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Ventricular efficiency predicted by an analytical model.

D Burkhoff, K Sagawa

    The American Journal of Physiology
    |June 1, 1986
    PubMed
    Summary
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    This study models ventricular efficiency, showing that optimal afterload for efficiency differs from maximum stroke work. Heart conditions significantly impact sensitivity to afterload changes.

    Area of Science:

    • Cardiovascular Physiology
    • Biomedical Engineering
    • Computational Biology

    Background:

    • Ventricular stroke work (SW) and oxygen consumption (O2) are key cardiac performance metrics.
    • Ventricular efficiency, the ratio of SW to O2 consumption, is crucial for understanding cardiac function.
    • Existing models often lack comprehensive integration of ventricular and arterial properties.

    Purpose of the Study:

    • To derive analytic expressions for ventricular SW, O2 consumption, and efficiency.
    • To investigate the relationship between ventricular contractile properties, arterial afterload, and cardiac efficiency.
    • To analyze how cardiac conditions influence the sensitivity of SW and efficiency to afterload.

    Main Methods:

    • Utilized recent literature data to develop mathematical models.

    Related Experiment Videos

  • Quantified ventricular properties using end-systolic elastance (Ees) and V0.
  • Represented ventricular afterload using effective arterial elastance (Ea) and estimated O2 consumption via pressure-volume area.

    • Main Results:

    • Derived analytic expressions for SW, O2 consumption, and ventricular efficiency.
    • Identified that maximum SW occurs when Ea = Ees.
    • Demonstrated that optimal afterload for efficiency is less than that for maximum SW, and weaker hearts are more sensitive to afterload changes.

    Conclusions:

    • Ventricular efficiency exhibits a sigmoidal relationship with end-diastolic volume, peaking outside physiological ranges.
    • Under physiological conditions, cardiac adaptation may prioritize efficiency optimization over maximizing SW.
    • The derived models provide insights into cardiac mechanics and efficiency regulation.