May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Temporal and Topographic Distribution of Visual Field Progression With Guided Progression Analysis and Pointwise Linear Regression With Pattern Deviation Data
Author Affiliations & Notes
  • K. Nouri-Mahdavi
    Ophthalmology, Hamilton Glaucoma Center, University of California San Diego, La Jolla, California
  • R. N. Weinreb
    Ophthalmology, Hamilton Glaucoma Center, University of California San Diego, La Jolla, California
  • J. Caprioli
    Ophthalmology, Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California
  • P. A. Sample
    Ophthalmology, Hamilton Glaucoma Center, University of California San Diego, La Jolla, California
  • Footnotes
    Commercial Relationships  K. Nouri-Mahdavi, None; R.N. Weinreb, Zeiss Meditec, F; Zeiss Meditec, C; J. Caprioli, Alcon, Allergan, Pfizer, C; Alcon, Allergan, Merck, Pfizer, R; Allergan, Pfizer, F; P.A. Sample, Carl Zeiss Meditec, Haag-Streit, Welch-Allyn, F.
  • Footnotes
    Support  NEI EY08208 (PAS), Grant for DIGS subject's glaucoma medications (Alcon Laboratories Inc., Allergan, Pfizer Inc., SANTEN Inc.)
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 1090. doi:https://doi.org/
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      K. Nouri-Mahdavi, R. N. Weinreb, J. Caprioli, P. A. Sample; Temporal and Topographic Distribution of Visual Field Progression With Guided Progression Analysis and Pointwise Linear Regression With Pattern Deviation Data. Invest. Ophthalmol. Vis. Sci. 2008;49(13):1090. doi: https://doi.org/.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: : To compare the time to initial progression and spatial distribution of progressing test locations with Guided Progression Analysis (GPA) and pointwise linear regression analysis (PLR) on pattern deviation data in eyes progressing on both.

Methods: : 363 eyes (214 patients) from UCSD's Diagnostic Innovations in Glaucoma Study (DIGS) and 928 eyes (582 patients) from UCLA's clinical database were enrolled. Inclusion criteria included a diagnosis of glaucoma or glaucoma suspect, follow-up of 3 years or longer and a minimum of 7 reliable SITA-standard visual fields. EMGT criteria were used for defining progression according to GPA. Presence of 3 or more points with a slope ≤-1.0 dB/year with p ≤0.01 on at least two consecutive regression analyses was required before progression was confirmed with PLR. Time to initial progression and topographic distribution of the worsening test locations were compared in eyes that progressed by both methods.

Results: : : An average (± SD) of 9.2 (± 2.3) visual fields per eye was available. Mean (± SD) follow-up time was 6.1 (± 1.5) years. Twenty-three eyes (21 with abnormal baseline fields) progressed with both GPA and PLR. The mean (± SD) time to progression was 3.9 (± 1.7) years and 5.2 (± 1.7) years for GPA and PLR, respectively (p <0.001, paired t test). The median (range) number of initially progressing test locations was 3 (3-17) and 4 (3-13) for GPA and PLR (p =0.44, Wilcoxon's signed ranks test). All but one initially progressing test locations detected with GPA (100 of 101 test locations) and 95% of worsening test locations according to PLR (90 out of 95 locations) were either within the baseline defective area (locations with p<5% on pattern deviation plot at baseline) or in its immediate vicinity. About two-thirds of the progressing test locations by either method were detected by the other technique. In the DIGS cohort, GPA and PLR detected progression in 46 (12.7%) vs. 5 (1.4%) out of 363 eyes (p <0.001, McNemar's test). In this subset of patients, all progressing eyes detected by PLR also progressed by GPA.

Conclusions: : In eyes progressing according to both techniques, GPA detected progression earlier than PLR. A majority of progressing test locations by both techniques either belonged to or immediately surrounded the area of initial field loss. In the DIGS cohort, GPA detected significantly more progression than PLR on pattern deviation data.

Keywords: visual fields 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×