Underdiagnosis of Dementia: an Observational Study of Patterns in Diagnosis and Awareness in US Older Adults

Care Partner Confidence and Experiences in Legal Planning for People Living With Dementia: A Mixed-Methods Study

BACKGROUND AND OBJECTIVES

Care partners of persons living with dementia perform complex legal planning tasks. The purpose of this study was to survey care partners in the United States to understand their confidence and experience in performing legal planning tasks.

RESEARCH DESIGN AND METHODS

This study used a parallel mixed-methods research design. We administered a web-based survey to 318 adults who self-identified as care partners of persons living with dementia. The survey contained Likert scale questions and open-ended questions about legal planning tasks. Multivariate linear regression was used to analyze quantitative data and inductive thematic analysis was used to analyze qualitative data.

RESULTS

Care partners were, on average, 53 years of age and 78% female. The three topics in which participants were least confident were: protecting oneself legally as a care partner; options when legal documents are not in place and a family member is not legally competent; and circumstances when legal documents should be updated or renewed. We observed significant differences in legal planning confidence between newer and more experienced care partners (p < .001); lower- and higher-income care partners (p = .01); and adult child versus spousal care partners (p < .001). Thematic analysis revealed that legal planning challenges include initiating a conversation with the person living with dementia, understanding and using legal materials, and accessing materials that accommodate individual differences.

DISCUSSION AND IMPLICATIONS

It is vital to develop legal planning interventions that are tailored to specific subgroups of care partners, and to maximize the clarity, comprehensiveness, and accessibility of available legal planning education.

Assessment of disparities in timely diagnosis and comprehensive workup of cognitive impairment between English and Spanish speakers

BACKGROUND

Previous studies have examined disparities in dementia care that affect the U.S. Hispanic/Latino population, including clinician bias, lack of cultural responsiveness, and less access to health care. However, there is limited research that specifically investigates the impact of language barriers to health disparities in dementia diagnosis.

METHODS

In this retrospective cross-sectional study, 12,080 English- or Spanish- speaking patients who received an initial diagnosis of mild cognitive impairment (MCI) or dementia between July 2017 and June 2019 were identified in the Yale New Haven Health (YNHH) electronic medical record. To evaluate the timeliness of diagnosis, an initial diagnosis of MCI was classified as "timely", while an initial diagnosis of dementia was considered "delayed." Comprehensiveness of diagnosis was assessed by measuring the presence of laboratory studies, neuroimaging, specialist evaluation, and advanced diagnostics six months before or after diagnosis. Binomial logistic regressions were calculated with and without adjustment for age, legal sex, ethnicity, neighborhood disadvantage, and medical comorbidities.

RESULTS

Spanish speakers were less likely to receive a timely diagnosis when compared with English speakers both before (unadjusted OR, 0.65; 95% CI, 0.53-0.80, p <0.0001) and after adjusting for covariates (adjusted OR, 0.55; 95% CI, 0.40-0.75, p = 0.0001). Diagnostic services were provided equally between groups, except for referrals to geriatrics, which were more frequent among Spanish-speaking patients. A subgroup analysis revealed that Spanish-speaking Hispanic/Latino patients were less likely to receive a timely diagnosis compared to English-speaking Hispanic/Latino patients (adjusted OR, 0.53; 95% CI, 0.38-0.73, p = 0.0001).

CONCLUSIONS

Non-English language preference is likely to be a contributing factor to timely diagnosis of cognitive impairment. In this study, Spanish language preference rather than Hispanic/Latino ethnicity was a significant predictor of a less timely diagnosis of cognitive impairment. Policy changes are needed to reduce barriers in cognitive disorders care for Spanish-speaking patients.

Hospice Coding and Data Conventions Contribute to Oversimplify the Presence of Dementia in Hospice

OBJECTIVES

To document how dementia diagnoses appear in hospice claims, and how these different presentations reflect different hospice utilization. The reliance in the hospice literature on primary diagnosis, in addition to the focus on decedents, may underestimate the true presence of dementia in hospice, and little is known about the health care utilization of hospice patients with dementia as a secondary or not present diagnosis.

DESIGN

Secondary data analysis of Medicare claims.

SETTING AND PARTICIPANTS

Medicare beneficiaries with 2 or more dementia diagnoses from 2016 to 2018 electing hospice in 2018.

METHODS

Beneficiaries were classified based on the presence and position of dementia on their subset of hospice claims: primary diagnosis, secondary diagnosis, and not present. We then compared the demographics and utilization of the 3 claim-based categories of dementia beneficiaries in hospice in 2018.

RESULTS

Fewer than half of beneficiaries with a dementia diagnosis in all of their Medicare claims have dementia indicated as the primary diagnosis associated with their hospice claims, and 30% of beneficiaries did not have their diagnosed dementia appear at all on their hospice claims. Hospice length of stay and other utilization characteristics varied markedly across the 3 claim-based categories of dementia beneficiaries in hospice in 2018.

CONCLUSIONS AND IMPLICATIONS

Collectively, International Classification of Diseases, Tenth Revision (ICD-10) coding and sequencing conventions, coding practices, and research methods related to hospice claim diagnoses may unintentionally underestimate and oversimplify how dementia manifests in hospice utilization.

Palliative Care in Early Dementia: A Scoping Review

BACKGROUND

Palliative care is recommended for all people with dementia from diagnosis through end-of-life. However, palliative care needs and effective elements of palliative care are not well-defined for the earlier stages of dementia.

OBJECTIVE

To systematically map current research on palliative care early in the disease trajectory of dementia.

DESIGN

Scoping review of scientific literature.

DATA SOURCES

PubMed, CINAHL, EMBASE, Cochrane, PsycINFO, Web of Science REVIEW METHODS: We included studies published in English over the last decade (through March 2022) that focused on palliative care in early stages of dementia and targeted outcomes in palliative care domains. Two authors independently screened abstracts and full texts and scored the quality of included studies using tools by the Joanna Briggs Institute.

RESULTS

Among the 77 papers reviewed, few addressed early stages of dementia specifically. We found that: 1) While "early" palliative care was not well-defined in the literature, evidence indicated that palliative care needs were present at or before diagnosis and across the trajectory. Notable opportunities for palliative care arise at 'tipping points' (i.e., when symptoms, functional status, or caregiving needs change). 2) Palliative care needs in early dementia include advocacy for goal-aligned care in the future, reassurance against the threat of negligence and abandonment by caregivers, planning for future scenarios of care (practical, individual, and relational needs), and establishing of long-term relationships with providers entrusted for care later in disease. 3) Elements of effective palliative care in early dementia could include dementia-specific ACP and goals of care discussions, navigation for building a network of support, provision of tools and resources for family, tailored care and knowledge of the person, and well-prepared dementia-care providers. The scarcity of palliative care studies aimed at early disease indicates a gap in the evidence in dementia care.

CONCLUSION

The literature on palliative care in early dementia is sparse. Future studies should focus on assessment tools for optimizing timing of palliative care in early dementia, gaining better understanding of patient and family needs during early phases of disease, and providing training for providers and families in long-term relationships and communication around goals of care and future planning.

Strengthening Primary Care Workforce Capacity in Dementia Diagnosis and Care: A Qualitative Study of Project Alzheimer's Disease-ECHO

Primary care practitioners (PCPs) are the first point of contact for most patients with suspected dementia and have identified a need for more training and support around dementia diagnosis and care. This qualitative study examined the Alzheimer's Disease-Extension for Community Healthcare Outcomes (AD-ECHO) program. AD-ECHO was designed to strengthen PCP capacity in dementia through bimonthly virtual meetings with a team of dementia experts. We conducted 24 hr of direct observations at AD-ECHO sessions and interviewed 14 participants about their experiences participating. Using thematic analysis, we found that participants valued the supportive learning environment and resources; knowledge gained empowered them to take more action around dementia; they identified ways of disseminating knowledge gained into their practice settings, and many desired ongoing AD-ECHO engagement. However, most identified time as a barrier to participation. AD-ECHO has the potential to strengthen the primary care workforce's knowledge and confidence around dementia care.

End of life care for people with dementia and comorbid cancer: recent studies and research gaps

PURPOSE OF REVIEW

This narrative review examines recent research on end of life (EOL) care for people with dementia and comorbid cancer, highlighting the complexity and challenge of providing effective EOL care for this group and areas of interest for future research.

RECENT FINDINGS

People with cancer and dementia and their family/supporters have more complex care and support needs at EOL that are less well met than those of older adults with cancer alone, including questionable use of aggressive EOL care interventions, poorer access to specialist palliative care teams and poor pain management. Those diagnosed with dementia at the same time as, or after their cancer diagnosis, are at greater risk of aggressive EOL care and EOL cancer treatment and care plans that are not able to meet their care needs as dementia progresses.

