Identification of older adults with Alzheimer's and related dementias among patients newly diagnosed with cancer: A comparison of methodological approaches.

INTRODUCTION: Research efforts to characterize and evaluate care delivery and outcomes for older adults with cancer and comorbid dementia are limited by varied methods used to classify Alzheimer's disease and related dementias (ADRD). The purpose of this study is to evaluate differences in demographic, clinical, and cancer characteristics of people newly diagnosed with cancer and concomitant dementia comparing two common methods to identify ADRD using administrative claims data. MATERIALS AND METHODS: We conducted a retrospective cohort study using Surveillance, Epidemiology, and End Results (SEER)-Medicare data. Our sample included adults aged 66 years and older with a first primary diagnosis of lung or colorectal cancer between 2011 and 2017. For each cancer diagnosis, we constructed analytical cohorts using the Center for Medicare and Medicaid Services' Chronic Condition Warehouse (CCW) flag and the Bynum-Standard one- and three-year algorithms to capture diagnosed ADRD. We estimated ADRD prevalence using the algorithms and compared Bynum and CCW cohorts on demographic, clinical, and cancer characteristics at cancer diagnosis and survival for lung and colorectal cancer separately. RESULTS: Among older adults with lung cancer, ADRD prevalence was 4.7% with the one-year Bynum, 6.5% with the three-year Bynum, and 12.5% using the CCW flag. In the colorectal cohort, ADRD prevalence was 5.6% with the one-year Bynum, 7.6% with the three-year Bynum, and 14.1% with the CCW flag. Demographic characteristics were similar across ADRD cohorts. The Bynum cohorts identified higher proportions of individuals with moderate to severe dementia (13.8% and 11.2% versus 7.1% CCW in lung cancer; 13.1% and 10.6% versus 6.8% CCW in colorectal cancer), higher frailty rates (27.4% and 22.7% versus 15.0% CCW in lung cancer; 26.4% and 22.3% versus 14.8% CCW in colorectal cancer). Median survival was lower for the Bynum cohorts compared to the CCW, regardless of cancer type. DISCUSSION: Findings demonstrate that ADRD prevalence and certain clinical characteristics vary based on dementia ascertainment method and observation period used to classify individuals with ADRD. Considering differences in the cohorts of registry cases generated by the identification method used is essential when interpreting findings related to treatment, utilization, and outcomes within and across cancer cohorts.

Increasing research study engagement in minoritized populations: An example from the Black Women Inflammation and Tau Study.

Black women are sorely underrepresented in studies of Alzheimer's disease and related dementias (ADRD) despite higher rates of ADRD diagnoses than in non-Hispanic White women. There are many reasons for underrepresentation, including medical mistrust, limited access to clinical studies, and restrictive study inclusion criteria. These pervasive barriers to research participation are often not considered during study development and, if eventually thought of tend to be after the fact. Community-engaged research (CER) approaches are an effective method for reducing participation barriers. This article describes how CER approaches were used to develop the Black Women Inflammation and Tau Study (BWITS), a prospective study to identify biopsychosocial risk factors for ADRD in Black women. Guidelines discussed here for future ADRD research in diverse populations are informed by Community-Based Participatory Research (CBPR), the National Institute on Minority Health and Health Disparities (NIMHD), and the Patient-Centered Outcomes Research Institute (PCORI). HIGHLIGHTS: Understand the historical tragedies related to medical practices and research designs that may contribute to the underrepresentation of Black Americans in research studies today. Highlight community-engaged research approaches that effectively reduce participation barriers in minoritized groups. Review Community-Based Participatory Research, National Institute of Minority Health and Health Disparities, and the Patient-Centered Outcomes Research Institute guidelines for conducting research with minoritized communities. Describe using the three frameworks to inform the study development protocol for the Black Women Inflammation and Tau Study. Conclude by offering study design considerations that we hope can be a helpful starting point for others conducting research with minoritized communities.

Cognitive function in Vietnam: the effects of war exposure and social engagement.

