Factors associated with care partner identification and education among hospitalized persons living with dementia.

Objective: Care partners of persons living with dementia (PLWD) often feel unprepared to care for their loved ones. Improving PLWD care partner identification and education during hospital stays can improve preparedness. This retrospective EHR study investigated PLWD characteristics that may relate to care partner identification, education, and teaching methods during hospital stays. Methods: Encounters from a Midwestern academic healthcare system were used. Patients were over 18, had a documented dementia diagnosis, were admitted to the hospital for at least 24 h, and had information documented in care partner or education data fields (N = 7982). Logistic regressions assessed patient's demographics, care partner identification and education. Chi-square tests compared education teaching methods and patient discharge location. Results: PLWD's who were unmarried, discharged to other care facilities, or received the diagnosis "degeneration of nervous system due to alcohol" were associated with lacking care partner identification. Care partners of unmarried PLWDs or those with the diagnosis "Alzheimer's disease, unspecified" received less education. Multiple teaching methods were associated with discharge location. Conclusion: Multiple characteristics were related to PLWD care partner identification and education differences during hospital stays. Innovation: Novel analyses highlight need for a protocol to systematically prepare dementia care partners.

Dementia in-patient units in psychiatric hospitals: research priority setting.

AIMS AND METHOD: Dementia in-patient units (DIU) are mental health wards that care for people living with dementia (PLWD) whose symptoms are causing severe distress or potential risk. DIUs look after some of the most vulnerable and unwell people in society, yet they are environments that are underresearched: a recent systematic review revealed only 36 articles worldwide relating to DIUs. To better understand research priorities in DIUs, we undertook a two-round online Delphi survey of PLWD with experience of DIUs, their carers and professionals who work in DIUs. RESULTS: Ten research priorities were described and ranked. The top three were how to use non-pharmacological techniques to manage non-cognitive symptoms of dementia, supporting families and better understanding of how to discharge PLWD safely and healthily. CLINICAL IMPLICATIONS: This is the first Delphi consensus to describe DIU research priorities. This paper will help researchers focus on the areas that matter most to people who use DIUs.

Medicare expenditures among spouses of persons with dementia.

BACKGROUND: Spouses of persons living with dementia face intense strains on their well-being compared with similarly aged adults and spouses of partners with no dementia. This strain can impact spouses' health and healthcare needs, and therefore affect their healthcare utilization and expenditures. METHODS: Using data from the Health and Retirement Study linked with Medicare claims, we matched dyads of spouses and their partners with dementia (SPWD) to a comparison group of similar spouses and their partners with no dementia (SPWND). We then examined Medicare expenditures for spouses in the 5 years following their partner's dementia onset month using a two-part regression model. RESULTS: SPWD cumulative total Medicare expenditures were, on average, $60,043 in the 5 years post dementia onset, compared to $56,068 for SPWND. This difference ($3974, 95% CI = [-$3,199; $11,477]) was not significant. However, there were significant differences in the 5th year's total expenditures (+$2,748 [$321; $5,447]), driven by inpatient expenditures ($1,562 [$22; $3,277]). CONCLUSIONS: Despite the differences in partner's dementia status, we found no significant difference in the 5-year cumulative Medicare expenditures between SPWD and SPWND. Compared to previous studies, we likely captured an earlier stage of dementia more consistently for a broader population which may be less straining on spouses. Further research should examine patterns of expenditures in later years and around critical timepoints in caregiving, such as partner transitions to formal long-term care settings and death, to better understand healthcare expenditures for spouses of persons living with dementia.

[Clinical and morphologic characterization of Pick's dementia: case report and review of the literature]. / Kliniko-morfologicheskaya kharakteristika dementsii Pika: opisanie nablyudeniya i obzor literatury.

Diseases morphologically characterized by frontotemporal lobar degeneration have relatively recently been considered as a group of frontotemporal dementias. This group is characterized by a tendency to early clinical onset of dementia, common genetic and morphological features, as well as a possible association with diseases such as amyotrophic lateral sclerosis and atypical parkinsonism syndrome. Historically, Pick's dementia (Pick's disease) was described as the first of the frontotemporal dementias, which is morphologically characterized by the presence of argyrophilic Pick's bodies represented by 3R-tau protein in the neurons of the cerebral cortex. Despite the characteristic clinical and morphological picture due to the relative rarity, the diagnosis of Pick's dementia is infrequently made by both clinicians and pathologists. The article presents current data on frontotemporal dementia. A case of Pick's dementia with characteristic clinical manifestations in the form of early onset of behavioral and personality disorders, as well as specific morphological changes in the brain, is described.

