June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Evaluation of ophthalmic biomarkers of dementia
Author Affiliations & Notes
  • Yvonne Hong
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Christina Duong
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Megan Lacy
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Oliver Davidson
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Missy Takahashi
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Suman Jaydev
    Department of Neurology,, University of Washington, Seattle, Washington, United States
  • Cecilia S. Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington, United States
    The Roger and Angie Karalis Retina Center, Seattle, Washington, United States
  • Footnotes
    Commercial Relationships   Yvonne Hong None; Christina Duong None; Megan Lacy None; Oliver Davidson None; Missy Takahashi None; Suman Jaydev None; Cecilia Lee None; Aaron Lee Genentech, Verana Health, Code C (Consultant/Contractor), US Food and Drug Administration; This article does not reflect the opinions of the Food and Drug Administration., Code E (Employment), Santen,Carl Zeiss Meditec, Novartis, Code F (Financial Support), Topcon, Code R (Recipient)
  • Footnotes
    Support  This research has been funded by National Institute on Aging ACT grants U01AG006781, U19AG066567, National Institutes of Health grants K23EY029246, R01AG060942, OT2OD032644, the Latham Vision Research Innovation Award (Seattle, WA), the Klorfine Family Endowed Chair, the C. Dan and Irene Hunter Endowed Professorship, the Karalis Johnson Retina Center, and by an unrestricted grant from Research to Prevent Blindness. The sponsors or funding organizations had no role in the design or conduct of this research.
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3676. doi:
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    • Get Citation

      Yvonne Hong, Christina Duong, Megan Lacy, Oliver Davidson, Missy Takahashi, Suman Jaydev, Cecilia S. Lee, Aaron Y Lee; Evaluation of ophthalmic biomarkers of dementia. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3676.

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

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Abstract

Purpose : Prior studies have found associations between retinal features and Alzheimer's disease. We evaluated retinal imaging data and measures of visual function to identify early biomarkers of dementia in individuals with varying levels of cognitive function.

Methods : Participants were recruited from the University of Washington Alzheimer’s Disease Research Center (UW ADRC) registry and assigned to control, mild cognitive impairment (MCI), or dementia cohorts. Measurements included photopic and mesopic visual acuity, contrast sensitivity, intraocular pressure (IOP), pupillometry, fundus photography, optical coherence tomography (OCT), OCT angiography, flavoprotein fluorescence (FPF) imaging, and two cognitive testing batteries - Tablet-based Cognitive Assessment Tool (TabCAT) and the NIH Toolbox. Linear regression models adjusted for age, sex, smoking history and education were used to assess mean differences between cohorts using the better seeing eye.

Results : As of October 5, 2022, 61 participants (mean age 72 [63-96], 50% female) completed the initial visit, including 38 controls, 9 with MCI, and 14 with dementia. Median age corrected NIH fluid composite scores were 105, 88, and 62. MCI and dementia participants scored lower on average by 12.5 and 27.1 points, respectively (p=0.071, p=0.029). Photopic visual acuity was highest in the control group and lower in the dementia cohort (difference in mean score=7.61, p=0.00051). Retinal nerve fiber layer (RNFL) and RNFL combined with ganglion cell/inner plexiform layer complex (GCL/IPL) thickness were lower in the dementia and MCI groups compared to the control group, however this was not statistically significant (Figure 1). The mean nerve disc FPF scores and macular FPF curve width were lower in the dementia group compared to the control group (p=0.046 and p=0.027, respectively)(Figure 2).

Conclusions : In this small, preliminary cross-sectional sample, we found promising differences in photopic visual acuity, FPF imaging, and various retinal thicknesses between people with and without dementia. These findings should be validated as more data is collected for this study and in future studies.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Retinal thickness measurements by cognitive group.

GCL/IPL, ganglion cell layer/inner plexiform layer; MCI, mild cognitive impairment; OCT, optical coherence tomography; RNFL, retinal nerve fiber layer.

Retinal thickness measurements by cognitive group.

GCL/IPL, ganglion cell layer/inner plexiform layer; MCI, mild cognitive impairment; OCT, optical coherence tomography; RNFL, retinal nerve fiber layer.

 

Flavoprotein fluorescence (FPF) imaging measurements by cognitive group.
MCI, mild cognitive impairment.

Flavoprotein fluorescence (FPF) imaging measurements by cognitive group.
MCI, mild cognitive impairment.

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