Impact of left atrial appendage occlusion device position on potential determinants of device-related thrombus: a patient-specific in silico study

Zhaoyang Zhong, Yiting Gao, Soma Kovács, Vivian Vij, Dominik Nelles, Lukas Spano, Georg Nickenig, Simon Sonntag, Ole De Backer, Lars Søndergaard, Alexander Sedaghat, Petra Mela

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Device-related thrombus (DRT) after left atrial appendage occlusion (LAAO) is potentially linked to adverse events. Although clinical reports suggest an effect of the device type and position on the DRT risk, in-depth studies of its mechanistic basis are needed. This in silico study aimed to assess the impact of the position of non-pacifier (Watchman) and pacifier (Amulet) LAAO devices on surrogate markers of DRT risk. Methods: The LAAO devices were modeled with precise geometry and virtually implanted in different positions into a patient-specific left atrium. Using computational fluid dynamics, the following values were quantified: residual blood, wall shear stress (WSS) and endothelial cell activation potential (ECAP). Results: In comparison to an ostium-fitted device position, deep implantation led to more residual blood, lower average WSS and higher ECAP surrounding the device, especially on the device’s atrial surface and the surrounding tissue, suggesting increased risk for potential thrombus. For the non-pacifier device, an off-axis device orientation resulted in even more residual blood, higher ECAP and similar average WSS as compared to an ostium-fitted device position. Overall, the pacifier device showed less residual blood, higher average WSS and lower ECAP, compared to the non-pacifier device. Conclusions: In this in silico study, both LAAO device type and implant position showed an impact on potential markers of DRT in terms of blood stasis, platelet adhesion and endothelial dysfunction. Our results present a mechanistic basis for clinically observed risk factors of DRT and the proposed in silico model may aid in the optimization of device development and procedural aspects. Graphical abstract: [Figure not available: see fulltext.]

Keywords

  • Computational fluid dynamics
  • Device-related thrombus
  • Left atrial appendage occlusion
  • Patient-specific modeling

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