New Studies: AI Captures Electrocardiogram Patterns That Could Signal a Future Sudden Cardiac Arrest

Two new studies by Cedars-Sinai investigators support using artificial intelligence (AI) to predict sudden cardiac arrest—a health emergency that in 90% of cases leads to death within minutes.

Cardiac Arrest: Hispanics, Latinos With Kidney Disease at High Risk

Hispanics and Latinos with chronic kidney disease are at significant risk for suffering from sudden cardiac arrest, according to a new study from the Smidt Heart Institute at Cedars-Sinai.

Study: Individuals Feel Sex-Specific Symptoms Before Impending Cardiac Arrest

Investigators from the Smidt Heart Institute at Cedars-Sinai are one step closer to helping individuals catch a sudden cardiac arrest before it happens, thanks to a study published today in the peer-reviewed journal The Lancet Digital Health.

Nationwide Children’s Hospital Emphasizes Importance of Lifesaving AED & CPR Training for Schools and Communities

While sudden cardiac arrest is rare, it can happen to anyone at any time – including children, non-athletes and healthy individuals. Educating youth and adults to act swiftly and use an AED when they witness medical emergencies can help save lives. The AED is a portable electronic device that automatically diagnoses potentially life-threatening heart rhythms and delivers a shock only if necessary.

MEDIA ADVISORY: AAP 2022 to Feature Cedars-Sinai Guerin Children’s Clinicians and Researchers

Cedars-Sinai Guerin Children’s pediatric specialists will share their expertise and recent research findings at the American Academy of Pediatrics Annual Meeting, taking place Oct. 7-11 in Anaheim, California.

Genetic Score Detects Those at Risk for Sudden Cardiac Death

Researchers in the Smidt Heart Institute at Cedars-Sinai are one step closer to identifying patients at highest risk for developing sudden cardiac death—an electrical malfunction in the heart that causes it to stop beating.

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…