Alzheimer Disease & Associated Disorders最新文献

Purpose: Standardization of neuropsychological tests is crucial for consistency in cognitive assessment, as well as for validity and comparability of results across different populations. We examined the applicability and measurement equivalence of the Alzheimer Disease Research Centers' Neuropsychological Test Battery (version 3) (ADRC-NTB3) in Singapore.

Methods: The ADRC-NTB3 was administered to 978 older persons with normal cognition in Singapore. To provide comparison between Singapore and US samples, a US sample with similar profile was retrieved from the National Alzheimer Coordinating Center (NACC) database.

Patients: Scores were compared with 1853 participants with similar profile from the United States. Score-difference between the populations was computed using multiple linear regression (adjusted for covariates), with equivalent score considered present when 90% CI of the score-difference fell within the predefined margin of equivalence.

Results: Tasks assessing for memory, processing speed, and executive functioning showed equivalence in scores between US and Singapore samples (adjusted-score difference=-0.94 to 0.09). Singapore sample performed marginally better on the visuospatial task (adjusted-score difference=0.50), but poorer on the language task (adjusted-score difference=-3.22).

Discussion: Nonequivalence of visuospatial and language tasks, which may increase potential misinterpretation of cognitive profiles and misdiagnosis, are related to educational and cultural differences. This highlights the need for different normative data for more accurate diagnostic accuracy as well as research priorities.

There is no consensus on how long antidementia medications should be administered to patients with Alzheimer disease (AD). To clarify this issue, we investigated the discontinuation of antidementia medications in Japanese home care settings, including community-dwelling and institutionalized patients. Using medical records from April 2017 to March 2022 at 3 clinics in Tokyo and Chiba prefectures, we selected patients with AD who started receiving home care medicine. Forty-nine patients discontinued antidementia medications during the observation period, there was no apparent deterioration in cognitive function or new occurrence of behavioral and psychological symptoms of dementia caused by the discontinuation of medications. More aggressive discontinuation of AD medications probably is recommended for patients with activities of daily living dysfunction, such as those receiving home care medicine.

Background: This study extends prior research from the MRI substudy of the Women's Health Initiative Memory Study (WHIMS-MRI) linking BMI to reduced brain atrophy and ischemic lesion load by examining DXA-based measurements of total body fat, total abdominal adipose tissue (TAT), abdominal visceral (VAT) and subcutaneous (SAT) adipose tissue, gynoid fat, and overall leg fat.

Methods: The analytic sample consisted of 61 postmenopausal women (baseline mean age 69.5 [3.6]) enrolled in WHIMS-MRI who had undergone DXA scans. DXA scans were completed at years 0, 3, and 6, and MRI scans were conducted ~8 years after baseline. Adjusted linear regression models were used to analyze the association between adiposity averaged across the 3-time points and volumes of brain regions previously linked to dementia.

Results: Higher levels of total body fat, TAT, VAT, SAT, gynoid, and overall leg fat were associated with larger hippocampal volume (β 0.02 [95% CI, 0.004-0.04]; 0.11 [0.02-0.21]; 0.26 [0.04-0.47]; 0.18 [0.03-0.33]; 0.18 [0.05-0.30]; 0.07 [0.009-0.12], respectively). No other significant associations were observed.

Conclusion: Higher levels of adiposity were positively associated with hippocampal volume. Additional research with larger sample sizes is needed to ascertain the significance of this association.

Background: Previous studies were examined effects of social restriction by COVID-19 pandemic on elderly peoples or compared difference of before/after restrictions on patients with Alzheimer disease-related dementia (ADRD). Here, we assessed the effects of restrictions on the cognitive function of the patients by comparing control group.

Methods: We examined the impact on cognitive function using the Alzheimer Disease Assessment Scale (Japanese version) cognitive subscale (ADAS-JCOG), in patients with mild to moderate ADRD by a post hoc subgroup analysis of double-blinded, noninferiority study of donepezil 27.5 mg patches and donepezil hydrochloride 5 mg tablets (JapicCTI-194582). After demonstrating the noninferiority of both treatments, we used combined data for this analysis.

