Alzheimer Disease & Associated Disorders最新文献

Background: Identifying potentially modifiable risk factors associated with MCI in different ethnoracial groups could reduce MCI burden and health inequity in the population.

Methods: Among 2845 adults aged 65+ years, we investigated potential risk exposures including education, physical and mental health, lifestyle, and sensory function, and their cross-sectional associations with MCI. We compared proportions of exposures between Black and White participants and explored relationships among race, MCI, and exposures. Logistic regression modeled MCI as a function of each exposure in the overall sample adjusting for age, sex, educational level, and race, and investigating race*exposure interactions.

Results: Compared with White participants, Black participants had greater odds of MCI (OR 1.53; 95% CI, 1.13 to 2.06) and were more likely to report depressive symptoms, diabetes, and stroke, to have high blood pressure and BMI, and to be APOE - 4 carriers. Exposures associated with higher odds of MCI were diabetes, stroke, lifetime smoking, sleep disturbances, social isolation, loneliness, depression and anxiety symptoms, and vision and hearing loss. There were no significant interactions between race and any exposure.

Conclusions: Black participants had 53% higher odds of MCI adjusting for age, sex, and education. The same exposures were associated with MCI in Black and White participants.

Objective: Most prior research on physical activity (PA) and cognition is based on predominantly white cohorts and focused on associations of PA with mean (average) cognition versus the distribution of cognition. Quantile regression offers a novel way to quantify how PA affects cognition across the entire distribution.

Methods: The Kaiser Healthy Aging and Diverse Life Experiences study includes 30% white, 19% black, 25% Asian, and 26% Latinx adults age 65+ living in Northern California (n = 1600). The frequency of light or heavy PA was summarized as 2 continuous variables. Outcomes were z-scored executive function, semantic memory, and verbal episodic memory. We tested associations of PA with mean cognition using linear regression and used quantile regression to estimate the association of PA with the 10th-90th percentiles of cognitive scores.

Results: Higher levels of PA were associated with higher mean semantic memory (b = 0.10; 95% CI: 0.06, 0.14) and executive function (b = 0.05; 95% CI: 0.01, 0.09). Associations of PA across all 3 cognitive domains were stronger at low quantiles of cognition.

Conclusion: PA is associated with cognition in this racially/ethnically diverse sample and may have larger benefits for individuals with low cognitive scores, who are most vulnerable to dementia.

Background: The gut microbiome is a complex system within the human gastrointestinal tract. The bacteria play a significant role in human health, and some can promote inflammation and pathologic processes through chemical interactions or metabolites. Gut microbiome dysbiosis has been linked to some neurological and other diseases. Here we aimed to examine microbiome differences between patients with a progressive neurological disorder, idiopathic normal pressure hydrocephalus (iNPH), compared with healthy controls (CO).

Methods: We recruited 37 neurologically healthy CO and 10 patients with shunted iNPH. We evaluated these participants' cognition using the CERAD-NB test battery and CDR test, and collected a variety of information, including about dietary habits and health. We also collected fecal samples, which were subjected to 16S amplicon sequencing to analyze differences in gut microbiome composition.

Results: We found that the iNPH group exhibited significantly different abundances of 10 bacterial genera compared with the CO group. The Escherichia/Shigella and Anaeromassilibacillus genera were most remarkably increased. Other increased genera were Butyrivibrio , Duncaniella , and an unidentified genus. The decreased genera were Agathobaculum , Paramuribaculum , Catenibacterium , and 2 unidentified genera.

Conclusions: Here we report the first identified microbiome differences in iNPH patients compared with healthy controls.

Introduction: Enrolling individuals from underrepresented ethnoracial groups in aging research is often a challenge.

Methods: We sought a diverse sample of older adults from a small-town area for a longitudinal aging study. We employed an intensive community engagement approach encompassing a range of recruitment strategies.

Results: Over 4 years a steady trickle of individuals, 66% self-identifying as Black, signed up for study information; the proportion of those who eventually enroll in the study has been rising each year, from 68% to 94%. Community events, word-of-mouth referrals, and mailed postcards brought in the most contacts. The highest percentage of contacts who ultimately enrolled were from postcards, flyers, and word-of-mouth. Significantly more word-of-mouth referrals were endorsed by Black individuals than White and by Black men than other race/sex groups.

Conclusions: We have had some success in building relationships and trust with the local community, enrolling Black study participants in a proportion equal to their representation in the target community using a variety of recruitment methods. Patience, immersion in the community, and partnerships with key community members alongside traditional advertisements, and the utilization of study participants as recruiters are critical to designing optimal, targeted, recruitment strategies.

Background: Persons living with Alzheimer disease and related dementia (ADRD) in nursing homes (NH) are often excluded from conversations about their health/safety. These omissions impinge on personhood and the rights to have care preferences heard and honored. While persons with ADRD maintain the ability to communicate their preferences long after their decision-making abilities are affected, little is known about how persons with ADRD understand the risks associated with their preferences.

Methods: As part of a larger focused ethnography, in-depth interviews and an adapted risk propensity questionnaire explored the risk perceptions of NH residents with ADRD (N=7) associated with their preferences for care and activities of daily living.

Results: Residents generally self-identified as risk avoiders ( M =3.2±1.84) on the risk propensity scale and were able to rate risk associated with preferences described within 5 thematic categories: 1) participation in decision-making, 2) risk awareness, 3) paying attention to safety, 4) reliance on nursing home staff and family, and 5) impacts on quality of life and quality of care.

Discussion: Results suggest NH residents with ADRD can express risk surrounding their preferences and should be encouraged to participate in discussions about their health and safety.

