Diabetic retinopathy, the diabetic complication most frequently linked to diabetes, was quantitated in diabetic and nondiabetic subjects through standardized fundus photographs and the ETDRS grading system. The information came from the National Health and Nutrition Examination Survey (NHANES) 2005–2008, which comprised a nationally representative sample of 4,753 adults aged 40 years and older in the United States.
This was a cross-sectional study using NHANES data from 2005 to 2008. A total of 4,753 adults aged 40 and older were included. Retinopathy was determined through retinal photographs evaluated according to the ETDRS grading protocol. RAR was estimated from laboratory data, and participants were divided into quartiles according to RAR levels. To examine the nature of the relationship between RAR and retinopathy, researchers employed generalized additive models to assess nonlinear trends, and a two-piecewise linear regression model to detect the point of inflection at which the relation changed.
Key Findings
The univariate analysis disclosed a very pronounced increase in retinopathy prevalence in association with increasing quartiles of RAR (P < 0.001).
A clear nonlinear relationship between RAR and retinopathy risk was observed, with an inflection point at a RAR value of 3.14.
Below the inflection point (RAR < 3.14): With each 1-unit increase in RAR, there were 2.69 times greater odds of retinopathy (OR = 3.69; 95% CI: 1.37–9.96).
Above the inflection point (RAR > 3.14): The relationship flattened, with a non-significant rise in odds (OR = 1.14; 95% CI: 0.60–2.14).
Highest vs. lowest RAR quartile: Individuals with the highest quartile had 56% higher odds of retinopathy than individuals in the lowest quartile (OR = 1.56; 95% CI: 1.16–2.11).
This population-based research found that the RAR has a nonlinear correlation with the risk of retinopathy in U.S. adults aged 40 and above. The risk grew disproportionately large below an RAR value of 3.14, beyond which the association plateaued. These results uphold the promise of RAR as a simple, low-cost biomarker for retinopathy risk stratification, particularly in primary care and public health settings.
Reference:
Gu, J., Qiu, S., & Sun, Z. (2025). Nonlinear association between red cell distribution width-to-albumin ratio and retinopathy: A cross-sectional study. Journal of Multidisciplinary Healthcare, 18, 4691–4701.
https://doi.org/10.2147/jmdh.s530939
Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.
NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.