{
    "success": true,
    "data": {
        "id": 2049021,
        "msgid": "sleeping-patterns-reveal-heart-failure-risk-before-other-symptoms-appear-1792594344",
        "date": "2026-10-21 20:40:00",
        "title": "Sleeping Patterns Reveal Heart Failure Risk Before Other Symptoms Appear",
        "author": "",
        "source": "CNBC",
        "tags": "",
        "topic": "Technology",
        "summary": "A study by Emory University researchers and US health institutions found that electrical activity in the heart during light sleep can help predict heart failure, heart attacks and premature death over the following decade. An AI system trained on ECG data from 16,000 patients identified elevated risks, suggesting routine sleep examinations could provide an opportunity for earlier prevention.",
        "content": "<p>Jakarta, CNBC Indonesia \u2014 The way the body functions during sleep may\noffer important clues about heart health over the next 10 years. A new\nstudy suggests that heart activity during sleep can reveal a person\u2019s\nrisk of heart failure, heart attack and premature death.<\/p>\n<p>Researchers from Emory University and US health institutions found\nthat changes in the heart\u2019s electrical activity during the lightest\nstage of sleep, as the body is first falling asleep, were the most\naccurate marker. The nervous system changes rapidly at this stage,\nmaking otherwise hidden abnormalities easier to detect.<\/p>\n<p>The findings were published in the journal SLEEP, with support from\nthe US National Institutes of Health (NIH).<\/p>\n<p>\u201cThis new approach has the potential to identify the risk of heart\ndisease years before symptoms appear,\u201d said David Goff of the NIH.<\/p>\n<p>The research team trained an AI system using health data from 16,000\npatients who took part in a sleep-pattern study at a hospital in Boston,\nUS. Their heart activity was measured during sleep using ECGs.<\/p>\n<p>The AI system was then tested on two or more datasets from patients\nat two other hospitals.<\/p>\n<p>With the help of artificial intelligence, ECG recordings taken during\nsleep can place people into different risk categories. The results\nshowed that each increase in the system\u2019s risk score was associated\nwith:<\/p>\n<ul>\n<li><p>At least a doubling of the risk of heart rhythm\ndisorders;<\/p><\/li>\n<li><p>A 69% to 133% increase in the risk of heart failure;<\/p><\/li>\n<li><p>A 65% to 82% increase in the risk of death from any cause;\nand<\/p><\/li>\n<li><p>A higher risk of stroke, although the increase was not as great\nas for heart failure.<\/p><\/li>\n<\/ul>\n<p>Sleep-disorder examinations usually record heart activity, but unless\nan obvious abnormality is detected, the data are rarely examined\nfurther. This study shows that the information they contain may be\nhighly valuable. Patterns in changes to heart rate and electrical\nconduction during sleep can reveal things that are not apparent when a\nperson is awake.<\/p>\n<p>Even after accounting for known risk factors such as age, sex,\ndiabetes, high blood pressure and smoking, sleep data improved the\naccuracy of predictions. For heart failure, accuracy increased by up to\n9% compared with methods commonly used today.<\/p>\n<p>The findings pave the way for more proactive screening. People\nundergoing examinations for sleep disorders could also have their\noverall health risks assessed, allowing preventive measures to be taken\nwell before disease develops. The researchers hope the method will\neventually become a routine part of health checks rather than an\nadd-on.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/sleeping-patterns-reveal-heart-failure-risk-before-other-symptoms-appear-1792594344",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}