AI Article Synopsis

  • This study focused on creating a specific model to evaluate the severity of aortic regurgitation (AR) in patients with continuous-flow left ventricular assist devices (LVAD), as there is no standard method for assessing AR in these cases.
  • Researchers developed an echo-compatible flow loop using a 3D-printed left heart model from a patient with known significant AR and measured forward flow and regurgitant volume at various LVAD speeds.
  • Results showed that the model successfully replicated the hemodynamics of AR in the patient, allowing for reliable measurements that can assist in studying echocardiographic parameters and improving clinical care for LVAD patients.

Article Abstract

Background: Aortic regurgitation (AR) occurs commonly in patients with continuous-flow left ventricular assist devices (LVAD). No gold standard is available to assess AR severity in this setting. Aim of this study was to create a patient-specific model of AR-LVAD with tailored AR flow assessed by Doppler echocardiography.

Methods: An echo-compatible flow loop incorporating a 3D printed left heart of a Heart Mate II (HMII) recipient with known significant AR was created. Forward flow and LVAD flow at different LVAD speed were directly measured and AR regurgitant volume (RegVol) obtained by subtraction. Doppler parameters of AR were simultaneously measured at each LVAD speed.

Results: We reproduced hemodynamics in a LVAD recipient with AR. AR in the model replicated accurately the AR in the index patient by comparable Color Doppler assessment. Forward flow increased from 4.09 to 5.61 L/min with LVAD speed increasing from 8,800 to 11,000 RPM while RegVol increased by 0.5 L/min (2.01 to 2.5 L/min).

Conclusions: Our circulatory flow loop was able to accurately replicate AR severity and flow hemodynamics in an LVAD recipient. This model can be reliably used to study echo parameters and aid clinical management of patients with LVAD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945256PMC
http://dx.doi.org/10.3389/fcvm.2023.994431DOI Listing

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