Dementia and Geriatric Cognitive Disorders最新文献

Introduction: Depression is often under-detected in long-term care (LTC) patients with major neurocognitive disorders (MNCD) and is associated with important morbidity, mortality, and costs. Observer-rated outcome measures (ObsROMs) could help resolve this problematic; however, evidence on their accuracy is scattered in the literature. This systematic review aimed at summarizing this evidence.

Methods: A literature search was conducted in 7 databases using keywords, MeSHs, and bibliographic searches. We included studies published before January 2022 and reporting on the accuracy of a depression ObsROM used in LTC patients with MNCD. Data extraction, analysis, synthesis, and study methodological quality assessments were done by two authors, and discrepancies were resolved by consensus.

Results: Among 9,660 articles retrieved, 8 studies reporting on 11 depression measures were included. Scales were classified as patient-reported outcome measures used as Obs-ROMs or true ObsROMs. Among the first category, the Cornell Scale for Depression in Dementia (CSDD) and the Montgomery-Asberg Depression Rating Scale (MADRS) performed best (area under the curve [AUC]: 0.73-0.87), although both presented with low positive predictive values and high negative predictive values. Among the second category, the Nursing Homes Short Depression Inventory (NH-SDI) performed best, with an AUC of 0.93 and ≥85% sensitivity, specificity, and predictive values.

Conclusion: The CSDD and MADRS may be useful to rule out depression in LTC patients with MNCD, whereas the NH-SDI may be useful to rule in and out depression within this same population. Before recommending their use, adequately powered studies to further examine their accuracy in different contexts are necessary.

Introduction: The Memory Complaint Scale (MCS-15) is a 15-item instrument to explore frequent forgetfulness in daily life in people with possible cognitive impairment. However, knowledge about its psychometric performance is limited.

Objective: The objective of this study was to know the dimensionality and internal consistency of the MCS-15 in Colombian older adults.

Methods: A probabilistic sample of 1,957 older adults from the general Colombian population was taken, aged between 60 and 98 years (mean = 71.0 ± 7.9), and 62.2% were women. Internal consistency (Cronbach's alpha and McDonald's omega) and dimensionality (exploratory and confirmatory factor analysis) were calculated for the original and ten-item versions.

Results: The 15-item version showed Cronbach's alpha and McDonald's omega of 0.91, and one dimension accounted for 45.3% of the variance. A version of ten items showed Cronbach's alpha and McDonald's omega of 0.89 and a single factor that explained 50.9% of the variance with better indicators in the confirmatory factor analysis. Convergence with the shortened Mini-Mental State Examination was rs = 0.43 (p < 0.001), and the Montreal Cognitive Assessment test was rs = 0.38 (p < 0.001). The nomological validity with the geriatric depression scale was rs = 0.44 (p < 0.001), and women scored higher than men (p < 0.001).

Conclusions: The MCS-15 shows high internal consistency with poor dimensionality. However, a ten-item version shows high internal consistency and a clear one-dimensional structure. More research is needed: testing the performance against a structured interview for major cognitive impairment.

Introduction: Literature shows poor dementia training and competencies among health and social professionals. Due to the growing prevalence of people with dementia and all the related care demands, specialized training is increasingly needed but must be effective in terms of impact on knowledge, behaviors, and attitudes. We aimed to analyze the impact of a first-level dementia training course for staff of a new specialized center for people with dementia, considering the first three levels of Kirkpatrick's evaluation framework, namely, staff reaction (satisfaction), skills and learning (knowledge and dementia attitudes), and behavior changes.

Methods: This is a single-center group pre-post design study of a 12-session online course. An online questionnaire was administered to measure satisfaction, expectations, knowledge/learning, attitudes (Dementia Attitude Scale), and new behaviors/practices. We compared perceived knowledge (Wilcoxon signed-rank test) and attitudes (paired t test). Thematic analysis explored new behaviors/practices.

Results: Eighty-five professionals and 1 volunteer were included (median age 31, 92% female). Satisfaction with the training was high (median 4/5). Perceived knowledge improved (median 3-4; p < 0.001). The knowledge test median score was 70.8%. After training, participants showed better attitudes toward dementia (mean 116.5, SD 10.3, to mean 122.2, SD 11.5; p < 0.001). Most (93%) said their behavior/practice changed. Thematic analysis yielded four new behavior/practice dimensions: care provision/interaction, communication, family/caregivers, and self-confidence.

Conclusions: The course improved all dimensions evaluated, suggesting it effectively provides first-level dementia training. This may be transferable to similar settings.

