Diastolic function in heart failure

Sándor J Kovács1

  • 1Cardiovascular Biophysics Laboratory, Cardiovascular Division, Department of Internal Medicine, Washington University School of Medicine, Department of Biomedical Engineering, School of Engineering and Applied Science, Washington University in St. Louis, St. Louis, MO, USA.

Insights

Diastolic heart failure (HFpEF) affects 50% of admissions, yet current treatments only manage load, not repair function. New methods using mathematical modeling offer a load-independent index for accurate diastolic function assessment.

Area of Science:

  • Cardiology and Cardiovascular Physiology
  • Biomedical Engineering and Mathematical Modeling

Background:

  • Heart failure, particularly heart failure with preserved ejection fraction (HFpEF), is a growing epidemic with a poor prognosis.
  • Current pharmacologic agents fail to address the underlying physiological deficits in HFpEF.
  • The complex physiology of diastole has been historically underemphasized in heart failure research.

Purpose of the Study:

  • To elucidate the true meaning and physiological basis of diastolic function.
  • To explain how to accurately measure diastolic function beyond conventional phenomenological metrics.
  • To introduce causality-based parameters derived from mathematical modeling for improved assessment.

Main Methods:

  • Review of fundamental physiological laws governing diastolic function.
  • Application of mathematical modeling to derive causality-based parameters.
  • Introduction of the parametrized diastolic function (PDF) formalism for quantitative characterization.

Main Results:

  • Demonstration that current therapies primarily manage cardiac load, not intrinsic diastolic function (chamber stiffness/relaxation).
  • Identification of new physiological insights, including left ventricular (LV) equilibrium volume and L-wave generation.
  • Availability of a load-independent index of diastolic function (LIIDF).

Conclusions:

  • Accurate assessment of diastolic function requires metrics grounded in physiological mechanisms, quantifying the heart's suction pump attribute.
  • Conventional indices (e.g., E/A, E/E') are insufficient; causality-based parameters are necessary for meaningful clinical evaluation.
  • The PDF formalism provides a robust method for quantitative characterization of diastolic function in heart failure.

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