Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

A recent study utilized a machine learning-based approach to identify, understand, and predict diuretic responsiveness in patients with acute decompensated heart failure (ADHF). A recent study ...

A recent study co-authored by Dr. Matthew Segar, a third-year cardiovascular disease fellow at The Texas Heart Institute and led by his research and residency mentor, University of Texas Southwestern ...

In the United States, about 6.2 million adults have been diagnosed with heart failure, according to the Centers for Disease Control and Prevention (CDC). Heart failure is a chronic condition, and ...

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During Heart Month, ProMedica highlights treatable heart failure, new therapies and how patients can access expert care close to home.

Heart failure has historically been irreversible, but the outcome of a new study suggests that could someday change. At the University of Utah, scientists used a new gene therapy that was shown to ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Heart failure means the heart is not pumping blood as well as it should. It does not mean the heart has stopped working. Instead, the heart may be too weak to pump strongly or too stiff to fill ...