Loneliness and global cognitive functioning in racially and ethnically diverse US midlife and older adults.

Introduction: Few studies have examined the association of loneliness and cognitive functioning in the US. We used two common measures of loneliness and examined their association in a large sample of US Black, Latino, and White adults (ages ≥ 50). Methods: We analyzed Wave 3 of the National Social Life, Health, and Aging Project (N = 2,757). We examined loneliness using one item from the CES-D and the Felt Loneliness Measure (NFLM); cognitive functioning was assessed using the Montreal Cognitive Assessment (MoCA) tool, where higher scores indicated better functioning. We used weighted ordinary least squares regressions to examine the effects of loneliness (CES-D loneliness and NFLM in separate models) on MoCA scores. In exploratory analyses, we examined if these relationships varied by race and ethnicity. We adjusted all models for sociodemographic and other salient factors (e.g., chronic disease, depressive symptoms, living alone). Results: Mean age was 63.49 years, 52% were female, and 9% were Black and 6% Latino persons. Approximately 54% endorsed feeling lonely on at least one measure; 31% (CES-D) and 46% (NFLM). The relationship between loneliness measures was positive and significant, X 2 (1, N = 2,757) = 435.493 p < 0.001. However, only 40% of lonely individuals were identified as lonely on both assessments. CES-D loneliness was inversely (߈ = -0.274, p = 0.032) associated with MoCA scores and this association did not vary by race and ethnicity. Greater NFLM loneliness was positively associated (߈ = 0.445, p < 0.001) with higher MoCA scores for Latino participants only. Discussion: Loneliness appears to be an important predictor of cognitive functioning. However, the association of loneliness and cognitive functioning varied when using the CES-D loneliness item or the NFLM. Future work is needed to understand how loneliness and its clinically relevant dimensions (social, emotional, existential, chronicity) relate to global and individual cognitive domains. Research is needed with racially and ethnically diverse midlife and older adults, particularly to understand our counterintuitive finding for Latino participants. Finally, findings also support the need for research on interventions to prevent cognitive decline targeting loneliness.

Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study.

BACKGROUND: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes. OBJECTIVE: The study aims to use graph neural networks (GNNs) with claim data for ADRD risk prediction. Addressing the lack of human-interpretable reasons behind these predictions, we introduce an innovative, self-explainable method to evaluate relationship importance and its influence on ADRD risk prediction. METHODS: We used a variationally regularized encoder-decoder GNN (variational GNN [VGNN]) integrated with our proposed relation importance method for estimating ADRD likelihood. This self-explainable method can provide a feature-important explanation in the context of ADRD risk prediction, leveraging relational information within a graph. Three scenarios with 1-year, 2-year, and 3-year prediction windows were created to assess the model's efficiency, respectively. Random forest (RF) and light gradient boost machine (LGBM) were used as baselines. By using this method, we further clarify the key relationships for ADRD risk prediction. RESULTS: In scenario 1, the VGNN model showed area under the receiver operating characteristic (AUROC) scores of 0.7272 and 0.7480 for the small subset and the matched cohort data set. It outperforms RF and LGBM by 10.6% and 9.1%, respectively, on average. In scenario 2, it achieved AUROC scores of 0.7125 and 0.7281, surpassing the other models by 10.5% and 8.9%, respectively. Similarly, in scenario 3, AUROC scores of 0.7001 and 0.7187 were obtained, exceeding 10.1% and 8.5% than the baseline models, respectively. These results clearly demonstrate the significant superiority of the graph-based approach over the tree-based models (RF and LGBM) in predicting ADRD. Furthermore, the integration of the VGNN model and our relation importance interpretation could provide valuable insight into paired factors that may contribute to or delay ADRD progression. CONCLUSIONS: Using our innovative self-explainable method with claims data enhances ADRD risk prediction and provides insights into the impact of interconnected medical code relationships. This methodology not only enables ADRD risk modeling but also shows potential for other image analysis predictions using claims data.

Psychological distress among family caregivers of persons with Alzheimer's disease and related dementias in Uganda.

