Sudden cardiac arrests represent a significant cause of disease in young people, with athletes being at higher risk. For athletes who have previously had cardiac arrest, an implantable cardiac defibrillator (ICD) is the primary ...
Jun 5, 2024
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The European Society of Cardiology (ESC) Guidelines on cardiomyopathies are published online today in European Heart Journal. This is the first international guideline document to include all cardiomyopathy subtypes, and ...
Aug 25, 2023
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Patients who feel low when having a cardiac device implanted are more likely to stop taking their heart medications than those without depression, according to research presented today at ACNAP 2023, a scientific congress ...
Jun 24, 2023
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In this high-tech era, wearable devices such as smartwatches have proven to be invaluable companions for the health conscious. But a new study from the University of Utah shows that for a small group of people, some of these ...
Feb 22, 2023
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A heart check-up is recommended in even apparently healthy people over 65 years of age before intermediate- or high-risk non-cardiac surgery, according to European Society of Cardiology (ESC) Guidelines on cardiovascular ...
Aug 29, 2022
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An analysis of more than 10,000 individuals has failed to produce a model that accurately predicts sudden cardiac arrest. The results from the ESCAPE-NET project are presented at EHRA 2022, a scientific congress of the European ...
Apr 4, 2022
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Heart images may help to predict the risk of sudden cardiac death in heart attack survivors, according to the largest analysis of cardiac magnetic resonance (CMR) data to date. The late breaking research from the PROFID project ...
Apr 4, 2022
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Clinician-scientists in the Smidt Heart Institute at Cedars-Sinai developed a clinical algorithm that, for the first time, distinguishes between treatable sudden cardiac arrest and untreatable forms of the condition.
Mar 30, 2022
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Patients who survive a heart attack together with sudden cardiac arrest are at increased risk of dying within six years following hospital discharge.
Mar 7, 2022
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Medical computing scientists at King's College London have developed a new way to detect early warning signs of sudden cardiac arrest, by analyzing the shape of a person's heart with machine learning methods.
Dec 22, 2021
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