AI-enabled electrocardiograms find that the difference between numerical age and biological age significantly affects health

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It may be older (or younger) than you think. A new study found that differences between a person’s age in years and their biological age, as predicted with an artificial intelligence (AI)-enabled electrocardiogram, can provide measurable information about their health and fitness. longevity.

The artificial intelligence model accurately predicted the age of most subjects, with a mean age gap of 0.88 years between ECG age and actual age. However, several subjects had a much larger gap, apparently much larger or much younger at the age of the electrocardiograms.

The probability of dying as predicted during follow-up was much higher among those who appeared to be older by ECG age, compared with those who had ECG age equal to their chronological age or real. The association was even stronger when death caused by heart disease was predicted. In contrast, those who had a minor gap (considered younger by EKG) had a reduced risk.

“Our results validate and expand our previous observations that the age of AI electrocardiograms can detect accelerated aging by demonstrating that those older than expected by ECG die earlier, especially from heart disease. We know that the Mortality rate is one of the best ways to measure , and our model proved it, “says Francisco López-Jiménez, MD, president of the Mayo Clinic’s Preventive Cardiology Division. Dr. López-Jiménez is the lead author of the study.

When the researchers adjusted these data to consider multiple standard risk factors, the association between the age gap and cardiovascular mortality was even more pronounced. Subjects who were considered older by EKG compared to their actual age had the highest risk, even after taking this into account. this would predict their survival, while those found younger compared to their actual age had lower cardiovascular risks.

Researchers at the Mayo Clinic evaluated 12-lead EKG data from more than 25,000 subjects with a previously trained and validated AI algorithm to provide a biological age prediction. Subjects with a positive age gap (an ECG age greater than their chronological or actual age) showed a clear connection to all-cause and cardiovascular mortality over time. The findings are published in European Heart Journal – Digital Health.

The study subjects were selected through the Rochester Epidemiology Project, an index of health-related information from medical providers in Olmsted County, Minnesota. Subjects had a mean age of about 54 years and were followed for approximately 12.5 years. The study excluded those with an initial history of heart attacks, bypass surgery or stents, stroke, or atrial fibrillation.

“Our findings open up a number of opportunities to help identify those who can benefit most from preventative strategies. Now that the concept that the age of electrocardiograms is related to survival has been demonstrated, it’s time to think about how we can incorporate it into clinical practice. ” More research will be needed to find the best ways to do this, ”says Dr. Lopez-Jiménez.


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Citation: AI-enabled electrocardiograms find that the difference between numerical age and biological age significantly affects health (2021, May 20) recovered on May 20, 2021 at https://medicalxpress.com/news/ 2021-05-ai-enabled-ekgs-difference-numerical -age.html

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