OBJECTIVE: Vietnam is an LMIC in Asia that is experiencing rising cases of Alzheimer's disease and related dementias (ADRD). Many Vietnamese adults at risk of ADRD have experienced early-life war exposures, which may have negative impacts on their cognitive function in later years. METHODS: Our study uses the Vietnam Health and Aging Study (VHAS) to investigate the impact of early-life war exposure on cognitive function in later life while also considering variations in social engagement. The sample consists of 2352 adults aged 60 and older from northern and central Vietnam. Cognitive function, measured by questions from the Mini Mental State Examination (MMSE), and self-rated memory are our dependent variables and five measures related to social engagement serve as independent variables. RESULTS: Our results show an association between PTSD symptoms and poorer cognitive function (0.0704, p < 0.05) and self-rated memory (OR = 0.904, p < 0.001; 95%). Similar results are also found among for individuals with lower level of social engagement. Furthermore, several sociodemographic factors exhibit attenuated effects on cognitive function due to variations in social engagement. CONCLUSION: Social engagement is generally beneficial for cognitive health amongst those with early-life war exposure, but it does not necessarily attenuate the effects of trauma.

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.

Disparities in COVID-19-Related Mortality Among Older Adults With Alzheimer's Disease and Related Dementias: Variations Over Time.

Older adults with Alzheimer's disease and related dementias (ADRD) had a high risk of COVID-19-related mortality. Racial and ethnic minorities were disproportionally impacted by the pandemic. The variations in disparities, including racial and ethnic disparities and disparities across communities, in COVID-19-related mortality across the different stages of the COVID-19 pandemic among the ADRD population are unknown. This observational study estimated linear probability models for community-dwelling older adults with ADRD who were diagnosed with COVID-19 in 2020 and 2021 using multiple national data (e.g., Medicare data), accounting for individual and community characteristics. Disparities in 30-day mortality were compared between 2020 and 2021. The socioeconomic disparity in COVID-19-related mortality across communities became insignificant during the later stage of the pandemic, ethnic differences in COVID-19-related mortality decreased but persisted, and racial disparity remained largely unchanged. The study provides insights into interventions to mitigate lingering disparities in health outcomes among the vulnerable population.

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.

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.

Adapted MoCA for Use among Arabic-Speaking Immigrants in the United States.

OBJECTIVE: Neuropsychological assessment among U.S. Arabic-speaking older adults is virtually non-existent due to lack of translated measures and normative data, as well as researchers' limited access to Middle Eastern/Arab Americans. The Montreal Cognitive Assessment (MoCA) is the only validated, widely-used dementia screen with Arabic language norms/cutoffs, yet, Arabic MoCA translations vary across countries and studies. We examined utility of a modified translation among Arabic-speaking immigrants in metro-Detroit. METHODS: The Arabic MoCA was modified to reflect consistency with the original English version while remaining meaningful in the Arabic language. The MoCA was then administered to 32 Arabic-speaking adults age 65 + living in metro-Detroit. Eight (25%) had an Alzheimer's disease or related dementia (ADRD) diagnosis. Each item was standardized and Cronbach's alpha assessed reliability. Ordinary least squares models examined whether an ADRD diagnosis predicts the total MoCA score and each item, adjusting for demographics. RESULTS: The mean age of the sample was 73 years old. The alpha was acceptably high at 0.87. Bivariate analyses show those with ADRD diagnosis scored lower overall on the MoCA. However, probability of diagnosis and age were confounded in the sample such that in multivariate analyses ADRD diagnosis did not explain additional variation beyond what is explained by age. Orientation, cube-copy test and serial 7s best distinguished those with ADRD. CONCLUSION: The modified Arabic language MoCA shows promise distinguishing those with an ADRD diagnosis. This translation provides a resource for neuropsychologists looking for translated tests when working with Arabic-speaking patients in the U.S.

Unraveling the Threads: Sleep Difficulties, Neighborhood Physical Disorder, and Subjective Cognitive Decline in Older Americans.

