The world is in the throes of an AFib pandemic, one that could potentially get worse in the years ahead due to population growth, economic hardships and rigid resource limitations. According to the Heart Rhythm Society, one way to effectively combat this issue is the development of more AFib Centers of Excellence.
Reviewing data from more than 6,000 patients, researchers found little evidence of the "obesity paradox" observed elsewhere. Underweight TAVR patients, however, may face some significant long-term risks.
Radiology practices are already operating on razor thin margins, with price increases prompting calls for congressional action to prevent further damage.
“MRI images provide a better view of the anatomy of the heart and the instruments used for treatment, but also of the changes made to the treated cardiac tissue,” one cardiologist explained. “Unlike X-ray images, the entire area surrounding the heart can be seen, including the blood vessels and valves."
Up to 50% of all patients face an intermediate risk of developing CAD, and the optimal treatment strategy for that population remains unclear. For this study, researchers explored data from more than 400 intermediate-risk patients with a family history of premature CAD.
Orchestra BioMed and Medtronic have worked together on the new therapy, which is designed to work automatically without patients needing to take any additional steps.
The Millipede 088 was designed to treat large vessel occlusion stroke patients by “ingesting” the blood clot as opposed to dragging it through the patient’s blood vessels.
Society of Cardiovascular Angiography and Interventions President James Hermiller, Jr., MD, explains SCAI's push for wider adoption of new, innovative cath lab radiation protection technology to reduce radiation exposure and the need for lead aprons.
The Myval TAVR valve. Image courtesy of Merit Life Sciences.
India-based Meril Life Sciences has been manufacturing its Myval transcatheter heart valves for years, but the technology has not yet gained FDA approval. This latest head-to-head comparison included data from more than 1,000 TAVR patients.
The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available.
