was assessed in relation to corneal power (CP), axial length (AL), target refraction (TR) and predicted IOL power (IOLP) as calculated with the theoretical-optical formula according to HAIGIS using multiple regression analysis: DEV=a+b*CP+c*AL+d*TR+e*IOLP. Results: Using a linear ANOVA model a multiple regression formula can be developed for individual correction of conventionally calculated IOL power. In the present setting CP (b=0.302, p=0.002) and TR (d=-0.235, p=0.004) correlated significantly with DEV, whereas AL (c=-0.12, p=0.16) and IOLP (e=0.23, p=0.41) did not. Conclusion: Individualization of IOL power prediction can be achieved by using personal regression values in eyes with available preoperative K-readings for a given surgeon. Applying a multiple regression formula to correct the conventionally calculated IOL power may help to improve the postoperative refractive outcome after complete suture removal in patients with triple procedure in Fuchs’ dystrophy.

Keywords: 542 refraction • 338 cataract • 607 transplantation 
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