A recommended “minimum data set” framework for SD-OCT retinal image acquisition and analysis from the Atlas of Retinal Imaging in Alzheimer’s Study (ARIAS)

Introduction: We propose a minimum data set framework for the acquisition and analysis of retinal images for the development of retinal Alzheimer\u27s 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\u27s Disease (RIAD) conference, convened by the Alzheimer\u27s 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

Dry eye symptoms and impact on vision-related function across International Task Force guidelines severity levels in the United States

Abstract Background International Task Force (ITF) guidelines established a grading scheme to support treatment of dry eye disease based on clinical signs and symptoms. The purpose of this study was to assess the impact of dry eye on vision-related function across ITF severity levels using the Ocular Surface Disease Index (OSDI) questionnaire. Methods Non-interventional, cross-sectional study of prescription treatment-naïve dry eye patients seeking symptom relief at 10 ophthalmology and optometry practices. Clinicians assessed corneal and conjunctival staining, tear break-up time, Schirmer’s test (type I with anesthesia), and best-corrected visual acuity. Patients completed the OSDI questionnaire and OSDI overall and domain (Symptoms, Visual Function, and Environmental Triggers) scores were compared across ITF guidelines severity levels (1–4). Results Of 158 patients (mean age, 55 years) enrolled, 52 (33%) were ITF level 1, 54 (34%) ITF level 2, and 52 (33%) ITF levels 3/4 combined. No significant differences were observed in most baseline characteristics. Overall OSDI scores (mean [standard deviation]) were 26.5 [20.0] for ITF level 1, 33.8 [17.5] for ITF level 2, and 44.9 [26.1] for ITF level 3/4 cohorts (P < 0.0001). Component OSDI Symptoms, Visual Function, and Environmental Triggers domain scores all worsened with increasing ITF severity level (P ≤ 0.01). Conclusions Dry eye disease has significant deleterious impact on vision-related function across all ITF severity levels