Background: Research suggests that the neighborhood in which people live can be a risk or protective factor for various health outcomes, including cognitive decline to Alzheimer's disease. Similar to the impact of neighborhood on health outcomes, sleep difficulties have been linked to cognitive function in older adults. However, few studies have examined how neighborhood physical disorders moderate the effects of sleep on subjective cognitive decline (SCD). Objective: The study examined the moderating effect of neighborhood factors on the relationship between sleep difficulties and SCD. Methods: Data were obtained from 2,494 respondents (1,065 males and 1,429 females) from Wave 11 of the National Health and Aging Trends (NHATS) data. Sleep difficulties were operationalized as the presence of difficulties in falling and staying asleep. Neighborhood physical disorder (e.g., vandalism, graffiti) was based on interviewer observations of respondents' neighborhoods. SCD was operationalized as subjective reports of increasing or worse memory loss in the past 12 months and present memory rating. We utilized Linear regression to test neighborhood physical disorder as a moderator of the relationship between sleep difficulties and SCD. Results: We found a significant interaction between sleep difficulties and neighborhood physical disorder on SCD (ß=0.046, p = 0.031, 95% CI[0.00,0.51], p < 0.001). Participants who reported higher average sleep difficulties and higher levels of neighborhood physical disorder were more likely to report SCD. Conclusions: Our findings add to inform future health interventions and policy recommendations that address modifiable sources of cognitive decline and risk of Alzheimer's disease.

Comparing Unmet Service Needs Between Rural and Urban Family Caregivers of People Living With Alzheimer's Disease and Related Dementias: A Multisite Study.

BACKGROUND AND OBJECTIVES: The scarcity of resources and available caregiving services in rural areas in the United States has been well documented. However, less research has compared unmet service needs between caregivers of people with Alzheimer's disease and related dementias (ADRD) in rural versus urban areas. RESEARCH DESIGN AND METHODS: Using semistructured interviews guided by theories of health service use and dependent care, we interviewed 20 family caregivers residing in rural areas of Western North Carolina and 18 caregivers within the urban setting of Houston, Texas, and compared their unmet service needs and contextual factors that facilitate their service use. RESULTS: Thematic analyses revealed similar unmet service needs among rural and urban caregivers; however, the ways they approached and solved their challenges differed. Caregivers in rural areas wished for more information and caregiver support whereas urban caregivers looked for information they needed until they found the answers. Rural caregivers expressed guilt about using services because they felt they were limited and zero-sum whereas urban caregivers shared available resources so that other caregivers could use them as well. Unmet service needs for urban caregivers included more racially and ethnically specific services for people with ADRD in their ethnic-specific languages and foods while rural caregivers' cultural needs were not racially and ethnically specific but for more place-specific services. DISCUSSION AND IMPLICATIONS: Recommendations for rural caregivers included utilizing online and virtual opportunities and expanding their reach across the United States. For urban caregivers, increasing culturally tailored service options would likely increase access and use.

Connecting the Dots: Gender, Sexuality, and Societal Influences on Cognitive Aging and Alzheimer's Disease.

Alzheimer's disease (AD) has many etiologies and the impact of gender on AD changes throughout time. As a consequence of advancements in precision medical procedures and methodology, Alzheimer's disease is now better understood and treated. Several risk factors may be addressed to lower one's chances of developing Alzheimer's disease or associated dementia (ADRD). The presence of amyloid-α protein senile plaques, intracellular tau protein neurofibrillary tangles (NfTs), neurodegeneration, and neuropsychiatric symptoms (NPS) characterizes Alzheimer's disease. NPS is common in persons with Alzheimer's disease dementia, although its presentation varies widely. Gender differences might explain this clinical variability. The fundamental goal of this review research is to 1) emphasize the function of old age, sex, and gender in the development of Alzheimer's disease, dementia, and ADRD, and 2) explain the importance of sexual hormones, education, and APOE (Apolipoprotein E) status. This is a narrative summary of new ideas and concepts on the differences in the chance of developing dementia or Alzheimer's disease between men and women. A more thorough examination of risk and protective variables in both men and women might hasten research into the epidemiology of neurological illnesses such as dementia and Alzheimer's disease. Similarly, future preventive efforts should target men and women separately.

ACH2.0/E, the Consolidated Theory of Conventional and Unconventional Alzheimer's Disease: Origins, Progression, and Therapeutic Strategies.