Introduction: Nursing home (NH) staff mention knowledge deficits regarding the management of behavioural and psychological symptoms of dementia (BPSDs) in residents with neurocognitive disorders (NCDs). Staff training therefore appears to be necessary. However, existing evidence on best training practices and their outcomes remains scattered. This systematic review aimed to (1) identify the best clinical practices and theoretical bases of staff training interventions on BPSD management in NHs and (2) summarize the effects of these interventions on resident and staff outcomes.

Methods: A mixed methods systematic review was conducted. Two nurse researchers independently searched nine electronic databases to identify studies on the efficacy of staff training interventions aimed at BPSD management in NHs, on a variety of resident and staff outcomes. The search was conducted for articles published between 1996 and 2022, using selected keywords, MeSH terms, and predefined eligibility criteria. The methodological quality of the retrieved studies was assessed using JBI checklists.

Results: Overall, 39 studies in 47 articles were included. Ten categories of trainings were identified, of which three demonstrated the most promising results on both residents and staff: (1) structured protocols and models, (2) person-centred bathing, and (3) communication techniques. The methodological quality of the retrieved studies was generally weak. Issues with intervention feasibility and reproducibility were also noted.

Conclusion: Training interventions incorporating structured protocols and models, person-centred bathing, and communication techniques are associated with better staff and resident outcomes. However, there is a strong need for high-quality research to strengthen existing evidence and ensure feasibility and reproducibility.

Introduction: Studies suggest a role of vitamin D in the progression and symptomatology of Alzheimer's disease (AD), with few in vitro studies pointing to effects on serotonergic and amyloidogenic turnover. However, limited data exist in AD patients on the potential association with cognition and behavioral and psychological signs and symptoms of dementia (BPSD). In this retrospective cross-sectional study, we, therefore, explored potential correlations of serum 25-hydroxyvitamin D3 (25(OH)D3) concentrations, indicative of vitamin D status, with serum serotonin (5-hydroxytryptamine, 5-HT) levels, cognitive/BPSD scorings, and cerebrospinal fluid (CSF) biomarker levels.

Methods: Frozen serum samples of 25 well-characterized AD subjects as part of a previous BPSD cohort were analyzed, of which 15 had a neuropathologically confirmed diagnosis. Serum 25(OH)D3 levels were analyzed by means of LC-MS/MS, whereas 5-HT concentrations were quantified by competitive ELISA.

Results: Among AD patients, vitamin D deficiency was highly prevalent, defined as levels below 50 nmol/L. Regression analyses, adjusted for age, gender, and psychotropic medications, revealed that serum 25(OH)D3 and 5-HT levels were positively associated (p = 0.012). Furthermore, serum 25(OH)D3 concentrations correlated inversely with CSF amyloid-beta (Aβ1-42) levels (p = 0.006), and serum 5-HT levels correlated positively with aggressiveness (p = 0.001), frontal behavior (p = 0.001), depression (p = 0.004), and partly with cognitive performance (p < 0.005). Lastly, AD patients on cholinesterase inhibitors had higher serum 25(OH)D3 (p = 0.030) and lower serum 5-HT (p = 0.012) levels.

Conclusions: The molecular associations between low vitamin D status, serum 5-HT, and CSF Aβ1-42 levels are highly remarkable, warranting further mechanistic and intervention studies to disclose potential involvement in the clinico-biobehavioral pathophysiology of AD.

Introduction: As the population ages, the prevalence of cognitive impairment is expanding. Given the recent pandemic, there is a need for remote testing modalities to assess cognitive deficits in individuals with neurological disorders. Self-administered, remote, tablet-based cognitive assessments would be clinically valuable if they can detect and classify cognitive deficits as effectively as traditional in-person neuropsychological testing.

Methods: We tested whether the Miro application, a tablet-based neurocognitive platform, measured the same cognitive domains as traditional pencil-and-paper neuropsychological tests. Seventy-nine patients were recruited and then randomized to either undergo pencil-and-paper or tablet testing first. Twenty-nine age-matched healthy controls completed the tablet-based assessments. We identified Pearson correlations between Miro tablet-based modules and corresponding neuropsychological tests in patients and compared scores of patients with neurological disorders with those of healthy controls using t tests.

Results: Statistically significant Pearson correlations between the neuropsychological tests and their tablet equivalents were found for all domains with moderate (r > 0.3) or strong (r > 0.7) correlations in 16 of 17 tests (p < 0.05). All tablet-based subtests differentiated healthy controls from neurologically impaired patients by t tests except for the spatial span forward and finger tapping modules. Participants reported enjoyment of the tablet-based testing, denied that it provoked anxiety, and noted no preference between modalities.

