A numerical analysis of the aortic blood flow pattern during pulsed cardiopulmonary bypass

V Gramigna1, M V Caruso, M Rossi

  • 1a Bioengineering Unit, Magna Graecia University , Catanzaro , Italy.

Insights

Intra-aortic balloon pump (IABP) use during cardiopulmonary bypass (CPB) improves blood flow to epiaortic vessels, reducing stroke risk after heart surgery. This study numerically investigated these beneficial hemodynamic effects.

Area of Science:

  • Cardiovascular Science
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Stroke is a significant complication following cardiac surgery, often linked to cardiopulmonary bypass (CPB) techniques.
  • Despite advancements in CPB, reducing the incidence of postoperative stroke remains a critical clinical challenge.

Purpose of the Study:

  • To numerically investigate the impact of intra-aortic balloon pump (IABP) assistance on blood flow dynamics in the aorta and epiaortic vessels during standard and pulsed CPB.
  • To evaluate the hemodynamic alterations induced by IABP during CPB and their potential to mitigate stroke risk.

Main Methods:

  • Development of a validated multi-scale model coupling 3D computational fluid dynamics (CFD) with a 0D model.
  • Numerical simulation of blood flow in the aorta and epiaortic vessels under standard and pulsed CPB conditions with and without IABP.
  • In vivo data were utilized for model validation.

Main Results:

  • The presence of IABP demonstrated an improvement in the blood flow pattern directed towards the epiaortic vessels.
  • A mean flow increase of 6.3% was observed in the epiaortic vessels with IABP assistance.
  • IABP usage was associated with a reduction in flow vorticity within the aorta and epiaortic arteries.

Conclusions:

  • IABP-assisted CPB can positively alter hemodynamics, enhancing flow to critical epiaortic vessels.
  • The observed improvements in flow pattern and reduced vorticity suggest a potential mechanism for decreasing stroke incidence after cardiac surgery.
  • Numerical modeling provides valuable insights into optimizing CPB strategies for stroke prevention.