Objective: The aim of this study was to test whether patients are better oriented to the day on the first working day following the weekend (in Israel-Sunday), compared with other weekdays, on the Mini-Mental Score Examination (MMSE).

Methods: All MMSE scores from November 2016 until December 2022 in our mental health center's computerized system were collected. The proportion of correct answers to orientation to the day was compared between weekdays.

Results: The cohort consisted of 2049 MMSEs taken by 1376 patients [average age 80.3 (SD=9.3), 56.4% female]. The difference between the proportion of correct and incorrect answers was statistically significant between the days, of which Sundays showed a larger difference (53.4%) compared with the other days (χ 2 =20.77, P <0.001, Cramer V =0.104). A statistically significant odds ratio (OR) for providing a correct response was found for Sundays (OR=1.55, P =0.001) and, to a lesser extent, on Thursdays (OR=1.29, P =0.01). The difference between Sundays and other weekdays disappears as the total MMSE decreases.

Conclusion: Day orientation on the MMSE may be better on the first day following the weekend, especially in early cognitive decline.

Clinical implications: The weekday in which the MMSE is performed may influence its results.

We examined whether there were differences in the presence of centrum semiovale-enlarged perivascular spaces (CSO-ePVS) and basal ganglia-ePVS (BG-ePVS) among patients with Alzheimer disease-related cognitive impairment (ADCI) based on their age of onset. Out of a total of 239 patients with cognitive impairment, 155 with positive amyloid-PET results were included. Among these, 43 had early-onset ADCI (EOADCI) and 112 had late-onset ADCI (LOADCI). Patients with LOADCI exhibited a higher prevalence of hypertension, lacunes, white matter hyperintensities, and BG-ePVS than those with EOADCI. BG-ePVS showed a significant correlation with age at the onset and the number of lacunes, whereas CSO-ePVS did not exhibit any association. The higher prevalence of BG-ePVS in patients with LOADCI might be attributable to vascular risk factors (hypertension) and cerebral small vessel disease (CSVD). These findings support the hypothesis that BG-ePVS is associated with CSVD and vascular risk factors, whereas CSO-ePVS is associated with cerebral amyloid angiopathy.

Purpose: Lucid episodes (LEs: unexpected episodes of spontaneous, meaningful, and relevant communication or behavior) in Alzheimer disease and related dementias are a new area of scientific inquiry that lacks clinical consensus and require more conceptual attention.

Methods: We aimed to measure consensus from an expert group on: (1) potential medical or clinical explanations for LEs; (2) necessary medical and clinical context to LEs; and (3) interpretation of LEs.

Patients: We convened 13 experts from different disciplines (neurology, psychiatry, psychology, pharmacy, palliative care, hospice, nursing, social work, primary care, geriatrics, and professional home caregivers) to identify elements of LEs.

Results: Experts provided a range of opinions on medical and clinical explanations and questions to understand LEs. Consensus on LEs when presented with clinical vignettes was not reached. Panelists highlighted key medical and contextual factors needed to make a definitive judgement about LEs.

Conclusion: There is variability in how LEs are interpreted by clinical experts, which complicates the identification of LEs in Alzheimer disease and related dementias.

Introduction: Early classification and prediction of Alzheimer disease (AD) and amnestic mild cognitive impairment (aMCI) with noninvasive approaches is a long-standing challenge. This challenge is further exacerbated by the sparsity of data needed for modeling. Deep learning methods offer a novel method to help address these challenging multiclass classification and prediction problems.

Methods: We analyzed 3 target feature-sets from the National Alzheimer Coordinating Center (NACC) dataset: (1) neuropsychological (cognitive) data; (2) patient health history data; and (3) the combination of both sets. We used a masked Transformer-encoder without further feature selection to classify the samples on cognitive status (no cognitive impairment, aMCI, AD)-dynamically ignoring unavailable features. We then fine-tuned the model to predict the participants' future diagnosis in 1 to 3 years. We analyzed the sensitivity of the model to input features via Feature Permutation Importance.

Results: We demonstrated (1) the masked Transformer-encoder was able to perform prediction with sparse input data; (2) high multiclass current cognitive status classification accuracy (87% control, 79% aMCI, 89% AD); (3) acceptable results for 1- to 3-year multiclass future cognitive status prediction (83% control, 77% aMCI, 91% AD).

Conclusion: The flexibility of our methods in handling inconsistent data provides a new venue for the analysis of cognitive status data.

Purpose: Individuals with behavioral-variant frontotemporal dementia (bvFTD) show changes in brain structure as assessed by MRI and brain function assessed by 18FDG-PET hypometabolism. However, current understanding of the spatial and temporal interplay between these measures remains limited.

Methods: Here, we examined longitudinal atrophy and hypometabolism relationships in 15 bvFTD subjects with 2 to 4 follow-up MRI and PET scans (56 visits total). Subject-specific slopes of atrophy and hypometabolism over time were extracted across brain regions and correlated with baseline measures both locally, via Pearson correlations, and nonlocally, via sparse canonical correlation analyses (SCCA).

Results: Notably, we identified a robust link between initial hypometabolism and subsequent cortical atrophy rate changes in bvFTD subjects. Network-level exploration unveiled alignment between baseline hypometabolism and ensuing atrophy rates in the dorsal attention, language, and default mode networks. SCCA identified 2 significant and highly localized components depicting the connection between baseline hypometabolism and atrophy slope over time. The first centered around bilateral orbitofrontal, frontopolar, and medial prefrontal lobes, whereas the second concentrated in the left temporal lobe and precuneus.

Conclusions: This study highlights 18FDG-PET as a dependable predictor of forthcoming atrophy in spatially adjacent brain regions for individuals with bvFTD.