What This Means
This research suggests that simple, routinely available blood test markers that reflect both nutritional status and inflammation levels are meaningfully linked to the risk of diabetic retinopathy (DR), the leading cause of vision loss in working-age adults with diabetes. The study examined four composite indices — the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Albumin-Bilirubin (ALBI) score, and Neutrophil Percentage-to-Albumin Ratio (NPAR) — in two separate groups: over 3,700 people with diabetes from a large US national health survey, and 252 type 2 diabetes patients from a specialized eye clinic in China. Higher PNI and GNRI scores, which reflect better nutritional status, were associated with a roughly 40–44% lower likelihood of having DR, while higher ALBI and NPAR scores, which reflect worse liver function and more inflammation, were associated with 37–58% higher likelihood of DR. Importantly, in the Chinese clinical cohort, these indices also tracked with how severe the DR was, not just whether it was present.
This research suggests that the development of diabetic retinopathy is not driven solely by blood sugar levels but also by a person's nutritional and inflammatory status. The finding that these associations held across two very different populations — American adults from a diverse national survey and Chinese patients at a specialist eye clinic — strengthens the argument that these markers may be broadly relevant regardless of ethnicity or clinical setting. The researchers also found some variation by subgroup: the protective effect of better nutritional status (as measured by PNI) appeared stronger in people who were overweight or obese, and the risk associated with worse liver-related scores (ALBI) was more pronounced in women.
This research suggests that these indices, which are calculated from standard blood tests that are already routinely collected in clinical care (such as albumin, bilirubin, and white blood cell counts), could serve as practical, low-cost tools to help identify people with diabetes who are at higher risk for developing or worsening diabetic retinopathy. This could potentially support earlier screening and more targeted monitoring, though the study's observational design means it cannot establish that improving these indices would directly prevent or slow retinopathy.