SUMMARY

There is a lack of research on EOL care for people with cancer and dementia. There is little understanding of what good care for this population looks like and if and how EOL care can best meet the needs of people with cancer and dementia or their carers/supporters. More research is needed to inform improved care for this population.

The association of comorbid dementia with length of stay, cost and mortality among older adults in US acute hospitals: An observational study

BACKGROUND

Although overall health and social care expenditures among persons with dementia are larger than for other diseases, the resource and cost implications of a comorbid diagnosis of dementia in acute hospitals in the U.S. are largely unknown. We estimate the difference in inpatient outcomes between similar hospital admissions for patients with and without comorbid dementia (CD).

METHODS

Inpatient admissions, from the U.S. National Inpatient Sample (2016-2019), were stratified according to hospital characteristics and primary diagnosis (using ICD-10-CM codes), and entropy balanced within strata according to patient and hospital characteristics to create two comparable groups of admissions for patients (aged 65 years or older) with and without CD (a non-primary diagnosis of dementia). Generalized linear regression modeling was then used to estimate differences in length of stay (LOS), cost, absolute mortality risk and number of procedures between these two groups.

RESULTS

The final sample consisted of 8,776,417 admissions, comprised of 1,013,879 admissions with and 7,762,538 without CD. CD was associated with on average 0.25 (95 % CI: 0.24-0.25) days longer LOS, 0.4 percentage points (CI: 0.37-0.42) higher absolute mortality risk, $1187 (CI: -1202 to -1171) lower inpatient costs and 0.21 (CI: -0.214 to -0.210) fewer procedures compared to similar patients without CD.

CONCLUSION

Comorbid dementia is associated with longer LOS and higher mortality in acute hospitals but lower inpatient costs and fewer procedures. This highlights potential communication issues between dementia patients and hospital staff, with patients struggling to express their needs and staff lacking sufficient dementia training to address communication challenges.

2024 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.

Reported Unmet Hearing Aid Need in Older People With Dementia: The US National Core Indicators Survey

OBJECTIVES

Hearing aids have important health benefits for older adults with Alzheimer disease and related dementias (ADRD); however, hearing aid adoption in this group is low. This study aimed to determine where to target hearing aid interventions for American long-term care recipients with ADRD by examining the association of ADRD and residence type with respondent-reported unmet hearing aid need.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the United States National Core Indicators-Aging and Disabilities survey (2015-2019) for long-term care recipients aged ≥65 years.

METHODS

We used multivariable logistic regression to model the likelihood of reporting unmet hearing aid need conditional on ADRD status and residence type (own/family house or apartment, residential care, or nursing facility/home), adjusting for sociodemographic factors and response type (self vs proxy).

RESULTS

Of the 25,492 respondents [median (IQR) age, 77 (71, 84) years; 7074 (27.8%) male], 5442 (21.4%) had ADRD and 3659 (14.4%) owned hearing aids. Residence types were 17,004 (66.8%) own/family house or apartment, 4966 (19.5%) residential care, and 3522 (13.8%) nursing home. Among non-hearing aid owners, ADRD [adjusted odds ratio (AOR) 0.90, 95% CI 0.80-1.0] and residence type were associated with respondent-reported unmet hearing aid need. Compared to the nursing home reference group, respondents in their own/family home (AOR 1.85, 95% CI 1.61-2.13) and residential care (AOR 1.30, 95% CI 1.10-1.53) were more likely to report unmet hearing aid need. This pattern was significantly more pronounced in people with ADRD than in those without, stemming from an interaction between ADRD and residence type.

CONCLUSIONS AND IMPLICATIONS

American long-term care recipients with ADRD living in their own/family home are more likely to report unmet hearing aid need than those with ADRD in institutional and congregate settings. This information can inform the design and delivery of hearing interventions for older adults with ADRD.

Clinical validation of the PrecivityAD2 blood test: A mass spectrometry-based test with algorithm combining %p-tau217 and Aβ42/40 ratio to identify presence of brain amyloid

BACKGROUND

With the availability of disease-modifying therapies for Alzheimer's disease (AD), it is important for clinicians to have tests to aid in AD diagnosis, especially when the presence of amyloid pathology is a criterion for receiving treatment.

METHODS

High-throughput, mass spectrometry-based assays were used to measure %p-tau217 and amyloid beta (Aβ)42/40 ratio in blood samples from 583 individuals with suspected AD (53% positron emission tomography [PET] positive by Centiloid > 25). An algorithm (PrecivityAD2 test) was developed using these plasma biomarkers to identify brain amyloidosis by PET.

RESULTS

The area under the receiver operating characteristic curve (AUC-ROC) for %p-tau217 (0.94) was statistically significantly higher than that for p-tau217 concentration (0.91). The AUC-ROC for the PrecivityAD2 test output, the Amyloid Probability Score 2, was 0.94, yielding 88% agreement with amyloid PET. Diagnostic performance of the APS2 was similar by ethnicity, sex, age, and apoE4 status.

DISCUSSION

The PrecivityAD2 blood test showed strong clinical validity, with excellent agreement with brain amyloidosis by PET.

Incidence and Prevalence of Dementia: A 2015-2020 Population-Based Study in the Campania Region of Italy

OBJECTIVE

The aims of this study were to provide population-based estimates of prevalence and incidence of any dementia and Alzheimer's dementia (AD) in the Campania region (South Italy) and to validate towards a clinical registry.

METHODS

This was a population-based study, using routinely collected healthcare data of individuals living in the Campania region (South Italy) from 2015 to 2020. We included individuals aged ≥65 years alive at the prevalence day (January 1, 2021) who had at least one administrative record for dementia and/or AD from 2015 to 2020. Age-and sex-standardised prevalence rates were calculated using direct standardisation method (European population in 2020 as the reference population). To estimate the incidence, we tested three possible algorithms, which differed for the duration of the time interval between study baseline (January 1, 2015) and index date (first record for dementia and/or AD in administrative databases). We employed a clinical database for the validation of our algorithms towards neuropsychological test results.

RESULTS

Among individuals aged over 65 years, 80,392 had dementia, of which 35,748 had AD. The age- and sex-standardised prevalence rates per 1,000 individuals for any dementia and AD were 77.64 (95% confidence interval [CI] = 77.57; 77.68) and 34.05 (95% CI = 34.01; 34.09), respectively. There were 82.10 incident cases of any dementia per 100,000 per year (0.79 sensitivity and 0.62 specificity) and 59.89 incident cases of AD per 100,000 per year (0.80 sensitivity and 0.59 specificity). The capture-recapture method showed a very low number of undetected cases (1.7% for any dementia and 3.0% for AD). Our algorithms showed acceptable performance with the area under the curve ranging from 0.59 to 0.72 and a double likelihood ratio of correctly identifying individuals above and below mini-mental status examination (MMSE) standard cut-offs (24 and 26).

CONCLUSIONS

Prevalence and incidence of any dementia and AD in the Campania region (South Italy) from 2015 to 2020 are in line with previous estimates from other countries. Our algorithm, integrating administrative and clinical data, holds potential for assessing dementia's epidemiological burden, identifying risk factors, planning healthcare access, and developing prevention strategies.

Impact of dementia status on intravenous thrombolysis and endovascular treatment for acute ischemic stroke: Retrospective study

INTRODUCTION

Individuals with dementia are underrepresented in interventional studies for acute ischemic stroke (AIS). This research gap creates a bias against their treatment in clinical practice. Our goal was to compare the safety and efficacy of intravenous-thrombolysis (t-PA) and endovascular treatment (EVT) in individuals with or without pre-AIS dementia.

METHOD

A retrospective study of AIS patients receiving t-PA or EVT between 2019 and 2022. Patients were classified as dementia on a case-by-case review of baseline assessment. Additional variables included demographic, vascular risk factors, AIS severity and treatment. Outcomes of interest were intracerebral hemorrhage, mortality in 90-days, and the difference in modified rankin scale (mRS) before AIS and in 90-days follow-up. Outcomes were compared across non-matched groups and following propensity-score matching.

RESULTS

Altogether, 628 patients were included, of which 68 had pre-AIS dementia. Compared to non-dementia group, dementia group were older, had a higher rate of vascular risk factors, higher pre-stroke mRS and higher baseline NIHSS. Individuals with dementia had higher rates of mortality (25% vs.11%,p < 0.01) on non-matched comparison. All cohort and restricted t-PA EVT matched analysis showed no difference in any outcome. Regression analysis confirmed that AIS severity at presentation and its treatment, not dementia, were the chief contributors to patients' outcomes.

DISCUSSION

Our results indicate that pre-AIS dementia does not impact the efficacy or safety of EVT or t-PA for AIS. We thus call for more inclusive research on stroke therapy with regards to baseline cognitive status. Such studies are urgently required to inform stroke guidelines and enhance care.

