DIAGNOSTIC PATTERNS OF AGE-RELATED MACULAR DEGENERATION.

Abstract

To characterize prevalence estimates by race, age, sex, and comorbidity (diabetes and hypertension) within the Medicare beneficiary demographic. In this US population-based retrospective cohort analysis, the Vision and Eye Health Surveillance System was analyzed for a 100% sample of Medicare Fee-For-Service beneficiary populations of Asians and non-Hispanic Whites between 2014 and 2018. Exclusionary criteria included beneficiaries younger than 40 years. Prevalence rate ratios, defined as prevalence rate for Asians divided by prevalence rate for non-Hispanic Whites, were calculated using multivariate negative binomial regression or Pearson-scaled Poisson regression, stratified by age, sex, and comorbidity. A total of 21,892,200 Medicare beneficiaries fulfilled the inclusionary criteria in 2018. Of the entire cohort, 3.2% of the beneficiaries (N = 714,500) were Asian. For beneficiaries aged 40 to 64 years, Asian male (prevalence rate ratios 1.73, 95% confidence interval 1.64-1.83, P < 0.0001) and female (prevalence rate ratios 1.34, 95% confidence interval 1.28-1.41, P < 0.0001) beneficiaries had an increased prevalence rate of all age-related macular degeneration relative to non-Hispanic Whites. Significant time-wise increases in prevalence rate ratios were observed within several age groups, sexes, and comorbidities (race-time interaction coefficients P < 0.05 ). This analysis highlights increased age-related macular degeneration prevalence estimates within the Asian American demographic relative to non-Hispanic Whites. Furthermore, specific Asian subpopulations are experiencing accelerated prevalence rates over time.