Prediction of Glaucomatous Visual Field Progression Using Baseline Clinical Data
- Ernest, Paul J.G.
- Schouten, Jan S.A.G.
- Beckers, Henny J.M.
- Hendrikse, Fred
- Prins, Martin H.
- Webers, Carroll A.B.
DOIAbstract
Purpose: To develop a prediction model for glaucomatous visual field progression using easily accessible baseline clinical data. Patients and Methods: We collected baseline data of 613 consecutive patients with open-angle glaucoma from 2001 to 2003. The rate of visual field progression was calculated using the Visual Field Index (VFI) of routine follow-up examinations until 2010. Baseline data of 333 patients from 3 hospitals were used to develop a model to predict the rate of VFI progression using a linear regression analysis and univariate preselection (P <0.1) of 8 candidate predictors. The performance of the model was investigated using R-2, the area under the receiver-operating characteristic curve, and calibration plots. The predictio...
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