BACKGROUND: Alzheimer's disease and related dementias (ADRD) present growing global health challenges, especially in aging populations, such as Uganda. In Uganda, familial caregiving, predominantly undertaken by female relatives, is the primary form of support provided to patients with ADRD. Cultural stigma around dementia and limited access to support services amplify caregivers' challenges. This study examined psychological distress, depression, and quality of life (QoL) among family caregivers of patients with ADRD in Wakiso District, Uganda. METHODS: This cross-sectional study involved 90 caregivers from three sub-counties in Wakiso, selected through purposive sampling to capture diverse experiences. Participants included caregivers aged 18 years and older who were knowledgeable and had cared for a person with ADRD for not less than six months, with those providing more than 70% of physical care being prioritised. Data were collected using the Kessler Psychological Distress Scale, the Caregiver Dementia Quality of Life Measurement Scale, and the Center for Epidemiologic Studies Depression Scale, with an 80% response rate achieved through local collaboration. The statistical analyses focused on psychological distress, QoL, and depression. RESULTS: The study included 82.2% females and 17.8% males, with a median age of 52 years for females and 35 years, respectively. Females were more likely to be single or widowed, whereas males were more likely to be married. The study revealed a high prevalence of psychological distress and depression among caregivers (64.4%) regardless of sex. The analysis indicated that having children was a significant predictor of better QoL (OR 3.04, 95% CI 1.79-5.66, p = 0.034) and a lower risk of depression (OR 0.10, 95% CI 0.01-0.86, p = 0.036). No other sociodemographic factors were significantly associated with health outcomes across the models. CONCLUSION: Our findings revealed a heavy burden of psychological distress and depression among Ugandan caregivers of patients with ADRD, highlighting the need for structured support systems, including mental health services and gender-responsive interventions in low-resource settings.

Implementation and evaluation of a community-based mindful walking randomized controlled trial to sustain cognitive health in older African Americans at risk for dementia.

BACKGROUND: With an increasing proportion of older adults and the associated risk of Alzheimer's Disease and Related Dementias (ADRD) around the globe, there is an urgent need to engage in ADRD risk reduction efforts. African American (AA) older adults in the U.S. are disproportionally impacted by ADRD compared to other races and ethnicities. Mindful walking integrates two potentially protective factors of ADRD by elevating mindfulness and physical activity (i.e., walking), resulting in a synergistic behavioral strategy that is feasible and safe for older adults. However, the efficacy of applying this intervention for cognitive health outcomes has not been evaluated using experimental designs. METHODS: This paper documents the goal and protocol of a community-based, mindful walking randomized controlled trial to examine the short- and longer-term efficacy on cognitive and other health-related outcomes in ADRD at-risk AA older adults. The study outcomes include various brain health determinants, including cognitive function, quality of life, psychological well-being, physical activity, mindfulness, sleep, and overall health status. In addition, the estimated costs of program implementation are also collected throughout the study period. This study will recruit 114 older adults (ages 60+ years) with elevated ADRD risk from the Midlands region of South Carolina. Older adults are randomly assigned to participate in 24 sessions of outdoor mindful walking over three months or a delayed mindful walking group (n=57 in each group). Participants in both groups follow identical measurement protocols at baseline, after 12 weeks, after 18 weeks, and after 24 weeks from baseline. The outcome measures are administered in the lab and in everyday settings. Costs per participant are calculated using micro-costing methods. The eliciting participant costs for mindful walking engagement with expected results are reported using the payer and the societal perspectives. DISCUSSION: This study will generate evidence regarding the efficacy of mindful walking on sustaining cognitive health in vulnerable older adults. The results can inform future large-scale effectiveness trials to support our study findings. If successful, this mindful walking program can be scaled up as a low-cost and viable lifestyle strategy to promote healthy cognitive aging in diverse older adult populations, including those at greatest risk. TRIAL REGISTRATION: ClinicalTrials.gov number NCT06085196 (retrospectively registered on 10/08/2023).

National Institute on Aging's 50th anniversary: Advancing cognitive aging research and the cognitive health of older adults.