Results: The analyzed subpopulation of the per-protocol set groups was balanced (n=126 and 135, respectively). Patient demographics were similar between subgroups. The difference of ADAS-JCOG scores [least-squares mean (95%CI)] between the groups was 0.388 (-0.377 to 1.152, not statistically significant).

Conclusion: Social isolation affects cognitive function on ADRD and this knowledge should be considered in future.

Purpose: The National Institute of Health Toolbox Cognition Battery (NIHTB-CB) is increasingly used in Alzheimer disease (AD) research. We examined the relation of AD biomarkers with performance in the NIHTB-CB in late middle age.

Methods: This is a cross-sectional analysis of 334 Hispanic participants aged 64.22±3.35 years from a study of AD biomarkers. White matter hyperintensities (WMH), infarcts, and cortical thickness in AD regions (CT) were assessed with 3T magnetic resonance imaging. Amyloid and tau were assessed with 18F-Florbetaben and 18F-MK6240 positron emission tomography, respectively.

Results: Lower CT and infarcts were associated with worse Oral Reading Recognition and Cognition Crystallized Composite scores. Lower CT and higher WMH were associated with worse Pattern Comparison Processing Speed. Amyloid and tau were not associated with any test.

Discussion: Amyloid and tau, the culprits of AD, are not related to the NIHTB-CB in late middle age. Continued follow-up will reveal if AD impacts performance on the NIHTB-CB.

Introduction: There was limited evidence on the ability of people with Alzheimer disease (AD) to perceive their own emotions. We aimed to compare socioemotional self-perception in persons with mild and moderate AD to their caregivers' perspective.

Method: Cross-sectional assessment of people with mild (n=102) and moderate (n=59) AD and caregivers. Each participant and their caregivers completed the socioemotional questionnaire (SEQ); a 30-item rating scale assessing five dimensions of socioemotional cognition (empathy, emotion recognition, social conformity, antisocial behavior, sociability). We evaluated global cognition, awareness of disease, dementia severity, functionality, neuropsychiatric symptoms, and caregiver burden.

Results: Participants in the mild and moderate groups showed a similar pattern of socioemotional self-perception. They differed in the anger domain of the emotion recognition subscale, in the antisocial behavior dimension, and in the sociability subscale. In contrast, the caregivers' perspective of people with mild and moderate AD showed a significant difference in the emotion recognition domain for fear, disgust, and sadness. There were also significant differences in the empathy subscale for disgust and in the sociability subscale. Cognition was correlated with self-reported reduced perception in social conformity, antisocial behavior, and sociability. Awareness was correlated with emotion recognition, antisocial behavior, and sociability. Neuropsychiatric symptoms were correlated with empathy, emotion recognition, and social conformity.

Conclusions: Significant differences were found between caregivers' perspectives of socioemotional functioning in people with mild and moderate AD. Meanwhile, there were minimal differences in self-perception between the mild and moderate groups.

Introduction: Early identification of clinical conditions associated with Alzheimer disease and related dementias (ADRD) is vital for intervention. One promising early detection method is the use of instrumented assessment to identify subtle motor declines associated with ADRD. This pilot study sought to establish the feasibility of building a machine learning model to identify individuals with mild cognitive impairment (MCI) using motor function data obtained from an inexpensive, portable device.

Methods: Our novel, multimodal motor function assessment platform integrates a depth camera, forceplate, and interface board. Healthy older adults (n=28) and older adults with MCI (n=19) were assessed during static balance, gait, and sit-to-stand activities in both single- and dual-task conditions. Three machine learning models (ie, support vector machine, decision trees, and logistic regression) were trained and tested with the goal of classification of MCI.

Results: Our best model was decision trees, which demonstrated an accuracy of 83%, a sensitivity of 0.83, a specificity of 1.00, and an F1 score of 0.83. The top features were extracted and ranked on importance.

Discussion: This study demonstrates the feasibility of building a machine learning model capable of identifying individuals with mild cognitive impairment using motor function data obtained with a portable, inexpensive, multimodal device.