The centrality of amyloid-beta (Aß) is an indisputable tenet of Alzheimer's disease (AD). It was initially indicated by the detection (1991) of a mutation within Aß protein precursor (AßPP) segregating with the disease, which served as a basis for the long-standing Amyloid Cascade Hypothesis (ACH) theory of AD. In the intervening three decades, this notion was affirmed and substantiated by the discovery of numerous AD-causing and AD-protective mutations with all, without an exception, affecting the structure, production, and intraneuronal degradation of Aß. The ACH postulated that the disease is caused and driven by extracellular Aß. When it became clear that this is not the case, and the ACH was largely discredited, a new theory of AD, dubbed ACH2.0 to re-emphasize the centrality of Aß, was formulated. In the ACH2.0, AD is caused by physiologically accumulated intraneuronal Aß (iAß) derived from AßPP. Upon reaching the critical threshold, it triggers activation of the autonomous AßPP-independent iAß generation pathway; its output is retained intraneuronally and drives the AD pathology. The bridge between iAß derived from AßPP and that generated independently of AßPP is the neuronal integrated stress response (ISR) elicited by the former. The ISR severely suppresses cellular protein synthesis; concurrently, it activates the production of a small subset of proteins, which apparently includes components necessary for operation of the AßPP-independent iAß generation pathway that are absent under regular circumstances. The above sequence of events defines "conventional" AD, which is both caused and driven by differentially derived iAß. Since the ISR can be elicited by a multitude of stressors, the logic of the ACH2.0 mandates that another class of AD, referred to as "unconventional", has to occur. Unconventional AD is defined as a disease where a stressor distinct from AßPP-derived iAß elicits the neuronal ISR. Thus, the essence of both, conventional and unconventional, forms of AD is one and the same, namely autonomous, self-sustainable, AßPP-independent production of iAß. What distinguishes them is the manner of activation of this pathway, i.e., the mode of causation of the disease. In unconventional AD, processes occurring at locations as distant from and seemingly as unrelated to the brain as, say, the knee can potentially trigger the disease. The present study asserts that these processes include traumatic brain injury (TBI), chronic traumatic encephalopathy, viral and bacterial infections, and a wide array of inflammatory conditions. It considers the pathways which are common to all these occurrences and culminate in the elicitation of the neuronal ISR, analyzes the dynamics of conventional versus unconventional AD, shows how the former can morph into the latter, explains how a single TBI can hasten the occurrence of AD and why it takes multiple TBIs to trigger the disease, and proposes the appropriate therapeutic strategies. It posits that yet another class of unconventional AD may occur where the autonomous AßPP-independent iAß production pathway is initiated by an ISR-unrelated activator, and consolidates the above notions in a theory of AD, designated ACH2.0/E (for expanded ACH2.0), which incorporates the ACH2.0 as its special case and retains the centrality of iAß produced independently of AßPP as the driving agent of the disease.

Dignity in people with dementia: A concept analysis.

Background: Dignity, an abstract and complex concept, is an essential part of humanity and an underlying guiding principle in healthcare. Previous literature indicates dignity is compromised in people with dementia (PwD), but those PwD maintain the capacity to live with dignity with appropriate external support. Alzheimer's disease and related dementias (ADRDs) lead to progressive functional decline and increased vulnerability and dependence, leading to heightened risks of PwD receiving inappropriate or insufficient care that diminishes dignity. Considering the increased disease prevalence and the continuously escalating costs of dementia care, establishing a productive value-based guideline may prevent suffering, maximize dignity, and thus promote quality of life (QoL).Aim: The goal of this project is to identify actionable targets for integrating dignity harmoniously and practically into care planning and management for PwD.Research Design: We conducted a concept analysis using Walker and Avant's eight-step process. A comprehensive literature search was conducted (PubMed and CINAHL) with the keywords "dignity," "dementia," "Alzheimer's disease," and "dementia care."Results: A total of 42 out of 4910 publications were included. The concept of dignity in PwD is operationalized as the promotion of worthiness and the accordance of respect that allows the presence and expression of a person's sense of self, regardless of physical, mental, or cognitive health. The concept has two subdimensions: absolute dignity which encompasses the inherent self and relative dignity characterized by its dynamic reflective nature. Worthiness and respect are the two main attributes, while autonomy is an underlying component of dignity. Specific antecedents of dignity in PwD are empowerment, non-maleficence, and adaptive environmental scaffolding. As a consequence of facilitating dignity in PwD, QoL may be enhanced.Conclusion: As a foundational and necessary humanistic value, incorporating dignity into dementia care can lead to efficient and effective care that optimizes QoL in PwD throughout their disease progression.

