The number of patients with implantable cardioverter defibrillators (ICDs) is increasing. In addition to improve survival, ICD can collect data related to device function and physiological parameters. Remote monitoring (RM) of these data allows early detection of technical or clinical problems and a prompt intervention (reprogramming device or therapy adjustment) before the patient require hospitalization. RM is not a substitute for emergency service and its consultation is now limited during working hours. Thus, a consent form is required to inform patients about benefits and limitations. The available studies indicate that remote monitoring is more effective than traditional calendar face to face based encounters. RM is safe, highly reliable, cost efficient, allows quick reply to failures, and reduces the number of scheduled visits and the incidence of inappropriate shocks with a positive impact on survival. It follows that RM has the credentials to be the standard of care for ICD management; however, unfortunately, there is a delay in physician acceptance and implementation. The recent observations from randomized IN-TIME study that showed a clear survival benefit with RM in heart failure patients have encouraged us to review both the negative and positive aspects of RM collected in a little more than a decade.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ijcard.2015.09.033 | DOI Listing |
ACS Sens
January 2025
Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion, School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin 300384, PR China.
The simultaneous detection of electroencephalography (EEG) signals and neurotransmitter levels plays an important role as biomarkers for the assessment and monitoring of emotions and cognition. This paper describes the development of boron and nitrogen codoped graphene-diamond (BNGrD) microelectrodes with a diameter of only 200 μm for sensing EEG signals and dopamine (DA) levels, which have been developed for the first time. The optimized BNGrD microelectrode responded sensitively to both EEG and DA signals, with a signal-to-noise ratio of 9 dB for spontaneous EEG signals and a limit of detection as low as 124 nM for DA.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Shanghai Municipal Institute of Surveying and Mapping, Shanghai, 200063, China.
Inland waters face multiple threats from human activities and natural factors, leading to frequent water quality issues, particularly the significant challenge of eutrophication. Hyperspectral remote sensing provides rich spectral information, enabling timely and accurate assessment of water quality status and trends. To address the challenge of inaccurate water quality mapping, we propose a novel deep learning framework for multi-parameter estimation from hyperspectral imagery.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFObjective: Aim: The goal of this work is to investigate the effectiveness of state regulatory tools influencing the HCS reform process and the institutional support for the implementation of SGPMS at the primary level.
Patients And Methods: Materials and Methods: To evaluate the effectiveness of SGPMS implementation at the primary level, methods of observation, analysis and synthesis, grouping, and generalization were applied.
Results: Results: In the implementation of SGPMS, PMC is prioritized.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!