In celebration of the National Institute on Aging's (NIA) 50th anniversary, this paper highlights the significant advances in cognitive aging research and the promotion of cognitive health among older adults. Since its inception in 1974, the NIA has played a pivotal role in understanding cognitive aging, including cognitive epidemiology, interventions, and methods for measuring cognitive change. Key milestones include the shift towards understanding cognitive impairment and Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD), the development of large-scale longitudinal studies, and the incorporation of AD/ADRD-related biomarkers in cognitive aging cohorts. Additionally, NIA has championed diversifying the scientific workforce through initiatives, such as the Resource Centers for Minority Aging Research and the Butler-Williams Scholars Program. The next 50 years will continue to emphasize the importance of inclusion, innovation, and impactful research to enhance the cognitive health and well-being of older adults.

Medication Management Difficulty, Medication Nonadherence, and Risk of Hospitalization Among Cognitively Impaired Older Americans: A Nationally Representative Study.

Effective disease management in older adults relies on medication adherence to prevent adverse outcomes like hospitalization, particularly among those with cognitive impairment. In this study, we examined the impact of cognitive impairment on medication management, adherence, and hospitalization risk across levels of cognitive function. Analyzing data from 28,558 community-dwelling older adults, we found that those with dementia had the most difficulty managing medications (13.12%), followed by cognitive impairment without dementia (5.80%), and intact cognition (1.96%). Only persons with dementia showed a significant association between medication management difficulty and hospitalization risk (Odds Ratio [OR] = 1.71; 95% Confidence Intervals: 1.08, 2.70; p = .02). Cost-related medication nonadherence was associated with hospitalization risk solely among those with intact cognition (OR = 1.25; 95% CI: 1.07, 1.45; p = .004). Dementia was associated with higher odds of medication management difficulty and subsequently hospitalization risk, underscoring the need for resources to support medication use for this population.

Medicare Payments and ACOs for Dementia Patients Across Race and Social Vulnerability.

OBJECTIVES: This study investigated variations in Medicare payments for Alzheimer's disease and related dementia (ADRD) by race, ethnicity, and neighborhood social vulnerability, together with cost variations by beneficiaries' enrollment in Accountable Care Organizations (ACOs). METHODS: We used merged datasets of longitudinal Medicare Beneficiary Summary File (2016-2020), the Social Vulnerability Index (SVI), and the Medicare Shared Savings Program (MSSP) ACO to measure beneficiary-level ACO enrollment at the diagnosis year of ADRD. We analyzed Medicare payments for patients newly diagnosed with ADRD for the year preceding the diagnosis and for the subsequent 3 years. The dataset included 742,175 Medicare fee-for-service (FFS) beneficiaries aged 65 and older with a new diagnosis of ADRD in 2017 who remained in the Medicare FFS plan from 2016 to 2020. RESULTS: Among those newly diagnosed, Black and Hispanic patients encountered higher total costs compared to White patients, and ADRD patients living in the most vulnerable areas experienced the highest total costs compared to patients living in other regions. These cost differences persisted over 3 years postdiagnosis. Patients enrolled in ACOs incurred lower costs across all racial and ethnic groups and SVI areas. For ADRD patients living in the areas with the highest vulnerability, the cost differences by ACO enrollment of the total Medicare costs ranged from $4,403.1 to $6,922.7, and beneficiaries' savings ranged from $114.5 to $726.6 over three years post-ADRD diagnosis by patient's race and ethnicity. CONCLUSIONS: Black and Hispanic ADRD patients and ADRD patients living in areas with higher social vulnerability would gain more from ACO enrollment compared to their counterparts.

Transitional care of people with dementia and caregivers in the ADRD-PC trial: A mixed methods study.

CONTEXT: People with late-stage Alzheimer's diseases and related dementias (ADRD) have high risk for post-acute complications and readmission; however, minimal research describes hospital transitional care. OBJECTIVE: Within the context of the ongoing ADRD-PC clinical trial, the purpose of this study was to describe the content and quality of transitional care of people with ADRD. METHODS: Descriptive mixed methods using data from a retrospective chart review and interviews with palliative care social workers and a nurse providing transitional care in the ADRD-PC clinical trial. RESULTS: Of 40 dyads of people with late-stage ADRD and their caregivers, palliative care plans were documented for 29 patients (73%); completed post-discharge calls in 72 hours were made for 39 (98%) caregivers and calls in 2 weeks were made for 33 (78%). The content of post-discharge care was promoting continuity, identifying resources, helping caregivers feel heard, troubleshooting problems, and providing grief support. Challenges during transitional care were limited time to engage caregivers in hospital-based palliative care, educate caregivers about palliative care plans, coordinate care after transfers to long term care, and the scarcity of community ADRD resources. Facilitators of high quality transitional care were continuity of staff who saw the patient or caregiver across hospital and post-acute contacts, caregiver understanding of goals of care, written palliative care plans, and resources for post-discharge care. CONCLUSION: Findings indicate high quality dementia-specific transitional care occurs when staff have resources, such as ADRD training and care planning template, to pull the hospital palliative care plan forward into the post-discharge destination, help families fit the plan to new circumstances, and manage strain and grief related to changes in health and function.

