When Alicia Bravo saw the EMS service in her childhood hometown was holding a 5K race to raise money for a mechanical chest compression system, she signed up right away.
Jan 10, 2020
0
3
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
0
2
A new study of patients who died of sudden cardiac arrest, a usually fatal condition that causes the heart to stop beating, shows the majority who qualified to receive potentially lifesaving treatment did not receive it.
Sep 24, 2013
0
0
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
0
77
According to a broad European study involving multiple medical institutes, patients with diabetes do not benefit from implantable cardioverter defibrillator (ICD) pacemakers.
Nov 21, 2019
0
2
Researchers and regulators are working quickly to learn more about potentially dangerous interactions between implanted medical devices and an ever-widening array of consumer gadgets that contain powerful magnets.
Jul 28, 2021
0
65
An international clinical trial that studied wearable cardioverter defibrillators (WCDs) found that the devices did not significantly reduce sudden cardiac death—the primary goal of the device—among patients assigned ...
Sep 26, 2018
0
33
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
0
4
Patients with dyssynchronous yet viable ventricles are most likely to benefit from cardiac resynchronization therapy combined with defibrillation, concludes the latest analysis of the MADIT CRT trial. The CRT-MADIT-CRT trial ...
May 22, 2011
0
0
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
0
39
