Assessing Ectasia Susceptibility Prior to LASIK: Role of Age and Residual Stromal Bed in Conjunction With Belin-Ambrósio Deviation Index

Friday, April 25, 2014
KIOSKS (Boston Convention and Exhibition Center)
Jorge Augusto Siqueira da Silva, MD Niteroi - Rio de Janeiro, Brazil
Bruno F. Valbon, MD, University of São Paulo, Niterói, Brazil
Rodrigo T. Santos, MD, Rio de Janeiro Corneal Tomograhyand Biomechanics Study Group, SAO JOSE DOS CAMPOS, Brazil
Isaac C. Ramos, MD, Hospital de Olhos Santa Luzia, Maceió-AL, Brazil
Bernardo T. Lopes, MD, Rio de Janeiro Corneal Tomography and Biomechanical Study Group, Rio de Janeiro, Brazil
Renato Ambrósio Jr., MD, PhD, Inst. Olhos R. Ambrósio, Rio de Janeiro, Brazil

Narrative Responses:

Purpose
To compare the ability to detect preoperative ectasia risk among LASIK candidates using classic ERSS (Ectasia Risk Score System) and  Pentacam Belin-Ambrósio Deviation index (BAD-D), and to test the benefit of a combined approach including BAD-D and clinical data.

Methods
A retrospective nonrandomized study involved preoperative LASIK data from 23 post-LASIK ectasia cases and 266 stable-LASIK (follow up > 12 months). Preoperative clinical and Pentacam (Oculus; Wetzlar, Germany) data were obtained from all cases. Mann-Whitney’s test was performed to assess differences between groups. Stepwise logistic regression was used for combining parameters. The areas under the Receiver Operating Characteristic (ROC) curves (AUC) were calculated for all parameters and combinations, with pairwise comparisons of AUC (DeLong's method).

Results
Statistically significant differences were found for age, residual stromal bed (RSB), central corneal thickness and BAD-D (p<0.001), but not for sphere, cylinder or spherical equivalent (p>0.05). ERSS was 3 or more on 12/23 eyes from the ectasia group (sensitivity = 52.17%) and 48/266 eyes from the stable LASIK group (18% false positive). BAD-D had AUC of 0.931 (95% CI: 0.895 to 0.957), with cut-off of 1.29 (sensitivity = 87%; specificity = 92.1%). Formula combining BAD-D, age and RSB provided 100% sensitivity and 94% specificity, with better AUC (0.989; 95% CI: 0.969 to 0.998) than individual parameters (p>0.001).

Conclusion
BAD-D is more accurate than ERSS. Combining clinical data and BAD-D improved ectasia susceptibility screening. Further validation is necessary. Novel combined functions using other topometric and tomographic parameters should be tested to further enhance accuracy.