A systematic review of cognitive and behavioral tools to differentiate behavioral variant frontotemporal dementia from other conditions.

The behavioral variant of frontotemporal dementia (bvFTD) is thought to be the commonest clinical presentation of frontotemporal lobar degeneration and is predominantly characterized by changes in behavior. In patients lacking unequivocal biomarker evidence of frontotemporal neurodegeneration, the clinical diagnosis of bvFTD is often unstable. In response, we conducted a systematic review and critical appraisal of cognitive and behavioral tools that have sought to differentiate bvFTD from other conditions. A systematic literature review of PubMed, Scopus, and Web of Science was conducted on December 31, 2023 for cognitive and behavioral tools that differentiated bvFTD from other cohorts. Ninety-six studies were included. The quality appraisal of almost all studies was low and introduced a high risk of bias. The few studies that were of high quality had a prospective study design and recruited patients suspected (but not yet confirmed) to have bvFTD. These studies reported that behavioral tools (e.g., the Frontal Behavioral Inventory) and social cognition tests (e.g., the Ekman's Faces Test) had good test performance in differentiating bvFTD from a broad range of psychiatric and neurological conditions. Importantly, the review highlighted the extreme paucity of studies that have evaluated methods where, in Bayesian terms, there is genuine clinical uncertainty regarding a diagnosis of bvFTD. Most studies used healthy controls of typical Alzheimer's disease as comparators-groups that often have negligible pretest probability of bvFTD. In response, we propose a study design checklist for studies seeking to develop diagnostic algorithms in bvFTD research.

Care Partner Perspectives on the Use of a Patient Portal Intervention to Promote Care Partner Identification in Dementia Care.

Care partners are crucial to supporting the complex health needs of older adults with dementia, but they are not systematically identified in care delivery. As part of a real-world implementation project in geriatric primary care, we adapted a portal-based agenda setting intervention, OurNotes, by incorporating items to help care partners self-identify. Semi-structured interviews were conducted with care partners (N = 15) who completed the adapted OurNotes to explore their perceptions of the tool (usability, benefits, and challenges) and recommendations for refinement. The data were analyzed using thematic analysis. Benefits included enhancing care partners' preparedness for the visit and opening a direct channel to express concerns about patients' cognition and memory loss to clinicians. Challenges pertained to clinician responsiveness; recommendations focused on enabling the submitted OurNotes responses to be edited and updated by multiple care partners. Such refinements may help to maximize the impact of adapted OurNotes' and potential for future implementation and dissemination.

Patterns of national emergency department utilization by fee-for-service Medicare beneficiaries with dementia.

BACKGROUND: Individuals with Alzheimer's disease and related dementias (ADRD) often face high acute care clinical utilization and costs with unclear benefits in survival or quality of life. The emergency department (ED) is frequently the site of pivotal decisions in these acute care episodes. This study uses national Medicare data to explore this population's ED utilization. METHODS: Retrospective cohort study of persons aged ≥66 years enrolled in traditional Medicare with a Chronic Condition Warehouse diagnosis of dementia. Primary 1-year outcome measures included ED visits with and without hospitalization, ED visits per 100 days alive, and health-care costs. A multivariate random effects regression model (clustered by county of residence), adjusted for sociodemographics and comorbidities, examined how place of care on January 1, 2018, was associated with subsequent ED utilization. RESULTS: In 2018, 2,680,006 ADRD traditional Medicare patients (mean age 82.9, 64.2% female, 9.4% Black, 6.2% Hispanic) experienced a total of 3,234,767 ED visits. Over half (52.2%) of the cohort experienced one ED visit, 15.5% experienced three or more, and 37.1% of ED visits resulted in hospitalization. Compared with ADRD patients residing at home without services, the marginal difference in ED visits per 100 days alive varied by location of care. Highest differences were observed for those with hospitalizations (0.48 visits per 100 days alive, 95% confidence interval [CI] 0.47-0.49), skilled nursing facility (rehab/skilled nursing facility [SNF]) stays (0.27, 95% CI 0.27-0.28), home health stays (0.25, 95% CI 0.25-0.26), or observation stays (0.82, 95% CI 0.77-0.87). Similar patterns were observed with ED use without hospitalization and health-care costs. CONCLUSIONS: Persons with ADRD frequently use the ED-particularly those with recent hospitalizations, rehab/SNF stays, or home health use-and may benefit from targeted interventions during or before the ED encounters to reduce avoidable utilization and ensure goal-concordant care.

