ABACUS Repository
Institutional repository of the Universidad Europea where the scientific production of its research community is collected. The purpose of the repository is to provide access and visibility to this work by gathering, preserving and disseminating this production.
Recent Submissions
Real-World Comparison of Balloon-Expandable Valves for Transcatheter Aortic Valve Replacement: Data From the AorticþMitral TRAansCatheter Valve Registry
(2026) Talmor Barkan, Yeela; Patel, Kush P.; Barbanti, Marco; Sammartino, Sofia; Costa, Giuliano; Grasso, Carmelo; De Backer, Ole; Lulic, Davorka; Olmos Blanco, Carmen; Witberg, Guy; Et al.
Background: Comparative real-world data on newer balloon-expandable valve (BEV) platforms remain limited. We sought to compare clinical, procedural, and early hemodynamic outcomes following transcatheter aortic valve replacement (TAVR) using 2 contemporary BEVs in a multicenter international registry. Methods: Consecutive patients undergoing TAVR with Sapien 3/Ultra and MyVal from the Aortic+Mitral TRAansCatheter Valve Registry were included. Propensity score matching was used to generate a balanced 1:3 cohort. The primary endpoint was 2-year all-cause mortality. Secondary endpoints included in-hospital complications, defined according to Valve Academic Research Consortium–3 criteria.
Real-World Deployment and Operational Evaluation of an On-Premise Thermal IoMT System in an Intensive Care Unit
(Springer Nature, 2026) Avilés Álvarez, Eva; Lafuente Carrasco, José Luis; González, Samuel; Beunza, Juan José
Thermal imaging provides a non-contact approach for continuous environmental monitoring in intensive care units, although most existing studies remain limited to controlled or experimental settings with limited real-world validation. This study aimed to design, deploy, and operationally evaluate a scalable, low-cost, on-premise thermal Internet of Medical Things system in a real intensive care unit. A distributed network of seven thermal acquisition nodes, scalable to thirteen beds, was implemented using embedded devices and radiometric infrared cameras. Thermal images were transmitted through the hospital Wi-Fi network to a local server for storage, indexing, and near real-time visualization. System performance was evaluated using operational metrics including end-to-end latency, throughput, availability, and connectivity incidents. During a 10-day structured evaluation, the system generated 5,763,312 thermal images (approximately 1.47 TB), achieving an aggregate acquisition rate of 6.67 images per second. After architectural optimization, mean latency decreased from 26,344 ms to 126 ms (99.52% reduction), with a median of 117 ms and a 95th percentile of 207 ms. Effective system availability reached 95.29%, with most incidents associated with transient wireless connectivity interruptions. These results demonstrate the feasibility of deploying a distributed thermal IoMT system in a real intensive care unit under hospital information technology governance, offering a preliminary reference model for on-premise, nonintrusive thermal sensing infrastructures in critical care, pending validation across additional institutional and hardware settings.
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