Unraveling the multiple chronic conditions patterns among people with Alzheimer's disease and related dementia: A machine learning approach to incorporate synergistic interactions.

INTRODUCTION: Most people with Alzheimer's disease and related dementia (ADRD) also suffer from two or more chronic conditions, known as multiple chronic conditions (MCC). While many studies have investigated the MCC patterns, few studies have considered the synergistic interactions with other factors (called the syndemic factors) specifically for people with ADRD. METHODS: We included 40,290 visits and identified 18 MCC from the National Alzheimer's Coordinating Center. Then, we utilized a multi-label XGBoost model to predict developing MCC based on existing MCC patterns and individualized syndemic factors. RESULTS: Our model achieved an overall arithmetic mean of 0.710 AUROC (SD = 0.100) in predicting 18 developing MCC. While existing MCC patterns have enough predictive power, syndemic factors related to dementia, social behaviors, mental and physical health can improve model performance further. DISCUSSION: Our study demonstrated that the MCC patterns among people with ADRD can be learned using a machine-learning approach with syndemic framework adjustments. HIGHLIGHTS: Machine learning models can learn the MCC patterns for people with ADRD. The learned MCC patterns should be adjusted and individualized by syndemic factors. The model can predict which disease is developing based on existing MCC patterns. As a result, this model enables early specific MCC identification and prevention.

Telemedicine and Disparities in Mental Health Service Use Among Community-Dwelling Older Adults With Alzheimer Disease and Related Dementias.

OBJECTIVE: To examine disparities in mental health (MH) service utilization, via in-person and telemedicine (ie, tele-MH), by individuals' race, ethnicity, and community socioeconomic status, among community-dwelling older adults with Alzheimer disease and related dementias (ADRD) before and after the expansion of the Centers for Medicare and Medicaid Services' (CMS's) telemedicine policy. DESIGN: Observational study. SETTING AND PARTICIPANTS: A total of 3,003,571 community-dwelling Medicare beneficiaries with ADRD between 2019 and 2021 were included in the study. METHODS: Multiple national data were linked. The unit of analysis was individual-quarter. Three outcomes were defined: any MH visits (in-person or tele-MH), in-person MH visits, and tele-MH visits per quarter. Key independent variables included individual race and ethnicity, the socioeconomic status of the community, and an indicator for the implementation of the telemedicine policy. Regression analyses with individual random effects were used. RESULTS: In general, Black and Hispanic older adults with ADRD and those in socioeconomically deprived communities were less likely to have MH visits than white adults and those from less-deprived communities. In-person and tele-MH visits varied throughout the pandemic and across subpopulations. For instance, at the beginning of the pandemic, white, Black, and Hispanic older adults experienced 5.05, 3.03, and 2.87 percentage point reductions in in-person MH visits, and 3.53, 1.26, and 0.32 percentage point increases in tele-MH visits (with P < .01 for racial/ethnic differences), respectively. During the pandemic, the increasing trend in in-person MH visits and the decreasing trend in tele-MH visits varied across different subgroups. Overall, racial and ethnic differences in any MH visits were reduced, but the gap in any MH visits between deprived and less-deprived communities doubled during the pandemic (P < .01). CONCLUSIONS AND IMPLICATIONS: Telemedicine may have provided an opportunity to improve access to MH services among underserved populations. However, although some disparities in MH care were reduced, others widened, underscoring the importance of equitable health care access strategies to address the unique needs of different populations.

Evaluating the Efficacy of Time for Living and Caring: An Online Intervention to Support Dementia Caregivers' Use of Respite.

