Alzheimer Disease & Associated Disorders最新文献

Several studies have suggested that white matter hyperintensity volume (WMHV) is increased among apolipoprotein E (APOE) ε4 carriers while others have reported contradictory findings. Although APOE ε4 carriage is associated with greater AD pathology, it remains unclear whether cerebrovascular damage is also associated with APOE ε4 carriage. The aim of this meta-analysis was to determine whether WMHV is associated with APOE ε4 carrier status. 12 studies that were included yielded a total sample size of 16,738 adult subjects (ε4 carrier n = 4,721; ε4 noncarrier n = 12,017). There were no significant differences in WMHV between ε4 carriers and noncarriers (Hedge's g = 0.07; 95% CI (-0.01 to 0.15), P = 0.09). Subgroup analysis of community-based studies (n = 8) indicated a small effect size where ε4 carriers had greater WMHV relative to noncarriers (Hedge's g = 0.09 95% CI (0.02 to 0.16), P = 0.008). Among clinic-based studies (n = 3) there was no significant difference in WMHV by APOE ε4 carrier status (Hedge's g = -0.09, 95% CI (-0.60 to 0.41), P = 0.70). Observed APOE ε4-associated WMHV differences may be context-dependent and may also be confounded by a lack of standardization for WMHV segmentation.

Purpose: The overall goal of this review was to identify what is known about triadic (clinician-patient-caregiver) communication in mild cognitive impairment (MCI) and dementia care settings throughout the care continuum.

Methods: Using a structured search, we conducted a systematic scoping review of relevant published journal articles across 5 databases. Study titles/abstracts and selected full-text articles were screened by 2 investigators in Covidence systematic review software. Articles were excluded if they were not about clinical communication, focused only on caregiver-patient communication or communication in residential care, were interventional, lacked empirical data, or were not in English. Extracted data were documented using Google Forms.

Results: The study team screened 3426 article titles and abstracts and 112 full-text articles. Forty-four articles were included in the final review. Results were categorized by 3 communication scenarios: diagnostic communication (n=22), general communication (n=16), and advanced care planning communication (n=6).

Conclusions and relevance: Across the included articles, the conceptualization and assessment of communication lacked homogeneity. Future directions include addressing these research gaps, establishing recommendations for clinicians to effectively communicate with individuals with dementia and caregivers, and creating and testing communication skills trainings for caregivers/family members, clinicians, and/or individuals with dementia to facilitate effective communication.

Background: Allostatic load (AL) has been studied in the context of biomarkers that may be affected by environmental and contextual stressors, including social determinants of health. The specific stressor studied here is the provision of caregiving to older persons with Alzheimer disease and related disorders. The aims were to examine the factor structure of stress and nonstress biomarkers, different methods for calculating AL, and the relationship of AL with other variables.

Methods: Latent variable models were used to examine biomarkers. Regression analyses were performed with the outcomes: AL calculated as percentile-based and clinically-based for both stress and nonstress components. The sample was 187 Hispanic caregivers to individuals with dementia.

Results: The results of the confirmatory factor analyses (CFAs) suggested defining 2 factors: nonstress and stress-related. Performance was better for the CFA results and the associations with covariates when stress and nonstress components were examined separately. Despite some limitations, this is one of the first studies of biomarkers in Hispanic caregivers to patients with dementia. It was possible to explain almost 30% of the variance in the nonstress AL component.

Conclusion: It may be important to differentiate among biomarkers indicative of cardiovascular, metabolic, and immune response as contrasted with the more stress-related biomarkers.

Introduction: Traumatic brain injury (TBI) is associated with an accelerated course of dementia, although biological relationships are incompletely understood.

Methods: The study examined 1124 participants, including 343 with Alzheimer disease (AD), 127 with AD with TBI, 266 cognitively normal adults with TBI, and 388 cognitively normal adults without TBI. Cortical thickness was quantified from T1-weighted magnetic resonance imaging data. Multiple linear regression was used to determine the interaction between AD and TBI on cortical thickness.

