July 2019
Volume 60, Issue 9
Free
ARVO Annual Meeting Abstract  |   July 2019
Factors Influencing Precision of Visual Field Progression Rates
Author Affiliations & Notes
  • Aakriti Garg
    Glaucoma, Johns Hopkins University/Wilmer Eye Institute, Baltimore, Maryland, United States
  • Jiangxia Wang
    Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
  • Michael V Boland
    Glaucoma, Johns Hopkins University/Wilmer Eye Institute, Baltimore, Maryland, United States
  • Jithin Yohannan
    Glaucoma, Johns Hopkins University/Wilmer Eye Institute, Baltimore, Maryland, United States
  • Pradeep Y Ramulu
    Glaucoma, Johns Hopkins University/Wilmer Eye Institute, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Aakriti Garg, None; Jiangxia Wang, None; Michael Boland, Heidelberg Engineering (C); Jithin Yohannan, None; Pradeep Ramulu, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 2470. doi:
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    • Get Citation

      Aakriti Garg, Jiangxia Wang, Michael V Boland, Jithin Yohannan, Pradeep Y Ramulu; Factors Influencing Precision of Visual Field Progression Rates. Invest. Ophthalmol. Vis. Sci. 2019;60(9):2470.

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

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Abstract

Purpose : Precision of visual field (VF) progression estimates is important as more precise estimates allow for earlier intervention. Early identification of patients whose VF testing has poor value in guiding treatment may allow for earlier discontinuation of VF testing or earlier intervention to improve VF performance. This retrospective clinical study aims to characterize factors that may influence precision of VF progression rate estimates.

Methods : VFs were collected from patients at a tertiary care academic glaucoma practice between 2002 and 2011. VFs were performed using the Swedish Interactive Threshold Algorithm 24-2 pattern. Participants were excluded if baseline mean deviation (MD) was < -20dB, first 2 VFs (baseline VFs) were > 14 months apart, or < 5 VFs were available. Precision of the VF progression rate was defined as the width of the 95% confidence interval (CI) of the MD progression rate for the first 5 fields. The association between the 95% CI of MD progression rates and age, baseline severity, and the difference in MD between the first 2 VFs was calculated using linear mixed effects models, which account for intra-person and intra-eye effects. Subjects were stratified by baseline disease severity -- early: MD ≥ -6 dB; moderate: MD < -6 dB & ≥ -12 dB; advanced: MD < -12 dB & ≥ -20 dB.

Results : A total of 12,580 VFs spanning a mean of 3.5 (1.30) years from 2,516 eyes were included. Mean (standard deviation) age was 63.5 (14.0) years and baseline MD was -4.19 (4.8) dB. The mean MD slope was -0.21 (1.48) dB/year, and the mean width of the 95% CI of the MD progression rate was 4.02 (6.72) dB/year. Greater difference in MD between the first 2 VFs was significantly associated with decreased certainty of MD progression (P<0.001). For every 1dB difference between the 2 baseline VFs, the 95% CI of the MD trendline was 1.17 times wider (95% CI 1.16, 1.19; P<0.001). Moderate and advanced disease decreased certainty of VF progression as compared to early disease (β: 1.36, β: 1.34; P<0.001 for both, early disease as reference group). No association was found with age (P=0.11).

Conclusions : Estimation of VF progression is less precise when the first 2 VFs are dissimilar and in moderate or advanced glaucoma. In these situations, consider coaching of patients to improve VF results, or prioritize other diagnostic modalities, such as optical coherence tomography.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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