Dementia and Geriatric Cognitive Disorders Extra最新文献

Introduction: Behavioural and psychological symptoms of dementia (BPSDs) are a group of highly prevalent symptoms in residents with a neurocognitive disorder, including agitation and depressive symptoms. Caregiving staff often mention knowledge and skills deficits regarding optimal BPSD management. While several staff training on BPSDs management exist internationally, their transferability to other clinical contexts is limited, owing to methodological challenges. Therefore, to address this implementation gap, there is a strong need for training based on high-quality research to strengthen existing evidence, and ensure feasibility and reproducibility.

Methods: This qualitative study, part of a larger research project, occurred in 2022 on long-term care (LTC) centre unit and an alternate level of care (ALC) hospital unit located in the Province of Quebec, Canada. This study aimed to (1) evaluate the needs and perceptions of staff caregivers regarding BPSD management, (2) identify the training content and modalities to prioritize according to experts, (3) develop intradisciplinary training on BPSD management, and (4) pretest the preliminary version of the training. Objectives one and two were evaluated using focus groups and objective four using individual cognitive interviews. Qualitative interview data was audio-recorded with participants' consent, transcribed verbatim, and thematically content analysed using an established method.

Results: Overall, thirteen caregivers participated in objective one (8 from the LTC unit, and 6 from the ALC unit). The main staff training need identified on each site was the management of resident's aggressive behaviours. Staff verbalized a preference for virtual training. Objective 2 involved a panel of eight experts. Experts recommended the use of an online training platform, and certain training models and indicators. Based on caregivers' and experts' input, five interactive online staff training capsules lasting from 20 to 25 min each and an algorithm guiding the evaluation and management of BPSDs were created. The training capsules and the algorithm were iteratively improved following cognitive interviews with 4 caregivers from the participating sites.

Conclusion: An interactive virtual staff training on BPSD management was created based on staff and expert consultation. The next step in the investigation will be to evaluate the feasibility and acceptability of the training.

Introduction: The objective of this study was to clarify the frequency of fear of dementia and the factors associated with it.

Methods: Data were taken from a nationally representative sample (n = 4,000; average age was 54.9 years, SD: 8.5 years, age ranges from 40 to 70 years, 49.6% of the respondents were women). Similar to prior research, fear of dementia was quantified using a tool ranging from 1 (no fear of dementia) to 4 (severe fear of dementia).

Results: In sum, 19.0% reported no fear of dementia, 34.6% reported a little fear of dementia, 33.8% reported some fear of dementia, and 12.7% reported severe fear of dementia. Regressions showed that greater fear of dementia was significantly associated with being female, being younger, poorer self-rated health, the presence of at least one chronic disease, not living in the same household with a partner or not being in a relationship at all, having depressive symptoms and anxiety symptoms.

Conclusion: Study findings showed that fear of dementia is particularly associated with health-related factors, age and gender. Lifestyle factors and other socioeconomic factors were only occasionally significant. Future research should explore the reasons for such a higher frequency of people's fear of dementia. It would also be interesting to find out new factors associated with the fear of dementia. Furthermore, further research could focus on cross-country comparisons and could stratify the results by important groups, e.g., by sex or education, but also cultural and ethnic aspects.

Introduction: Although the prevalence of Alzheimer's disease (AD) is higher in older people compared to younger people, dementia has also been documented in younger adults. Although early-onset dementia and late-onset dementia had been considered a single disease in pathological investigations, many studies revealed differences in cognitive and neuroimaging changes between them. We evaluated differences in cognitive and neuroimaging changes among the following groups: individuals with early-onset AD (EOAD), late-onset AD (LOAD), early-onset mild cognitive impairment (EOMCI), or late-onset MCI (LOMCI), and healthy controls (HCs).

Methods: Patients underwent both a 1.5 Tesla magnetic resonance imaging scan and the Mini-Mental State Examination (MMSE). Differences in regional gray matter volumes and MMSE subscales were investigated among the five diagnostic groups.

Results: Compared to the EOAD group, the LOAD group had significantly higher scores on orientation in place. Compared to the LOMCI patients, the EOMCI patients achieved significantly higher recall scores. The LOAD and LOMC groups showed significant volume reductions in bilateral medial temporal regions compared to the HCs. The EOAD and EOMCI groups did not show significant atrophy of the medial temporal region compared to the HC group.

Conclusions: The hippocampal volume and memory were preserved in the patients with EOMCI or EOAD compared to those with LOMCI or LOAD. These findings may indicate that the distinct and differing patterns of neuropsychological changes between EOAD and LOAD are also common in MCI, which is intermediate between normal cognition and AD.

Introduction: The identification of geriatric syndromes in people with dementia is important. The aim of the study was to assess the prevalence of geriatric syndromes among dementia outpatients.

