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Predictive model for early diagnosis of keratoconus
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Abstract
Background To describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus/forme fruste and normal corneas. Calculate a diagnostic model of subclinical keratoconus/forme fruste. Methods The design was a cross-sectional study. It included 205 eyes from 188 patients distributed in 82 normal corneas, 40 subclinical keratoconus/forme fruste and 83 established keratoconus The topographic, pachymetric and aberrometry variables obtained by rotary Scheimpflug camera (Pentacam® type) were analyzed. A descriptive and bivariate analysis of the recorded data was performed. A diagnostic model of subclinical keratoconus/forme fruste was calculated. Results Statistically significant differences were obtained when comparing normal corneas with subclinical keratoconus/forme fruste in variables of vertical asymmetry and corneal thickness.The regression model was calculated with the minimum corneal thickness and the anterior coma to 90º and posterior coma to 90º. Conclusions The diagnosis of subclinical keratoconus/forme fruste depends on the central corneal thickness, and two aberrometric topographic parameters the anterior coma to 90º and posterior coma to 90º.
Title: Predictive model for early diagnosis of keratoconus
Description:
Abstract
Background To describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus/forme fruste and normal corneas.
Calculate a diagnostic model of subclinical keratoconus/forme fruste.
Methods The design was a cross-sectional study.
It included 205 eyes from 188 patients distributed in 82 normal corneas, 40 subclinical keratoconus/forme fruste and 83 established keratoconus The topographic, pachymetric and aberrometry variables obtained by rotary Scheimpflug camera (Pentacam® type) were analyzed.
A descriptive and bivariate analysis of the recorded data was performed.
A diagnostic model of subclinical keratoconus/forme fruste was calculated.
Results Statistically significant differences were obtained when comparing normal corneas with subclinical keratoconus/forme fruste in variables of vertical asymmetry and corneal thickness.
The regression model was calculated with the minimum corneal thickness and the anterior coma to 90º and posterior coma to 90º.
Conclusions The diagnosis of subclinical keratoconus/forme fruste depends on the central corneal thickness, and two aberrometric topographic parameters the anterior coma to 90º and posterior coma to 90º.
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