Dementia and Geriatric Cognitive Disorders Extra最新文献

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.

Introduction: Due to the ongoing outbreak of the coronavirus disease 2019 (COVID-19), it is currently difficult to conduct in-person exercise classes. We thus started the program of an online physical exercise with musical accompaniment. Several interesting differences were found in the characteristics of the online participants compared with our previous in-person interventions.

Participants and methods: The total number of subjects was 88 (71.2 ± 4.9 years old; male 42, female 46). The questionnaire included the attributes of the participants, the perceived advantages of the exercise classes, and the presence or absence of noticeable changes in cognitive and physical function after participating in the classes.

Results: The personal computers used to attend the online classes were operated by the participants themselves. About 42% of the participants felt that their sense of day of the week and volition were improved by attending the exercise classes for 3 months. The most frequent answer to the reason for participation was because it was free (81.8%). The second most frequent answer was because the classes were held online (75.0%). Almost half of the participants answered that they would not participate if it was held in person because of the risk of COVID-19 infection (75.0%) and the difficulty getting to the site where the exercise classes were held (59.1%).

Conclusion: Online physical exercise with musical accompaniment improved the perceived orientation, volition, activity, exercise habits, and health condition in 30-40% of the participants and also stimulated greater participation by males compared to classes held in person.

Introduction: Early detection and intervention are important to prevent dementia. Gait parameters have been recognized as a potentially easy screening tool for mild cognitive impairment (MCI); however, differences in gait parameters between cognitive healthy individuals (CHI) and MCI are small. Daily life gait change may be used to detect cognitive decline earlier. In the present study, we aimed to clarify the relationship between cognitive decline and daily life gait.

Methods: We performed 5-Cog function tests and daily life and laboratory-based gait assessments on 155 community-dwelling elderly people (75.5 ± 5.4 years old). Daily life gait was measured for 6 days using an iPod-touch with an accelerometer. Laboratory-based 10-m gait (fast pace) was measured using an electronic portable walkway.

Results: The subjects consisted of 98 CHI (63.2%) and 57 cognitive decline individuals (CDI; 36.8%). Daily life maximum gait velocity in the CDI group (113.7 [97.0-128.5] cm/s) was significantly slower than that in the CHI group (121.2 [105.8-134.3] cm/s) (p = 0.032). In the laboratory-based gait, the stride length variability in the CDI group (2.6 [1.8-4.1]) was significantly higher than that in the CHI group (1.8 [1.2-2.7]) (p < 0.001). The maximum gait velocity in daily life gait was weakly but significantly correlated with stride length variability in laboratory-based gait (ρ = -0.260, p = 0.001).

Conclusion: We found an association between cognitive decline and slower daily life gait velocity among community-dwelling elderly people.

Introduction: Case managers can guide caregivers during their search for care for relatives with neurocognitive disorders. The present study aimed to evaluate the effects of this procedure on caregiver burden and quality of life.

Methods: Family caregivers searching for care at a memory clinic before the first consultation were provided written information and they provided verbal consent to participate in this pre-post intervention study. Intervention was a structured pre-consultation phone call interview given by the case manager to inform and organize individualize pathway of care. The mini-Zarit Burden Interview and the EuroQol five-dimensional questionnaire quality of life scores were recorded by an independent assessor before the intervention and 1 month thereafter. An expectation questionnaire was also completed during the assessments. The pre and post scores were compared using the Wilcoxon signed-rank test.

Results: In total, 45 participants were enrolled and 35 were assessed twice. There was no significant change in the total mini-Zarit Burden Interview score; however, the levels of stress due to caring and meeting familial responsibilities (p = 0.025), and the fear of what the future holds for the participants' relative (p = 0.01) was lower at 1 month. The need for information about the pathways of care decreased, but no change in support satisfaction was observed. Quality of life was good and did not change.

Conclusions: During the pre-consultation intervention, the case manager may fulfill several needs of caregivers, particularly to obtain personalized information, which should be implemented in memory clinics.

Aim: We aimed to investigate differences in the awareness of instrumental activities of daily living (IADL) disability between elderly patients with and without dementia requiring care.

Methods: We assessed 25 elderly individuals requiring care and their primary caregivers using the Lawton IADL scale, with score differences between the patients and their caregivers representing the level of impaired awareness of IADL disability.

Results: Among the participants, 80% exhibited impaired awareness of IADL disability. In terms of total score on the Lawton scale, there was no between-group difference in the occurrence of impaired awareness of IADL disability (p = 0.274, φ = 0.31). Contrastingly, regarding the subitems of the Lawton scale, the dementia group had a significantly higher number of participants with impaired awareness of responsibility for their own medications than the nondementia group (p = 0.030, φ = 0.47). Further, there were no significant between-group differences in the ability to use telephone, shopping, mode of transportation, or ability to handle finances.

Conclusions: It is important for caregivers to notice the emergence of impaired awareness among the elderly as soon as possible to ensure early diagnosis and treatment. The results of this study suggest the need for caregivers to take care of the elderly patients with the perspective that they may develop impaired awareness of responsibility for their own medications.