Join Us When you become a member of the American College of Cardiology, you join a global community of cardiovascular professionals driven to transform cardiovascular care and improve heart health.

A unique blend of forum and network, the Cardiovascular (CV) Team Member Section and Leadership Council is advancing ACC's efforts to identify and address gaps in areas of professional importance to ...

Several cardiovascular risk factors, such as advanced age and smoking history, are prevalent among lung cancer patients at the time of the diagnosis and increase their risk of future heart disease, ...

In-person registration is now SOLD OUT. Join us for Advancing the Cardiovascular Care of the Oncology Patient virtually to reconnect with your peers, and the faculty. Advancing the Cardiovascular Care ...

JACC: Advances is seeking submissions of high-impact papers for a special issue focused on implementation science and cardiovascular learning health systems (LHS). Submissions can range from pragmatic ...

With your help, ACC Advocacy actively works with Congress, state legislators, and other key decision makers to transform cardiovascular care and improve heart health. However, we need everyone's voice ...

Restricting sodium content in processed foods reduced blood pressure (BP) in one study and using a salt substitute reduced risks of stroke recurrence and death in another study, both published Feb. 5 ...

Patients with significant tricuspid regurgitation (TR) at intermediate disease stage were more likely to survive at one year when treated via tricuspid transcatheter edge-to-edge-repair (T-TEER) when ...

Additional rhythm-control strategies are frequently continued after index ablation for atrial fibrillation (AFib), according to a study published Feb. 12 in JACC: Clinical Electrophysiology. One in ...

In this week’s View, Dr. Eagle looks at cardiac rehabilitation for people with heart failure. He then discusses managing cardiovascular (CV) disease in cancer survivors who have completed cancer ...

A novel causal machine learning algorithm can determine which patients with atrial fibrillation (AFib) are more likely to benefit from left atrial appendage occlusion (LAAO) compared with ...