Perspectives from persons living with dementia and their caregivers on emergency department visits, care transitions, and outpatient follow-up: A qualitative study

BACKGROUND

Persons living with dementia (PLWD) experience frequent and costly emergency department (ED) visits, with poor outcomes attributed to suboptimal care and postdischarge care transitions. Yet, patient-centered data on ED care experiences and postdischarge needs are lacking. The objective of this study was to examine the facilitators and barriers to successful ED care and care transitions after discharge, according to PLWD and their caregivers.

METHODS

We conducted a qualitative study involving ED patients ages 65 and older with confirmed or suspected dementia and their caregivers. The semistructured interview protocol followed the National Quality Forum's ED Transitions of Care Framework and addressed ED care, care transitions, and outpatient follow-up care. Interviews were conducted during an ED visit at an urban, academic ED. Traditional thematic analysis was used to identify themes.

RESULTS

We interviewed 11 patients and 19 caregivers. Caregivers were more forthcoming than patients about facilitators and challenges experienced. Characteristics of the patients' condition (e.g., resistance to care, forgetfulness), the availability of family resources (e.g., caregiver availability, primary care access), and system-level factors (e.g., availability of timely appointments, hospital policies tailored to persons with dementia) served as facilitators and barriers to successful care. Some resources that would ameliorate care transition barriers could be easily provided in the ED, for example, offering clear discharge instructions and care coordination services and improving patient communication regarding disposition timeline. Other interventions would require investment from other parts of the health care system (e.g., respite for caregivers, broader insurance coverage).

CONCLUSIONS

ED care and care transitions for PLWD are suboptimal, and patient-level factors may exacerbate existing system-level deficiencies. Insight from patients and their caregivers may inform the development of ED interventions to design specialized care for this patient population. This qualitative study also demonstrated the feasibility of conducting ED-based studies on PLWD during their ED visit.

Intelligent decision support systems for dementia care: A scoping review

In the context of dementia care, Artificial Intelligence (AI) powered clinical decision support systems have the potential to enhance diagnosis and management. However, the scope and challenges of applying these technologies remain unclear. This scoping review aims to investigate the current state of AI applications in the development of intelligent decision support systems for dementia care. We conducted a comprehensive scoping review of empirical studies that utilised AI-powered clinical decision support systems in dementia care. The results indicate that AI applications in dementia care primarily focus on diagnosis, with limited attention to other aspects outlined in the World Health Organization (WHO) Global Action Plan on the Public Health Response to Dementia 2017-2025 (GAPD). A trifecta of challenges, encompassing data availability, cost considerations, and AI algorithm performance, emerges as noteworthy barriers in adoption of AI applications in dementia care. To address these challenges and enhance AI reliability, we propose a novel approach: a digital twin-based patient journey model. Future research should address identified gaps in GAPD action areas, navigate data-related obstacles, and explore the implementation of digital twins. Additionally, it is imperative to emphasize that addressing trust and combating the stigma associated with AI in healthcare should be a central focus of future research directions.

Impact of dementia and socioeconomic disadvantage on days at home after traumatic brain injury among older Medicare beneficiaries: A cohort study

INTRODUCTION

Time spent at home may aid in understanding recovery following traumatic brain injury (TBI) among older adults, including those with Alzheimer's disease and related dementias (ADRD). We examined the impact of ADRD on recovery following TBI and determined whether socioeconomic disadvantages moderated the impact of ADRD.

METHODS

We analyzed Medicare beneficiaries aged ≥65 years diagnosed with TBI in 2010-2018. Home time was calculated by subtracting days spent in a care environment or deceased from total follow-up, and dual eligibility for Medicaid was a proxy for socioeconomic disadvantage.

RESULTS

A total of 2463 of 20,350 participants (12.1%) had both a diagnosis of ADRD and were Medicaid dual-eligible. Beneficiaries with ADRD and Medicaid spent markedly fewer days at home following TBI compared to beneficiaries without either condition (rate ratio 0.66; 95% confidence interval [CI] 0.64, 0.69).

DISCUSSION

TBI resulted in a significant loss of home time over the year following injury among older adults with ADRD, particularly for those who were economically vulnerable.

HIGHLIGHTS

Remaining at home after serious injuries such as fall-related traumatic brain injury (TBI) is an important goal for older adults. No prior research has evaluated how ADRD impacts time spent at home after TBI. Older TBI survivors with ADRD may be especially vulnerable to loss of home time if socioeconomically disadvantaged. We assessed the impact of ADRD and poverty on a novel DAH measure after TBI. ADRD-related disparities in DAH were significantly magnified among those living with socioeconomic disadvantage, suggesting a need for more tailored care approaches.

Using Natural Language Processing to Identify Home Health Care Patients at Risk for Diagnosis of Alzheimer's Disease and Related Dementias

This study aimed to: (1) validate a natural language processing (NLP) system developed for the home health care setting to identify signs and symptoms of Alzheimer's disease and related dementias (ADRD) documented in clinicians' free-text notes; (2) determine whether signs and symptoms detected via NLP help to identify patients at risk of a new ADRD diagnosis within four years after admission. This study applied NLP to a longitudinal dataset including medical record and Medicare claims data for 56,652 home health care patients and Cox proportional hazard models to the subset of 24,874 patients admitted without an ADRD diagnosis. Selected ADRD signs and symptoms were associated with increased risk of a new ADRD diagnosis during follow-up, including: motor issues; hoarding/cluttering; uncooperative behavior; delusions or hallucinations; mention of ADRD disease names; and caregiver stress. NLP can help to identify patients in need of ADRD-related evaluation and support services.

Low-Fidelity Prototype of a Sensor-Dependent Interaction Platform: Formative Evaluation With Informal Caregivers of Older Adults With Cognitive Impairment

BACKGROUND

Unobtrusive sensing technologies developed for monitoring deviant behaviors in older adult care require integration with an interaction platform to facilitate the flow of information between older adults and their caregivers. However, the continuous monitoring capabilities generate a considerable amount of data that must be interpreted, filtered, and personalized before being communicated to the informal caregivers based on their specific care needs and requirements.

OBJECTIVE

For the effective implementation of unobtrusive sensing solutions (USSs) in the care of older adults with cognitive impairment, we aimed to explore the expectations and preconditions regarding the implementation of USSs from the perspective of informal caregivers. Subsequently, we designed and evaluated a low-fidelity prototype of an interaction platform for its conceptual workflow and usability, incorporating persuasive system design features based on the needs and requirements of informal caregivers.

METHODS

Overall, 6 informal caregivers of older adults with cognitive impairment living alone participated in this qualitative interview study. We explored the expectation and preconditions regarding implementation through open-ended questions and conducted a formative evaluation (usability study with a think-aloud approach) to evaluate the conceptual workflow and used persuasive system design features in the interaction platform. Overall, a combination of inductive and thematic analyses was used to analyze the interviews.

RESULTS

The results of this study present both positive and negative outcome expectations regarding the implementation of USSs, highlighting benefits such as objective decision-making and peace of mind and concerns about information overload and the potential substitution of human contact. Strategic information communication agreements between informal and formal caregivers were deemed crucial for the successful implementation of USSs in care. Overall, informal caregivers had a positive experience with the low-fidelity prototype of the interaction platform, particularly valuing the personalization feature.

CONCLUSIONS

In conclusion, to achieve successful implementation, a holistic design approach is necessary, and equal consideration should be given to the personalization-privacy paradox to balance users' needs and privacy.

Effects of training Community Health Agents on dementia: a quasi-experimental study

OBJECTIVES

to evaluate the knowledge of Community Health Agents about dementia before and after the training workshop for detecting signs of the disease.

METHODS

a quasi-experimental study with 33 community agents, in which sociodemographic information and knowledge about dementia were collected and assessed using the Alzheimer's Disease Knowledge Scale before and after the workshop. There were 10 weekly, online, synchronous meetings. The Student's t-test for related samples was used, and the effect size was calculated.

RESULTS

while the average score on the initial assessment, using the measurement instrument, was 16.3, it was 21.24 in the final assessment. An increase in the scale score was observed after participating in the workshop, with a value of 4.94.

CONCLUSIONS

it is urgent to invest in the ongoing education of these professionals for greater awareness in the timely detection of dementia cases in primary care and awareness of potentially modifiable factors.

Variation in Home Healthcare Use by Dementia Status Among a National Cohort of Older Adults

BACKGROUND

Medicare-funded home healthcare (HHC) delivers skilled nursing, therapy, and related services through visits to the patient's home. Nearly one-third (31%) of HHC patients have diagnosed dementia, but little is currently known regarding how HHC utilization and care delivery differ for persons living with dementia (PLwD).