SIMOA Diagnostics on Alzheimer's Disease and Frontotemporal Dementia.

BACKGROUND: Accurate diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) represents a health issue due to the absence of disease traits. We assessed the performance of a SIMOA panel in cerebrospinal fluid (CSF) from 43 AD and 33 FTD patients with 60 matching Control subjects in combination with demographic-clinical characteristics. METHODS: 136 subjects (AD: n = 43, FTD: n = 33, Controls: n = 60) participated. Single-molecule array (SIMOA), glial fibrillary acidic protein (GFAP), neurofilament light (NfL), TAU, and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) in CSF were analyzed with a multiplex neuro 4plex kit. Receiver operating characteristic (ROC) curve analysis compared area under the curve (AUC), while the principal of the sparse partial least squares discriminant analysis (sPLS-DA) was used with the intent to strengthen the identification of confident disease clusters. RESULTS: CSF exhibited increased levels of all SIMOA biomarkers in AD compared to Controls (AUCs: 0.71, 0.86, 0.92, and 0.94, respectively). Similar patterns were observed in FTD with NfL, TAU, and UCH-L1 (AUCs: 0.85, 0.72, and 0.91). sPLS-DA revealed two components explaining 19% and 9% of dataset variation. CONCLUSIONS: CSF data provide high diagnostic accuracy among AD, FTD, and Control discrimination. Subgroups of demographic-clinical characteristics and biomarker concentration highlighted the potential of combining different kinds of data for successful and more efficient cohort clustering.

"It's a Postcode Lottery": How Do People Affected by Dementia in Wales Experience Their Diagnosis and Post-Diagnostic Support, and How May These Be Improved?

National dementia strategies are government policies that guide the provision of appropriate support for people living with dementia. These strategies, developed through extensive stakeholder engagement, should be tailored to the cultural and demographic needs of a country. Using a mixed methods survey design, this study explored the aims of the Dementia Action Plan (2018-2022) for Wales (UK) around assessment, diagnosis, and post-diagnostic support, and assessed whether these are being realized. Further, it sought to gain insight from people living with dementia and their carers around how the experience may be improved for others in the future, as the development of the next iteration of the Action Plan is anticipated. Respondents included 71 people, affected by typical and rarer types of dementia, living in both rural and urban areas. Findings suggest both positive and negative experiences, reflecting a 'postcode lottery' of service provision. Attainable recommendations for improvement were made by respondents, which would ultimately likely be cost-effective and reduce strain on formal services. The findings reported in this paper concur with those reported by people living with dementia in other countries, indicating their relevance for policymakers beyond Wales.

Phytoactive drugs used in the treatment of Alzheimer's disease and dementia.

The prevalence of Alzheimer's disease and other forms of dementia is increasing worldwide, and finding effective treatments for these conditions is a major public health challenge. Natural bioactive drugs have been identified as a promising source of potential treatments, due to their ability to target multiple pathways and their low toxicity. This paper reviews the current state of research on natural bioactive drugs used in the treatment of Alzheimer's disease and other dementias. The paper summarizes the findings of studies on various natural compounds, including curcumin, resveratrol, caffeine, genistein, quercetin, GinkoBiloba, Withaniasomnifera, Ginseng Brahmi, Giloy, and huperzine, and their effects on cognitive function, neuroinflammation, and amyloid-beta accumulation. In this review, we discuss the mechanism of action involved in the treatment of Alzheimer's disease. The paper also discusses the challenges associated with developing natural bioactive drugs for dementia treatment, including issues related to bioavailability and standardization. Finally, the paper suggests directions for future research in this area, including the need for more rigorous clinical trials and the development of novel delivery systems to improve the efficacy of natural bioactive drugs. Overall, this review highlights the potential of natural bioactive drugs as a promising avenue for the development of safe and effective treatments for Alzheimer's disease and other dementias.

