Dementia and Geriatric Cognitive Disorders最新文献

Background: Cardiovascular disease (CVD), including elevated blood pressure (BP), is known to promote Alzheimer's disease (AD) risk. Although brain amyloid load is a recognized hallmark of pre-symptomatic AD, its relationship to increased BP is less known. The objective of this study was to examine the relationship of BP to brain estimates of amyloid-β (Aβ) and standard uptake ratio (SUVr). We hypothesized that increased BP is associated with increased SUVr.

Methods: Using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we stratified BP according to the Seventh Joint National Committee (JNC) on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure Classification (JNC VII). Florbetapir (AV-45) SUVr was derived from the averaged frontal, anterior cingulate, precuneus, and parietal cortex relative to the cerebellum. A linear mixed-effects model enabled the elucidation of amyloid SUVr relationships to BP. The model discounted the effects of demographics, biologics, and diagnosis at baseline within APOE genotype groups. The least squares means procedure was used to estimate the fixed-effect means. All analyses were performed using the Statistical Analysis System (SAS).

Results: In non-ɛ4 carrier MCI subjects, escalating JNC categories of BP was associated with increasing mean SUVr using JNC-4 as a reference point (low-normal (JNC1) p = 0.018; normal (JNC-1) p = 0.039; JNC-2 p = 0.018 and JNC-3 p = 0.04). A significantly higher brain SUVr was associated with increasing BP despite adjustment for demographics and biological variables in non-ɛ4 carriers but not in ɛ4-carriers. This observation supports the view that CVD risk may promote increased brain amyloid load, and potentially, amyloid-mediated cognitive decline.

Conclusion: Increasing levels of JNC classification of BP is dynamically associated with significant changes in brain amyloid burden in non-ɛ4 carriers but not in ɛ4-carrier MCI subjects. Though not statistically significant, amyloid burden tended to decrease with increasing BP in ɛ4 homozygote, perhaps motivated by increased vascular resistance and the need for higher brain perfusion pressure.

Introduction: Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD.

Methods: A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated.

Results: The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46-100%) sensitivity, 83% (95% CI: 69-91%) specificity, and 36% (95% CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46-100%) sensitivity, 75% (95% CI: 61-86%) specificity, and 28% (95% CI: 11-54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001).

Conclusion: The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.

Introduction: Stem cell-based regenerative medicine has provided an excellent opportunity to investigate therapeutic strategies and innovative treatments for Alzheimer's disease (AD). However, there is an absence of visual overviews to assess the published literature systematically.

Methods: In this review, the bibliometric approach was used to estimate the searched data on stem cell research in AD from 2004 to 2022, and we also utilized CiteSpace and VOSviewer software to evaluate the contributions and co-occurrence relationships of different countries/regions, institutes, journals, and authors as well as to discover research hot spots and encouraging future trends in this field.

Results: From 2004 to 2022, a total of 3,428 publications were retrieved. The number of publications and citations on stem cell research in AD has increased dramatically in the last nearly 20 years, especially since 2016. North America and Asia were the top 2 highest output regions. The leading country in terms of publications and access to collaborative networks was the USA. Centrality analysis revealed that the UCL (0.05) was at the core of the network. The Journal of Alzheimer's Disease (n = 102, 2.98%) was the most productive academic journal. The analyses of keyword burst detection indicated that exosomes, risk factors, and drug delivery only had burst recently. Citations and co-citation achievements clarified that cluster #0 induced pluripotent stem cells, #2 mesenchymal stem cells, #3 microglia, and #6 adult hippocampal neurogenesis persisted to recent time.

Conclusion: This bibliometric analysis provides a comprehensive guide for clinicians and scholars working in this field. These analysis and results hope to provide useful information and references for future understanding of the challenges behind translating underlying stem cell biology into novel clinical therapeutic potential in AD.

Introduction: The study aimed to explore longitudinal cognitive outcomes and to ascertain predictors of conversion to dementia in a hospital-based mild cognitive impairment (MCI) cohort classified according to the neuropsychological phenotype at baseline.

Materials and methods: Subjects aged >55 years who had a clinical diagnosis of MCI at initial visit between 2010 and 2018, with at least one formal neuropsychological assessment at baseline and follow-up of a minimum of 2 years were included. The prospective study was completed based on evaluation at last follow-up to gauge conversion to dementia, quantification of performance on activities of daily living and when available, longitudinal neuropsychological test scores.

