Validation of a predictive model to estimate the risk of conversion from ocular hypertension to glaucoma.


Journal Article

OBJECTIVES: To develop and validate a predictive model to estimate the risk of conversion from ocular hypertension to glaucoma. METHODS: Predictive models for the 5-year risk of conversion to glaucoma were derived from the results of the Ocular Hypertension Treatment Study (OHTS). The performance of these models was assessed in an independent population of 126 subjects with ocular hypertension from a longitudinal study (Diagnostic Innovations in Glaucoma Study [DIGS]). The performance of the OHTS-derived models was assessed in the DIGS cohort according to equality of regression coefficients, discrimination (c-index), and calibration. RESULTS: Thirty-one patients (25%) developed glaucoma during follow-up. Hazard ratios for DIGS- and OHTS-derived predictive models were similar for age, intraocular pressure, central corneal thickness, vertical cup-disc ratio, and pattern standard deviation but were significantly different for the presence of diabetes mellitus. When applied to the DIGS population, the OHTS-derived predictive models had reasonably good discrimination (c-indexes of 0.68 [full model] and 0.73 [reduced model]) and calibration. CONCLUSIONS: The OHTS-derived predictive models performed well in assessing the risk of glaucoma development in an independent population of untreated subjects with ocular hypertension. A risk scoring system was developed that allows calculation of the 5-year risk of glaucoma development for an individual patient.

Full Text

Duke Authors

Cited Authors

  • Medeiros, FA; Weinreb, RN; Sample, PA; Gomi, CF; Bowd, C; Crowston, JG; Zangwill, LM

Published Date

  • October 2005

Published In

Volume / Issue

  • 123 / 10

Start / End Page

  • 1351 - 1360

PubMed ID

  • 16219726

Pubmed Central ID

  • 16219726

International Standard Serial Number (ISSN)

  • 0003-9950

Digital Object Identifier (DOI)

  • 10.1001/archopht.123.10.1351


  • eng

Conference Location

  • United States