June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Eye Dynamics & Engineering Network (EDEN) Consortium: Study Design and Baseline Description
Author Affiliations & Notes
  • Sayoko Eileen Moroi
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
  • David M Reed
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
  • Arthur J Sit
    Ophthalmology, The Mayo Clinic , Rochester , Minnesota, United States
  • Carol B Toris
    Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, Ohio, United States
    Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • Vikas Gulati
    Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • Jay W McLaren
    Ophthalmology, The Mayo Clinic , Rochester , Minnesota, United States
  • Diana Burnett
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
  • Jesse Gilbert
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
  • Tyler Kristoff
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
  • Matthew Trese
    William Beaumont School of Medicine, Oakland University, Royal Oak , Michigan, United States
  • Arash Kazemi
    Ophthalmology, The Mayo Clinic , Rochester , Minnesota, United States
  • Shan Fan
    Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • David C Musch
    Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, United States
    Epidemiology, University of Michigan, Ann Arbor, Michigan, United States
  • Footnotes
    Commercial Relationships   Sayoko Moroi, NIH (F); David Reed, None; Arthur Sit, NIH (F); Carol Toris, NIH (F); Vikas Gulati, NIH (F); Jay McLaren, None; Diana Burnett, None; Jesse Gilbert, None; Tyler Kristoff, None; Matthew Trese, None; Arash Kazemi, None; Shan Fan, None; David Musch, NIH (F)
  • Footnotes
    Support  EY022124 (SEM), P30 EY007003 (UM Core Center for Vision Research), CTSA: UL1TR000433 (REDCap support was provided by the Michigan Institute for Clinical & Health Research), Research to Prevent Blindness Unrestricted Grant (University of Michigan, Mayo Clinic)
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 5336. doi:
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      Sayoko Eileen Moroi, David M Reed, Arthur J Sit, Carol B Toris, Vikas Gulati, Jay W McLaren, Diana Burnett, Jesse Gilbert, Tyler Kristoff, Matthew Trese, Arash Kazemi, Shan Fan, David C Musch; Eye Dynamics & Engineering Network (EDEN) Consortium: Study Design and Baseline Description. Invest. Ophthalmol. Vis. Sci. 2017;58(8):5336.

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

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Abstract

Purpose : We characterized the variation in intraocular pressure (IOP) in normal subjects. We report the study design of the Eye Dynamics and Engineering Network (EDEN) consortium, a description of study subjects, and IOP outcome measures at baseline.

Methods : These subjects were enrolled a prospective, randomized, multi-center trial to assess aqueous humor dynamic (AHD) traits and response to glaucoma medications in the same individuals. We measured IOP by tonometry, aqueous humor flow by fluorophotometry, outflow facility by 2-minute pneumatonometry (Model 30 Classic, Medtronic), and episcleral venous pressure by episcleral venomanometry. The PhenX Toolkit (www.phenxtoolkit.org) was used to assess body mass index (BMI), neck circumference, systemic disease, lifetime tobacco use, blood pressure, and systemic medications. Central cornea thickness (CCT) and ocular dimensions were measured by pachymetry and ocular biometry, respectively. Visit-to-visit IOP difference at five different times was classified as differences in IOP < 3 mmHg, between 3 – 5 mmHg, and > 5 mmHg. Data were assessed by univariate analyses and Pearson correlation for IOP difference between eyes and between visits.

Results : IOP was measured in 118 normal subjects at baseline AHD measurements and three prior visits during enrollment. Mean age was 55.3 ± 8.9 years (± SD, range 40 – 81 years), 88 were females and 30 were males, and self-reported ethnoracial status with 100 Caucasians, 12 Blacks, and 6 other. CCT was similar between eyes (553 ± 36 µm OD, 552 ± 37 µm OS, p = 0.9206). Axial length was similar between eyes (23.9 ± 1.2 µm OD, 23.8 ± 1.2 µm OS, p = 0.5555). The Pearson correlation coefficient between IOP in right and left eyes was r = 0.91 (95% CI:0.87, 0.93; p < 0.0001) with similar results on three repeated IOP measurements at two study visits. The visit-to-visit IOP difference from five repeated IOP measurements (right eye only) in 96 subjects (81%) was < 3 mmHg difference, in 18 subjects (15%) was 3 – 5 mmHg difference, and in 4 subjects (4%) was > 5 mmHg difference. There was no significant effect of study site, age, sex, race, CCT, BMI, neck circumference, tobacco use, systemic disease or medications on IOP outcomes (stepwise regression analysis, all p ≥ 0.05).

Conclusions : In the EDEN consortium, 15% of normal subjects have IOP difference of 3-5 mmHg between visits and 4% of normal subjects had > 5 mmHg between visits.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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