METHODS

We drew on linked 2012-2018 Health and Retirement Study and Medicare claims for a national cohort of 1 940 community-living older adults. We described differences in HHC admission, length of stay, and referral source by patient dementia status and used weighted, multivariable logistic and negative binomial models to estimate the relationship between dementia and HHC visit type and intensity while adjusting for sociodemographic characteristics, health and functional status, and geographic/community factors.

RESULTS

PLwD had twice the odds of using HHC during a 2-year observation period, compared to those without dementia (odds ratio [OR]: 2.03; p < .001). They were more likely to be referred to HHC without a preceding hospitalization (49.4% vs 32.1%; p < .001) and incurred a greater number of HHC episodes (1.4 vs 1.0; p < .001) and a longer median HHC length of stay (55.8 days vs 40.0 days; p < .001). Among post-acute HHC patients, PLwD had twice the odds of receiving social work services (unadjusted odds ratio [aOR]: 2.15; p = .008) and 3 times the odds of receiving speech-language pathology services (aOR: 2.92; p = .002).

CONCLUSIONS

Findings highlight HHC's importance as a care setting for community-living PLwD and indicate the need to identify care delivery patterns associated with positive outcomes for PLwD and design tailored HHC clinical pathways for this patient subpopulation.

Tele-Neuropsychology: From Science to Policy to Practice

OBJECTIVE

The primary aim of this paper is to accelerate the number of randomized experimental studies of the reliability and validity in-home tele-neuropsychological testing (tele-np-t).

METHOD

We conducted a critical review of the tele-neuropsychology literature. We discuss this research in the context of the United States' public and private healthcare payer systems, including the Centers for Medicare & Medicaid Services (CMS) and Current Procedural Terminology (CPT) coding system's telehealth lists, and existing disparities in healthcare access.

RESULTS

The number of tele-np publications has been stagnant since the onset of the COVID-19 pandemic. There are less published experimental studies of tele-neuropsychology (tele-np), and particularly in-home tele-np-t, than other tele-np publications. There is strong foundational evidence of the acceptability, feasibility, and reliability of tele-np-t, but relatively few studies of the reliability and validity of in-home tele-np-t using randomization methodology.

CONCLUSIONS

More studies of the reliability and validity of in-home tele-np-t using randomization methodology are necessary to support inclusion of tele-np-t codes on the CMS and CPT telehealth lists, and subsequently, the integration and delivery of in-home tele-np-t services across providers and institutions. These actions are needed to maintain equitable reimbursement of in-home tele-np-t services and address the widespread disparities in healthcare access.

Improving genetic risk modeling of dementia from real-world data in underrepresented populations

BACKGROUND

Genetic risk modeling for dementia offers significant benefits, but studies based on real-world data, particularly for underrepresented populations, are limited.

METHODS

We employed an Elastic Net model for dementia risk prediction using single-nucleotide polymorphisms prioritized by functional genomic data from multiple neurodegenerative disease genome-wide association studies. We compared this model with APOE and polygenic risk score models across genetic ancestry groups, using electronic health records from UCLA Health for discovery and All of Us cohort for validation.

RESULTS

Our model significantly outperforms other models across multiple ancestries, improving the area-under-precision-recall curve by 21-61% and the area-under-the-receiver-operating characteristic by 10-21% compared to the APOEand the polygenic risk score models. We identified shared and ancestry-specific risk genes and biological pathways, reinforcing and adding to existing knowledge.

CONCLUSIONS

Our study highlights benefits of integrating functional mapping, multiple neurodegenerative diseases, and machine learning for genetic risk models in diverse populations. Our findings hold potential for refining precision medicine strategies in dementia diagnosis.

Improving genetic risk modeling of dementia from real-world data in underrepresented populations

BACKGROUND

Genetic risk modeling for dementia offers significant benefits, but studies based on real-world data, particularly for underrepresented populations, are limited.

METHODS

We employed an Elastic Net model for dementia risk prediction using single-nucleotide polymorphisms prioritized by functional genomic data from multiple neurodegenerative disease genome-wide association studies. We compared this model with APOE and polygenic risk score models across genetic ancestry groups, using electronic health records from UCLA Health for discovery and All of Us cohort for validation.

RESULTS

Our model significantly outperforms other models across multiple ancestries, improving the area-under-precision-recall curve by 21-61% and the area-under-the-receiver-operating characteristic by 10-21% compared to the APOE and the polygenic risk score models. We identified shared and ancestry-specific risk genes and biological pathways, reinforcing and adding to existing knowledge.

CONCLUSIONS

Our study highlights benefits of integrating functional mapping, multiple neurodegenerative diseases, and machine learning for genetic risk models in diverse populations. Our findings hold potential for refining precision medicine strategies in dementia diagnosis.

Evaluating Elements of the Care Partner Experience in Individuals Who Care for People with Alzheimer's Disease Across the Severity Spectrum

INTRODUCTION

Non-professional care partners play an important and often evolving role in the care of persons living with Alzheimer's disease (PLWAD). We investigated two elements of the care partner experience, namely time and strain incurred by care partners providing care to PLWAD across the severity spectrum.

METHODS

Data gathered from the Alzheimer's Disease Patient and Caregiver Engagement (AD PACE) What Matters Most (WMM) study series were analyzed to determine how much time care partners spent providing care to PLWAD based on where the care recipients lived. Additionally, quantitative assessments of weekly hours providing care and the strain experienced by care partners were conducted using the UsAgainstAlzheimer's A-LIST Insights Series survey, which included the Modified Caregiver Strain Index (MCSI). Finally, a targeted literature review was conducted to contextualize findings and characterize the existing literature landscape.

RESULTS

Care partners in the AD PACE WMM studies (n = 139) spent significantly more hours providing care for recipients who lived with someone (mean ± standard deviation [SD], 57.3 ± 44.3 h/week) than for recipients who lived alone (26.0 ± 12.0 h/week) (P = 0.0096) or lived in assisted living/nursing home (23.6 ± 14.4 h/week) (P = 0.0002). In the A-LIST Insights Series survey, care partners provided an overall mean (± SD) 58.1 ± 53.0 h of direct care each week, with caregiving hours increasing with increasing severity of AD/AD-related dementias (AD/ADRD). Additionally, care partners for recipients with mild (n = 14), moderate (n = 111), and severe AD/ADRD (n = 91) had overall mean MCSI scores of 9.0 ± 3.8 (range 2-14), 13.3 ± 4.8 (range 4-23), and 17.5 ± 5.3 (range 4-26), respectively, with higher scores suggesting greater care partner strain.

CONCLUSIONS

Persons living with AD require increasing levels of care along the spectrum of disease, and even individuals with early disease need care from partners. Early interventions that slow progression of AD and programs that improve family function may have beneficial impact on the experiences of care partners for recipients with mild, moderate, or severe AD.

Risk of dementia among veterans experiencing homelessness and housing instability

BACKGROUND

In the United States, nearly 85,000 Veterans experienced homelessness during 2020, and thousands more are experiencing housing instability, representing a significant proportion of the population.1 Many Veterans experiencing homelessness are aging and have complex co-occurring medical, psychiatric, and substance use disorders. Homelessness and older age put Veterans at greater risk for age-related disorders, including Alzheimer's disease and related dementias (ADRD).

METHODS

We examined the rate of ADRD diagnosis for Veterans experiencing homelessness and housing instability compared to a matched cohort of stably housed Veterans over a nine-year period using cox proportional hazard models.

RESULTS

In the matched cohort, 95% (n = 88,811) of Veterans were men, and 67% (n = 59,443) were White and were on average 63 years old (SD = 10.8). Veterans with housing instability had a higher hazard of 1.53 (95% confidence interval (CI) 1.50, 1.59) for ADRD compared to Veterans without housing instability.

CONCLUSIONS

Veterans experiencing housing instability have a substantially higher risk of receiving an ADRD diagnosis than a matched cohort of stably housed Veterans. Health systems and providers should consider cognitive screening among people experiencing housing insecurity. Existing permanent supportive housing programs should consider approaches to modify wraparound services to support Veterans experiencing ADRD.

[Palliative Care Needs in Primary Health Care: Characteristics of Patients with Advanced Cancer and Dementia]

INTRODUCTION

The increase in life expectancy brought a higher prevalence of chronic diseases, with an emphasis on those who reached advanced stages and required palliative care. We aimed to characterize patients diagnosed with advanced neoplasms and/or dementia accompanied in primary health care and to test the sensitivity of two tools for identifying patients with palliative needs.

METHODS

We recruited three voluntary family physicians who provided data relative to 623 patients with active codification for neoplasm and/or dementia on the MIM@UF platform. We defined 'patient with palliative needs' as any patient with this codification in advanced stadium and made their clinical and sociodemographic characterization. Assuming the existence of advanced-stage disease as the gold standard, we calculated and compared the sensitivities of each of the tools under study: the surprise question, the question 'do you think this patient has palliative needs?' and an instrument that corresponded to identification by at least one of the questions.

