Cardiac MRI and blood markers sharpen hypertrophic cardiomyopathy risk prediction

Findings from a new study have identified a new model for predicting outcomes for hypertrophic cardiomyopathy (HCM), a heart condition with a prevalence of one in 500 people and a frequent cause of sudden cardiac death.

Specifically, the findings demonstrate that incorporating prospective data including clinical history, imaging, and blood biomarker data into risk assessment can improve prediction of adverse cardiac events in people with HCM.

Findings from the large, international study, called the Hypertrophic Cardiomyopathy Registry, were published in JAMA.

“Current risk prediction guidelines for hypertrophic cardiomyopathy are imperfect, as they predict only sudden cardiac death, and not heart failure or other fatal and nonfatal cardiac adverse events,” said Christopher Kramer, M.D., a principal investigator of the study and cardiologist at the Heart and Vascular Center of the University of Virginia Health System.

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