July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Identification of visual field progression in glaucoma: comparison of event-based and trend-based glaucoma progression analyses with standard achromatic perimetry
Author Affiliations & Notes
  • Chan Keum Park
    Ophthalmology, Severance Hospital of Yonsei University, Seoul, Korea (the Republic of)
  • Chan Y Kim
    Ophthalmology, Severance Hospital of Yonsei University, Seoul, Korea (the Republic of)
  • Hyoung Won Bae
    Ophthalmology, Severance Hospital of Yonsei University, Seoul, Korea (the Republic of)
  • Sang Yeop Lee
    Ophthalmology, Severance Hospital of Yonsei University, Seoul, Korea (the Republic of)
  • Gong Je Seong
    Ophthalmology, Severance Hospital of Yonsei University, Seoul, Korea (the Republic of)
  • Joo Yeon Kim
    Ophthalmology, National Health Insurance Service Ilsan Hospital, Ilsan, Korea (the Republic of)
  • Jong Woon Park
    Ophthalmology, National Health Insurance Service Ilsan Hospital, Ilsan, Korea (the Republic of)
  • Footnotes
    Commercial Relationships   Chan Keum Park, None; Chan Kim, None; Hyoung Won Bae, None; Sang Yeop Lee, None; Gong Je Seong, None; Joo Yeon Kim, None; Jong Woon Park, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5108. doi:
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      Chan Keum Park, Chan Y Kim, Hyoung Won Bae, Sang Yeop Lee, Gong Je Seong, Joo Yeon Kim, Jong Woon Park; Identification of visual field progression in glaucoma: comparison of event-based and trend-based glaucoma progression analyses with standard achromatic perimetry. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5108.

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

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Abstract

Purpose : This study was designed to evaluate the features of two big categories of visual field serial analyses, so called event-based analysis and trend-based analysis to determine visual field (VF) progression in glaucoma with GPA II software. So that we can understand these methods well and use them complementarily in appropriate situation.

Methods : This retrospective study included 258 glaucoma eyes with a minimum of five reliable VF tests and a follow-up period of at least 2 years. VFs were analyzed by proprietary software (GPA II) to determine progression. Various cut-off value was applied to determine the criteria of progression and agreement of two analyses was evaluated. Subgroup analysis was done according to the detection of progression by each analysis.

Results : Median follow-up duration and baseline mean deviation (MD) of VF was 5 years and -3.4 dB. Agreement (κ) between event- and trend-based analyses was fair in all criteria. Median duration of progression detected by event-based method (5.1 years) or both of methods (5.2 years) was little earlier than by trend-based method only (6.1 years) but not significant (P=0.763). Median baseline VF parameters were similar in all progressive group but advanced stage of glaucoma was placed more in subgroup detected only by trend-based analysis. Trend-based analysis was accompanied with more center-weighted progression (distance from fixation≤20°). Rates of decay diminished with longer time to initial worsening (rho=0.454, P≤0.01).

Conclusions : Agreement between event- and trend-based progression analyses was fair. Duration for detection of progression showed no difference between two methods. Advanced stage of glaucoma seemed to be early detected by trend-based analysis. Progression by trend-based analysis was accompanied with more center-weighted location than periphery. Global rates of decay decreased with longer time to VF deterioration.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

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