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|    Smart watches could predict higher risk     |
|    03 Apr 23 22:30:20    |
      MSGID: 1:317/3 642ba7f1       PID: hpt/lnx 1.9.0-cur 2019-01-08       TID: hpt/lnx 1.9.0-cur 2019-01-08        Smart watches could predict higher risk of heart failure                Date:        April 3, 2023        Source:        University College London        Summary:        A study looked at data from 83,000 people who had undergone a        15-second electrocardiogram (ECG) comparable to the kind carried out        using smart watches and phone devices. The researchers identified        ECG recordings containing extra heart beats which are usually benign        but, if they occur frequently, are linked to conditions such as        heart failure and arrhythmia (irregular heartbeats). They found        that people with an extra beat in this short recording (one in 25        of the total) had a twofold risk of developing heart failure or an        irregular heart rhythm (atrial fibrillation) over the next 10 years.                      Facebook Twitter Pinterest LinkedIN Email       FULL STORY       ==========================================================================       Wearable devices such as smart watches could be used to detect a higher       risk of developing heart failure and irregular heart rhythms in later       life, suggests a new study led by UCL researchers.                     ==========================================================================       The peer-reviewed study, published in The European Heart Journal --       Digital Health, looked at data from 83,000 people who had undergone a       15-second electrocardiogram (ECG) comparable to the kind carried out       using smart watches and phone devices.              The researchers identified ECG recordings containing extra heart beats       which are usually benign but, if they occur frequently, are linked to       conditions such as heart failure and arrhythmia (irregular heartbeats).              They found that people with an extra beat in this short recording (one       in 25 of the total) had a twofold risk of developing heart failure or       an irregular heart rhythm (atrial fibrillation) over the next 10 years.              The ECG recordings analysed were from people aged 50 to 70 who had no       known cardiovascular disease at the time.              Heart failure is a situation where the heart pump is weakened. It cannot       often be treated. Atrial fibrillation happens when abnormal electrical       impulses suddenly start firing in the top chambers of the heart (atria)       causing an irregular and often abnormally fast heart rate. It can be       life-limiting, causing problems including dizziness, shortness of breath       and tiredness, and is linked to a fivefold increased risk in stroke.              Lead author Dr Michele Orini (UCL Institute of Cardiovascular Science)       said: "Our study suggests that ECGs from consumer-grade wearable devices       may help with detecting and preventing future heart disease.              "The next step is to investigate how screening people using wearables       might best work in practice.              "Such screening could potentially be combined with the use of artificial       intelligence and other computer tools to quickly identify the ECGs       indicating higher risk, as we did in our study, leading to a more accurate       assessment of risk in the population and helping to reduce the burden of       these diseases." Senior author Professor Pier D. Lambiase (UCL Institute       of Cardiovascular Science and Barts Heart Centre, Barts NHS Health       Trust) said: "Being able to identify people at risk of heart failure       and arrhythmia at an early stage would mean we could assess higher-risk       cases more effectively and help to prevent cases by starting treatment       early and providing lifestyle advice about the importance of regular,       moderate exercise and diet." In an ECG, sensors attached to the skin are       used to detect the electrical signals produced by the heart each time it       beats. In clinical settings, at least 10 sensors are placed around the       body and the recordings are looked at by a specialist doctor to see if       there are signs of a possible problem. Consumer- grade wearable devices       rely on two sensors (single-lead) embedded in a single device and are       less cumbersome as a result but may be less accurate.              For the new paper, the research team used machine learning and an       automated computer tool to identify recordings with extra beats. These       extra beats were classed as either premature ventricular contractions       (PVCs), coming from the lower chambers of the heart, or premature atrial       contractions (PACs), coming from the upper chambers.              The recordings identified as having extra beats, and some recordings       that were not judged to have extra beats, were then reviewed by two       experts to ensure the classification was correct.              The researchers first looked at data from 54,016 participants of the UK       Biobank project with a median age of 58, whose health was tracked for an       average of 11.5 years after their ECG was recorded. They then looked at       a second group of 29,324 participants, with a median age of 64, who were       followed up for 3.5 years.              After adjusting for potentially confounding factors such as age and       medication use, the researchers found that an extra beat coming from       the lower chambers of the heart was linked to a twofold increase in       later heart failure, while an extra beat from the top chambers (atria)       was linked to a twofold increase in cases of atrial fibrillation.              The study involved researchers at UCL Institute of Cardiovascular Science,       the MRC Unit for Lifelong Health and Ageing at UCL, Barts Heart Centre       (Barts Health NHS Trust) and Queen Mary University of London. It       was supported by the Medical Research Council and the British Heart       Foundation, as well as the NIHR Barts Biomedical Research Centre.               * RELATED_TOPICS        o Health_&_Medicine        # Heart_Disease # Stroke_Prevention # Vioxx # Cholesterol        o Computers_&_Math        # Mobile_Computing # Computers_and_Internet #        Computer_Science # Information_Technology        * RELATED_TERMS        o Defibrillation o Heart_rate o Electrocardiogram o        Heart_failure o Artificial_heart o Coronary_heart_disease o        Ischaemic_heart_disease o CPR              ==========================================================================       Story Source: Materials provided by University_College_London. Note:       Content may be edited for style and length.                     ==========================================================================       Journal Reference:        1. Michele Orini, Stefan van Duijvenboden, William J Young, Julia        Rami'rez,        Aled R Jones, Andrew Tinker, Patricia B Munroe, Pier D Lambiase.               Premature atrial and ventricular contractions detected on        wearable-format electrocardiograms and prediction of cardiovascular        events. European Heart Journal - Digital Health, 2023; 4 (2):        112 DOI: 10.1093/ehjdh/ ztad007       ==========================================================================              Link to news story:       https://www.sciencedaily.com/releases/2023/04/230403133452.htm              --- up 1 year, 5 weeks, 10 hours, 50 minutes        * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)       SEEN-BY: 15/0 106/201 114/705 123/120 153/7715 226/30 227/114 229/110       SEEN-BY: 229/111 112 113 307 317 400 426 428 470 664 700 292/854 298/25       SEEN-BY: 305/3 317/3 320/219 396/45       PATH: 317/3 229/426           |
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