CV podcast: Personalized computational heart models to predict sudden death risk in hypertrophic cardiomyopathy

Enhancing the diagnosis of a silent killer

Hypertrophic cardiomyopathy occurs when the heart becomes thickened (hypertrophied), making it harder for it to pump blood throughout the body. Hypertrophic cardiomyopathy often goes undiagnosed because many people with the disease have few, if any, symptoms, which makes timely diagnosis and proper risk stratification critical.

In this episode of the “Mayo Clinic Cardiovascular CME” podcast, Ryan O’Hara, a Ph.D. candidate in biomedical engineering at Johns Hopkins University, joins host Anthony Kashou, M.D., to discuss hypertrophic cardiomyopathy and how personalized computational heart models can be used to improve the risk stratification of these patients.

Specific topics of discussion include:

  • How hypertrophic cardiomyopathy affects the heart.
  • The risks associated with hypertrophic cardiomyopathy.
  • How sudden cardiac death risk is clinically stratified in patients with hypertrophic cardiomyopathy.
  • How computational, or virtual, hearts can be used clinically.

Listen to the full episode here.

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Cory Pedersen

Cory Pedersen is a senior marketing specialist for Mayo Clinic Laboratories.