Journal
STRUCTURAL HEART-THE JOURNAL OF THE HEART TEAM
Volume 7, Issue 5, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.shj.2023.100180
Keywords
Cardiac fluid dynamics; Coronary hemodynamics; Global hemodynamics; Patient-speciflc lumped parameter model; Transcatheter aortic valve replacement; Valve thrombosis local fluid dynamics
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This study developed a computational framework to evaluate the effects of transcatheter aortic valve replacement (TAVR). The findings suggest that TAVR may lead to blood stagnation in the neo-sinus region and may not provide sufficient relief for the left ventricle load and improvement in coronary flow.
Background: Despite the demonstrated beneflts of transcatheter aortic valve replacement (TAVR), subclinical leaflet thrombosis and hypoattenuated leaflet thickening are commonly seen as initial indications of decreased valve durability and augmented risk of transient ischemic attack.Methods: We developed a multiscale patient-speciflc computational framework to quantify metrics of global circulatory function, metrics of global cardiac function, and local cardiac fluid dynamics of the aortic root and coronary arteries.Results: Based on our flndings, TAVR might be associated with a high risk of blood stagnation in the neo-sinus region due to the lack of sufflcient blood flow washout during the diastole phase (e.g., maximum blood stasis volume increased by 13, 8, and 2.7 fold in the left coronary cusp, right coronary cusp, and noncoronary cusp, respectively [N = 26]). Moreover, in some patients, TAVR might not be associated with left ventricle load relief (e.g., left ventricle load reduced only by 1.2 % [N = 26]) and diastolic coronary flow improvement (e.g., maximum coronary flow reduced by 4.94%, 15.05%, and 23.59% in the left anterior descending, left circumflex coronary artery, and right coronary artery, respectively, [N = 26]).Conclusions: The transvalvular pressure gradient amelioration after TAVR might not translate into adequate sinus blood washout, optimal coronary flow, and reduced cardiac stress. Noninvasive personalized computational modeling can facilitate the determination of the most effective revascularization strategy pre-TAVR and monitor leaflet thrombosis and coronary plaque progression post-TAVR.
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