Noninvasive evaluation of left ventricular afterload: part 1: pressure and flow measurements and basic principles of

Julio A Chirinos1, Patrick Segers

  • 1Department of Medicine, Philadelphia Veterans' Affairs Medical Center-University of Pennsylvania, Philadelphia, Pa, USA. julio.chirinos@uphs.upenn.edu

Insights

Left ventricular afterload is best understood through pressure-flow relations, not just pressure alone. Noninvasive techniques and biomechanical models offer insights into cardiovascular function and disease.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering

Background:

  • Left ventricular afterload significantly impacts cardiovascular function, both normal and abnormal.
  • Afterload is a complex, dynamic process influenced by pressure and flow, not a single metric.
  • Understanding afterload is crucial for diagnosing cardiovascular diseases and evaluating treatments.

Purpose of the Study:

  • To review noninvasive methods for measuring central pressure and flow.
  • To explain the concepts of wave conduction and reflection in central pressure-flow relations.
  • To guide researchers and clinicians in applying and interpreting afterload analyses.

Main Methods:

  • Utilizing high-fidelity arterial applanation tonometry for noninvasive central pressure measurement.
  • Employing Doppler echocardiography and phase-contrast MRI for accurate aortic flow assessment.
  • Applying simplified biomechanical models to analyze central pressure and flow data.

Main Results:

  • Central pressure and flow data can be analyzed using biomechanical models to characterize afterload components.
  • Noninvasive techniques provide accurate assessments of pressure and flow dynamics.
  • These methods offer mechanistic insights into hemodynamics and cardiovascular disease.

Conclusions:

  • Left ventricular afterload is best characterized by pressure-flow relationships.
  • Noninvasive measurements combined with biomechanical modeling enhance understanding of cardiovascular hemodynamics.
  • This approach aids in clinical and epidemiological settings for cardiovascular disease research.