AI Study Links Cardiac Fibrosis to Sudden Death Risk
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- Sudden cardiac arrest kills upward of 350,000 people a year in the U.S., a fate preventable with an implantable defibrillator, but identifying who needs one has been medicine's longstanding challenge.
- A study published Wednesday in Nature used artificial intelligence to identify people at highest risk of sudden cardiac death, wading into a medical mystery about why fundamentally healthy people drop dead.
- Cardiac fibrosis — scar tissue scattered throughout the heart and once considered relatively benign — is commonly present in people with the highest risk of sudden death, according to the AI analysis.
- The fibrosis finding offers a possible explanation for why at-risk individuals so often evade detection by current screening methods, since the scar tissue had not previously been treated as a red flag.
- The study reframes cardiac fibrosis from a bystander finding to a potential risk marker, shifting how clinicians might triage candidates for defibrillators among seemingly healthy populations.
Why it matters: This reframes cardiac fibrosis from a bystander condition to a potential screening target for the roughly 350,000 Americans who die from sudden cardiac arrest each year — a group whose risk has historically evaded detection because most appear fundamentally healthy before they die.
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