That's why cardiologists, researchers and other heart experts will converge on Chicago this week to learn, share and expand their understanding of how to defeat the number one killer in the world during the American College of Cardiology’s 65th Annual Scientific Session & Expo.
During the three-day conference, cardiologists and researchers from the Intermountain Medical Center Heart Institute will share results from studies related to testosterone, waist circumference, vitamin D, and depression, and their relationship to heart health.“We are currently involved in more than 100 research studies focused on improving the ability to prevent or treat heart disease,” said Donald Lappe, Chief of Cardiology at the Intermountain Medical Center Heart Institute in Salt Lake City. “We’re honored for the opportunity to share a few of our research findings and look forward to continued collaboration with our colleagues from around the world.”
Eight research abstracts scheduled for presentation at the conference include:
- Waist circumference as a strong predictor of regional left ventricular dysfunction in asymptomatic diabetic patients: The FaCTor-64 Study.
- Relative decreases in myocardial blood flow are suggestive of angiographically significant stenosis.
- Myocardial stress flows in obstructive CAD are higher with Regadenoson than Dipyridamole.
- Can effective treatment of depression reduce future cardiovascular risk?
- Which vitamin D metabolites best predicts future adverse cardiovascular events? Results from the Intermountain Heart Collaborative Study.
- Differential association of high-density lipoprotein particle subclasses and GlycA, a novel inflammatory marker, in predicting cardiac death among patients undergoing angiography: The Intermountain Heart Collaborative Study.
- Clinical effects of testosterone supplementation among hypo-androgenic men with pre-existing severe coronary artery disease: The Intermountain Heart Collaborative Study.
- Spontaneous coronary artery dissection: Evaluation of risk associations and predictors of recurrence.