Detection of Progression With 10-2 Standard Automated Perimetry: Development and Validation of an Event-Based Algorithm

Academic Article

Abstract

  • Purpose: To describe the development of a new algorithm for detecting progressive changes in 10-2 visual field (VF) tests using event-based analysis and to test its validity in a second, independent glaucoma cohort. Design: Prospective cohort study. Methods: Patients with established open-angle glaucoma from the Macular Assessment and Progression Study (MAPS; development cohort, n = 151), and the African Descent and Glaucoma Evaluation Study (ADAGES; validation cohort, n = 52) were evaluated. The 10-2 VF results from MAPS were obtained during 4 test-retest sessions within a 4-month period. For the validation analysis, 10-2 VF results from ADAGES performed on at least 5 visits were used. The event-based pointwise changes on 10-2 tests in the validation cohort were determined using 2 progression criteria: at least 3 progressing VF locations on 2 or 3 consecutive tests (“possible” or “likely” progression). Linear mixed-effects models were used to evaluate VF progression. Results: In the validation cohort, the mean (SD) follow-up time was 2.3 (0.7) years. The number of eyes experiencing 10-2 VF progression based on “possible” and “likely” progression was 36 (54.5%) and 11 (16.6%), respectively. Eyes experiencing “possible” progression had MD changes (−0.60 dB/year [95% confidence interval (CI): −0.93 to −0.28]) faster than those not meeting this criterion (P < .001), whereas for those with “likely” progression the difference was −0.91 dB/year (95% CI: −1.26 to −0.56, P < .001). Conclusions: A new event-based progression algorithm using the 10-2 VF can identify eyes experiencing more rapid MD progression and may be used as a tool to assess progressive macular functional changes in glaucoma.
  • Published In

    Digital Object Identifier (doi)

    Author List

  • De Moraes CG; Paula JS; Blumberg DM; Cioffi GA; Al-Aswad LA; Girkin CA; Weinreb RN; Zangwill LM; Ritch R; Susanna R
  • Start Page

  • 37
  • End Page

  • 43
  • Volume

  • 216