Background and Objectives: Respite, defined as time away from caregiving, is the most requested type of caregiver support. Time for Living and Caring (TLC) is a virtual coaching "app" that helps caregivers schedule and plan their respite time-use. The objectives of this analysis are: (1) to assess the efficacy of the TLC intervention on respite time-use and on caregiver well-being and (2) to identify the key features of the intervention that serve as the likely mechanism of action. Research Design and Methods: A sample of dementia caregivers (n = 163, 79% female, 84% White, 6% Hispanic, average age 62) were randomized into one of two intervention delivery methods. Intervention efficacy was evaluated using pre/post-comparisons of respite time-use and an additive "dosing" model that estimated unique parameters associated with the exposure to each specific intervention component. Results: Both immediate and delayed-attention groups reported increased respite time. They also improved in their ability to plan and perceive benefit from their respite time-use over the 16-week intervention period. At 8 weeks, the immediate group did not change in anxiety, whereas the delayed group worsened (p < .001). At 16 weeks, the groups were similar in their anxiety levels. By the 20-week follow-up period, when neither group had access to TLC, both experienced an increase in anxiety. Discussion and Implications: TLC is a promising intervention that may support caregivers' well-being, by helping them schedule and plan their respite to maximize its benefit. The provision of weekly coaching seems to be the intervention component (mechanism) associated with caregiver outcomes. Clinical Trial Registration: NCT03689179.

Single episode of moderate to severe traumatic brain injury leads to chronic neurological deficits and Alzheimer's-like pathological dementia.

Traumatic brain injury (TBI) is one of the foremost causes of disability and mortality globally. While the scientific and medical emphasis is to save lives and avoid disability during acute period of injury, a severe health problem can manifest years after injury. For instance, TBI increases the risk of cognitive impairment in the elderly. Remote TBI history was reported to be a cause of the accelerated clinical trajectory of Alzheimer's disease-related dementia (ADRD) resulting in earlier onset of cognitive impairment and increased AD-associated pathological markers like greater amyloid deposition and cortical thinning. It is not well understood whether a single TBI event may increase the risk of dementia. Moreover, the cellular signaling pathways remain elusive for the chronic effects of TBI on cognition. We have hypothesized that a single TBI induces sustained neuroinflammation and disrupts cellular communication in a way that results later in ADRD pathology. To test this, we induced TBI in young adult CD1 mice and assessed the behavioral outcomes after 11 months followed by pathological, histological, transcriptomic, and MRI assessment. On MRI scans, these mice showed significant loss of tissue, reduced CBF, and higher white matter injury compared to sham mice. We found these brains showed progressive atrophy, markers of ADRD, sustained astrogliosis, loss of neuronal plasticity, and growth factors even after 1-year post-TBI. Because of progressive neurodegeneration, these mice had motor deficits, showed cognitive impairments, and wandered randomly in open field. We, therefore, conclude that progressive pathology after adulthood TBI leads to neurodegenerative conditions such as ADRD and impairs neuronal functions.

Pathologic and cognitive correlates of plasma biomarkers in neurodegenerative disease.

INTRODUCTION: We investigate pathological correlates of plasma phosphorylated tau 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) across a clinically diverse spectrum of neurodegenerative disease, including normal cognition (NormCog) and impaired cognition (ImpCog). METHODS: Participants were NormCog (n = 132) and ImpCog (n = 461), with confirmed ß-amyloid (Aß+/-) status (cerebrospinal fluid, positron emission tomography, autopsy) and single molecule array plasma measurements. Logistic regression and receiver operating characteristic (ROC) area under the curve (AUC) tested how combining plasma analytes discriminated Aß+ from Aß-. Survival analyses tested time to clinical dementia rating (global CDR) progression. RESULTS: Multivariable models (p-tau+GFAP+NfL) had the best performance to detect Aß+ in NormCog (ROCAUC = 0.87) and ImpCog (ROCAUC = 0.87). Survival analyses demonstrated that higher NfL best predicted faster CDR progression for both Aß+ (hazard ratio [HR] = 2.94; p = 8.1e-06) and Aß- individuals (HR = 3.11; p = 2.6e-09). DISCUSSION: Combining plasma biomarkers can optimize detection of Alzheimer's disease (AD) pathology across cognitively normal and clinically diverse neurodegenerative disease. HIGHLIGHTS: Participants were clinically heterogeneous, with autopsy- or biomarker-confirmed Aß. Combining plasma p-tau181, GFAP, and NfL improved diagnostic accuracy for Aß status. Diagnosis by plasma biomarkers is more accurate in amnestic AD than nonamnestic AD. Plasma analytes show independent associations with tau PET and post mortem Aß/tau. Plasma NfL predicted longitudinal cognitive decline in both Aß+ and Aß- individuals.

