July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
The relationship between corneal hysteresis and progression of glaucoma after trabeculectomy.
Author Affiliations & Notes
  • Yuri Fujino
    Tokyo Hospital, The University of Tokyo, Tokyo, Japan
  • Hiroshi Murata
    Tokyo Hospital, The University of Tokyo, Tokyo, Japan
  • Masato Matsuura
    Tokyo Hospital, The University of Tokyo, Tokyo, Japan
    Graduate school of Medical Science, Kitasato University, Kanagawa, Japan
  • Ryo Asaoka
    Tokyo Hospital, The University of Tokyo, Tokyo, Japan
  • Footnotes
    Commercial Relationships   Yuri Fujino, None; Hiroshi Murata, None; Masato Matsuura, None; Ryo Asaoka, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5894. doi:
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      Yuri Fujino, Hiroshi Murata, Masato Matsuura, Ryo Asaoka; The relationship between corneal hysteresis and progression of glaucoma after trabeculectomy.. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5894.

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

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Abstract

Purpose : To investigate the effect of Corneal Hysteresis (CH) measured with Ocular Response Analyzer (ORA, Reichert) on the progression of glaucoma after trabeculectomy.

Methods : Subjects comprised of 22 eyes of 19 patients with primary open angle glaucoma (POAG) who had trabeculectomy. Visual fields (VFs) were measured using the Humphrey Field Analyzer (HFA) 24-2 program for at least 5 (mean±standard deviation: sd, 12±4.1) times in 9.3±4.2 years, excluding those within 6 months from trabeculectomy. During this period, intraocular pressure (IOP) was measured using the Goldmann tonometry for 50±22 times, and mean and sd values were calculated. ORA measurement was carried out three times and mean of the CH was calculated. The relationship between progression rate of mean total deviation (mTD) of HFA 24-2 VF and the seven variables of age, central corneal thickness (CCT), axial length (AL), mean TD value at baseline, mean IOP, SD of IOP and CH were analyzed using the linear mixed effects regression, and the optimal model was selected using the model selection method with the second ordered Akaike Information Criterion (AICc), from 27 combinations.

Results : The optimal model included CH (coefficient: 0.076, p = 0.11) and SD of IOP (coefficient: 0.20, p = 0.045) as explanatory variables for the slope of mean TD progression.

Conclusions : CH was chosen as a variable in the best model for the progression of glaucoma after trabeculectomy.

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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