Replication of pressure-volume loop with controllable ESPVR and EDPVR curves on a personalized mock circulatory loop...

Area of Science:

• Biomedical Engineering
• Cardiovascular Research
• Medical Device Testing

Background:

• Left ventricular assist devices (LVADs) require robust in vitro evaluation of their hemodynamic impact on the left ventricle (LV) before implantation.
• Existing mock circulatory loops (MCLs) often oversimplify cardiac function, limiting their ability to simulate diverse heart failure (HF) states.
• Patient-specific simulation is crucial due to the wide variability in HF severity and presentation.

Purpose of the Study:

• To develop an advanced MCL capable of mimicking patient-specific pressure-volume loops.
• To enable simulation of varying degrees of systolic and diastolic dysfunction in the left ventricle (LV).
• To improve the pre-surgical evaluation of LVADs by providing a more accurate in vitro model.

Main Methods:

• Utilized two numerical elastance models derived from patient-specific pressure-volume loop templates.
• Controlled the LV simulator within the MCL using these models to replicate different HF severities.
• Scaled the numerical elastance models to adjust the slopes of end-systolic (ESPVR) and end-diastolic (EDPVR) pressure-volume relationships.

Main Results:

• Successfully simulated various degrees of heart failure (HF), including systolic and diastolic dysfunction, within the MCL.
• Generated experimental pressure-volume loops that closely matched theoretical predictions.
• Demonstrated the feasibility of creating a patient-customizable MCL for LVAD testing.

Conclusions:

• The developed numerical elastance models allow for accurate, patient-specific simulation of left ventricular (LV) function in an MCL.
• This customizable MCL platform offers a significant advancement for evaluating LVADs under realistic, patient-specific hemodynamic conditions.
• The approach provides a more effective in vitro method for assessing LVAD performance prior to clinical implantation.