Researchers here suggest yet another possible use for retinal imaging, in this case an assessment of the burden imposed on the central nervous system by atrial fibrillation in its early stages. The retina is a window into the health of the central nervous system; many of the pathologies of the aging brain also take place in the retina. Retinal imaging is a relatively low cost procedure, and machine learning techniques make it feasible to reliably categorize features in the retina that change with aging and disease.
Atrial fibrillation, one of the most common heart conditions causing an irregular heart rhythm, affects millions of people worldwide and significantly increases the risk of stroke and heart failure. Detecting it early, before symptoms arise, remains a major clinical challenge. In this study, we explored whether the retina could offer clues about a person's cardiac health. Because the retina shares structural and vascular similarities with the brain and heart, changes visible on routine eye scans may reflect broader changes occurring elsewhere in the body.
Using eye imaging data from over 90,000 individuals across two large independent datasets, we found that people with atrial fibrillation show measurable thinning of specific inner retinal layers, the ganglion cell and inner plexiform layer, and the inner nuclear layer, compared to those without atrial fibrillation. Crucially, individuals with a thinner retina at baseline were significantly more likely to develop atrial fibrillation in the future, even before any cardiac diagnosis had been made, underlining the difficulty of establishing the diagnosis. These findings suggest that standard, non-invasive retinal scans which are widely used both in eye clinics and community settings, could potentially help identify individuals at elevated cardiac risk, potentially enabling earlier intervention and improved outcomes.
Link: https://doi.org/10.1371/journal.pdig.0001661
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