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Background: Cerebrovascular events (CVE) are feared complications following transcatheter aortic valve replacement (TAVR). We aimed to develop a new risk model for CVE prediction with the application of multimodal imaging. Methods: From May 2011 to August 2019, a total of 2015 patients underwent TAVR at our institution.

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: Stroke associated with transcatheter aortic valve replacement (TAVR) is a potentially devastating complication. Until recently, the Sentinel™ Cerebral Protection System (CPS; Boston Scientific, Marlborough, MA, USA) has been the only commercially available device for mechanical prevention of TAVR-related stroke. However, its effectiveness is still undetermined.

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Cerebrovascular events (CVE) are among the most feared complications of transcatheter aortic valve replacement (TAVR). CVE appear difficult to predict due to their multifactorial origin incompletely explained by clinical predictors. We aimed to build a deep learning-based predictive tool for TAVR-related CVE.

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Background: Limited data exists exploring the relationship between varying degrees of chronic kidney disease (CKD) and atrial fibrillation (AF) in patients undergoing transcatheter aortic valve replacement (TAVR).

Methods: Records were selected from the 2011 to 2012 Healthcare Cost and Utilization Project's National Inpatient Sample for TAVR patients with pre-existing AF and CKD. Demographics, clinical characteristics, and TAVR-related in-hospital adverse events were identified and compared between patients with and without AF and moderate CKD (CKD stage 3-4), and between patients with and without AF and severe CKD (CKD stage 5 or end stage renal disease [ESRD]).

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