Objectives: To describe the rate, timing, and pattern of changes in advance directives (ADs) of do not resuscitate (DNR) and do not hospitalize (DNH) orders among new admissions to nursing homes (NHs).
Design: A retrospective cohort study.
Setting And Participants: Admissions to all publicly funded NHs in Ontario, Canada, between January 1, 2013, and December 31, 2017.
Methods: Residents were followed until discharged from incident NH stay, death, or were still present at the end of study (December 31, 2019). They were categorized into 3 mutually exclusive baseline composite AD groups: Full Code, DNR Only, and DNR+DNH. We used Poisson regression models to estimate the incidence rate ratios of AD change between different AD groups and different decision makers for personal care, adjusted for baseline clinical and sociodemographic variables.
Results: A total of 102,541 NH residents were eligible for inclusion. Residents with at least 1 AD change accounted for 46% of Full Code, 30% of DNR Only, and 25% of DNR+DNH group. Median time to first AD change ranged between 26 and 55 weeks. For Full Code and DNR Only residents, the most frequent change was to an AD 1 level lower in aggressiveness or intervention, whereas for DNR+DNH residents the most frequent change was to DNR Only. About 16% of residents had 2 or more AD changes during their stay. After controlling for covariates, residents with a DNR-only order or DNR+DNH orders at admission and those with a surrogate decision maker were associated with lower AD change rates.
Conclusions And Implications: Measuring AD adherence rates that are documented only at a particular time often underestimates the dynamics of AD changes during a resident's stay and results in an inaccurate measure of the effectiveness of AD on resident care. There should be more frequent reviews of ADs as they are quite dynamic. Mandatory review after an acute change in a resident's health would ensure that ADs are current.
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http://dx.doi.org/10.1016/j.jamda.2024.105090 | DOI Listing |
J Psoriasis Psoriatic Arthritis
January 2025
Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Background: Generalized pustular psoriasis (GPP) is a rare, chronic, often unpredictable, severe multisystemic autoinflammatory skin disease from which patients can experience flares, episodes of widespread eruptions of painful, sterile pustules often accompanied by systemic symptoms. The impact of GPP flares and underlying GPP severity on the healthcare resource utilization (HCRU) is not well characterized.
Objective: To quantify HCRU among US GPP patients by flare status and underlying severity.
J Neurosci Methods
January 2025
Section for Cognitive Systems, DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Background: The neural mechanisms underlying real-time social interaction remain poorly understood. While hyperscanning has emerged as a popular method to better understand inter-brain mechanisms, inter-brain methods remain underdeveloped, and primarily focused on inter-brain synchronization (IBS).
New Method: We developed a novel approach employing two-brain EEG microstates, to investigate neural mechanisms during symmetric and asymmetric interactive tasks.
Bioengineering (Basel)
January 2025
Department of Computer Science and Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN 37208, USA.
RNA sequencing (RNA-seq) has emerged as a prominent resource for transcriptomic analysis due to its ability to measure gene expression in a highly sensitive and accurate manner. With the increasing availability of RNA-seq data analysis from clinical studies and patient samples, the development of effective visualization tools for RNA-seq analysis has become increasingly important to help clinicians and biomedical researchers better understand the complex patterns of gene expression associated with health and disease. This review aims to outline the current state-of-the-art data visualization techniques and tools commonly used to frame clinical inferences from RNA-seq data and point out their benefits, applications, and limitations.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
While radiation hazards induced by cone-beam computed tomography (CBCT) in image-guided radiotherapy (IGRT) can be reduced by sparse-view sampling, the image quality is inevitably degraded. We propose a deep learning-based multi-view projection synthesis (DLMPS) approach to improve the quality of sparse-view low-dose CBCT images. In the proposed DLMPS approach, linear interpolation was first applied to sparse-view projections and the projections were rearranged into sinograms; these sinograms were processed with a sinogram restoration model and then rearranged back into projections.
View Article and Find Full Text PDFDokl Biochem Biophys
January 2025
Center for Strategic Planning and Management of Biomedical Health Risks, Federal Medical and Biological Agency, Moscow, Russia.
Unlabelled: The association of the pathogenesis of neurodegenerative diseases, depression, anxiety, and cognitive disorders with neurotrophin-3 deficiency determines the prospect of creating drugs with a similar mechanism of action. Since the use of full-length NT-3 is limited by unsatisfactory pharmacokinetic properties, the creation of low-molecular mimetics of neurotrophin-3 that are active when administered systemically is relevant. The Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies has created a dimeric dipeptide mimetic of the 4th loop of NT-3, hexamethylenediamide bis-(N-γ-oxybutyryl-L-glutamyl-L-asparagine) with the laboratory code GTS-302, which activates TrkC and TrkB receptors.
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