Baseline Corneal Tomographic Parameters For Predicting Progression Of Keratoconus
Published 2024
- 42nd Congress of the ESCRS
Reference: PO808
| Type: Poster
| DOI:
10.82333/nadt-w927
Authors:
Onur Ozalp* 1
, Metehan Karaatli 1
, Nilgun Yildirim 1
, Eray Atalay 1
1Department of Ophthalmology,Eskisehir Osmangazi University, Faculty of Medicine,Eskişehir,Türkiye
Purpose
Currently, there is no consensus regarding the definition of keratoconus (KC) progression based on clinical metrics. We aimed to evaluate baseline corneal tomographic parameters that will predict progression in KC patients progressing according to conventional metrics and Belin ABCD Progression Display (BAPD).
Setting
Eskişehir Osmangazi University, Eskişehir, Turkey.
Methods
This retrospective study included individuals aged 18 – 35 years, with a minimum follow-up duration of one year and at least three Pentacam visits (Oculus, Inc). Progression of KC was defined as an increase of ≥1 diopter for maximum keratometry (Kmax) and a reduction of ≥2% in minimum and apex pachymetry (Pachy min and apex). On the BAPD, the red gate was used to determine progression (variability in any A, B, and C parameters ≥95% CI or any 2 parameters ≥80% CI). The baseline tomographic parameters linked to progression were identified using logistic regression models adjusted for age and disease stage.
Results
Two hundred seventy-seven eyes of 155 patients were included. The progression detection rates were 57% for BAPD, 41.2% for Pachy min, 40.1% for Pachy apex, and 27.4% for Kmax criteria, respectively. Index of vertical asymmetry (IVA, OR: 3.01, p=0.031), astigmatism (OR: 1.17, p=0.028), and posterior radius of curvature (PRC, OR: 0.13, p=0.006) were predictors of progression according to Kmax criteria. The mean keratometry of the posterior corneal surface (Km B, OR: 0.59, p=0.047) was marginally statistically significant as a predictor based on Pachy apex criteria. There was no predictive parameter for progression according to BAPD and Pachy min criteria.
Conclusions
A common baseline predictive parameter was not identified according to different progression criteria. For the Kmax criteria, which is less sensitive to detecting progression, IVA, PRC, and astigmatism were identified as predictors of progression.