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Model-based aortic power transfer: A potential measure for quantifying aortic stenosis severity based on measured

R Meiburg1, Jo M Zelis2, J Marcel van 't Veer3

  • 1Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands.

Medical Engineering & Physics
|March 30, 2021
PubMed
Summary

Current methods for grading aortic stenosis (AS) are insufficient. This study proposes evaluating power transfer efficiency from the left ventricle to the aorta as a novel metric for assessing AS severity.

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Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Medical Imaging and Diagnostics

Background:

  • Current grading of aortic stenosis (AS) relies on local valve properties like pressure gradients and jet velocity.
  • Suboptimal success rates of aortic valve replacement therapy necessitate exploring alternative grading methods.
  • Existing methods do not fully capture the complex interplay between the heart, valve, and circulatory system in AS.

Purpose of the Study:

  • To investigate the potential of power transfer efficiency as a novel metric for grading aortic stenosis severity.
  • To assess the heterogeneity and load dependency of aortic valve efficiency in patients with AS.
  • To determine if power transfer efficiency offers a more comprehensive assessment compared to traditional methods.

Main Methods:

  • Utilized a 0D mathematical model to estimate left ventricular and circulatory power.
  • Optimized the 0D model using patient-specific data, including left ventricular and aortic pressure, aortic flow, and diastolic left ventricular volume.
  • Employed a data assimilation method for model optimization.
  • Collected data at rest and during chemically induced exercise for twelve patients.

Main Results:

  • Aortic valve efficiency demonstrated significant heterogeneity among patients.
  • Power transfer efficiency was frequently dependent on the applied hemodynamic load.
  • The study highlights the variability in energy transfer across the aortic valve in AS patients.

Conclusions:

  • Power transfer efficiency is a promising and potentially more comprehensive metric for assessing aortic stenosis severity.
  • This metric's dependence on hemodynamic load suggests its utility in understanding AS progression and treatment response.
  • Further research into power transfer efficiency is warranted for improved clinical management of aortic stenosis.