Assisted living residents with dementia: Disparities in mental health services pre and during COVID-19.

BACKGROUND: Little is known about mental health among Medicare beneficiaries with Alzheimer's disease or related dementias (ADRD) who reside in assisted living (AL) communities. The COVID-19 pandemic may have curtailed ambulatory care access for these residents, but telehealth may have expanded it. We examined in-person and telehealth use of ambulatory mental health visits among AL residents with ADRD, pre and during the COVID pandemic, focusing on race/ethnicity and Medicare/Medicaid dual status. METHODS: A CY2018 cohort of AL residents with ADRD was identified. Outcome was any quarterly in-person or telemedicine mental health visit based on national CY2019-2020 Medicare claims. Key independent variables were individual race/ethnicity and dual status and the AL-level proportion of dual residents. We estimated a linear probability model with random effects and robust standard errors. Quarterly indicators captured service use before and after the onset of the pandemic. RESULTS: The study included 102,758 fee-for-service Medicare beneficiaries with ADRD in 13,400 ALs. One in five residents had any mental health visits prior to the COVID-19 pandemic. Black residents, and those with dual Medicare/Medicaid eligibility, were significantly less likely to use mental health services prior to and during the pandemic. There were no significant differences in visits via telemedicine by race/ethnicity or individual dual status. Residents in AL communities with a higher proportion of duals had a lower likelihood of visits before and during the pandemic. CONCLUSIONS/IMPLICATIONS: Mental health service use among AL residents with ADRD was low and declining prior to the pandemic. Telehealth allowed for mental health visits to continue during the pandemic, albeit at a lower level. Residents in ALs with a higher proportion of duals were less likely to have in-person or telehealth visits. The results suggest that some ALs may find it difficult to assure mental health service provision to this vulnerable population.

Serious Mental Illness in Assisted Living Communities: Association with Nursing Home Placement.

OBJECTIVES: Assess prevalence of serious mental illness (SMI) alone, and co-occurring with Alzheimer disease and related dementias (ADRD), among Medicare beneficiaries in assisted living (AL). Examine the association between permanent nursing home (NH) placement and SMI, among residents with and without ADRD. DESIGN: 2018-2019 retrospective cohort of Medicare beneficiaries in AL. Residents were followed for up to 2 years to track their NH placement. We used data from the Medicare Enrollment Database, the Medicare Beneficiary Summary File, Minimum Data Set, and a national directory of state-licensed AL communities. AL residents were identified using a validated, previously reported 9-digit zip code methodology. SETTING AND PARTICIPANTS: A cross-sectional study sample included 289,350 Medicare beneficiaries in 17,265 AL communities across 50 states and in the District of Columbia. METHODS: The outcome was permanent NH placement: a continuous stay for more than 90 days. Key independent variable was presence of SMI-schizophrenia, bipolar disorder, and major depression. Other covariates included sociodemographic factors and presence of other chronic conditions, including ADRD. A linear probability model with robust SEs, and AL-level random effects, was used to test the association between SMI diagnoses, ADRD, and their interactions on NH placement. RESULTS: More than half (55.65%) of AL residents had a diagnosis of SMI, among them 93.2% had major depression, 28.5% schizophrenia, and 22.2% bipolar disorder. Individuals with schizophrenia and bipolar disorder had a significantly lower probability of NH placement, a 32% and a 15% decrease relative to the cohort mean, respectively. Placement risk was significantly greater for residents with ADRD compared to those without, increasing for those who also had schizophrenia or bipolar disorder, 12.9% and 1.5% relative to the sample mean, respectively. CONCLUSION AND IMPLICATIONS: Presence of schizophrenia and bipolar disorder, in conjunction with ADRD, significantly increases the risk of long-term NH placement, suggesting that ALs may not be well prepared to care for these residents.