Background: Adults with transposition of the great arteries (TGA) after atrial switch repair have an increased risk for arrhythmia and sudden cardiac death. We analyzed whether a remote monitoring (RM) system as part of an implantable cardiac device contributes to timely recognition and improved treatment of critical arrhythmias in these patients.
Methods And Results: All consecutive TGA patients (n=11) requiring a pacemaker or cardiac resynchronization therapy with or without implantable cardioverter defibrillator between 2008 and 2011 were included. RM-detected arrhythmia, abnormality of device integrity and reaction time from event transmission until acknowledgement via email and clinical decision making were analyzed and compared to a control group (n=21). In 10 patients (91%) 17 arrhythmias were detected, 8 patients (80%) indicated no symptoms. In the RM group time interval from transmission to acknowledgement was 2.4 days (range, 0-4.5 days). Clinical decision-making was advanced by a mean of 77.5 days (range, 10-197 days) compared with conventional follow-up and identified adaption of anti-arrhythmic medication in 8, electrical cardioversion in 2, overdrive pacing in 1 and radiofrequency ablation in 2 patients. A coronary sinus lead fracture was identified in 1 patient followed by successful replacement.
Conclusions: RM enables early detection of tachyarrhythmia followed by optimization of medical treatment and potentially life-saving anti-tachycardic intervention in adults after atrial repair of TGA.
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http://dx.doi.org/10.1253/circj.cj-13-0670 | DOI Listing |
Sci Total Environ
January 2025
Interdisciplinary Lab for Mathematical Ecology and Epidemiology & Department of Mathematical and Statistical Sciences, University of Alberta, Canada. Electronic address:
Prompt and accurate monitoring of cyanobacterial blooms is essential for public health management and understanding aquatic ecosystem dynamics. Remote sensing, in particular satellite observations, presents a good alternative for continuous monitoring. This study employs multispectral images from the Sentinel-2 constellation alongside ERA5-Land to enable broad-scale data acquisition.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Biological and Agricultural Engineering, University of Arkansas, United States of America. Electronic address:
The increasing global demand for meat and dairy products, fueled by rapid industrialization, has led to the expansion of Animal Feeding Operations (AFOs) in the United States (US). These operations, often found in clusters, generate large amounts of manure, posing a considerable risk to water quality due to the concentrated waste streams they produce. Accurately mapping AFOs is essential for effective environmental and disease management, yet many facilities remain undocumented due to variations in federal and state regulations.
View Article and Find Full Text PDFJ Intensive Care Soc
January 2025
Department of Physiotherapy, Faculty of Medicine, Dentistry and Health Sciences, School of Health Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Digital health refers to the field of using and developing technology to improve health outcomes. Digital health and digital health interventions (DHIs) within the area of intensive care and critical illness survivorship are rapidly evolving. Digital health interventions refer to technologies in clinical interventional format.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFJ Neurol Phys Ther
January 2025
Center of Expertise for Parkinson & Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Gelderland, the Netherlands (S.S., N.M.V., S.K.L.D., B.R.B.); Harvard Medical School, Boston, Massachusetts (A.A., M.A.S., E.A.M.); Departments of Epidemiology and Nutrition, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts (A.A.); Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (M.A.S., E.A.M.); Mass General Institute for Neurodegenerative Disease, Massachusetts General Hospital, Boston, Massachusetts (M.A.S.); and Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts (E.A.M.).
Background And Purpose: Physical activity has beneficial symptomatic effects for people with Parkinson's disease (PD), but increasing-and sustaining-a physically active lifestyle remains challenging. We investigated the feasibility (ability to increase step counts) and usability of a behavioral intervention using a motivational smartphone application to remotely increase physical activity in PD.
Methods: We performed a 4-week, double-blind pilot trial.
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