The COAPT trial found that the MitraClip device significantly reduced hospitalization rates and mortality, while improving quality-of-life measures and functional capacity in heart failure patients with secondary mitral regurgitation. The study also showed a substantial reduction in the need for heart transplants or left ventricular as...
A multicenter clinical trial found that the transcatheter mitral valve repair significantly reduced hospitalizations and mortality for heart failure patients with moderate-to-severe or severe functional mitral regurgitation. The procedure improved symptoms, quality of life, and survival rates.
Playing golf regularly is associated with increased longevity and reduced risk of heart disease, as well as improved mental health for those with disabilities. To maximize these benefits, golfers should aim to play for 150 minutes a week and prioritize sun protection and injury prevention.
A recent study evaluated the effects of combined individual- and community-level interventions to reduce underage drinking by American Indian/Alaska Native youths. Reports of drinking frequency declined among students in the intervention group relative to comparison groups, with significant reductions in heavy drinking frequency.
The SOLVE-TAVI trial found that local anesthesia is both safe and effective for patients undergoing transcatheter aortic valve replacement (TAVR), especially those with intermediate to high surgical risk. The study also showed similar outcomes between current-generation balloon-expandable and self-expanding valves.
The SCAI-WIN program aims to increase female participation in interventional cardiology. Megha Prasad has been selected for a $100,000 fellowship to develop complex and high-risk intervention skills.
A large study found that severe cases of prosthesis-patient mismatch after transcatheter aortic valve replacement increase the risk of death and heart failure readmissions by 19% and 12%, respectively. The study identified predictors of PPM, including smaller valve prostheses, larger body surface areas, and female or younger patients.
Researchers at the University of Surrey have successfully identified biomarkers in blood that can detect sleep deprivation. A machine learning algorithm detected changes in gene expression levels with 92% accuracy, paving the way for a future test to assess driver fitness.