Background: The dual-filter Sentinel™ Cerebral Protection System (Sentinel-CPS) is increasingly used during transcatheter aortic valve replacement (TAVR). However, complex vascular anatomy may challenge Sentinel-CPS deployment.Aim of the study: We sought to investigate the impact of anatomic features of the aortic arch and the supra-aortic arteries on technical device failure of Sentinel-CPS application.Methods: Analysis of the multislice computed tomography pre-TAVR aortograms of all patients undergoing TAVR with Sentinel-CPS between 2016 and 2020 (n = 92) was performed. We investigated the impact of aortic arch anatomy, configuration, and the angles of the supra-aortic arteries, including the determination of vascular tortuosity index on device failure of Sentinel-CPS application.Results: The Sentinel-CPS was applied successfully in 83 patients (90.2%). Device failure in nine patients (9.8%) was due to the infeasibility to perform correct deployment of both filters (n = 7) and to obtain peripheral radial access (n = 2). Patients with a failure of Sentinel-CPS application had a higher right subclavian tortuosity index (217 [92-324] vs. 150 [42-252], p = .046), a higher brachiocephalic tortuosity index (27 [5-51] vs. 10 [0-102], p = 0.033) and a larger angulation of the brachiocephalic artery (59° vs. 39°[7-104], p = .014) compared with patients with successful application. A brachiocephalic angle more than 59°was predictive for device failure. No differences in aortic arch anatomy or common carotid artery tortuosity were detected between the groups.Conclusions: Brachiocephalic tortuosity was found to be associated with failure of Sentinel-CPS application. Filter-based usage should be avoided in TAVR patients with a brachiocephalic angle more than 59°.

The aim of this study was to assess a new smartphone-based program version to allow seven participants with intellectual plus visual and/or motor disabilities and hesitant speech to send out and receive WhatsApp messages, make telephone calls, and access leisure activities. This program version relied on a Samsung A3 smartphone, which was automated through the MacroDroid application and responded to the input of specific cards and miniature objects. During the baseline (i.e., without the program), the participants’ performance was zero or close to zero on communication and leisure. During the use of the program, the participants increased their frequency of WhatsApp messages sent out and received/listened to, and of leisure activities accessed. Their frequency of telephone calls averaged between virtually zero and slightly above one. The implications of the findings are discussed in relation to the technology used for the program and the applicability of the program in daily contexts.

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