ADAPTIVE OPTICS IMAGING IN DIABETIC RETINOPATHY: A Prospective Cohort Study.

PURPOSE: To investigate the correlation between diabetic retinopathy (DR) severity and microscopic retinal and vascular alterations using adaptive optics imaging. METHODS: In this single-center, prospective cohort study, adult participants with healthy eyes or DR underwent adaptive optics imaging. Participants were classified into control/mild nonproliferative DR, moderate/severe nonproliferative DR, and proliferative DR. Adaptive optics imaging using the RTX1 camera was obtained from 48 participants (87 eyes) for photoreceptor data and from 36 participants (62 eyes) for vascular data. RESULTS: Photoreceptor parameters significantly differed between DR groups at 2° and 4° of retinal eccentricity. Wall-to-lumen ratio varied significantly at 2° eccentricity, while other vascular parameters remained nonsignificant. Cone density and dispersion were the strongest predictors for DR severity ( P < 0.001) in multivariable generalized estimating equation modeling, while other vascular parameters remained nonsignificant between DR severity groups. All photoreceptor parameters showed significant correlations with visual acuity overall and across most DR severity groups. CONCLUSION: To date, this is one of the largest studies evaluating the use of adaptive optics imaging in DR. Adaptive optics imaging was demonstrated to differentiate between various levels of disease severity in DR. These results support the potential role in diagnostic and therapeutic microstructural evaluation in research and clinical practice.

Relationship Between Disease and Treatment Factors in Diabetes With Vision Difficulty: A Cross-Sectional, Population-Based Analysis.

BACKGROUND AND OBJECTIVE: Relationships between disease and treatment factors of diabetes and vision difficulty remain largely unknown. This study investigated the relationship between disease and treatment factors in diabetes and participants' self-reported vision difficulty. PATIENTS AND METHODS: This was a cross-sectional, population-based analysis. Data from the National Health Interview Survey was used and analyzed through univariable and multivariable logistic regression. RESULTS: From the 29,464 included participants, logistic regression showed increased odds of self-reported vision difficulty among participants with diabetes (odds ratio [OR] = 2.14, P < 0.001), prediabetes (OR = 1.95, P < 0.001), or gestational diabetes (OR = 1.54, P < 0.001) compared to participants without diabetes. Those who reported having diabetes for more than a year had higher odds of vision difficulty (OR = 1.97, P = 0.02), as did those who were taking insulin (OR = 1.62, P < 0.001), those who had taken less insulin to save money within the past year (OR = 1.87, P = 0.01), and those who reported experiencing diabetes-related stress (OR = 2.14, P < 0.001). CONCLUSIONS: Duration of diabetes, diabetes-related stress, and taking less insulin than recommended to save money were associated with vision difficulty. [Ophthalmic Surg Lasers Imaging Retina 2024;55:142-153.].

Association Between Sociodemographic Factors and Vision Difficulty in the National Health Interview Survey: A Population-Based Analysis.

PURPOSE: To investigate the relationship between social determinants of health with self-reported vision difficulty. DESIGN: Cross-sectional, population-based analysis. METHODS: The National Health Interview Survey (NHIS) is an annual survey based on the U.S. population ≥18 years of age. It provides self-reported data on demographic characteristics, socioeconomic factors, health status, and health care access. The 2021 NHIS database was used in this study. Adult participants of the NHIS who responded to the vision difficulty question "Do you have difficulty seeing, even when wearing glasses or contact lenses?" were included in this analysis. The outcome of interest was self-reported vision difficulty by participants. Analysis was done through univariable and multivariable logistic regression. RESULTS: Overall, there were 29,464 participants included in the analysis. Univariable logistic regression showed an increased odds of self-reported vision difficulty among female (odds ratio [OR] 1.28 [95% confidence interval {CI} 1.20-1.38]; P < .001), gay, lesbian, or bisexual participants (OR 1.24 [95% CI 1.04-1.49]; P = .02), those who possessed public compared with private insurance (OR 1.83 [95% CI 1.69-1.99]; P < .001), those with less than a high school education (OR 1.88 [95% CI 1.67-2.13]; P < .001), and those with an income below the poverty threshold (OR 2.22 [95% CI 1.96-2.51]; P < .001). Multivariable analysis revealed an increased risk of vision difficulty reported amongst non-Hispanic Black participants (OR 1.65 [95% CI 1.21-2.25]; P = .002). CONCLUSIONS: A multitude of sociodemographic factors are associated with self-reported vision difficulty in the U.S. POPULATION: Our findings emphasize the importance of considering factors of social determinants of health in clinical practice and policymaking for patients with vision loss.