View clinical trials related to Dementia.
Filter by:Evidence shows that people with dementia have a higher prevalence of sleep disturbance, cognitive decline, behavioral disturbance, and experience motor dysfunction. These symptoms are interrelated. However, few randomized controlled trial (RCT) studies implement dual-task training for mild cognitive impairment and mild dementia, especially for those who experience sleep problems and behavioral disturbances. Therefore, this study aims to analyze the effect of dual-task training in improving global cognitive function, executive function, working memory, sleep, behavioral disturbances, balance, and flexibility among people with mild cognitive impairment and mild dementia. The main questions it aims to answer are: 1. . Does dual-task training affect primary outcomes (global cognitive function, executive function, and working memory) 2. . Does dual-task training affect secondary outcomes (including sleep quality, behavioral disturbances, balance, and flexibility) for people with mild cognitive impairment and mild dementia?" The length of dual-task training is 12 weeks; sessions are 3 times per week, each session lasts 45 minutes, and total sessions are 36. There are three groups of intervention (dual-task training, cognitive training, and motor training). While the control group receives the usual care. Researchers will compare the experiment and control groups to see the effect of the dual-task training.
The objectives of this study are to demonstrate the feasibility of implementing a deprescribing nudge intervention using pragmatic methods, confirm that outcomes can be feasibly measured and evaluated at scale in a subsequent embedded pragmatic clinical trial (ePCT), and explore representativeness of persons living with dementia and care partners identified.
Significance of Research Question/Purpose: Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the AD-dementia continuum and currently has a prevalence of 11.2% in adults over the age of 45, with incidence increasing with greater age. Furthermore, population-based studies suggest that between 50% and 80% of older individuals (aged 70 years and older) who perform normally on cognitive tests, report some form of perceived decline in cognitive functioning when asked. The SCD state is unique as this population is more likely than their healthy peers to present with AD biomarkers such as neurodegeneration and amyloid burden, and therefore represents probable preclinical AD relative to other causes of SCD. Likewise, growing evidence suggests that a significant proportion of those adults are subsequently found to develop MCI, or AD, following the classic SCD-MCI-AD trajectory, with SCD increasing MCI risk 1.5-3 fold. Preventing Alzheimer's disease (AD) is arguably the most important approach to address the dementia epidemic worldwide because 99.6% of drug trials failed and no drugs can yet prevent, cure, or even slow AD. A treatment that delays the onset of AD by five years could save $89 billion in 2030.This highlights an urgent and pressing need to develop behavioral interventions to prevent AD and slow its progression. The first purpose is to develop a fully-featured version of the Virtual Reality Cognitive Training (VRCT) aspect of the Exergame that can be installed and updated remotely. We will build on the Phase II Exergame by creating the capability that allows it to be installed and updated remotely to facilitate home-based use, especially by older adults. This also helps address a strong preference from our Phase II participants to minimize interaction with outsiders due to the ongoing COVID-19 pandemic, indicating a home- based solution will greatly facilitate commercialization. The second purpose is to determine the efficacy of the Home-based (Hb)Exergame on cognition and aerobic fitness in older adults at risk for AD using a 2:2 factorial design clinical trial. We will measure the following outcomes quantitatively: a) cognition: fluid cognition (global cognition) as the primary outcome, processing speed and other cognitive domains as secondary outcomes; b) aerobic fitness, c) neuroprotective blood biomarkers.
The goal of this clinical trial is to test two advices on alcohol drinking in more than 10.000 Spanish adult drinkers (men of 50 or more years and women of 55 or more years). The main question it aims to answer is to test the non-inferiority advice of a moderate alcohol drinking pattern on all-cause mortality and other chronic disease like cardiovascular disease, cancer or type 2 diabetes. Participants will receive during 4 years an advice to drink alcohol following a Mediterranean Alcohol Drinking Pattern (MADP): consuming alcohol in moderation, avoidance of binge drinking and preference for red wine. Researchers will compare those who will receive a MADP advice with those who will receive an advice on abstention to see if the advice on MADP is not inferior than the abstention advice to prevent all-cause mortality and other chronic diseases.
The purpose of this study is to find out the difference in genetic test results between Alzheimer's dementia patients and healthy subjects. The investigators want to identify genes that are importantly related to Alzheimer's dementia.