Results: Among those with AD, TBI was associated with an earlier age of AD onset but, counterintuitively, less cortical thinning in frontotemporal regions relative to non-AD controls.

Discussion: AD with TBI represents a distinct group from AD, likely with distinct pathologic contributions beyond gray matter loss. This finding has important implications for the diagnosis and treatment of AD in the presence of TBI and indicates that models of AD, aging, and neural loss should account for TBI history.

Objective: This study assessed older adults' preferences for how to communicate dementia risk information to maximize motivation for behavior change.

Method: Eighty-nine community-dwelling older adults (aged 61 to 92 years, M=72.93, SD=6.36, 76% women) received dementia risk factor information in 2 formats: "traffic lights" (green=risk absent, amber=risk emerging, and red=risk present) or red/risk-only. Participants reported motivation to change risk-related behaviors, motivation to maintain good health behaviors, liking of the formats, categorical preference for traffic lights versus risk-only formats, reasons for preferences (open-ended), total applicable risks, and Motivation to Change Lifestyle and Health Behaviour for Dementia Risk Reduction.

Results: Traffic lights presentation was more motivating ( Z =4.16, P <0.001), more liked ( Z =4.80, P <0.001), and preferred, N Traffic =71, N Red =14, χ 2 (1)=38.22, P <0.001, over risk-only. Self-efficacy and motivation to maintain good health behaviors were significant unique predictors of motivation to change risk-related behaviors following traffic lights presentation over age, sex, education, total applicable risks, perceived susceptibility, cues to action, and liking of the traffic lights presentation format. Themes indicated (1) traffic light presentation is informative and clear, and (2) green-light information increases self-efficacy.

Conclusions: Traffic light presentation increases patient motivation to reduce dementia risk. Green-light information increases self-efficacy. Maximizing motivation through information presentation can decrease dementia prevalence.

Objective: We examined how cognitive complaint types (CCTs) correlate with cognitive testing, perceived stress, and symptom distress in older adults with normal cognition and dementia.

Methods: Older adults (n = 259) with normal cognition, mild cognitive impairment, or mild-stage Alzheimer disease completed cognitive testing and self-report measures (Cognitive Difficulties Scale, Global Distress Index, Perceived Stress Scale). Cross-sectional analyses examined: (1) CCT composition by classification method,( 2) CCTs by diagnostic group, (3) correlations of CCTs with cognitive testing scores, and (4) correlations of CCTs with perceived stress and symptom distress.

Results: CCTs derived from 2 classification approaches loaded onto 4 factors: memory, attention-concentration (AC), temporal orientation, and praxis. Memory contained complaints about both memory and executive functioning. AC contained both classifications of AC complaints. Complaints about AC (AC1 and AC2) differed by diagnostic group (all P < 0.05). One of 2 classifications of AC (AC1) complaints discerned between impaired and unimpaired long-delay memory scores (both P < 0.05). In multivariable analyses, that same classification of AC (AC1) complaints correlated with higher perceived stress (both P < 0.001) but not symptom distress (both P > 0.05).

Conclusion: CCTs showed a factor structure that was mostly robust between classification methods; however, some content-divergent CCTs shared factors, suggesting construct overlap. Relatively slight variations in content altered how CCTs correlated with diagnostic groups, perceived stress, and symptom distress. Most CCTs did not discern between impaired and unimpaired cognitive test scores. Research is needed to better understand CCTs as clinical markers and targets of clinical interventions.

Background: Despite the number of people living with Alzheimer disease (AD), awareness of the early stages of this condition, including mild cognitive impairment due to AD-which poses management challenges-continues to be low. To identify areas for improvement in early AD management, dementia specialists convened in a virtual roundtable meeting.

Methodology: A modified version of the nominal group technique was followed to prioritize specific topics and allow experts to provide their opinions. The overarching topics prioritized and discussed were (1) education and support for primary care physicians on cognitive assessment, detection of mild cognitive impairment, and patient monitoring; (2) nonpharmacological interventions; (3) and the introduction of disease-modifying therapies.

