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Related Experiment Videos

Heart rate turbulence.

Axel Bauer1, Georg Schmidt

  • 1Deutsches Herzzentrum München and 1 Medizinische Klinik der Technischen Universität München, Germany.

Journal of Electrocardiology
|January 13, 2004
PubMed
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Heart rate turbulence, a new risk stratification method, identifies high-risk patients after myocardial infarction. Its absence predicts increased mortality, aiding in sudden cardiac death prevention strategies.

Area of Science:

  • Cardiology
  • Physiology
  • Medical Technology

Background:

  • Survivors of acute myocardial infarction (AMI) face a heightened risk of sudden cardiac death.
  • Autonomic cardioverter defibrillators have shown efficacy in reducing mortality in high-risk post-AMI patients.
  • Accurate risk stratification is crucial for effective post-myocardial infarction management.

Purpose of the Study:

  • To introduce and evaluate heart rate turbulence (HRT) as a novel risk stratification tool.
  • To assess the predictive value of HRT for mortality in post-myocardial infarction patients.
  • To explore the potential application of HRT in other cardiac conditions.

Main Methods:

  • Quantification of short-term sinus rhythm cycle length fluctuations following ventricular premature complexes.

Related Experiment Videos

  • Measurement of turbulence onset and turbulence slope.
  • Statistical adjustment for established mortality predictors like ejection fraction and heart rate variability.

    • Main Results:

    • Heart rate turbulence is a consistent finding in low-risk ischemic heart disease patients.
    • The absence of heart rate turbulence is a significant predictor of increased subsequent mortality.
    • HRT measures (turbulence onset, turbulence slope) are strong independent predictors of mortality.

    Conclusions:

    • Heart rate turbulence offers a valuable new method for risk stratification in post-myocardial infarction patients.
    • The absence of HRT indicates a significantly elevated risk for sudden cardiac death.
    • HRT shows promise for risk prediction in conditions beyond myocardial infarction, including dilated cardiomyopathy and Chagas disease.