The study began by imaging the retina of all respondents and observing the light in the back of the eye, allowing the researchers to examine the health of the blood vessels in the retina through the (DF) scale of the fractal dimension. , which is used to reduce the size.
The results showed that low DF was associated with coronary artery disease, the most common type of heart disease and the leading cause of heart attacks, being the leading killer of both men and women worldwide in 2019.
The measure allowed researchers to access 9 genetic regions that control the branching patterns of blood vessels in the retina, and then discover that these regions are involved in processes related to the severity of a heart attack.
Differences in the blood vessels of the retina also indicate diseases such as diabetic retinopathy and stroke.
The researchers found that their model had the best predictive performance more than 5 years before the event.
In addition to the fractal scale, the researchers took into account traditional risk factors such as age, gender, body mass index and smoking status.
“Our results were astounding,” said Anna Villaplana Velasco, a student at the University of Edinburgh. Calculating heart attack risk in people over 50 looks good.
While predicting a heart attack can be scary, it benefits patients who can take urgent steps to reduce their risk by quitting smoking and maintaining normal cholesterol and blood pressure levels.