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The clinical outcomes of patients with left ventricular assist devices (LVAD) have steadily improved, unveiling late right ventricular failure (RVF) and aortic regurgitation (AR) as drivers of long-term mortality. The continuous-flow LVAD physiology and the patient's pre-existing features predispose to these complications, recently labeled hemodynamic-related events (HDREs). We present the case of an LVAD carrier complicated by both late RVF and AR, in which a comprehensive hemodynamic and echo-guided ramp test was carried out. A step-by-step standardized ramp test protocol is described with a focus on the interpretation of longitudinal changes in hemodynamic and echocardiographic parameters at different LVAD speeds. We emphasize the clinical relevance of a dynamic evaluation to stage these complex hemodynamic scenarios and to guide individualized management. The ramp test was instrumental to unmask the relative contribution of several morphofunctional components as limiting factors to optimal hemodynamics at different LVAD speeds and identified RVF as the prevailing limiting factor, suggesting the futility of aortic valve replacement. We highlight the coexistence of AR and RVF as a hard conundrum to face, with an ominous clinical impact. An in-depth characterization of HDRE's natural history will be pivotal to build preventive and mitigation strategies to improve the durability of pump-patient continuum.
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http://dx.doi.org/10.1097/MAT.0000000000002457 | DOI Listing |
Comput Biol Med
September 2025
Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada.
Pattern recognition-based myoelectric control is traditionally trained with static or ramp contractions, but this fails to capture the dynamic nature of real-world movements. This study investigated the benefits of training classifiers with continuous dynamic data, encompassing transitions between various movement classes. We employed both conventional (LDA) and deep learning (LSTM) classifiers, comparing their performance when trained with ramp data, continuous dynamic data, and an LSTM pre-trained with a self-supervised learning technique (VICReg).
View Article and Find Full Text PDFScand J Med Sci Sports
September 2025
Inter-University Laboratory of Human Movement Sciences, LIBM, University Savoie Mont-Blanc, EA 7424, Chambéry, France.
Cognitive performance during cognitive-motor dual-task (CMDT) varies with exercise intensity. According to the inverted-U theory, low-to-moderate intensity enhances cognition, but this remains unexplored in trained individuals who may better sustain cognitive performance at high intensities due to improved prefrontal cortex (PFC) homeostasis. Additionally, how sustained attention influences neuromuscular fatigue during whole-body CMDT is unclear.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Tamilnadu, India.
Analog and Mixed Signal Integrated Circuits (AMS ICs), which have many different components on a single chip, can now be integrated due to technological advancements. However, controllability and observability both decline with increasing circuit complexity, making testing more difficult and expensive. The real time signals are analog in nature and hence ADCs are used to convert them to digital signals for further processing in all the mixed signal circuits.
View Article and Find Full Text PDFSports (Basel)
July 2025
Sport Sciences and Diagnostic Research Centre, Hungarian Handball Federation, 1103 Budapest, Hungary.
Laboratory-based assessment of cardiorespiratory function is a widely applied method in sports science. Most performance evaluations focus on oxygen uptake parameters. Despite the well-established concept of oxygen deficit introduced by Hill in the 1920s, relatively few studies have examined its behavior during submaximal exercise, with limited exploration of deficit dynamics.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, Via Marengo 2, Cagliari, 09123, Italy.
Despite the growing emphasis on social sustainability in urban design, limited research has examined how spatial configurations influence socio-behavioural patterns across culturally distinct urban squares. This study addresses this gap by investigating how the spatial configuration of public squares interacts with pedestrian social behaviours in four cities in Iran, Spain, Italy, and Australia. Guided by theories of space syntax and social behaviour frameworks, a unique mixed-method approach was adopted, combining spatial configuration analysis, behavioural mapping, and people-tracing, coupled with agent-based simulations.
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