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Functional analysis of Fontan energy dissipation
Lakshmi P Dasi1, Kerem Pekkan, Hiroumi D Katajima
1Wallace H. Coulter School of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0535, USA.
Hydrodynamic energy dissipation in the total cavopulmonary connection (TCPC) was modeled. Energy loss depends on flow variables and anatomy, offering a predictive tool for clinical use.
Area of Science:
- Cardiovascular fluid dynamics
- Biomedical engineering
- Pediatric cardiology
Background:
- The total cavopulmonary connection (TCPC) is a surgical procedure to redirect venous blood to the lungs in complex congenital heart disease.
- Understanding energy dissipation in the TCPC is crucial for optimizing hemodynamics and patient outcomes.
- Existing models may not fully capture the complex interplay of physiological and anatomical factors influencing energy loss.
Purpose of the Study:
- To formalize and model hydrodynamic energy dissipation in the TCPC.
- To investigate the influence of key flow variables and geometric characteristics on energy loss.
- To develop a clinically useful, predictive model for TCPC energy dissipation.
Main Methods:
- Dimensional analysis was used to formalize energy dissipation.
- A mathematical model was developed based on governing flow variables (cardiac output, flow split, body surface area, Reynolds number).
- In vitro energy loss data from six patient anatomies were used for validation and model development.
Main Results:
- Energy dissipation is a cubic function of pulmonary flow split within the physiological range.
- Non-dimensional energy dissipation depends solely on Reynolds number and geometry.
- Non-dimensional energy dissipation decreases with Reynolds number (Re(-0.25)) and correlates with minimum pulmonary artery area (power law decay, -5/4) at high Reynolds numbers.
Conclusions:
- A simple analytical form for energy dissipation rate in patient-specific TCPCs was established.
- The model accurately captures the effects of cardiac output, flow split, body surface area, Reynolds number, and pulmonary artery size.
- Further research with larger cohorts is needed to include finer geometric details.
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