Background: People with dementia frequently develop behavioural and psychological symptoms, sometimes necessitating care in specialist dementia mental health wards. There has been little research on their life expectancy following admission or need for palliative care. The work presented here explores the mortality of these patients and whether this can be predicted at their time of admission to the ward.
Method: We conducted a retrospective analysis of 576 patients admitted to the Cambridgeshire and Peterborough NHS Foundation Trust dementia mental health wards in the United Kingdom, and built a Kaplan-Meier survival curve as well as machine learning models. Next, to examine changes in deaths occurring over time, a retrospective service evaluation was conducted involving four mental health wards for people with dementia in the United Kingdom, encompassing a further 1,976 patients.
Result: The median survival length post-admission was 1201 days. Clinical data collected on admission did not predict mortality in machine learning models at a level of accuracy likely to have clinical utility. Data from four different wards show that the number of patients dying in dementia mental health wards has increased over time.
Conclusion: Our cohort had a high mortality, although with a wide range of survival times. We suggest all people admitted to these units should have discussions and access to high-quality end-of-life care.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/alz.090699 | DOI Listing |
J Neural Transm (Vienna)
January 2025
Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
Bipolar disorder (BD) frequently coexists with anxiety disorders, creating complex challenges in clinical therapy and management. This study investigates the prevalence, prognostic implications, and treatment strategies for comorbid BD and anxiety disorders. High comorbidity rates, particularly with generalized anxiety disorder, underscore the necessity of thorough clinical assessments to guide effective management.
View Article and Find Full Text PDFJ Immigr Minor Health
January 2025
Watson Institute for International and Public Affairs and the School of Public Health, Brown University, Providence, USA.
Eur J Hum Genet
January 2025
Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Mitochondrial membrane protein-associated neurodegeneration (MPAN) is a rare neurodegenerative disorder characterized by spastic paraplegia, parkinsonism and psychiatric and/or behavioral symptoms caused by variants in gene encoding chromosome-19 open reading frame-12 (C19orf12). We present here seven patients from six unrelated families with detailed clinical, radiological, and genetic investigations. Childhood-onset patients predominantly had a spastic ataxic phenotype with optic atrophy, while adult-onset patients were presented with cognitive, behavioral, and parkinsonian symptoms.
View Article and Find Full Text PDFJ Occup Rehabil
January 2025
Faculty of Health Sciences, Curtin School of Allied Health, Curtin University, Perth, WA, Australia.
Purpose: Workers' compensation claims can negatively affect the wellbeing of injured workers. For some, these negative effects continue beyond finalisation of the workers' compensation claim. It is unclear what factors influence wellbeing following finalisation of a workers' compensation claim.
View Article and Find Full Text PDFCommun Psychol
January 2025
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
How do people model the world's dynamics to guide mental simulation and evaluate choices? One prominent approach, the Successor Representation (SR), takes advantage of temporal abstraction of future states: by aggregating trajectory predictions over multiple timesteps, the brain can avoid the costs of iterative, multi-step mental simulation. Human behavior broadly shows signatures of such temporal abstraction, but finer-grained characterization of individuals' strategies and their dynamic adjustment remains an open question. We developed a task to measure SR usage during dynamic, trial-by-trial learning.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!