Conclusions: Consensus was achieved regarding the need for educating primary care physicians on identifying people with cognitive impairment and for better diagnostic tools for its detection and early management. Management of mild cognitive impairment due to AD should encompass an adequate follow-up schedule aiming to maintain function for as long as possible, and primary care physicians and patients should be aware of the benefits of nonpharmacological interventions.

Objective: Using the metadata collected in the digital version of the Self-Administered Gerocognitive Examination (eSAGE), we aim to improve the prediction of mild cognitive impairment (MCI) and dementia (DM) by applying machine learning methods.

Patients and methods: A total of 66 patients had a diagnosis of normal cognition (NC), MCI, or DM, and eSAGE scores and metadata were used. eSAGE scores and metadata were obtained. Each eSAGE question was scored and behavioral features (metadata) such as the time spent on each test page, drawing speed, and average stroke length were extracted for each patient. Logistic regression (LR) and gradient boosting models were trained using these features to detect cognitive impairment (CI). Performance was evaluated using 10-fold cross-validation, with accuracy, precision, recall, F1 score, and receiver operating characteristic area under the curve (AUC) score as evaluation metrics.

Results: LR with feature selection achieved an AUC of 89.51%, a recall of 87.56%, and an F1 of 85.07% using both behavioral and scoring. LR using scores and metadata also achieved an AUC of 84.00% in detecting MCI from NC, and an AUC of 98.12% in detecting DM from NC. Average stroke length was particularly useful for prediction and when combined with 4 other scoring features, LR achieved an even better AUC of 92.06% in detecting CI. The study shows that eSAGE scores and metadata are predictive of CI.

Conclusions: eSAGE scores and metadata are predictive of CI. With machine learning methods, the metadata could be combined with scores to enable more accurate detection of CI.

Purpose: The Carer Assessment of medicaTion management guidanCe for people with dementia at Hospital discharge (CATCH) tool was developed to examine the carer's experiences of medication management guidance delivery at discharge. This study explored its factor structure, characterized carers' experiences at discharge, and identified predictors of carer preparedness to manage medications at discharge.

Methods: A cross-sectional survey of carers across Australia was distributed. Survey responses were analyzed descriptively, and exploratory factor and regression analyses were performed.

Results: A total of 185 survey responses were completed. Exploratory factor analysis revealed 2 factors in the CATCH tool: (1) shared and supported decision-making in medication management (16 items loading 0.47 to 0.93); 2) provision of medication management guidance that is easy to understand (4 items loading (0.48 to 0.82). Internal consistency was acceptable (Cronbach alpha >0.8). Almost 18% of participants stated that they were not included in decisions about medications for people with dementia. The carer reported that the measure of how guidance is provided was positively related to their confidence in the management of medications postdischarge and satisfaction ( P < 0.05 for both).

Conclusions: The CATCH tool can give the patient and carer an opportunity to provide feedback on key elements of medication management guidance delivered at discharge.

Although psychotic symptoms have been described in association with rare presenilin ( PSEN ) gene mutations underlying early-onset Alzheimer disease (AD), no contemporary reviews on this topic exist. The purpose of this review is to characterize the psychiatric phenotype (specifically with respect to psychosis) of PSEN1 and PSEN2 variant-associated AD. A PubMed search was completed in July 2023. Only articles that described individuals harboring a PSEN1 or PSEN2 mutation who experienced symptoms of psychosis were included in the review. Thirty-three articles describing 52 individuals were included in the review, as well as one other study that provided limited information pertaining to an additional 21 cases. While visual hallucinations were the most common psychotic symptom, followed by persecutory delusions, auditory hallucinations occurred in ~17% of individuals. In ~33% of the reviewed cases psychotic symptoms were present at or near disease onset, and 9 of these individuals experienced auditory hallucinations and/or delusions in the absence of visual hallucinations (~17% of all cases). In many cases, symptoms developed at a relatively young age. As presenilin gene variant-associated psychosis may resemble a primary psychotic disorder, clinicians should be vigilant with respect to screening for signs/symptoms suggestive of neurodegeneration in first-episode psychosis.