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Prevalence and Health Care Disparities of Retinal Conditions: A Meta-Analysis
T Y Alvin Liu1, Stella Ko2, Katherine L Rosettie2
1Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland.
JAMA Ophthalmology
|March 19, 2026
Summary
Age-related macular degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), and retinal vein occlusion (RVO) affect millions in the US. This study provides updated 2022 prevalence estimates, revealing significant disparities by sex, race, ethnicity, and region.
Area of Science:
- Ophthalmology
- Public Health
- Epidemiology
Background:
- Age-related macular degeneration (AMD), diabetic retinopathy (DR), diabetic macular edema (DME), and retinal vein occlusion (RVO) are leading causes of vision loss and blindness.
- Understanding the current prevalence of these conditions is crucial for public health planning and resource allocation.
Purpose of the Study:
- To update age-standardized prevalence estimates for AMD, DR, DME, and RVO in the US for 2022.
- To analyze prevalence by gender, race and ethnicity, and US state or county.
Main Methods:
- Bayesian meta-regression analysis was used, incorporating data from NHANES, Medicare claims, and commercial insurance claims.
- Prevalence estimates were age-standardized using the 2010 US Census age pyramid.
- Specific age groups and definitions were used for each condition (e.g., AMD for ages 40+, DR/DME as proportion of diabetic population, RVO for ages 18+).
Main Results:
- In 2022, estimated prevalence per 100,000 people was 5677 for AMD, 2710 for DR, 317 for DME, and 214 for RVO.
- Prevalence was higher in males than females for all conditions.
- Significant racial and ethnic disparities were observed, with Black and Hispanic individuals showing higher prevalence for DR and DME compared to White individuals.
Conclusions:
- The US prevalence of these retinal conditions is substantial, representing a significant healthcare burden.
- Updated estimates highlight critical disparities in prevalence across sex, race/ethnicity, and geographic regions.
- Findings can inform resource allocation and strategies to improve treatment access and outcomes for underserved populations.
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