RESULTS

Among the analyzed data, there were 559 (89.7%) active codifications of neoplasm and 64 (10.3%) of dementia; the prevalence of advanced neoplasm and dementia was 1.0% in the studied sample. The subgroup of patients with advanced dementia showed female sex predominance, an older age, and less access to health care. In both subgroups there was a scarcity of data related to education and income, and we observed polypharmacotherapy and multimorbidity. The sensitivity of the surprise question was 33.3% for neoplasia and 69.3% for dementia; of the new tool 50.0% for neoplasia and 92.3% for dementia; and, when used together, 55.6% for neoplasia and 92.3% for dementia.

CONCLUSION

Our results help characterize two subpopulations of patients in need of palliative care and advance with a possible tool for their identification, to be confirmed in a representative sample.

Terms of Engagement: Understanding the Motivations, Preferences, and Attitudes of Older Adults Toward Mobile Cognitive Assessment and Training

BACKGROUND AND OBJECTIVES

The future of cognitive assessment is likely to involve mobile applications for smartphones and tablets; cognitive training is also often delivered in these formats. Unfortunately, low adherence to these programs can hinder efforts at the early detection of cognitive decline and interfere with examining cognitive training efficacy in clinical trials. We explored factors that increase adherence to these programs among older adults.

RESEARCH DESIGN AND METHODS

Focus groups were conducted with older adults (N = 21) and a younger adult comparison group (N = 21). Data were processed using reflexive thematic analysis with an inductive, bottom-up approach.

RESULTS

Three primary themes related to adherence were developed from the focus group data. Switches of engagement reflects factors that must be present; without them, engagement is unlikely. Dials of engagement reflects a cost-benefit analysis that users undergo, the outcome of which determines whether a person will be more or less likely to engage. Bracers of engagement reflects factors that nudge users toward engagement by minimizing barriers associated with the other themes. Older adults in general were more sensitive to opportunity costs, preferred more cooperative interactions, and were more likely to mention technology barriers.

DISCUSSION AND IMPLICATIONS

Our results are important for informing the design of mobile cognitive assessment and training apps for older adults. These themes provide guidance about ways apps could be modified to increase engagement and adherence, which in turn can more effectively facilitate the early detection of cognitive impairment and the evaluation of cognitive training efficacy.

Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering

With increasing number of people living with dementia, the problem of late diagnosis significantly impacts a person's quality of life while early signs of dementia may provide useful insights to facilitate better treatment plans. With time, this progressive neurodegenerative syndrome could progress from mild cognitive impairment to dementia. A pattern of health conditions can be characterized in unsupervised manner to help predict this progress. As a significant extension to our previous work with streaming clustering model, we consider additional information for predicting dementia onset. With empirical observations, we discover the importance of examining sex and age to predict dementia onset. To this end, we propose a sex-specific model with age-constraint for predicting dementia onset and validate the effectiveness of our models using data from Mayo Clinic Study of Aging (MCSA). The proposed sex-specific models for older adult populations (>=65 years of age) outperformed the previous models with F-score of 77% and 78% for male-specific and female-specific models, respectively. Our experiments of sex-specific temporal clustering of features in older adults demonstrate the potential of more personalized models for early alerts of dementia.

Algorithmic identification of persons with dementia for research recruitment: ethical considerations

Underdiagnosis, misdiagnosis, and patterns of social inequality that translate into unequal access to health systems all pose barriers to identifying and recruiting diverse and representative populations into research on Alzheimer's disease and Alzheimer's disease related dementias. In response, some have turned to algorithms to identify patients living with dementia using information that is associated with this condition but that is not as specific as a diagnosis. This paper explains six ethical issues associated with the use of such algorithms including the generation of new, sensitive, identifiable medical information for research purposes without participant consent, issues of justice and equity, risk, and ethical communication. It concludes with a discussion of strategies for addressing these issues and prompting valuable research.

Alzheimer's Disease: Models and Molecular Mechanisms Informing Disease and Treatments

Alzheimer's Disease (AD) is a complex neurodegenerative disease resulting in progressive loss of memory, language and motor abilities caused by cortical and hippocampal degeneration. This review captures the landscape of understanding of AD pathology, diagnostics, and current therapies. Two major mechanisms direct AD pathology: (1) accumulation of amyloid β (Aβ) plaque and (2) tau-derived neurofibrillary tangles (NFT). The most common variants in the Aβ pathway in APP, PSEN1, and PSEN2 are largely responsible for early-onset AD (EOAD), while MAPT, APOE, TREM2 and ABCA7 have a modifying effect on late-onset AD (LOAD). More recent studies implicate chaperone proteins and Aβ degrading proteins in AD. Several tests, such as cognitive function, brain imaging, and cerebral spinal fluid (CSF) and blood tests, are used for AD diagnosis. Additionally, several biomarkers seem to have a unique AD specific combination of expression and could potentially be used in improved, less invasive diagnostics. In addition to genetic perturbations, environmental influences, such as altered gut microbiome signatures, affect AD. Effective AD treatments have been challenging to develop. Currently, there are several FDA approved drugs (cholinesterase inhibitors, Aß-targeting antibodies and an NMDA antagonist) that could mitigate AD rate of decline and symptoms of distress.

Impact of adverse pregnancy outcomes on brain vascular health and cognition

A State of the Art lecture titled "Impact of Adverse Pregnancy Outcomes on Brain Vascular Health and Cognition" was presented at the International Society on Thrombosis and Haemostasis Congress in 2023. Adverse pregnancy outcomes, encompassing conditions such as gestational hypertension, eclampsia, preeclampsia, preterm birth, fetal growth restriction, stillbirth, and gestational diabetes, may form part of an underrecognized pathway from early adulthood reproductive health factors to later-life vascular cognitive impairment and dementia in women. Adverse pregnancy outcomes are caused by dysregulated vascular and metabolic adaptations during pregnancy, and these pathophysiological changes may persist after delivery. Adverse pregnancy outcomes may contribute to the increased risk of cognitive impairment and dementia directly through vascular and metabolic dysregulation and subsequent development of cardiovascular diseases, or other biological processes may be at play, such as shared maternal risk factors. Extensive epidemiologic evidence has shown that many cognitive impairment and dementia cases may be prevented or delayed by strategies targeting midlife cardiovascular health. Despite the recognized importance of adverse pregnancy outcomes for cardiovascular health, the literature on associated long-term health outcomes is limited. In this State of the Art review article, we summarize the current epidemiologic evidence on the relationship between adverse pregnancy outcomes and cognitive impairment and dementia and provide an overview of the potential pathophysiological mechanisms. Finally, we summarize relevant new data on this topic presented during the 2023 International Society on Thrombosis and Haemostasis Congress.

Blood Markers in Relation to a History of Traumatic Brain Injury Across Stages of Cognitive Impairment in a Diverse Cohort

BACKGROUND

Traumatic brain injury (TBI) has been linked to multiple pathophysiological processes that could increase risk for Alzheimer's disease and related dementias (ADRD). However, the impact of prior TBI on blood biomarkers for ADRD remains unknown.

OBJECTIVE

Using cross-sectional data, we assessed whether a history of TBI influences serum biomarkers in a diverse cohort (approximately 50% Hispanic) with normal cognition, mild cognitive impairment, or dementia.

METHODS

Levels of glial fibrillary acidic protein (GFAP), neurofilament light (NFL), total tau (T-tau), and ubiquitin carboxy-terminal hydrolase-L1 (UCHL1) were measured for participants across the cognitive spectrum. Participants were categorized based on presence and absence of a history of TBI with loss of consciousness, and study samples were derived through case-control matching. Multivariable general linear models compared concentrations of biomarkers in relation to a history of TBI and smoothing splines modelled biomarkers non-linearly in the cognitively impaired groups as a function of time since symptom onset.

RESULTS

Each biomarker was higher across stages of cognitive impairment, characterized by clinical diagnosis and Mini-Mental State Examination performance, but these associations were not influenced by a history of TBI. However, modelling biomarkers in relation to duration of cognitive symptoms for ADRD showed differences by history of TBI, with only GFAP and UCHL1 being elevated.

CONCLUSIONS

Serum GFAP, NFL, T-tau, and UCHL1 were higher across stages of cognitive impairment in this diverse clinical cohort, regardless of TBI history, though longitudinal investigation of the timing, order, and trajectory of the biomarkers in relation to prior TBI is warranted.

End of Life Events and Causes of Death in Danish Long-Lived Siblings: Reduced Dementia Risk Compared to Sporadic Long-Livers

Background

Better physical robustness and resilience of long-lived siblings compared to sporadic long-livers has been demonstrated in several studies. However, it is unknown whether long-lived siblings also end their lives better.