Mental Health Treatment Among Nursing Home Residents With Alzheimer's Disease and Related Dementias.

OBJECTIVES: To examine the prevalence of mental health treatment among nursing home (NH) long-stay residents with Alzheimer's disease and related dementias (ADRD) and explore factors associated with utilization. DESIGN: Retrospective cohort study. Minimum Data Set data (April 2017-September 2018), Medicare Master Beneficiary Summary File, Part B Carrier file and Part D prescription file were used to identify mental illness and ADRD diagnoses, patient characteristics, and mental health treatment. SETTING AND PARTICIPANTS: All US Medicare- or Medicaid-certified NHs. Fee-for-service Medicare beneficiaries aged 65 and older who had a quarterly or annual Minimum Data Set assessment with ADRD and were enrolled in Medicare Parts B and D. Two cohorts: residents with both ADRD and psychiatric disorders; residents with ADRD only. METHODS: Primary outcomes: receipt of (1) any mental health treatment (medication or psychotherapy); (2) any psychotherapy in a calendar quarter. SECONDARY OUTCOMES: antipsychotics, antidepressants, hypnotics, antiepileptics, short-session ( ≤ 30 minutes), long-session ( ≥ 45 minutes), and family/group psychotherapy. Covariates included predisposing, enabling characteristics, and needs factors. Generalized Estimating Equation models of quarterly data, nested within patients, were estimated for each outcome among each cohort. RESULTS: Analyses included 1,913,945 resident-quarter observations from 503,077 unique NH long-stay residents. Overall, 68.5% of NH long-stay residents with ADRD have psychiatric disorders; of these, 85% received mental health treatment. African American or Hispanic residents were less likely to use antidepressants. African American residents or residents living in rural locations were less likely to receive long-session psychotherapy. Hispanic residents were more likely to receive long-session psychotherapy. Residents in minority groups were more likely to receive group/family psychotherapy. CONCLUSIONS AND IMPLICATIONS: Most of NH long-stay residents with ADRD had psychiatric disorders and most of them received treatment. Antidepressants or long-session psychotherapy were less likely to be provided to African American residents. Factors that determine the efficacy of mental health treatment and reasons for the racial disparities require further exploration.

Comparing traditional and causal inference methodologies for evaluating impacts of long-term air pollution exposure on hospitalization with Alzheimer's disease and related dementias.

Alzheimer's disease and related dementias (ADRD) present a growing public health burden in the United States. One actionable risk factor for ADRD is air pollution: multiple studies have found associations between air pollution and exacerbation of ADRD. Our study builds on previous studies by applying modern statistical causal inference methodologies-generalized propensity score (GPS) weighting and matching-on a large, longitudinal dataset. We follow 50 million Medicare enrollees to investigate impacts of three air pollutants-fine particular matter (PM${}_{2.5}$), nitrogen dioxide (NO${}_2$), and summer ozone (O${}_3$)-on elderly patients' rate of first hospitalization with ADRD diagnosis. Similar to previous studies using traditional statistical models, our results found increased hospitalization risks due to increased PM${}_{2.5}$ and NO${}_2$ exposure, with less conclusive results for O${}_3$. In particular, our GPS weighting analysis finds IQR increases in PM${}_{2.5}$, NO${}_2$, or O${}_3$ exposure results in hazard ratios of 1.108 (95% CI: 1.097-1.119), 1.058 (1.049-1.067), or 1.045 (1.036-1.054), respectively. GPS matching results are similar for PM${}_{2.5}$ and NO${}_2$ with attenuated effects for O${}_3$. Our results strengthen arguments that long-term PM${}_{2.5}$ and NO${}_2$ exposure increases risk of hospitalization with ADRD diagnosis. Additionally, we highlight strengths and limitations of causal inference methodologies in observational studies with continuous treatments. Keywords: Alzheimer's disease and related dementias, air pollution, Medicare, causal inference, generalized propensity score.