New Tool Predicts Sudden Death in Inflammatory Heart Disease

Johns Hopkins University scientists have developed a new tool for predicting which patients suffering from a complex inflammatory heart disease are at risk of sudden cardiac arrest. Published in Science Advances, their method is the first to combine models of patients’ hearts built from multiple images with the power of machine learning.

20-year Mayo Clinic study suggests return to play is manageable for athletes with most genetic heart diseases

Receiving the diagnosis of a genetic heart disease such as long QT syndrome, which can cause sudden cardiac death, has long been a game-ender for young athletes. But a 20-year study at Mayo Clinic following such athletes who were allowed to return to play suggests that the risks can be managed through a shared decision-making process. The retrospective study findings will be presented at the annual meeting of the Heart Rhythm Society on Tuesday, July 27, and simultaneously published in the Journal of the American College of Cardiology.

‘M-RISE’ Research Program Aims to Prevent Brain Damage Caused by Cardiac Arrest

ANN ARBOR, Mich. – For the more than 350,000 Americans that experience an out-of-hospital cardiac arrest each year, less than 1 in 10 of those treated will survive with good neurologic function. “Survival for these patients decreases with every minute there is a delay…