Computational Analysis Of Pediatric Ventricular Assist Device Implantation To Decrease Cerebral Particulate Embolization
Keywords
anastomosis; aortic arch; circulatory assist devices; computer applications; pediatric heart surgery; stroke
Abstract
Stroke is the most devastating complication after ventricular assist device (VAD) implantation with a 19% incidence and 65% mortality in the pediatric population. Current pediatric VAD technology and anticoagulation strategies alone are suboptimal. VAD implantation assisted by computational methods (CFD) may contribute reducing the risk of cerebral embolization. Representative three-dimensional aortic arch models of an infant and a child were generated. An 8 mm VAD outflow-graft (VAD-OG) anastomosed to the aorta was rendered and CFD was applied to study blood flow patterns. Particle tracks, originating in the VAD, were computed with a Lagrangian phase model and the percentage of particles entering the cerebral vessels was calculated. Eight implantation configurations (infant = 5 and child = 3) and 5 particle sizes (0.5, 1, 2, 3, and 4 mm) were considered. For the infant model, percentage of particles entering the cerebral vessels ranged from 15% for a VAD-OG anastomosed at 90° to the aorta, to 31% for 30° VAD-OG anastomosis (overall percentages: X2 = 10,852, p < 0.0001). For the child model, cerebral embolization ranged from 9% for the 30° VAD-OG anastomosis to 15% for the 60° anastomosis (overall percentages: χ2 = 10,323, p < 0.0001). Using detailed CFD calculations, we demonstrate that the risk of stroke depends significantly on the VAD implantation geometry. In turn, the risk probably depends on patient-specific anatomy. CFD can be used to optimize VAD implantation geometry to minimize stroke risk.
Publication Date
5-18-2016
Publication Title
Computer Methods in Biomechanics and Biomedical Engineering
Volume
19
Issue
7
Number of Pages
789-799
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/10255842.2015.1062478
Copyright Status
Unknown
Socpus ID
84955663647 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84955663647
STARS Citation
Nguyen, Thuy Tien; Argueta-Morales, I. Ricardo; Guimond, Stephen; Clark, William; and Ceballos, Andres, "Computational Analysis Of Pediatric Ventricular Assist Device Implantation To Decrease Cerebral Particulate Embolization" (2016). Scopus Export 2015-2019. 3610.
https://stars.library.ucf.edu/scopus2015/3610