Clinical, Radiographic, and Microbiologic Features of Infective Endocarditis in Patients With Hypertrophic

Jason R Sims1, Nandan S Anavekar2, Subir Bhatia1

  • 1Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota.

Insights

Infective endocarditis (IE) in hypertrophic cardiomyopathy (HC) patients shows similar rates of aortic and mitral valve involvement, challenging previous assumptions. This study found a low one-year mortality rate of 7% in this patient group.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Cardiovascular Surgery

Background:

  • Infective endocarditis (IE) presents significant morbidity and mortality.
  • Hypertrophic cardiomyopathy (HC) is associated with increased IE risk, but data are limited.
  • Understanding IE in HC patients is crucial for risk stratification and management.

Purpose of the Study:

  • To define the clinical phenotype of infective endocarditis in patients with hypertrophic cardiomyopathy.
  • To investigate the patterns of valve involvement and outcomes in this specific patient cohort.
  • To challenge existing tenets regarding the association between HC and IE.

Main Methods:

  • Retrospective cohort study at a single tertiary care center.
  • Inclusion of 30 adult patients diagnosed with HC and IE between 2006 and 2016.
  • Analysis of valve involvement (aortic vs. mitral), embolic complications, surgical interventions, and mortality.

Main Results:

  • Similar rates of aortic (47%) and mitral (53%) valve involvement by IE were observed.
  • This pattern persisted even in patients with left-ventricular outflow tract obstruction.
  • Symptomatic embolic complications occurred in 33% of cases, and 37% underwent surgery.
  • One-year mortality was notably low at 7%.

Conclusions:

  • The largest single-center cohort of IE complicating HC reveals similar mitral and aortic valve involvement, irrespective of left ventricular outflow tract obstruction.
  • This finding contradicts long-standing beliefs about HC and IE associations.
  • No specific IE subset at high risk was identified based on HC-related parameters.

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