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Experiments and Simulations to Assess Exercise-Induced Pressure Drop Across Aortic Coarctations
Priya J Nair1,2, Emanuele Perra3,4, Doff B McElhinney5,2
1Department of Bioengineering, Stanford University, Stanford, CA 94305.
Insights
Assessing blood pressure gradient (ΔP) during exercise in aortic coarctation (CoA) is crucial. A hybrid mock circulatory loop (HMCL) and simulations accurately measured exercise-induced ΔP, revealing patient-specific hemodynamic responses beyond resting values.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Medical Imaging
Background:
- Aortic coarctation (CoA) severity is typically assessed by invasive blood pressure gradient (ΔP) measurements.
- Clinical assessments often underestimate the functional burden of CoA by not accounting for exercise-induced hemodynamic changes.
Purpose of the Study:
- To evaluate exercise-induced ΔP in patients with CoA using a hybrid mock circulatory loop (HMCL).
- To compare HMCL results with fluid-structure interaction (FSI) simulations for noninvasive assessment of CoA hemodynamics.
Main Methods:
- Patient-specific aortic phantoms were created from 4D-Flow MRI data.
- Phantoms were integrated into an HMCL simulating patient-specific rest and exercise conditions.
- FSI simulations using simvascular were performed for comparison with HMCL data.
Main Results:
- Mean ΔP increased nonlinearly with cardiac output (CO), showing patient-specific trends.
- HMCL and FSI simulations demonstrated excellent agreement in ΔP changes with CO (1.6±1.1 mmHg error).
- The study highlights the importance of assessing exercise hemodynamics in CoA.
Conclusions:
- HMCL and FSI simulations provide a noninvasive method to assess patient-specific exercise hemodynamics in CoA.
- Validated FSI simulations can be used independently for future assessments, reducing the need for complex HMCL experiments.
- This approach facilitates a comprehensive evaluation of CoA severity beyond resting measurements.
Abstract:
Blood pressure gradient (ΔP) across an aortic coarctation (CoA) is an important measurement to diagnose CoA severity and guide treatment. While invasive cardiac catheterization is the clinical gold-standard for measuring ΔP, it requires anesthesia and does not capture the effects of daily activity or exercise, potentially underestimating the disease's functional burden. This study aimed to identify patients with functionally significant CoA by evaluating exercise-induced ΔP using a hybrid mock circulatory loop (HMCL). Patient-specific aorta geometries (N = 5) of patients with CoA were generated from 4D-Flow magnetic resonance imaging (MRI) scans, then three dimensional (3D)-printed to create compliant aortic phantoms. The phantoms were incorporated into an HMCL with flow and pressure waveforms tuned to patient-specific rest and exercise states. Matched fluid-structure interaction (FSI) simulations were performed using simvascular for comparison. Results showed that mean ΔP increased nonlinearly with cardiac output (CO), with trends differing between patients. HMCL and FSI simulations exhibited excellent agreement in trends of ΔP change with CO, with minimal error of 1.6±1.1 mmHg. This study emphasizes the need for assessing exercise CoA hemodynamics beyond resting ΔP measurements. Overall, HMCLs and FSI simulations enable assessment of patient-specific hemodynamic response to exercise unattainable in clinical practice, thereby facilitating a comprehensive noninvasive assessment of CoA severity. Further, the excellent agreement between HMCL and FSI results indicates that our validated FSI approach can be used independently to assess exercise CoA hemodynamics hereafter, eliminating the need for repeated complex HMCL experiments.
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