Objective

To investigate end-of-life (EoL) events (dementia diagnosis, medication, hospitalizations in the last 5 years of life), causes of death, and location of death in long-lived siblings compared to matched sporadic long-livers from the Danish population.

Methods

Long-lived siblings were identified through three nationwide Danish studies in which the inclusion criteria varied, but 99.5% of the families had at least two siblings surviving to age 90 + . Those who died between 2006 and 2018 were included, and randomly matched with sex, year-of-birth and age-at-death controls (i.e., sporadic long-lived controls) from the Danish population.

Results

A total of 5,262 long-lived individuals were included (1,754 long-lived siblings, 3,508 controls; 63% women; median age at death 96.1). Long-lived siblings had a significantly lower risk of being diagnosed with dementia in the last years of life (p = 0.027). There was no significant difference regarding the number of prescribed drugs, hospital stays, days in hospital, and location of death. Compared to controls, long-lived siblings presented a lower risk of dying from dementia (p = 0.020) and ill-defined conditions (p = 0.030).

Conclusions

In many aspects long-lived siblings end their lives similar to sporadic long-livers, with the important exception of lower dementia risk during the last 5 years of life. These results suggest that long-lived siblings are excellent candidates for identifying environmental and genetic protective factors of dementia.

Association Between Dementia, Change in Home-Care Use, and Depressive Symptoms During the COVID-19 Pandemic: A Longitudinal Study Using Data from Three Cohort Studies

Background

The emotional impact of the coronavirus disease 2019 (COVID-19) pandemic on people with dementia has been quantified. However, little is known about the impact of change in home-care use owing to the pandemic.

Objective

To determine the longitudinal association between dementia, change in home-care use, and depressive symptoms during the pandemic.

Methods

We included data of 43,782 home-dwelling older adults from the English Longitudinal Study of Ageing (ELSA), Study of Health, Ageing and Retirement in Europe (SHARE), and National Health and Aging Trends Study (NHATS). This study considered the latest main wave survey prior to the pandemic as the baseline, and the COVID-19 survey as follow-up. In a series of coordinated analyses, multilevel binomial logistic regression model was used to examine the association between baseline dementia, change in home-care use at follow-up, and presence of depressive symptoms.

Results

Dementia, using the ELSA, SHARE, and NHATS datasets, was identified in 2.9%, 2.3%, and 6.5% of older adults, and home-care use reduced in 1.7%, 2.8%, and 1.1% of individuals with dementia, respectively. Dementia was significantly associated with the increased risk of depressive symptoms in all three cohorts. However, the interaction between dementia and period (follow-up) was non-significant in SHARE and NHATS. Across all three cohorts, home-care use during the pandemic, regardless of change in amount, was significantly associated with increased depressive symptoms, compared to the non-use of home care.

Conclusions

These results highlight the need for tailoring dementia care at home to promote independence and provide sustainable emotional support.

Prevalence and Determinants of Diagnosed Dementia: A Registry Linkage Study Linking Diagnosis of Dementia in the Population-Based HUNT Study to Registry Diagnosis of Dementia in Primary Care and Hospitals in Norway

Background

A timely diagnosis of dementia can be beneficial for providing good support, treatment, and care, but the diagnostic rate remains unknown and is probably low.

Objective

To determine the dementia diagnostic rate and to describe factors associated with diagnosed dementia.

Methods

This registry linkage study linked information on research-based study diagnoses of all-cause dementia and subtypes of dementias, Alzheimer's disease, and related dementias, in 1,525 participants from a cross-sectional population-based study (HUNT4 70+) to dementia registry diagnoses in both primary-care and hospital registries. Factors associated with dementia were analyzed with multiple logistic regression.

Results

Among those with research-based dementia study diagnoses in HUNT4 70+, 35.6% had a dementia registry diagnosis in the health registries. The diagnostic rate in registry diagnoses was 19.8% among home-dwellers and 66.0% among nursing home residents. Of those with a study diagnosis of Alzheimer's disease, 35.8% (95% confidence interval (CI) 32.6-39.0) had a registry diagnosis; for those with a study diagnosis of vascular dementia, the rate was 25.8% (95% CI 19.2-33.3) and for Lewy body dementias and frontotemporal dementia, the diagnosis rate was 63.0% (95% CI 48.7-75.7) and 60.0% (95% CI 43.3-75.1), respectively. Factors associated with having a registry diagnosis included dementia in the family, not being in the youngest or oldest age group, higher education, more severe cognitive decline, and greater need for help with activities of daily living.

Conclusions

Undiagnosed dementia is common, as only one-third of those with dementia are diagnosed. Diagnoses appear to be made at a late stage of dementia.

Comparison of the diagnostic accuracy of resting-state fMRI driven machine learning algorithms in the detection of mild cognitive impairment

Mild cognitive impairment (MCI) is a potential therapeutic window in the prevention of dementia; however, automated detection of early cognitive deterioration is an unresolved issue. The aim of our study was to compare various classification approaches to differentiate MCI patients from healthy controls, based on rs-fMRI data, using machine learning (ML) algorithms. Own dataset (from two centers) and ADNI database were used during the analysis. Three fMRI parameters were applied in five feature selection algorithms: local correlation, intrinsic connectivity, and fractional amplitude of low frequency fluctuations. Support vector machine (SVM) and random forest (RF) methods were applied for classification. We achieved a relatively wide range of 78-87% accuracy for the various feature selection methods with SVM combining the three rs-fMRI parameters. In the ADNI datasets case we can also see even 90% accuracy scores. RF provided a more harmonized result among the feature selection algorithms in both datasets with 80-84% accuracy for our local and 74-82% for the ADNI database. Despite some lower performance metrics of some algorithms, most of the results were positive and could be seen in two unrelated datasets which increase the validity of our methods. Our results highlight the potential of ML-based fMRI applications for automated diagnostic techniques to recognize MCI patients.

Association between perceived risk of Alzheimer's disease and related dementias and cognitive function among U.S. older adults

INTRODUCTION

The aim of the study was to assess factors associated with the perceived risk of developing Alzheimer's disease and related dementias (ADRD) and how the perceived risk of ADRD was related to cognitive function.

METHODS

We conducted a retrospective cohort study using 5 waves of data from the Health and Retirement Study (2012-2022) that included adults aged 65 years or older with no previous diagnosis of ADRD at baseline. Cognitive function was measured at baseline and over time using a summary score that included immediate/delayed word recall, serial 7's test, objective naming test, backwards counting, recall of the current date, and naming the president/vice-president (range = 0-35). Perceived risk of developing ADRD was categorized at baseline as "definitely not" (0% probability), "unlikely" (1-49%), "uncertain" (50%), and "more than likely" (>50-100%). Additional baseline measures included participants' sociodemographic background, psychosocial resources, health behaviors, physiological status, and healthcare utilization.

RESULTS

Of 1457 respondents (median age 74 [IQR = 69-80] and 59.8% women), individuals who perceived that they were "more than likely" to develop ADRD had more depressive symptoms and were more likely to be hospitalized in the past two years than individuals who indicated that it was "unlikely" they would develop ADRD. Alternatively, respondnets who perceived that they would "definitely not" develop ADRD were more likely to be non-Hispanic Black, less educated, and have lower income than individuals who indicated it was "unlikely" they would develop ADRD. Respondents who reported their risks of developing ADRD as "more than likely" (β = -2.10, P < 0.001) and "definitely not" (β = -1.50, P < 0.001) had the lowest levels of cognitive function; and the associations were explained in part by their socioeconomic, psychosocial, and health status.

CONCLUSIONS

Perceived risk of developing ADRD is associated with cognitive function. The (dis)concordance between individuals' perceived risk of ADRD and their cognitive function has important implications for increasing public awareness and developing interventions to prevent ADRD.

Age-Friendly Health Systems: Delivering evidence-based care to older adults

ABSTRACT

This article discusses the Age-Friendly Health Systems (AFHS) initiative, which aims to provide safe and effective care for older adults by focusing on the 4Ms framework: What Matters, Medication, Mentation, and Mobility. This article also outlines strategies for educating nurses on incorporating the AFHS initiative into their routine care and the potential impact on nursing care for older adults.

Inflammatory markers in persons with clinically-significant depression, anxiety or PTSD: A systematic review and meta-analysis

BACKGROUND

Depression, anxiety and PTSD appear to be risk factors for dementia, but it is unclear whether they are causal or prodromal. The inflammatory-mediated neurodegeneration hypothesis suggests a causal link, proposing that mental illness is associated with an inflammatory response which, in turn, triggers neurodegenerative changes that lead to dementia. Existing meta-analyses have yet to examine inflammatory markers in depression, anxiety or PTSD with the view to exploring the inflammatory-mediated neurodegeneration hypothesis. The current meta-analysis therefore examined whether: a) depression, anxiety and PTSD are individually associated with inflammation, independently of comorbid mental illnesses and physical health problems with known inflammatory responses, and b) there are any similarities in the inflammatory profiles of these disorders in order to provide a basis for exploring inflammation in people with dementia who have a history of clinically-significant anxiety, depression or PTSD.

