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Introduction: Visual function and cognitive impairment are interrelated; however, little is known about the impact of modifying treatable vision impairment on the development of cognitive dysfunction. This study examines the relationship between cognition and self-reported visual function using the National Eye Institute's Visual Function Questionnaire (NEI VFQ). Methods: Participants completed the NEI VFQ 25-Item questionnaire as well as the Mini-Mental State Examination (MMSE). Additionally, all participants were assigned a consensus clinical diagnosis based on established criteria. We used a general linear model and analysis of variance approach to compare means between multiple groups. Results: A significant association between overall composite score on the NEI VFQ and total MMSE score was revealed (P = 0.04). On average, for every 1-point increase in MMSE score, the overall composite score increased by 0.40 units (95% confidence interval: 0.03-0.77). Discussion: Reduced visual function should raise concerns about cognitive decline and prompt additional assessment.
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Background: Despite the diagnostic accuracy of advanced neurodiagnostic procedures, the detection of Alzheimer's disease (AD) remains poor in primary care. There is an urgent need for screening tools to aid in the detection of early AD. Objective: This study examines the predictive ability of structural retinal biomarkers in detecting cognitive impairment in a primary care setting. Methods: Participants were recruited from Alzheimer's Disease in Primary Care (ADPC) study. As part of the ADPC Retinal Biomarker Study (ADPC RBS), visual acuity, an ocular history questionnaire, eye pressure, optical coherence tomography (OCT) imaging, and fundus imaging was performed. Results: Data were examined on nâ=â91 participants. The top biomarkers for predicting cognitive impairment included the inferior quadrant of the outer retinal layers, all four quadrants of the peripapillary retinal nerve fiber layer, and the inferior quadrant of the macular retinal nerve fiber layer. Conclusion: The current data provides strong support for continued investigation into structural retinal biomarkers, particularly the retinal nerve fiber layer, as screening tools for AD.
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INTRODUCTION: We propose a minimum data set framework for the acquisition and analysis of retinal images for the development of retinal Alzheimer's disease (AD) biomarkers. Our goal is to describe methodology that will increase concordance across laboratories, so that the broader research community is able to cross-validate findings in parallel, accumulate large databases with normative data across the cognitive aging spectrum, and progress the application of this technology from the discovery stage to the validation stage in the search for sensitive and specific retinal biomarkers in AD. METHODS: The proposed minimum data set framework is based on the Atlas of Retinal Imaging Study (ARIAS), an ongoing, longitudinal, multi-site observational cohort study. However, the ARIAS protocol has been edited and refined with the expertise of all co-authors, representing 16 institutions, and research groups from three countries, as a first step to address a pressing need identified by experts in neuroscience, neurology, optometry, and ophthalmology at the Retinal Imaging in Alzheimer's Disease (RIAD) conference, convened by the Alzheimer's Association and held in Washington, DC, in May 2019. RESULTS: Our framework delineates specific imaging protocols and methods of analysis for imaging structural changes in retinal neuronal layers, with optional add-on procedures of fundus autofluorescence to examine beta-amyloid accumulation and optical coherence tomography angiography to examine AD-related changes in the retinal vasculature. DISCUSSION: This minimum data set represents a first step toward the standardization of retinal imaging data acquisition and analysis in cognitive aging and AD. A standardized approach is essential to move from discovery to validation, and to examine which retinal AD biomarkers may be more sensitive and specific for the different stages of the disease severity spectrum. This approach has worked for other biomarkers in the AD field, such as magnetic resonance imaging; amyloid positron emission tomography; and, more recently, blood proteomics. Potential context of use for retinal AD biomarkers is discussed.
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The Hispanic population is underserved and underrepresented in health care. Epidemiological studies are cmcial for providing insight to identify disparities and unmet eye health needs in this vulnerable group. The purpose of our study is to examine the prevalence of ocular conditions in the elderly Hispanic population in North Texas and identify the frequency in which these conditions were undiagnosed. This study was ancillary to the Health and Aging Brain study among Latino Elders (HABLE). Seventy-three HABLE participants (aged > 50 years) underwent neuropsychological evaluation and an eye health screening at the University of North Texas Health Science Center study site. Descriptive analyses were performed for prevalence of ocular conditions, as well as a comparison of self-reported conditions and ocular Endings. Our results suggest the prevalence patterns for undetected ocular disease in the Hispanic population of North Texas are comparable with the epidemiological trends for this population group in other concentrated areas in the United States.
