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A multivariate analysis and statistical model for predicting visual acuity and keratometry one year after
Robert P L Wisse1, Daniël A Godefrooij1, Nienke Soeters1
1Utrecht Cornea Research Group, Department of Ophthalmology, University Medical Center Utrecht, Utrecht, Netherlands.
American Journal of Ophthalmology
|November 12, 2013
Summary
Predicting outcomes after corneal cross-linking (CXL) for keratoconus is possible. Pretreatment visual acuity accurately predicts post-CXL visual outcomes, while cone eccentricity influences corneal curvature changes.
Area of Science:
- Ophthalmology
- Corneal Surgery
- Vision Science
Background:
- Keratoconus is a progressive corneal ectasia.
- Corneal cross-linking (CXL) is a standard treatment for keratoconus.
- Predicting treatment outcomes is crucial for patient management.
Purpose of the Study:
- To identify prognostic factors for visual acuity and keratometry one year after CXL for keratoconus.
- To develop predictive models for CXL outcomes.
Main Methods:
- Prospective cohort study of 102 eyes with keratoconus treated with CXL.
- Analysis of baseline parameters to predict corrected distance visual acuity (CDVA) and maximum keratometry (Kmax) at 1-year follow-up.
- Univariable and multivariable regression analyses were employed.
Main Results:
- Cone eccentricity was a significant predictor of Kmax outcome (P = .02).
- Pretreatment visual acuity accurately predicted posttreatment visual acuity (R² = 0.45), with lower baseline acuity predicting improvement.
- Age, sex, and baseline Kmax were not independent predictors. Smoking and family history did not impact outcomes.
Conclusions:
- Cone eccentricity influences corneal curvature changes after CXL.
- Pretreatment visual acuity is a reliable predictor of visual outcomes following CXL.
- The role of age, sex, and baseline Kmax as independent predictors remains debated.