METHODS

PubMed, EMBASE, PsycINFO and CINAHL searches identified 64 eligible studies.

RESULTS

Depression is associated with an inflammatory response, with tentative evidence to suggest anxiety and PTSD are also associated with inflammation. However, the specific response may differ across these disorders.

LIMITATIONS

The data for anxiety, PTSD and multiple inflammatory markers were limited.

CONCLUSIONS

Depression, anxiety, and PTSD each appear to be associated with an inflammatory response in persons who do not have comorbid mental or physical health problems that are known to be associated with inflammation. Whether this inflammatory response underlies the increased risk of dementia in persons with a history of depression and anxiety, and possibly PTSD, remains to be determined.

Endogenous and Exogenous Thyrotoxicosis and Risk of Incident Cognitive Disorders in Older Adults

Importance

Thyroid hormone is among the most common prescriptions in the US and up to 20% may be overtreated. Endogenous hyperthyroidism may be a risk factor for dementia, but data are limited for iatrogenic thyrotoxicosis.

Objective

To determine whether thyrotoxicosis, both endogenous and exogenous, is associated with increased risk of cognitive disorders.

Design, Setting, and Participants

This cohort study performed a longitudinal time-varying analysis of electronic health records for patients receiving primary care in the Johns Hopkins Community Physicians Network between January 1, 2014, and May 6, 2023. Patients 65 years and older with at least 2 visits 30 days apart to their primary care physicians were eligible. None of the 65 931 included patients had a history of low thyrotropin (TSH) level or cognitive disorder diagnoses within 6 months of their first visit. Data analysis was performed from January 1 through August 5, 2023.

Exposure

The exposure variable was a low TSH level, characterized based on the clinical context as due to endogenous thyrotoxicosis, exogenous thyrotoxicosis, or unknown cause, excluding those attributable to acute illness or other medical factors such as medications.

Main Outcomes and Measures

The outcome measure was cognitive disorders, including mild cognitive impairment and all-cause dementia, to improve sensitivity and account for the underdiagnosis of dementia in primary care.

Results

A total of 65 931 patients were included in the analysis (median [IQR] age at first visit, 68.0 [65.0-74.0] years; 37 208 [56%] were female; 46 106 [69.9%] were White). Patients exposed to thyrotoxicosis had cognitive disorder incidence of 11.0% (95% CI, 8.4%-14.2%) by age 75 years vs 6.4% (95% CI, 6.0%-6.8%) for those not exposed. After adjustment, all-cause thyrotoxicosis was significantly associated with risk of cognitive disorder diagnosis (adjusted hazard ratio, 1.39; 95% CI, 1.18-1.64; P < .001) across age groups. When stratified by cause and severity, exogenous thyrotoxicosis remained a significant risk factor (adjusted hazard ratio, 1.34; 95% CI, 1.10-1.63; P = .003) with point estimates suggestive of a dose response.

Conclusions and Relevance

In this cohort study among patients 65 years and older, a low TSH level from either endogenous or exogenous thyrotoxicosis was associated with higher risk of incident cognitive disorder. Iatrogenic thyrotoxicosis is a common result of thyroid hormone therapy. With thyroid hormone among the most common prescriptions in the US, understanding the negative effects of overtreatment is critical to help guide prescribing practice.

Use of the patient portal among older adults with diagnosed dementia and their care partners

INTRODUCTION

Care partners are at the forefront of dementia care, yet little is known about patient portal use in the context of dementia diagnosis.

METHODS

We conducted an observational cohort study of date/time-stamped patient portal use for a 5-year period (October 3, 2017-October 2, 2022) at an academic health system. The cohort consisted of 3170 patients ages 65+ with diagnosed dementia with 2+ visits within 24 months. Message authorship was determined by manual review of 970 threads involving 3065 messages for 279 patients.

RESULTS

Most (71.20%) older adults with diagnosed dementia were registered portal users but far fewer (10.41%) had a registered care partner with shared access. Care partners authored most (612/970, 63.09%) message threads, overwhelmingly using patient identity credentials (271/279, 97.13%).

DISCUSSION

The patient portal is used by persons with dementia and their care partners. Organizational efforts that facilitate shared access may benefit the support of persons with dementia and their care partners. Highlights Patient portal registration and use has been increasing among persons with diagnosed dementia. Two thirds of secure messages from portal accounts of patients with diagnosed dementia were identified as being authored by care partners, primarily using patient login credentials. Care partners who accessed the patient portal using their own identity credentials through shared access demonstrate similar levels of activity to patients without dementia. Organizational initiatives should recognize and support the needs of persons with dementia and their care partners by encouraging awareness, registration, and use of proper identity credentials, including shared, or proxy, portal access.

Heterogeneity in Measures and Rates of Reported Dementia and Subjective Memory Complaints Across U.S. National Surveys

OBJECTIVES

Several U.S. health surveillance surveys contain items related to self- and proxy reports of dementia and subjective memory complaints (SMC). Despite their similar content, these items differ in terminology, item specificity, and time frame. The goal of this study was to analyze whether item features might influence endorsement rates for dementia and SMC.

METHODS

We calculated design-appropriate estimates for the endorsement of dementia and SMC across U.S.-based national surveys and employed pairwise comparisons to evaluate endorsement rates across surveys. We also examined item characteristics to explore possible effects on endorsement rates.

RESULTS

Endorsement rates were wide-ranging for dementia (ranging from 2.7% to 9.9%) and SMC (5.6% to 46.6%). Pairwise comparisons revealed statistically significant differences on most dementia-related items (76%), and all SMC comparisons (100%). Items varied substantially in the terminology used to assess dementia and SMC (e.g., "dementia" vs "Alzheimer's disease") and used different time frames (e.g., "past month" vs "5 years").

DISCUSSION

National survey data on reported dementia and SMC can have important research, training, and policy implications, yet endorsement rates vary widely across surveys. That variability could emerge from subtle but influential item characteristics, and our findings highlight the need for item harmonization, in even their most basic characteristics. Standardizing items across national surveillance surveys facilitates comparison across surveys so that we can better understand the true burden of these conditions to inform public health initiatives.

Understanding barriers to and facilitators of clinician-patient conversations about brain health and cognitive concerns in primary care: a systematic review and practical considerations for the clinician

BACKGROUND

Primary care clinicians (PCCs) are typically the first practitioners to detect cognitive impairment in their patients, including those with Alzheimer's disease or related dementias (ADRD). However, conversations around cognitive changes can be challenging for patients, family members, and clinicians to initiate, with all groups reporting barriers to open dialogue. With the expanding array of evidence-based interventions for ADRD, from multidomain care management to novel biotherapeutics for early-stage AD, incorporating conversations about brain health into routine healthcare should become a standard of care. We conducted a systematic review to identify barriers to and facilitators of brain health conversations in primary care settings.

METHODS

We systematically searched PubMed, Scopus, Web of Science, and the Cochrane Library for qualitative or quantitative studies conducted in the US between January 2000 and October 2022 that evaluated perceptions of cognition and provider-patient brain health conversations prior to formal screening for, or diagnosis of, mild cognitive impairment or ADRD. We assessed the quality of the included studies using the Mixed Methods Appraisal Tool.

RESULTS

In total, 5547 unique abstracts were screened and 22 articles describing 19 studies were included. The studies explored perceptions of cognition among laypersons or clinicians, or provider-patient interactions in the context of a patient's cognitive concerns. We identified 4 main themes: (1) PCCs are hesitant to discuss brain health and cognitive concerns; (2) patients are hesitant to raise cognitive concerns; (3) evidence to guide clinicians in developing treatment plans that address cognitive decline is often poorly communicated; and (4) social and cultural context influence perceptions of brain health and cognition, and therefore affect clinical engagement.

CONCLUSIONS

Early conversations about brain health between PCCs and their patients are rare, and effective tools, processes, and strategies are needed to make these vital conversations routine.

Impact of Dementia on Incidence and Severity of Postoperative Pulmonary Complications Following Hip Fracture Surgery Among Older Patients

Postoperative pulmonary complications (PPCs) are the leading cause of death following hip fracture surgery. Dementia has been identified as a PPC risk factor that complicates the clinical course. By leveraging electronic health records, this retrospective observational study evaluated the impact of dementia on the incidence and severity of PPCs, hospital length of stay, and postoperative 30-day mortality among 875 older patients (≥65 years) who underwent hip fracture surgery between October 1, 2015 and December 31, 2018 at a health system in the southeastern United States. Inverse probability of treatment weighting using propensity scores was utilized to balance confounders between patients with and without dementia to isolate the impact of dementia on PPCs. Regression analyses revealed that dementia did not have a statistically significant impact on the incidence and severity of PPCs or postoperative 30-day mortality. However, dementia significantly extended the hospital length of stay by an average of 1.37 days.

