Creating virtual ARDS patients.

Area of Science:

• Physiology
• Computational Biology
• Medical Simulation

Background:

• Acute Respiratory Distress Syndrome (ARDS) presents complex cardiovascular and pulmonary pathophysiology.
• Patient-specific modeling requires accurate integration of physiological systems.
• Current models may lack the granularity for precise therapeutic evaluation.

Purpose of the Study:

• To present a methodology for patient-specific calibration of a novel integrated cardiovascular and pulmonary model for ARDS.
• To validate the model's accuracy using clinical data from ARDS patients.
• To establish a foundation for creating a virtual biobank of ARDS patients.

Main Methods:

• Utilized data from clinical trials on ARDS patients' cardio-pulmonary responses to ventilator changes.
• Employed a multi-stage, optimization-based methodology for parameter identification.
• Developed a highly integrated model encompassing cardiovascular and pulmonary systems.

Main Results:

• The calibrated model accurately reproduced static and dynamic cardio-pulmonary responses observed in clinical data.
• Computational simulations validated the model's predictive capabilities.
• The methodology proved effective for patient-specific model calibration.

Conclusions:

• The developed integrated model offers a robust platform for simulating ARDS pathophysiology.
• This work enables the creation of in silico virtual ARDS patient biobanks.
• The virtual biobank can facilitate the evaluation of existing and novel therapeutic strategies for ARDS.