Model-based identification of PEEP titrations during different volemic levels

Area of Science:

• Physiology
• Biomedical Engineering
• Computational Modeling

Background:

• A validated cardiovascular system (CVS) model accurately simulates cardiac and circulatory diseases.
• Previous studies confirmed its ability to capture hemodynamic trends in porcine pulmonary embolism models.

Purpose of the Study:

• To present and validate a refined CVS model and parameter identification process.
• To enhance physiological representation by separating venous and arterial circulation.
• To assess the model's performance in a porcine experiment involving positive end-expiratory pressure (PEEP) titrations under varying volemic conditions.

Main Methods:

• An extended CVS model was developed with improved physiological representation of circulatory separation.
• A parameter identification process was applied to the extended model.
• The model's accuracy was validated using data from a porcine experiment with PEEP titrations and different volemic states.

Main Results:

• The identified model demonstrated errors within 5% when re-simulated against clinical data.
• Identified parameter trends aligned with clinically expected changes during PEEP titrations.
• The extended model accurately captured hemodynamic changes in the porcine model.

Conclusions:

• This research provides further clinical validation for the fundamental CVS model and its associated diagnostic methods.
• The study supports the use of this computational model for cardiovascular diagnosis in critical care settings.
• The refined model offers improved physiological realism for simulating complex circulatory dynamics.