Exploring the Needs and Requirements of Informal Caregivers of Older Adults With Cognitive Impairment From Sensor-Based Care Solutions: Multimethod Study

BACKGROUND

With the increase in the older adult population, sensor-based care solutions that can monitor the deviations in physical, emotional, and physiological activities in real-time from a distance are demanded for prolonging the stay of community-dwelling older adults with cognitive impairment. To effectively develop and implement these care solutions, it is important to understand the current experiences, future expectations, perceived usefulness (PU), and communication needs of the informal caregivers of older adults with cognitive impairment regarding such solutions.

OBJECTIVE

This comprehensive study with informal caregivers of older adults with cognitive impairment aims to (1) highlight current experiences with (if any) and future expectations from general sensor-based care solutions, (2) explore PU specifically toward unobtrusive sensing solutions (USSs), (3) determine the information communication (IC) needs and requirements for communicating the information obtained through USSs in different care scenarios (fall, nocturnal unrest, agitation, and normal daily life), and (4) elicit the design features for designing the interaction platform in accordance with the persuasive system design (PSD) model.

METHODS

A multimethod research approach encompassing a survey (N=464) and in-depth interviews (10/464, 2.2%) with informal caregivers of older adults with cognitive impairment was used. The insights into past experiences with and future expectations from the sensor-based care solutions were obtained through inductive thematic analysis of the interviews. A convergent mixed methods approach was used to explore PU and gather the IC needs from USSs by using scenario-specific questions in both survey and interviews. Finally, the design features were elicited by using the PSD model on the obtained IC needs and requirements.

RESULTS

Informal caregivers expect care infrastructure to consider centralized and empathetic care approaches. Specifically, sensor-based care solutions should be adaptable to care needs, demonstrate trust and reliability, and ensure privacy and safety. Most informal caregivers found USSs to be useful for emergencies (mean 4.09, SD 0.04) rather than for monitoring normal daily life activities (mean 3.50, SD 0.04). Moreover, they display variations in information needs including mode, content, time, and stakeholders involved based on the care scenario at hand. Finally, PSD features, namely, reduction, tailoring, personalization, reminders, suggestions, trustworthiness, and social learning, were identified for various care scenarios.

CONCLUSIONS

From the obtained results, it can be concluded that the care scenario at hand drives PU and IC design needs and requirements toward USSs. Therefore, future technology developers are recommended to develop technology that can be easily adapted to diverse care scenarios, whereas designers of such sensor-driven platforms are encouraged to go beyond tailoring and strive for strong personalization while maintaining the privacy of the users.

Suspected Undiagnosed ADRD Among Middle Eastern and North African Americans

ADRD underdiagnosis among minority populations is well-established and known to be more prevalent among women. Yet, it remains unclear if these patterns exist among adults of Middle Eastern and North African (MENA) descent. We estimated ADRD underdiagnosis among adults of MENA descent and other US- and foreign-born non-Hispanic Whites and compared sex-stratified results. We linked 2000-2017 National Health Interview Survey and 2001-2018 Medical Expenditure Panel Survey data (ages > = 65 years, n = 23,981). Undiagnosed ADRD was suspected if participants reported cognitive limitations without corresponding ADRD diagnosis. Undiagnosed ADRD was highest among adults of MENA descent (15.8%) compared to non-Hispanic Whites (US-born = 8.1%; foreign-born = 11.8%). Women of MENA descent had 2.52 times greater odds (95% CI = 1.31-4.84) of undiagnosed ADRD compared to US-born White women after adjusting for risk factors. This study contributes the first national estimates of undiagnosed ADRD among adults of MENA descent. Continued research is needed to facilitate policy changes that more comprehensively address health disparities and related resource allocation.

Utility of the Healthy Aging Brain Care Monitor as a Patient-Reported Symptom Monitoring Tool in Older Injury Survivors

INTRODUCTION

The objective of this study was to evaluate the performance of the Healthy Aging Brain Care Monitor (HABC-M) as a patient-reported outcome tool to measure cognitive, functional, and psychological symptoms among older adults who sustained non-neurologic injuries requiring hospital admission.

METHODS

We used data from a multicenter randomized controlled trial to evaluate the utility of the HABC-M Self-Report version in older patients recovering from traumatic injuries. A total of 143 patients without cognitive impairment were included in the analysis. Cronbach's alpha was used to measure the internal consistency, and Spearman's rank correlation test was used to evaluate the relationship of the HABC-M with standard measures of cognitive, functional, and psychological outcomes.

RESULTS

The HABC-M subscales and the total scale showed satisfactory internal consistency (Cronbach's alpha = 0.64 to 0.77). The HABC-M cognitive subscale did not correlate with the Mini-Mental State Examination. The HABC-M functional and psychological subscales correlated with corresponding standard reference measures (|rs| = 0.24-0.59).

CONCLUSIONS

The HABC-M Self-Report version is a practical alternative to administering multiple surveys to monitor functional and psychological sequelae in older patients recovering from recent non-neurologic injuries. Its clinical application may facilitate personalized, multidisciplinary care coordination among older trauma survivors without cognitive impairment.

STAR-Caregivers Virtual Training and Follow-up: a cultural adaptation for Latino caregivers of people with dementia

STAR-Caregivers Virtual Training and Follow-up (STAR-VTF) is an evidence-based intervention that teaches family caregivers how to manage behavioral and psychological symptoms of dementia. The study objective was to identify what adaptations to STAR-VTF are needed to improve cultural relevance for Latino caregivers. A qualitative research study was conducted that interviewed Spanish- and English-speaking caregivers of people with dementia who self-identify as Hispanic/Latino (N = 30) and healthcare and social service providers of older Latino clients and/or Latino family caregivers (N = 14). Thematic analysis methods were applied to code and analyze interview transcripts. The codebook was theory-driven, relying mainly on codes that directly represented components of the Cultural Treatment Adaptation Framework. Based on the content of the excerpts, the codes were sorted into themes that represented opportunities to culturally adapt STAR-VTF. Three themes were identified: (i) there was a need to increase awareness about dementia and decrease stigma; (ii) semantics mattered as certain words and phrases could be stigmatizing, offensive, or culturally inappropriate; and (iii) there was a need to incorporate into program materials the traditional family structure and nature of caregiving in Latino families. Based on findings, adaptations were performed on STAR-VTF that included expanding content to improve understanding of dementia, revising language that was viewed as problematic, and adding cultural examples to reflect the range of family involvement in caring for people living with dementia and multigenerational living. Findings from this qualitative research study advance understanding of the Latino caregiver experience and how to modify programs to better serve their needs.

The epidemiology of mild cognitive impairment, Alzheimer's disease and related dementia in U.S. veterans

INTRODUCTION

US veterans have a unique dementia risk profile that may be evolving over time.

METHODS

Age-standardized incidence and prevalence of Alzheimer's disease (AD), AD and related dementias (ADRD), and mild cognitive impairment (MCI) was estimated from electronic health records (EHR) data for all veterans aged 50 years and older receiving Veterans Health Administration (VHA) care from 2000 to 2019.

RESULTS

The annual prevalence and incidence of AD declined, as did ADRD incidence. ADRD prevalence increased from 1.07% in 2000 to 1.50% in 2019, primarily due to an increase in the prevalence of dementia not otherwise specified. The prevalence and incidence of MCI increased sharply, especially after 2010. The prevalence and incidence of AD, ADRD, and MCI were highest in the oldest veterans, in female veterans, and in African American and Hispanic veterans.

DISCUSSION

We observed 20-year trends of declining prevalence and incidence of AD, increasing prevalence of ADRD, and sharply increasing prevalence and incidence of MCI.

Comparing Dementia Classification by Self-Report and Administrative Records in the National Core Indicators-Aging and Disability Survey: A Predictive Modeling Approach

Policymakers are interested in the long-term services and supports (LTSS) needs of people living with dementia. The National Core Indicators-Aging and Disability (NCI-AD) survey is conducted to evaluate LTSS care needs. However, dementia reporting in NCI-AD varies across states, and is either obtained from state administrative records or self-reported during the survey. We explored the implications of identifying dementia from administrative records versus self-report. We analyzed 24,569 NCI-AD respondents age 65+, of which 22.4% had dementia. To assess dementia accuracy by data source, we fit separate logistic regression models using the administrative and self-reported subsamples. We applied model coefficients to the population whose dementia status came from the opposite source. Using the administrative model to predict self-reported dementia resulted in higher sensitivity than using the self-report model to predict administrative dementia (43.8% vs. 37.9%). The self-report model's diminished sensitivity suggests administrative records may capture cases of dementia missed by self-report.