Delirium is highly prevalent and very bad for patients with dementia. Delirium is a dangerous medical condition that occurs in 6-38% of older Emergency Department patients and 70% of ICU patients. A person who develops delirium in the ED or hospital has a 12 times higher odds of being newly diagnosed with dementia in the next year compared to a similar patient who does not become delirious. Delirium is especially dangerous for persons living with Alzheimer Disease and Related Dementias (AD/ADRD). Persons living with ADRD have an almost 50% chance of developing delirium in the hospital. Clinicians are bad at recognizing delirium. A recent systematic review led by the Geriatric Emergency Care Applied Research network (NIH funded) found that current delirium screening tools are at most 64% sensitive, meaning that physicians can identify some phenotypes of delirium well, but cannot easily rule out delirium in acutely ill older patients. The investigators propose integrating wrist biosensors into the emergency management of older adults with dementia. The investigators will monitor heart rate variability, movement, and electrodermal activity (electrical activity of at the level of the skin) to determine if an array of biosensors more sensitive to delirium than current verbal screening tools.
The aim of the present study is to investigate potential cognitive mechanisms contributing to working memory impairment in Alzheimer's disease and vascular dementia. The investigators consider a new hypothesis suggesting that difficulties in mobilizing maintenance strategies of information could explain this working memory deficit. More specifically, the investigators assume that patient groups will have difficulties in employing both refreshing and elaborative strategies during a working memory task (i.e., complex span task), as compared to a control group.
There are currently 6.7 million Americans living with dementia and, without significant breakthroughs, this figure will double to 12.7 million by 2050. There are about 46,000 long-term care (LTC) facilities in the U.S. More than half of LTC residents have some form of dementia (Alzheimer's Association, 2018). Responsive behaviors and dysfunction of the dementia care triad-i.e., the PLWD, professional Care Partner (CP), and Family Member (FM)-are inexorably linked. The emergence of responsive behaviors can lead to disruption of the triad's function. Thus, it is imperative to maintain positive relationships and a high quality of life (QoL) within the triad to reduce BPSD. Cognitive Stimulation Therapy (CST) has demonstrated improvements in QoL and relationships for PLWD. CST is a psychosocial intervention that promotes communication and engagement in PLWD via a structured program of meaningful and enjoyable theme. While clinical trials have shown improvement in cognition and QoL, the potential large-scale impact of CST has been hampered by low adherence, with less than 40% completing trials. One likely reason for the low adherence to CST is the reliance on generic and non-digital tools (e.g., paper-based agendas, tools, DVDs, and board games) in facilitating the intervention. That is, even though CST aims to be personalized, the specific interventions used in the field tend to be generic and not tailored to each PLWD's specific interests. The use of digital technology to implement CST would offer considerable advantages to expand and personalize the range of stimulation content and provide a means for monitoring responses, optimizing protocols, and promoting adherence. The proposed Phase II study will involve the continued development and evaluation of a multi-faceted software platform called "Building Relationships using Artificial Intelligence and Nostalgia" or BRAIN. The BRAIN Platform will be the first-ever Artificial Intelligence (AI) powered CST digital therapy platform for PLWD. The platform, which has been shown to be effective in an initial Phase I clinical trial, has three main goals: to improve the quality of life of PLWD, to reduce BPSD in PLWD, and to foster positive relationships between members of the care triad. The proposed Phase II project has the following Specific Aims: 1. Create an improved Beta version of the BRAIN Platform's eight components: (1) the Admin Management Dashboard, (2) the Annotation Dashboard, (3) the Log Viewer, (4) the Content Management System (CMS), (5) the Private CMS, (6) the Control App, (7) the Home App, and (8) the Training Dashboard. 2. Fine-tune the different classes of AI algorithms-i.e., behavioral analytics, personalized content recommendation, and personalized program generation-in the BRAIN app such that they can (a) recognize and track 12 distinct behaviors and indicators of PLWD, (b) use these behavioral traits as a basis for automatically rating the relative success of each activity, and (c) automatically recommend personalized activities that are likely to be successful for individual PLWD. 3. Conduct a Cluster Randomized Trial (CRT) of the BRAIN App to examine the app's impact on engagement/affect, quality of life, and responsive behaviors. 4. Examine satisfaction and ease of use of the app for PLWD, LTC staff, and FMs.
The purpose of the study is to adapt the SCIDS into the Turkish version and validate it in the social and cultural context of Turkey to assess staff competency in dementia care in the long-term care setting.
This pilot study will test a digital care planning decision support system for patients with dementia.