Related Experiment Video
Updated: Jul 11, 2025

09:09
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
1.8K
Validation of a Multiscale Computational Model Using a Mock Circulatory Loop to Simulate Cardiogenic Shock.
Christian Contarino1, Francesco Chifari1, Gavin A D'Souza2
1From the Research and Development, Computational Life Inc., Wilmington, Delaware.
Summary
This study models cardiogenic shock hemodynamics using a validated computational approach. Cardiac cycle time significantly impacts uncertainty in aortic and left ventricular pressures and flows.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Cardiovascular Physiology
Background:
- Cardiogenic shock (CS) presents complex hemodynamic challenges.
- Accurate computational modeling is crucial for understanding CS.
- Validation against experimental data ensures model reliability.
Purpose of the Study:
- To characterize cardiogenic shock (CS) hemodynamics using a validated computational model.
- To perform sensitivity and uncertainty propagation analyses following ASME V&V guidelines.
- To identify key sources of uncertainty in hemodynamic parameters.
Main Methods:
- Developed and validated a computational model against a mock circulatory loop (MCL).
- Quantified uncertainties in cardiac cycle time, total resistance, and total volume in the MCL.
- Propagated quantified uncertainties through the computational model.
Main Results:
- Cardiac cycle time was identified as the primary source of uncertainty.
- Total resistance most significantly impacted aortic (Ao) hemodynamics uncertainty.
- Total volume primarily affected left ventricle (LV) pressure and Ao flow uncertainty in late systole.
- Discrepancies between computational and experimental results suggest uncaptured factors.
Conclusions:
- Computational models, validated with experimental data, are valuable for CS research.
- Understanding uncertainty sources is critical for accurate hemodynamic predictions in CS.
- Further research is needed to incorporate additional factors influencing CS hemodynamics.