Results: Ninety-five patients with MCI met the inclusion criteria with a mean age of 68.4 ± 6.4 years at baseline and a mean duration of follow-up for 6.4 ± 3.2 years. The cumulative conversion rate to dementia was 22.2% (21/95) and the annualized conversion rate was 3.3% per year of follow-up. The majority of subjects who had converted had multidomain MCI (66%). Only white matter changes on MRI brain revealed correlation with baseline neuropsychology tests. The multivariate logistic regression analysis revealed the utility of lower baseline list recognition (adjusted odds ratio: 0.735 [95% confidence interval: 0.589-0.916]; p 0.006), lower immediate logical memory (0.885 [0.790-0.990]; p 0.03), and high perseverative error scores on set shifting (3.116 [1.425-6.817]; p 0.004) as predictors of conversion. A model score of +2.615 could predict conversion with sensitivity of 72% and specificity of 98% over 6.4 years follow-up.

Conclusion: There was a higher risk of conversion associated with multidomain MCI. Logistic regression-based estimations of dementia risk utilizing domain-based neuropsychology test scores in MCI have high specificity for diagnosis at baseline.

Introduction: Hearing loss (HL) is considered a potentially modifiable risk factor for dementia. We aimed to examine the relationship between HL and incident dementia diagnosis in a province-wide population-based cohort study with matched controls.

Methods: Administrative healthcare databases were linked to generate a cohort of patients who were aged ≥40 years at their first claimed hearing amplification devices (HAD) between April 2007 and March 2016 through the Assistive Devices Program (ADP) (257,285 with claims and 1,005,010 controls). The main outcome was incident dementia diagnosis, ascertained using validated algorithms. Dementia incidence was compared between cases and controls using Cox regression. Patient, disease, and other risk factors were examined.

Results: Dementia incidence rates (per 1,000 person-years) were 19.51 (95% confidence interval [CI]: 19.26-19.77) and 14.15 (95% CI: 14.04-14.26) for the ADP claimants and matched controls, respectively. In adjusted analyses, risk of dementia was higher in ADP claimants compared with controls (hazard ratio [HR]: 1.10 [95% CI: 1.09-1.12, p < 0.001]). Subgroup analyses showed a dose-response gradient, with risk of dementia higher among patients with bilateral HADs (HR: 1.12 [95% CI: 1.10-1.14, p < 0.001]), and an exposure-response gradient, with increasing risk over time from April 2007-March 2010 (HR: 1.03 [95% CI: 1.01-1.06, p = 0.014]), April 2010-March 2013 (HR: 1.12 [95% CI: 1.09-1.15, p < 0.001]), and April 2013-March 2016 (HR: 1.19 [95% CI: 1.16-1.23, p < 0.001]).

Conclusion: In this population-based study, adults with HL had an increased risk of being diagnosed with dementia. Given the implications of HL on dementia risk, understanding the effect of hearing interventions merits further investigation.

Introduction: This paper provides a summary of findings on the public's knowledge and attitudes towards dementia. We aim to investigate if the attitudes of Singaporeans towards dementia have changed over the years by adopting a questionnaire used in a similar study in 2012.

Methods: A cross-sectional, descriptive study was conducted through the dissemination of an existing, online questionnaire to participants above 16 years of age. Out of 1,500 subjects, results from 1,373 participants were analysed. Descriptive statistics were used to analyse and compare results from the 2012 study while a latent class analysis was performed to understand the categories of study participants based on varying levels of attitudes, knowledge and stigma.

Results: The mean age of study participants was 43.8 (SD = 15.7). Majority of the participants were females (76.5%), between 51 and 60 years of age (29.6%) and belonged to the Chinese ethnic group (77.8%). Results demonstrated that there were significant differences in attitudes towards dementia between 2012 and 2021. There was a 70.2% improvement in stigma-associated attitudes and an increase in correct responses to 4 out of 5 questions in the knowledge section.

Conclusion: Findings of this study suggest that the general public has a better knowledge and more positive attitude towards dementia. This could have been attributed to higher literacy levels of the current study population and effectiveness of established outreach initiatives in Singapore. However, further research with a more balanced representation of ethnic and cultural groups would offer more comprehensive insights into dementia health literacy.

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.