Methods: A cross-sectional study was conducted enrolling outpatients with dementia aged ≥60 years old. Dementia was diagnosed by neuropsychiatrists following DSM-5 criteria. The geriatric syndromes assessed included nutritional status (Mini Nutritional Assessment Scale-Short Form), polypharmacy, comorbidities, alcohol use, depression (quality of life in Alzheimer disease), functional status (Barthel Index, Instrumental Activities of Daily Living); lower body strength (30 s stand chair test), and frailty (Timed Up and Go test ≥14 s).

Results: A total of 87 participants was recruited in the study (mean age: 76.8 ± 1.2 years; female: 65.5%). The median number of geriatric syndromes per participant was 5 (IQR = 2); all participants had two or more geriatric syndromes. The most common geriatric syndromes were loss of independence (96.6% impairment in >1 IADL task score and 74.7% dependency in physical function at based on Barthel Index), reduced lower body strength (86.2%), malnutrition and risk of malnutrition (78.2%), and frailty (67.8%). Current and history of smoking, drinking alcohol, using memantine therapy, malnourishment and risk of malnourishment were significantly associated with increasing severity of dementia.

Conclusion: The presence and coincidence of geriatric syndromes is common among outpatients with dementia. These findings have important clinical implications in terms of the assessment and service delivery for older adults in Vietnam. We are exploring ways to enhance our services to provide comprehensive, multidisciplinary approaches to screening, recognition, and treatment of geriatric syndromes in older adults with dementia.

Introduction: The cognitive function score (CFS) is a public scale for assessing the activities of daily living (ADL) in older adults with dementia in Japan. In contrast, the scores of the revised Hasegawa's dementia scale (HDS-R), an easy-to-use dementia screening tool developed in Japan, are significantly correlated with mini-mental state examination scores and are widely utilized in various countries. This novel study aimed to elucidate the previously unexplored criterion-related validity of the CFS and HDS-R and the Bedriddenness Rank (BR), Barthel index (BI), and Katz index (KI).

Methods: This was a multicenter retrospective study and a secondary analysis of our previous study. The study included patients aged ≥20 years hospitalized in chronic care settings between April 1, 2018, and March 31, 2021. We collected data from medical charts on admission, including age, sex, the BR, CFS, BI, KI, and HDS-R scores. Correlations between the CFS and HDS-R score, as well as between the BR and BI or KI, were analyzed using Spearman's rank correlation coefficients.

Results: A total of 749 participants were included in the analysis of criterion-related validity between the CFS and HDS-R. In the CFS cohort analysis, 202 patients (27.0%) were categorized as having a normal CFS, and the median HDS-R score was 18 (range: 6-26). The correlation coefficient between the CFS and HDS-R scores was -0.834 (p < 0.001). The correlation coefficient between BR and BI was -0.741 (p < 0.001), BR and KI was -0.740 (p < 0.001).

Conclusion: The CFS revealed significant criterion-related validity compared with the established cognitive assessment scale, the HDS-R. The BR also demonstrated significant criterion-related validity with the BI and KI.

Introduction: The rise in the elderly population has brought attention to mild cognitive impairment (MCI). Sleep disorders also affect many older adults, indicating an important area of research for disturbed sleep and faster brain aging. This population-based study aimed to investigate the association of several sleep indicators with cognitive performance.

Methods: This cross-sectional study focused on adults over 50 in the Ardakan Cohort Study on Aging (ACSA). MCI was evaluated using the Mini-Mental State Examination (MMSE) and the Abbreviated Mental Test score (AMTS) in literate and illiterate individuals. Sleep characteristics were collected using the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and Berlin questionnaire. The logistic regression models were used to analyze the data.

Results: Overall, 3,380 literate and 1,558 illiterate individuals were included. In both groups, participants with MCI had a significantly higher PSQI global score (p < 0.05). Also, among the literate individuals, a significantly higher risk of having sleep-disordered breathing and poor sleep quality was observed in participants with MCI (p < 0.05). In illiterate individuals, higher sleep latency than 15 min increased odds of MCI (p < 0.05). However, after adjusting for all variables, only literate individuals with a sleep duration of more than 8 h had 66 percent increased odds of having MCI (p = 0.033).

Conclusion: Sleep duration might be associated with cognitive function in the older Iranian population. Our findings underscore the importance of considering sleep patterns in relation to cognitive health.

Introduction: Growing research has shown the negative impact of social isolation on the health and psychological well-being of individuals with dementia and their carers. This study investigated the effectiveness of a psychosocial intervention for dementia carers during a lockdown period of the COVID-19 pandemic.

