Key result
Patient-specific computer simulation of TAVR in bicuspid aortic valve accurately predicted more than mild paravalvular regurgitation (AUC 0.86) and major conduction abnormalities (AUC 0.88).
Why the study?
Although patient-specific TAVR computer simulation was developed for tricuspid aortic valves, its validity in bicuspid aortic valve morphology and the potential of patient-specific THV sizing and positioning to improve outcomes remained to be determined.
Does patient-specific computer simulation of TAVR accurately predict paravalvular regurgitation and conduction abnormalities in patients with bicuspid aortic valve?
Observational (n=37)
Does patient-specific computer simulation of TAVR accurately predict paravalvular regurgitation and conduction abnormalities in patients with bicuspid aortic valve?
Patient-specific computer simulation of TAVR in bicuspid aortic valves accurately predicts frame deformation, paravalvular regurgitation, and conduction abnormalities, suggesting optimal sizing and positioning could improve clinical outcomes.
May inform TAVR planning in bicuspid valves; hypothesis-generating for outcome improvement in prospective trials.
BACKGROUND: A patient-specific computer simulation of transcatheter aortic valve replacement (TAVR) in tricuspid aortic valve has been developed, which can predict paravalvular regurgitation and conduction disturbance. We wished to validate a patient-specific computer simulation of TAVR in bicuspid aortic valve and to determine whether patient-specific transcatheter heart valve (THV) sizing and positioning might improve clinical outcomes. METHODS: A retrospective study was performed on TAVR in bicuspid aortic valve patients that had both pre- and postprocedural computed tomography imaging. Preprocedural computed tomography imaging was used to create finite element models of the aortic root. Finite element analysis and computational fluid dynamics was performed. The simulation output was compared with postprocedural computed tomography imaging, cineangiography, echocardiography, and electrocardiograms. For each patient, multiple simulations were performed, to identify an optimal THV size and position for the patient's specific anatomic characteristics. RESULTS: A total of 37 patients were included in the study. The simulations accurately predicted the THV frame deformation (minimum-diameter intraclass correlation coefficient, 0.84; maximum-diameter intraclass correlation coefficient, 0.88; perimeter intraclass correlation coefficient, 0.91; area intraclass correlation coefficient, 0.91), more than mild paravalvular regurgitation (area under the receiver operating characteristic curve, 0.86) and major conduction abnormalities (new left bundle branch block or high-degree atrioventricular block; area under the receiver operating characteristic curve, 0.88). When compared with the implanted THV size and implant depth, optimal patient-specific THV sizing and positioning reduced simulation-predicted paravalvular regurgitation and markers of conduction disturbance. CONCLUSIONS: Patient-specific computer simulation of TAVR in bicuspid aortic valve may predict the development of important clinical outcomes, such as paravalvular regurgitation and conduction abnormalities. Patient-specific THV sizing and positioning may improve clinical outcomes of TAVR in bicuspid aortic valve.
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Dowling et al. (2019) conducted an observational in Bicuspid aortic valve undergoing TAVR (n=37). Patient-specific computer simulation of TAVR vs. Actual implanted THV size and implant depth was evaluated on Prediction of THV frame deformation, more than mild paravalvular regurgitation, and major conduction abnormalities (AUC 0.86 (paravalvular regurgitation); AUC 0.88 (conduction abnormalities)). Patient-specific computer simulation of TAVR in bicuspid aortic valve accurately predicted more than mild paravalvular regurgitation (AUC 0.86) and major conduction abnormalities (AUC 0.88).
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