Conclusions: This tablet-based application was found to be widely acceptable to participants. This study supports the validity of these tablet-based assessments in the differentiation of healthy controls from patients with neurocognitive deficits in a variety of cognitive domains and across multiple neurological disease etiologies.

Introduction: Lewy body disease (LBD) is the second most common neurodegenerative disorder in patients older than 65 years. LBD is characterized by heterogeneous symptoms like fluctuation in attention, visual hallucinations, Parkinsonism, and REM sleep behaviour disorders. Considering the relevant social impact of the disease, identifying effective non-pharmacological treatments is becoming a priority. The aim of this systematic review was to provide an up-to-date literature review of the most effective non-pharmacological treatments in patients with LBD, focussing on evidence-based interventions.

Methods: Following PRISMA criteria, we carried out a systematic search through three databases (PubMed, Cochrane Libraries, and PEDro) including physical therapy (PT), cognitive rehabilitation (CR), light therapy (LT), transcranial direct current stimulation (tDCS), transcranial magnetic stimulation (TMS), electroconvulsive therapy (ECT), deep brain stimulation (DBS). All studies were qualitatively assessed using standardized tools (CARE and EPHPP).

Results: We obtained a total of 1,220 studies of which 23 original articles met eligibility criteria for inclusion. The total number of LBD patients included was 231; mean age was 69.98, predominantly men (68%). Some PT studies highlighted improvements in motor deficits. CR produced significant improvements in mood, cognition, and patient's quality of life and satisfaction. LT outlined a partial trend of improvements in mood and sleep quality. DBS, ECT, and TMS showed some partial improvements mainly on neuropsychiatric symptoms, whereas tDCS provided partial improvements in attention.

Conclusion: This review highlights the efficacy of some evidence-based rehabilitation studies in LBD; however, further randomized controlled trials with larger samples are needed to provide definitive recommendations.

Introduction: We examined the relationship between previous fluctuations in Mini-Mental State Examination (MMSE) scores, future changes in MMSE scores, and attrition from follow-up surveys, which helps in a more comprehensive interpretation of repeatedly collected MMSE scores.

Methods: This 4-year longitudinal study included 2,073 community-dwelling older adults aged ≥65 years in Japan. The MMSE was administered at baseline (T0), 2 years (T1), and 4 years (T2) follow-up. We performed multinomial logistic regression analysis with the dependent variable, indicating the change in MMSE score from T1 to T2 (categorized as increase, no change [reference category], and decrease) and attrition at T2. The independent variables included the change in MMSE scores from T0 to T1 and MMSE scores at T0 and T1.

Results: The mean MMSE score was 29 across the three time points. A one-point decrease in MMSE score from T0 to T1 was associated with 79% (95% confidence interval: 1.62, 1.97) higher odds of an increase in MMSE score from T1 to T2 and 28% (1.17, 1.40) higher odds of attrition at T2. A one-point decrement in the MMSE score at T0 and T1 was also associated with an increase in the MMSE score from T1 to T2 and attrition at T2.

Conclusion: Focusing on cognitive fluctuation for 2 years, rather than cognitive function at a point in time, would have no remarkable advantage when focusing on future cognitive function and attrition. Our results emphasize the need for further studies to identify factors that distinguish between those who continue to attend follow-up surveys and show improvements in cognitive test scores and those who drop out.

Introduction: Alzheimer's disease (AD) is the most prevalent type of dementia and can cause abnormal cognitive function and progressive loss of essential life skills. Early screening is thus necessary for the prevention and intervention of AD. Speech dysfunction is an early onset symptom of AD patients. Recent studies have demonstrated the promise of automated acoustic assessment using acoustic or linguistic features extracted from speech. However, most previous studies have relied on manual transcription of text to extract linguistic features, which weakens the efficiency of automated assessment. The present study thus investigates the effectiveness of automatic speech recognition (ASR) in building an end-to-end automated speech analysis model for AD detection.

Methods: We implemented three publicly available ASR engines and compared the classification performance using the ADReSS-IS2020 dataset. Besides, the SHapley Additive exPlanations algorithm was then used to identify critical features that contributed most to model performance.

Results: Three automatic transcription tools obtained mean word error rate texts of 32%, 43%, and 40%, respectively. These automated texts achieved similar or even better results than manual texts in model performance for detecting dementia, achieving classification accuracies of 89.58%, 83.33%, and 81.25%, respectively.

Conclusion: Our best model, using ensemble learning, is comparable to the state-of-the-art manual transcription-based methods, suggesting the possibility of an end-to-end medical assistance system for AD detection with ASR engines. Moreover, the critical linguistic features might provide insight into further studies on the mechanism of AD.