Methods: Twenty-three family carers of individuals diagnosed with dementia living in the community were recruited and provided with an online psychoeducation toolkit that aims to improve health literacy, management of social and behavioural symptoms in dementia, carer social engagement, and coping skills. Carers were divided into "mild" or "moderate" groups based on the disease severity of the person with dementia they cared for. Outcome measures including distress and severity of neuropsychiatric symptoms, carer self-efficacy and burden, social network, and feelings of loneliness were assessed at baseline and 2 weeks later.

Results: Carers in the moderate group reported higher levels of distress (p = 0.001) and severity (p < 0.001) of neuropsychiatric symptoms and greater carer burden (p = 0.003) than carers in the mild group. Following the intervention, both groups reported increased social networks (p = 0.001). In addition, carers in the moderate group reported significantly reduced distress for neuropsychiatric symptoms (p = 0.013), enhanced carer self-efficacy for controlling upsetting thoughts (p = 0.040), and decreased loneliness (p = 0.023).

Conclusions: This study demonstrated that psychosocial interventions improve outcomes for carers of individuals with dementia, particularly those caring for individuals with greater disease severity. Findings from this study will inform the development of support services that meet the evolving needs of individuals with dementia and their carers in social isolation, during and in a post-pandemic context.

Background: Dementia is a neurodegenerative disease resulting in the loss of cognitive and psychological functions. Artificial intelligence (AI) may help in detection and screening of dementia; however, little is known in this area.

Objectives: The objective of this study was to identify and evaluate AI interventions for detection of dementia using motion data.

Method: The review followed the framework proposed by O'Malley's and Joanna Briggs Institute methodological guidance for scoping reviews. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist for reporting the results. An information specialist performed a comprehensive search from the date of inception until November 2020, in five bibliographic databases: MEDLINE, EMBASE, Web of Science Core Collection, CINAHL, and IEEE Xplore. We included studies aimed at the deployment and testing or implementation of AI interventions using motion data for the detection of dementia among a diverse population, encompassing varying age, sex, gender, economic backgrounds, and ethnicity, extending to their health care providers across multiple health care settings. Studies were excluded if they focused on Parkinson's or Huntington's disease. Two independent reviewers screened the abstracts, titles, and then read the full-texts. Disagreements were resolved by consensus, and if this was not possible, the opinion of a third reviewer was sought. The reference lists of included studies were also screened.

Results: After removing duplicates, 2,632 articles were obtained. After title and abstract screening and full-text screening, 839 articles were considered for categorization. The authors categorized the papers into six categories, and data extraction and synthesis was performed on 20 included papers from the motion tracking data category. The included studies assessed cognitive performance (n = 5, 25%); screened dementia and cognitive decline (n = 8, 40%); investigated visual behaviours (n = 4, 20%); and analyzed motor behaviors (n = 3, 15%).

Conclusions: We presented evidence of AI systems being employed in the detection of dementia, showcasing the promising potential of motion tracking within this domain. Although some progress has been made in this field recently, there remain notable research gaps that require further exploration and investigation. Future endeavors need to compare AI interventions using motion data with traditional screening methods or other tech-enabled dementia detection mechanisms. Besides, future works should aim at understanding how gender and sex, and ethnic and cultural sensitivity can contribute to refining AI interventions, ensuring they are accessible, equitable, and beneficial across all society.

Introduction: Numerous reports regarding cognitive deficits after the coronavirus disease 2019 (COVID-19), described as "brain fog," have been published. However, the clinical presentations and risk factors of post-COVID-19 cognitive impairment are controversial. This study aimed to assess (a) the prevalence of cognitive impairment after COVID-19 hospitalization, (b) characteristics of the cognitive deficits, (c) risk factors of post-COVID-19 cognitive impairment, and (d) comparison of cognitive function between post-COVID-19 patients and healthy people.

Methods: The study comprised 34 SARS-CoV-2-infected patients, admitted to the Neurological Institute of Thailand during the peak of COVID-19 pandemic in 2021-2022. These patients came for neuropsychological and clinical evaluations at 2-week follow-up visit. The cognitive impairment and characteristics were measured by TMSE and MoCA. Clinical risk factors and post-COVID-19 cognitive impairment were assessed. The comparison of cognitive function in post-acute COVID-19 patients and 22 healthy controls was also performed.

Results: The prevalence of post-COVID-19 cognitive impairment defined by a total MoCA score below 25 points was 61.76%. Years of education were the only predictive factors related to cognitive impairment. Our multivariate analysis revealed no statistical difference in cognitive outcomes between post-acute COVID-19 patients and healthy controls.

Conclusion: This study showed a moderate prevalence of cognitive dysfunction after COVID-19 hospitalization similar to previous reports. However, there was no significant difference in cognitive measurements between these patients and healthy people. Whether SARS-CoV-2 infection causes cognitive dysfunction is a myth or fact that still has a long way to prove via further longitudinal study.