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A study published on the website of the British Journal of Ophthalmology found the difference between the biological age of the retina (the layer of light-sensitive nerve tissue at the back of the eye) and a person's chronological age (chronological age).
The researchers suggest that this "retinal age gap" could serve as a screening tool
Growing evidence suggests that the network of small blood vessels (microvasculature) in the retina may be a reliable indicator of the body's circulatory system and overall brain health
While the risk of illness and death increases with age, it is clear that the risk of illness and death varies widely among people of the same age, which means "biological aging" is unique to individuals, the researchers said.
Several tissue, cellular, chemical, and imaging-based indicators have been developed to detect biological aging that is not synchronized with chronological aging
So they turned to whether deep learning could accurately predict the age of a person's retinal fundus image, after the inner surface of the eye, to see if there was a difference between a person's true age, known as the retinal age gap, that could lead to a high risk of death
Deep learning is a type of machine learning and artificial intelligence (AI) that mimics the way people acquire certain types of knowledge
The researchers collected 80,169 fundus images from 46,969 adults aged 40 to 69 who were members of the UK Biobank, a large population-based study of 50 people.
In the initial Biobank health check, approximately 19,200 right-eye fundus images from 11,052 relatively healthy participants were used to validate the accuracy of the deep learning model in predicting retinal age
This indicates a strong correlation between predicted retinal age and chronological age, with an overall accuracy within 3.
Retinal age gaps were then assessed for the remaining 35,917 participants during an average monitoring period of 11 years
During this period, 1871 (5%) died: 321 (17%) from cardiovascular disease; 1018 (54.
The "fast-aging" -- those whose retinas look older than they actually are -- had retinal age gaps greater than 3, 5, and 10 years in 51 percent, 28 percent, and 4.
Except for cardiovascular disease or cancer, a larger retinal age gap was significantly associated with a 49%-67% increased risk of death
After accounting for potentially contributing factors such as hypertension, body weight (BMI), life>
The same method applied to the left eye produced similar results
This is an observational study and cannot establish cause
.
The researchers also acknowledged that these retinal images were captured at one point in time and that the participants may not be representative of the entire UK population
.
However, they write: "Our new findings have established that retinal age gap is an independent predictor of increased risk of death, particularly non-cardiovascular/non-cancer mortality
.
These findings suggest that retinal age may be a clinically meaningful Significant biomarkers of aging
.
"
They added: "The retina provides a unique, accessible 'window' to assess the underlying pathological processes in systemic vascular and neurological disease associated with increased risk of death
.
" This hypothesis is supported by previous studies showing that retinal imaging contains information on cardiovascular risk factors, chronic kidney disease and systemic biomarkers
.
"
They explain that the new findings, combined with previous research, add weight to the hypothesis that "the retina plays an important role in the aging process and is sensitive to the cumulative damage of aging that increases the risk of death
.
"
Reference: “Retinal age gap as a predictive biomarker for mortality risk” by Zhuoting Zhu, Danli Shi, Peng Guankai, Zachary Tan, Xianwen Shang, Wenyi Hu, Huan Liao, Xueli Zhang, Yu Huang, Honghua Yu, Wei Meng, Wei Wang , Zongyuan Ge, Xiaohong Yang and Mingguang He, 18 January 2022, British Journal of Ophthalmology .
DOI: 10.
1136/bjophthalmol-2021-319807