Objectives: Functional impairment can be an early indicator of cognitive decline. However, its predictive utility in cognitively normal (CN) older adults remains unclear. This study aimed to determine whether mild functional impairment (MFI) in CN older adults could predict incident dementia over 6 years, in addition to assessing its association with cognitive performance.

Design: A longitudinal study with a 6-year follow-up.

Participants: A cohort of 296 community-dwelling CN older adults.

Measurements: MFI was defined by cutoffs for impairment on an objective performance-based and/or subjective questionnaire-based functional assessment. Cox regression analysis was conducted to assess the relationship between MFI and risk of incident dementia and cognitive performances over 6 years. Linear regression analysis examined the association between MFI and baseline cognitive performance.

Results: There were no significant longitudinal associations between MFI and incident dementia or changes in cognitive performance over 6 years. Defining MFI using both performance-based and informant-reported assessments was predictive of dementia. Cross-sectional analyses demonstrated significant associations between MFI and poorer baseline global cognition and performance in attention, visuospatial ability, and executive functioning.

Conclusions: CN older adults with MFI were not at an increased risk of developing dementia over 6 years. A definition of functional impairment requiring both performance-based and informant-based assessments may be useful in predicting dementia.

Introduction: The objective of this pilot study was to establish the feasibility of recruiting older Vietnamese Americans for research addressing genetic and nongenetic risk factors for Alzheimer disease (AD).

Methods: Twenty-six Vietnamese Americans were recruited from communities in San Diego. A Community Advisory Board provided cultural and linguistic advice. Bilingual/bicultural staff measured neuropsychological, neuropsychiatric, lifestyle, and medical/neurological functioning remotely. Saliva samples allowed DNA extraction. A consensus team reviewed clinical data to determine a diagnosis of normal control (NC), mild cognitive impairment (MCI), or dementia. Exploratory analyses addressed AD risk by measuring subjective cognitive complaints (SCC), depression, and vascular risk factors (VRFs).

Results: Twenty-five participants completed the study (mean age=73.8 y). Eighty percent chose to communicate in Vietnamese. Referrals came primarily from word of mouth within Vietnamese communities. Diagnoses included 18 NC, 3 MCI, and 4 dementia. Participants reporting SCC acknowledged more depressive symptoms and had greater objective cognitive difficulty than those without SCC. Eighty-eight percent of participants reported at least 1 VRF.

Discussion: This pilot study supports the feasibility of conducting community-based research in older Vietnamese Americans. Challenges included developing linguistically and culturally appropriate cognitive and neuropsychiatric assessment tools. Exploratory analyses addressing nongenetic AD risk factors suggest topics for future study.

Urinary Alzheimer-associated neuronal thread protein (AD7c-NTP) is regarded as a biomarker for β-amyloid protein deposition in Alzheimer disease (AD). The value of AD7c-NTP in predicting post-stroke cognitive recovery was worth exploring. In total, 224 patients with first-ever stroke were enrolled in this retrospective study. Cognitive assessment was evaluated by Mini-Mental State Examination (MMSE), and cognitive improvement was defined as MMSE scores ≥27 or 4-score elevation at 3-month follow-up after stroke. The AD7c-NTP level was 0.68±0.40 ng/mL in the 135 patients with cognitive improvement, while the AD7c-NTP level was 1.49±0.99 ng/mL in the 89 patients without improvement ( P <0.001). Those displaying better cognitive recovery also had younger ages, higher MMSE scores, and lower NIHSS scores on admission. In multivariable logistic regression analysis, AD7c-NTP concentration (OR=9.14, 95% CI: 4.52-18.49, P <0.001), age (OR=1.04, 95% CI: 1.01-1.08, P =0.012), and NIHSS score on admission (OR=1.17, 95% CI: 1.07-1.28, P <0.001) remained the independent risk factors affecting cognitive recovery. The area under the receiver operating characteristics curve for AD7c-NTP in predicting unfavorable cognitive function was 0.80 (sensitivity: 0.73 and specificity: 0.84). Urinary AD7c-NTP is a valuable biomarker associated with post-stroke cognitive recovery. It might be adopted to discriminate coexisting AD pathology from vascular cognitive impairment.