Predicting progressive glaucomatous optic neuropathy using baseline standard automated perimetry data.

ABSTRACT:

Purpose

To test the hypothesis that specific locations and patterns of threshold findings within the visual field have predictive value for progressive glaucomatous optic neuropathy (pGON).

Methods

Age-adjusted standard automated perimetry thresholds, along with other clinical variables gathered at the initial examination of 168 individuals with high-risk ocular hypertension or early glaucoma, were used as predictors in a classification tree model. The classification variable was a determination of pGON, based on longitudinally gathered stereo optic nerve head photographs. Only data for the worse eye of each individual were included. Data from 100 normal subjects were used to test the specificity of the models.

Results

Classification tree models suggest that patterns

SUBMITTER: Demirel S 

PROVIDER: S-EPMC2759404 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature