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

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.

Are Geriatrics-Focused Primary Care Clinics Better at Diagnosing Dementia Than Traditional Clinics? A Matched Cohort Study

BACKGROUND

Dementia and mild cognitive impairment (MCI) are prevalent but underdiagnosed.

OBJECTIVE

To compare new dementia/MCI diagnosis rates in geriatrics-focused primary care clinics and traditional primary care clinics.

DESIGN

Secondary analysis of a prospective matched cohort study that spanned 2017-2021.

PARTICIPANTS

Community-dwelling Veterans over 65 receiving primary care in a geriatrics-focused medical home (GeriPACT) or traditional primary care home (PACT) at one of 57 Veterans Affairs sites. We excluded individuals with a documented diagnosis of dementia or MCI in the year prior to enrollment.

MAIN MEASURES

Diagnoses obtained from EHR. Cognitive status was assessed using modified Telephone Interview for Cognitive Status (mTICS) tool.

KEY RESULTS

The 470 participants included in this analysis were predominantly white, non-Hispanic males with an average age of 80.3 years. 9.4% of participants received a diagnosis of dementia/MCI after 24 months: 11.5% in GeriPACT and 7.2% in PACT. Adjusted OR for dementia/MCI diagnosis based on GeriPACT exposure was 1.47 (95% CI 0.65-3.29). Low mTICS score (≤ 27) (OR 4.89, 95% CI 2.36-10.13) and marital status (married/partnered) (OR 1.89, CI 0.99-3.59) were independent predictors of dementia/MCI diagnosis. When stratified by cognitive status: diagnosis rates were 20.8% in GeriPACT and 16.7% in PACT among those who scored lower on the cognitive assessment (mTICS ≤ 27); 7.4% in GeriPACT and 3.6% in PACT among those who scored higher (mTICS > 27). The OR for new dementia/MCI diagnosis in GeriPACT was 1.19 (95% CI 0.49-2.91) among those with a low mTICS score and 1.85 (95% CI 0.70-4.88) among those with a higher mTICS score.

CONCLUSIONS

Observed rates of new dementia/MCI diagnosis were higher in GeriPACT, but with considerable uncertainty around estimates. Geriatrics-focused primary care clinics may be a promising avenue for improving the detection of dementia in older adults, but further larger studies are needed to confirm this relationship.

Prevalence of treated patients with Alzheimer's disease: current trends and COVID-19 impact

BACKGROUND

There are few updated studies on the prevalence and management of Alzheimer's disease (AD), which could be underdiagnosed or undertreated. The COVID-19 pandemic may have worsened the deficiencies in the diagnosis and treatment of these patients. Electronic medical records (EMR) offer an opportunity to assess the impact and management of medical processes and contingencies in the population.

OBJECTIVE

To estimate AD prevalence in Spain over a 6-year period, based on treated patients, according to usual clinical practice. Additionally, to describe the management of AD-treated patients and the evolution of that treatment during the 2020 COVID-19 pandemic.

METHODS

Retrospective study using the Spanish IQVIA EMR database. Patients treated with donepezil, galantamine, rivastigmine, and/or memantine were included in the study. Annual AD prevalence (2015-2020) was estimated and extrapolated to the national population level. Most frequent treatments and involved specialties were described. To assess the effect of COVID-19, the incidence of new AD cases in 2020 was calculated and compared with newly diagnosed cases in 2019.

RESULTS

Crude AD prevalence (2015-2020) was estimated at 760.5 per 100,000 inhabitants, and age-standardized prevalence (2020) was 664.6 (male 595.7, female 711.0). Monotherapy was the most frequent way to treat AD (86.2%), in comparison with dual therapy (13.8%); rivastigmine was the most prescribed treatment (37.3%), followed by memantine (36.4%) and donepezil (33.0%). Rivastigmine was also the most utilized medication in newly treated patients (46.7%), followed by donepezil (29.8%), although donepezil persistence was longer (22.5 vs. 20.6 months). Overall, donepezil 10 mg, rivastigmine 9.5 mg, and memantine 20 mg were the most prescribed presentations. The incidence rate of AD decreased from 148.1/100,000 (95% confidence interval [CI] 147.0-149.2) in 2019 to 118.4/100,000 (95% CI 117.5-119.4) in 2020.

CONCLUSIONS

The obtained prevalence of AD-treated patients was consistent with previous face-to-face studies. In contrast with previous studies, rivastigmine, rather than donepezil, was the most frequent treatment. A decrease in the incidence of AD-treated patients was observed during 2020 in comparison with 2019, presumably due to the significant impact of the COVID-19 pandemic on both diagnosis and treatment. EMR databases emerge as valuable tools to monitor in real time the incidence and management of medical conditions in the population, as well as to assess the health impact of global contingencies and interventions.

Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019

BACKGROUND

Data supporting dementia as a risk factor for coronavirus disease 2019 (COVID-19) mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable dementia lack a formal diagnosis. Dementia coding is not well established for people with HIV (PWH), and its reliance may affect risk assessment.

METHODS

This retrospective cohort analysis of PWH with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PCR positivity includes comparisons to people without HIV (PWoH), matched by age, sex, race, and zipcode. Primary exposures were dementia diagnosis, by International Classification of Diseases (ICD)-10 codes, and cognitive concerns, defined as possible cognitive impairment up to 12 months before COVID-19 diagnosis after clinical review of notes from the electronic health record. Logistic regression models assessed the effect of dementia and cognitive concerns on odds of death [odds ratio (OR); 95% CI (95% confidence interval)]; models adjusted for VACS Index 2.0.

RESULTS

Sixty-four PWH were identified out of 14 129 patients with SARS-CoV-2 infection and matched to 463 PWoH. Compared with PWoH, PWH had a higher prevalence of dementia (15.6% vs. 6%, P  = 0.01) and cognitive concerns (21.9% vs. 15.8%, P  = 0.04). Death was more frequent in PWH ( P  < 0.01). Adjusted for VACS Index 2.0, dementia [2.4 (1.0-5.8), P  = 0.05] and cognitive concerns [2.4 (1.1-5.3), P  = 0.03] were associated with increased odds of death. In PWH, the association between cognitive concern and death trended towards statistical significance [3.92 (0.81-20.19), P  = 0.09]; there was no association with dementia.

CONCLUSION

Cognitive status assessments are important for care in COVID-19, especially among PWH. Larger studies should validate findings and determine long-term COVID-19 consequences in PWH with preexisting cognitive deficits.

Promise and peril of claims-based dementia ascertainment in causal inference

Festa and colleagues highlight underrecognized factors that may bias research, policy, and population health strategies predicated upon claims-based ascertainment of Alzheimer’s Disease and Related Dementias within the United States.

Disaggregating the dementia monolith: An analysis of variation in Medicare costs and use by dementia subtype

IMPORTANCE

With an aging population, it is necessary to systematically examine variation in costs and use of Medicare services by dementia subtype. We provide the first national estimates for dementia by subtype, and the respective Medicare costs and use.

METHODS

We analyzed Medicare fee-for-service (FFS) claims from 2017 through 2019. The sample included 41 million beneficiaries: 727,700 beneficiaries with a new dementia diagnosis in 2017. We calculated descriptive statistics and conducted generalized linear regression models by subtype of dementia.

RESULTS

Annual Medicare costs for beneficiaries with dementia ranged from $22,840 for frontotemporal dementia to $44,896 for vascular dementia compared to $9,034 for beneficiaries without dementia. Comparing beneficiaries across dementia subtypes, the greatest differences were in the use of home health and hospice care.

CONCLUSIONS

These analyses demonstrate substantial heterogeneity across dementia subtypes, which will be important in developing models of care that improve value for people with dementia.

Cognition and Mortality Risk Among Midlife and Older Americans

BACKGROUND

Cognitive impairment is associated with increased mortality rates in late life, but it is unclear whether worse cognition predicts working-age mortality.

METHODS

The data come from a U.S. national survey (N = 3 973 aged 32-84 at cognitive testing in 2004-06, mean age 56.6, 56.3% female; N = 3 055 retested in 2013-18 at ages 42-94, mean age 64.6, 56.6% female; mortality follow-up through 2019). We use Cox hazard models to investigate whether cognition is associated with mortality below age 65, how the magnitude of this risk compares with the risk in later life, and whether the association persists after adjusting for potential confounders.

RESULTS

Worse cognition is associated with mortality, but the demographic-adjusted hazard ratio (HR) diminishes with age from 2.0 per standard deviation (SD; 95% confidence interval [CI], 1.7-2.4) at age 55-1.4 (95% CI, 1.3-1.6) at age 85. In the fully adjusted model, the corresponding HRs are 1.4 (95% CI, 1.2-1.7) and 1.3 (95% CI, 1.1-1.4), respectively. The absolute differences in mortality by level of cognition, however, are larger at older ages because mortality is rare at younger ages. The fully adjusted model implies a 2.7 percentage point differential in the estimated percentage dying between ages 55 and 65 for those with low cognition (1 SD below the overall mean, 5.7%) versus high cognition (1 SD above the mean, 3.0%). The corresponding differential between ages 75 and 85 is 8.4 percentage points (24.6% vs 16.2%, respectively).

CONCLUSIONS

Cognitive function may be a valuable early warning sign of premature mortality, even at working ages, when dementia is rare.

Validation of Self-Reported Cancer Diagnoses by Respondent Cognitive Status in the U.S. Health and Retirement Study

BACKGROUND

Cancer and dementia are becoming increasingly common co-occurring conditions among older adults. Yet, the influence of participant cognitive status on the validity of self-reported data among older adults in population-based cohorts is unknown. We thus compared self-reported cancer diagnoses in the U.S. Health and Retirement Study (HRS) against claims from linked Medicare records to ascertain the validity of self-reported diagnoses by participant cognitive and proxy interview status.

METHODS

Using data from HRS participants aged ≥67 who had at least 90% continuous enrollment in fee-for-service Medicare, we examined the validity of self-reported first incident cancer diagnoses from biennial HRS interviews against diagnostic claim records in linked Medicare data (reference standard) for interviews from 2000 to 2016. Cognitive status was classified as normal, cognitive impairment no dementia (CIND), or dementia using the Langa-Weir method. We calculated the sensitivity, specificity, and κ for cancer diagnosis.

RESULTS

Of the 8 280 included participants, 23.6% had cognitive impairment without dementia (CIND) or dementia, and 10.7% had a proxy respondent due to an impairment. Self-reports of first incident cancer diagnoses for participants with normal cognition had 70.2% sensitivity and 99.8% specificity (κ = 0.79). Sensitivity declined substantially with cognitive impairment and proxy response (56.7% for CIND, 53.0% for dementia, 60.0% for proxy respondents), indicating poor validity for study participants with CIND, dementia, or a proxy respondent.

CONCLUSIONS

Self-reported cancer diagnoses in the U.S. HRS have poor validity for participants with cognitive impairment, dementia, or a proxy respondent. Population-based cancer research among older adults will be strengthened with linkage to Medicare claims.

Nursing Practice Variations in Pain Management in Older Adults With Dementia Admitted to an Acute Geriatrics Unit During the COVID-19 Pandemic

The current retrospective descriptive study evaluated nursing practice variations on pain management in older adults with dementia admitted to an acute geriatrics unit (AGU) before (2018) and during (2021) the coronavirus disease 2019 (COVID-19) pandemic. Data were gathered from electronic health records. Pain intensity was evaluated a median of 1.9 times per day of stay in the pre-COVID-19 sample, whereas in the COVID-19 sample, the median was 0.7 times per day of stay. Median number of analgesic administrations per day of stay and mean percentage of clinical care records that mentioned pain were higher in patients admitted during the pandemic. Variations in nursing care organization in the AGU due to the COVID-19 pandemic had an impact on the patterns of pain management nursing practice in older adults with dementia. [Research in Gerontological Nursing, 16(4), 173-182.].

Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study measures wealth-related inequalities in physical and cognitive impairments and examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data on non-institutionalized individuals aged 50-75 from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 31,969 for physical impairments and 31,348 for cognitive impairments). Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. We applied a concentration index to quantify the degree of wealth inequalities in impairments. The findings indicate that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied by country. Furthermore, a higher share of public health spending, lower out-of-pocket expenditure, and higher investment in healthcare resources were associated with lower wealth inequalities, especially for physical impairments. Our findings suggest that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Reading and lexical-semantic retrieval tasks outperforms single task speech analysis in the screening of mild cognitive impairment and Alzheimer's disease

Age-related cognitive impairment have increased dramatically in recent years, which has risen the interes in developing screening tools for mild cognitive impairment and Alzheimer's disease. Speech analysis allows to exploit the behavioral consequences of cognitive deficits on the patient's vocal performance so that it is possible to identify pathologies affecting speech production such as dementia. Previous studies have further shown that the speech task used determines how the speech parameters are altered. We aim to combine the impairments in several speech production tasks in order to improve the accuracy of screening through speech analysis. The sample consists of 72 participants divided into three equal groups of healthy older adults, people with mild cognitive impairment, or Alzheimer's disease, matched by age and education. A complete neuropsychological assessment and two voice recordings were performed. The tasks required the participants to read a text, and complete a sentence with semantic information. A stepwise linear discriminant analysis was performed to select speech parameters with discriminative power. The discriminative functions obtained an accuracy of 83.3% in simultaneous classifications of several levels of cognitive impairment. It would therefore be a promising screening tool for dementia.

Barriers and Facilitators to Home- and Community-Based Services Access for Persons With Dementia and Their Caregivers

OBJECTIVES

The United States has seen increasing shifts toward home- and community-based services (HCBS) in place of institutional care for long-term services and supports. However, research has neglected to assess whether these shifts have improved access to HCBS for persons with dementia. This paper identifies HCBS access barriers and facilitators, and discusses how barriers contribute to disparities for persons with dementia living in rural areas and exacerbate disparities for minoritized populations.

METHODS

We analyzed qualitative data from 35 in-depth interviews. Interviews were held with stakeholders in the HCBS ecosystem, including Medicaid administrators, advocates for persons with dementia and caregivers, and HCBS providers.

RESULTS

Barriers to HCBS access for persons with dementia range from community and infrastructure barriers (e.g., clinicians and cultural differences), to interpersonal and individual-level barriers (e.g., caregivers, awareness, and attitudes). These barriers affect the health and quality of life for persons with dementia and may affect whether individuals can remain in their home or community. Facilitators included a range of more comprehensive and dementia-attuned practices and services in health care, technology, recognition and support for family caregivers, and culturally competent and linguistically accessible education and services.

DISCUSSION

System refinements, such as incentivizing cognitive screening, can improve detection and increase access to HCBS. Disparities in HCBS access experienced by minoritized persons with dementia may be addressed through culturally competent awareness campaigns and policies that recognize the necessity of familial caregivers in supporting persons with dementia. These findings can inform efforts to ensure more equitable access to HCBS, improve dementia competence, and reduce disparities.

Breast and prostate cancer screening rates by cognitive status in US older adults

INTRODUCTION

For most older adults with dementia, the short-term harms and burdens of routine cancer screening likely outweigh the delayed benefits. We aimed to provide a more updated assessment of the extent that US older adults with dementia receive breast and prostate cancer screenings.

METHODS

Using the Health and Retirement Study (HRS) Wave 12 (2014-2015) linked to Medicare, we examine rates of breast and prostate cancer screenings in adults 65+ years by cognitive status. We used claims data to identify eligibility for screening and receipt of screening. We used a validated method using HRS data to define cognitive status.

RESULTS

The analytic sample included 2439 women in the breast cancer screening cohort and 1846 men in the prostate cancer screening cohort. Average ages were 76.8 years for women and 75.6 years for men, with 9.0% and 7.6% with dementia in each cohort, respectively. Among women with dementia, 12.3% were screened for breast cancer. When stratified by age, 10.6% of those 75+ and have dementia were screened for breast cancer. When stratified by predicted life expectancy, 10.4% of those with predicted life expectancy of <10 years and have dementia were screened for breast cancer. Among men with dementia, 33.9% were screened for prostate cancer. When stratified by age, 30.9% of those 75+ and have dementia were screened for prostate cancer. When stratified by predicted life expectancy, 34.4% of those with predicted life expectancy of <10 years and have dementia were screened for prostate cancer. Using multivariable logistic regression, dementia was associated with lower odds of receiving breast cancer screening (OR 0.36, 95% CI 0.23-0.57) and prostate cancer screening (OR 0.58, 95% CI 0.36-0.96).

DISCUSSION

Our results suggest potential over-screening in older adults with dementia. Better supporting dementia patients and caregivers to make informed cancer screening decisions is critical.

Suspected undiagnosed ADRD among Middle Eastern and North African Americans

Background 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 Middle Eastern and North African (MENA) adults. We estimated ADRD underdiagnosis among MENA and other US- and foreign-born non-Hispanic Whites and compared sex-stratified results. Methods 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. Results Undiagnosed ADRD was highest among MENA adults (15.8%) compared to non-Hispanic Whites (US-born = 8.1%; foreign-born = 11.8%). MENA women 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. Discussion This study contributes the first national estimates of undiagnosed ADRD among MENA adults. Continued research is needed to facilitate policy changes that more comprehensively address health disparities and related resource allocation.

2023 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 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, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. 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. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 145%. This trajectory of deaths from AD was likely exacerbated by the COVID-19 pandemic in 2020 and 2021. More than 11 million family members and other unpaid caregivers provided an estimated 18 billion hours of care to people with Alzheimer's or other dementias in 2022. 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 $339.5 billion in 2022. Its costs, however, extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes - costs that have been aggravated by COVID-19. Members of the paid health care workforce are involved in diagnosing, treating and caring for people with dementia. In recent years, however, a shortage of such workers has developed in the United States. This shortage - brought about, in part, by COVID-19 - has occurred at a time when more members of the dementia care workforce are needed. Therefore, programs will be needed to attract workers and better train health care teams. 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 2023 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $345 billion. The Special Report examines whether there will be sufficient numbers of physician specialists to provide Alzheimer's care and treatment now that two drugs are available that change the underlying biology of Alzheimer's disease.

Dementia detection from brain activity during sleep

STUDY OBJECTIVES

Dementia is a growing cause of disability and loss of independence in the elderly, yet remains largely underdiagnosed. Early detection and classification of dementia can help close this diagnostic gap and improve management of disease progression. Altered oscillations in brain activity during sleep are an early feature of neurodegenerative diseases and be used to identify those on the verge of cognitive decline.

METHODS

Our observational cross-sectional study used a clinical dataset of 10 784 polysomnography from 8044 participants. Sleep macro- and micro-structural features were extracted from the electroencephalogram (EEG). Microstructural features were engineered from spectral band powers, EEG coherence, spindle, and slow oscillations. Participants were classified as dementia (DEM), mild cognitive impairment (MCI), or cognitively normal (CN) based on clinical diagnosis, Montreal Cognitive Assessment, Mini-Mental State Exam scores, clinical dementia rating, and prescribed medications. We trained logistic regression, support vector machine, and random forest models to classify patients into DEM, MCI, and CN groups.

RESULTS

For discriminating DEM versus CN, the best model achieved an area under receiver operating characteristic curve (AUROC) of 0.78 and area under precision-recall curve (AUPRC) of 0.22. For discriminating MCI versus CN, the best model achieved an AUROC of 0.73 and AUPRC of 0.18. For discriminating DEM or MCI versus CN, the best model achieved an AUROC of 0.76 and AUPRC of 0.32.

CONCLUSIONS

Our dementia classification algorithms show promise for incorporating dementia screening techniques using routine sleep EEG. The findings strengthen the concept of sleep as a window into neurodegenerative diseases.

Patient Characteristics Associated With Being Offered or Choosing Telephone vs Video Virtual Visits Among Medicare Beneficiaries

Importance

After the rapid expansion of telemedicine during the COVID-19 pandemic, there is debate about the role and reimbursement of telephone vs video visits. Missing is an understanding of what type of virtual visits clinicians may offer or patients may choose when given the option.

Objective

To evaluate characteristics of Medicare beneficiaries associated with practices and clinicians offering telephone visits only and patients receiving telephone visits only, when both telephone and video were available.

Design, Setting, and Participants

This survey study used 2019-2020 nationally representative Medicare Current Beneficiary Survey data. Participants included community-dwelling Medicare beneficiaries with a usual source of medical care who attended a practice offering telemedicine. Data were analyzed from May 3 to August 23, 2022.

Main Outcomes and Measures

Multivariable regression analysis was used to identify patient sociodemographic (age, sex, race, ethnicity, educational level, income, English proficiency, housing type, and number living at home), clinical (dementia, mental illness, self-rated health, hearing impairment, and vision impairment), and technology (technology access and prior use of video visits) factors associated with respondents' report of (1) practices offering telephone virtual visits only, (2) being offered telephone visits only when both video and telephone visits were available, and (3) receiving telephone visits only when both video and telephone visits were offered.

Results

Of 4691 respondents (representing 27 887 642 Medicare beneficiaries; mean [SD] age, 71.3[8.1] years; 55.0% female) reporting that their practice offered telemedicine, 1234 (23.3% weighted) reported that their practices offered telephone virtual visits only; factors associated with being in a practice offering telephone only included older age (adjusted odds ratio [aOR], 1.62 [95% CI, 1.10-2.39] for those aged ≥85 years vs 18-64 years), male sex (aOR, 1.36 [95% CI, 1.12-1.64]), Hispanic ethnicity (aOR, 1.41 [95% CI, 1.03-1.95]), lower income (aOR, 1.89 [95% CI, 1.43-2.49] for those with income ≤100% vs >200% of the federal poverty level), poor self-rated health (aOR, 1.25 [95% CI, 1.01-1.56]), and less technology access (aOR, 2.05 [95% CI, 1.61-2.60] for those with low vs high access). Of the 1593 patients in practices offering both video and telephone visits, 297 (16.7% weighted) were themselves offered telephone visits only; factors associated with being offered telephone only included Hispanic ethnicity (aOR, 1.96 [95% CI, 1.13-3.41]), limited English proficiency (aOR, 3.05 [95% CI, 1.28-7.31]), and less technology access (aOR, 1.68 [95% CI, 1.00-2.81] for those with low vs high access). Finally, of the 711 respondents who were themselves offered both video and telephone visits, 304 (43.1% weighted) had a telephone visit; factors associated with receiving telephone visits only were older age (aOR, 2.68 [95% CI, 1.21-5.92] for those aged 75-84 years vs 18-64 years) and less technology access (aOR, 2.65 [95% CI, 1.12-6.25] for those with moderate vs high access]). Among those who used video calls in other settings and were offered a choice, 122 (28.5%, weighted) chose telephone visits.

Conclusions and Relevance

In this survey study of Medicare beneficiaries, respondents often reported being offered or choosing telephone visits even when video visits were available. Study findings suggest that policy makers and clinical leaders should support the use of telephone visits to the extent that telephone is appropriate, while addressing both practice-level and patient-level barriers to video visits.

Readmission Rates and Episode Costs for Alzheimer Disease and Related Dementias Across Hospitals in a Statewide Collaborative

IMPORTANCE

There has been a paucity of research examining the risk and cost of readmission among patients with Alzheimer disease and related dementias (ADRD) after a planned hospitalization for a broad set of medical and surgical procedures.

OBJECTIVE

To examine 30-day readmission rates and episode costs, including readmission costs, for patients with ADRD compared with their counterparts without ADRD across Michigan hospitals.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used 2012 to 2017 Michigan Value Collaborative data across different medical and surgical services stratified by ADRD diagnosis. A total of 66 676 admission episodes of care that occurred between January 1, 2012, and June 31, 2017, were identified for patients with ADRD using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnostic codes for ADRD, along with 656 235 admission episodes in patients without ADRD. Using a generalized linear model framework, this study risk adjusted, price standardized, and performed episode payment winsorization. Payments were risk adjusted for age, sex, Hierarchical Condition Categories, insurance type, and prior 6-month payments. Selection bias was accounted for using multivariable logistic regression with propensity score matching without replacement using calipers. Data analysis was performed from January to December 2019.

EXPOSURE

Presence of ADRD.

MAIN OUTCOMES AND MEASURES

Main outcomes were 30-day readmission rate at the patient and county levels, 30-day readmission cost, and 30-day total episode cost across 28 medical and surgical services.

RESULTS

The study included 722 911 hospitalization episodes, of which 66 676 were related to patients with ADRD (mean [SD] age, 83.4 [8.6] years; 42 439 [63.6%] female) and 656 235 were related to patients without ADRD (mean [SD] age, 66.0 [15.4] years; 351 246 [53.5%] female). After propensity score matching, 58 629 hospitalization episodes were included for each group. Readmission rates were 21.5% (95% CI, 21.2%-21.8%) for patients with ADRD and 14.7% (95% CI, 14.4%-15.0%) for patients without ADRD (difference, 6.75 percentage points; 95% CI, 6.31-7.19 percentage points). Cost of 30-day readmission was $467 higher (95% CI of difference, $289-$645) among patients with ADRD ($8378; 95% CI, $8263-$8494) than those without ($7912; 95% CI, $7776-$8047). Across all 28 service lines examined, total 30-day episode costs were $2794 higher for patients with ADRD vs patients without ADRD ($22 371 vs $19 578; 95% CI of difference, $2668-$2919).

CONCLUSIONS AND RELEVANCE

In this cohort study, patients with ADRD had higher readmission rates and overall readmission and episode costs than their counterparts without ADRD. Hospitals may need to be better equipped to care for patients with ADRD, especially in the postdischarge period. Considering that any type of hospitalization may put patients with ADRD at a high risk of 30-day readmission, judicious preoperative assessment, postoperative discharge, and care planning are strongly advised for this vulnerable patient population.

Association of Education With Dementia Incidence Stratified by Ethnicity and Nativity in a Cohort of Older Asian American Individuals

IMPORTANCE

High education protects against dementia, but returns on educational attainment may be different across sociodemographic groups owing to various social factors. Asian American individuals are a growing and diverse group, but little research has assessed dementia determinants in this population.

OBJECTIVE

To examine the association of education with dementia in a large cohort of Asian American individuals, stratifying by ethnicity and nativity.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used electronic health record (EHR) and survey data from the Research Program on Genes, Environment, and Health and the California Men's Health Study surveys (2002-2020). Data are from Kaiser Permanente Northern California, an integrated health care delivery system. This study used a volunteer sample who completed the surveys. Participants included Chinese, Filipino, and Japanese individuals who were aged 60 to less than 90 years without a dementia diagnosis in the EHR at the time of the survey (baseline) and who had 2 years of health plan coverage before baseline. Data analysis was performed from December 2021 to December 2022.

EXPOSURES

The main exposure was educational attainment (college degree or higher vs less than a college degree), and the main stratification variables were Asian ethnicity and nativity (born in the US or born outside the US).

MAIN OUTCOMES AND MEASURES

The primary outcome was incident dementia diagnosis in the EHR. Dementia incidence rates were estimated by ethnicity and nativity, and Cox proportional hazards and Aalen additive hazards models were fitted for the association of college degree or higher vs less than a college degree with time to dementia, adjusting for age (timescale), sex, nativity, and an interaction between nativity and college degree.

RESULTS

Among 14 749 individuals, the mean (SD) age at baseline was 70.6 (7.3) years, 8174 (55.4%) were female, and 6931 (47.0%) had attained a college degree. Overall, among individuals born in the US, those with a college degree had 12% lower dementia incidence (HR, 0.88; 95% CI, 0.75-1.03) compared with those without at least a college degree, although the confidence interval included the null. The HR for individuals born outside the US was 0.82 (95% CI, 0.72-0.92; P = .46 for the college degree by nativity interaction). The findings were similar across ethnicity and nativity groups except for Japanese individuals born outside the US.

CONCLUSIONS AND RELEVANCE

These findings suggest that college degree attainment was associated with lower dementia incidence, with similar associations across nativity. More work is needed to understand determinants of dementia in Asian American individuals and to elucidate mechanisms linking educational attainment and dementia.

Identifying probable dementia in undiagnosed Black and White Americans using machine learning in Veterans Health Administration electronic health records

The application of machine learning (ML) tools in electronic health records (EHRs) can help reduce the underdiagnosis of dementia, but models that are not designed to reflect minority population may perpetuate that underdiagnosis. To address the underdiagnosis of dementia in both Black Americans (BAs) and white Americans (WAs), we sought to develop and validate ML models that assign race-specific risk scores. These scores were used to identify undiagnosed dementia in BA and WA Veterans in EHRs. More specifically, risk scores were generated separately for BAs (n=10K) and WAs (n=10K) in training samples of cases and controls by performing ML, equivalence mapping, topic modeling, and a support vector-machine (SVM) in structured and unstructured EHR data. Scores were validated via blinded manual chart reviews (n=1.2K) of controls from a separate sample (n=20K). AUCs and negative and positive predictive values (NPVs and PPVs) were calculated to evaluate the models. There was a strong positive relationship between SVM-generated risk scores and undiagnosed dementia. BAs were more likely than WAs to have undiagnosed dementia per chart review, both overall (15.3% vs 9.5%) and among Veterans with >90th percentile cutoff scores (25.6% vs 15.3%). With chart reviews as the reference standard and varied cutoff scores, the BA model performed slightly better than the WA model (AUC=0.86 with NPV=0.98 and PPV=0.26 at >90th percentile cutoff vs AUC=0.77 with NPV=0.98 and PPV=0.15 at >90th). The AUCs, NPVs, and PPVs suggest that race-specific ML models can assist in the identification of undiagnosed dementia, particularly in BAs. Future studies should investigate implementing EHR-based risk scores in clinics that serve both BA and WA Veterans.

Impact of Dementia on Long-Term Hip Fracture Surgery Outcomes: An Electronic Health Record Analysis

OBJECTIVE

Older adults with dementia are at higher risk for sustaining hip fracture and their long-term health outcomes after surgery are usually worse than those without dementia. Widespread adoption of electronic health records (EHRs) may allow hospitals to better monitor long-term health outcomes in patients with dementia after hospitalization. This study aimed to (1) estimate how dementia influences discharge location, mortality, and readmission 180 days and 1 year after hip fracture surgery in older adults, and (2) demonstrate the feasibility of using selection-bias reduced EHR data for research and long-term health outcomes monitoring.

DESIGN

Retrospective observational cohort study using EHRs.

SETTING AND PARTICIPANTS

A cohort of 1171 patients over age 65 years who had an initial hip fracture surgery between October 2015 and December 2018 was extracted from EHRs of one health system; 376 of these patients had dementia.

METHODS

Logistic regression was applied to estimate influences of dementia on discharge disposition and Cox proportional hazards model for mortality. The Fine and Gray regression model was used to analyze readmission, accounting for the competing risk of death. To reduce selection bias in EHRs, inverse probability of treatment weighting using propensity scores was implemented before modeling.

RESULTS

Dementia had significant impacts on all outcomes: being discharged to facilities [odds ratio (OR) = 2.11, 95% confidence interval (CI) 1.19-3.74], 180-day mortality [hazard ratio (HR) = 1.69, 95% CI 1.20-2.38], 1-year mortality (HR = 1.78, 95% CI 1.33-2.38), 180-day readmission (HR = 1.62, 95% CI 1.39-1.89), and 1 year readmission (HR = 1.39, 95% CI 1.21-1.58).

CONCLUSIONS AND IMPLICATIONS

Dementia was a significant risk factor for worse long-term outcomes. The inverse probability of treatment weighting approach can be used to reduce selection bias in EHR data for research and monitoring long-term health outcomes in the target population. Such monitoring could foster collaborations with post-acute and long-term health care services to improve recovery outcomes in patients with dementia after hip fracture surgery.

A Roadmap for Modifying Clinician Behavior to Improve the Detection of Cognitive Impairment

A staggering number of individuals live with cognitive decline. Primary care providers are ideally situated to detect the first signs of cognitive decline, but many persons remain undiagnosed. This limits their access to appropriate care. Unfortunately, the timely diagnosis of mild cognitive impairment or dementia in primary care is difficult to achieve. There is a great need for interventions to address this problem. This article applies an implementation science framework, the Behavioral Change Wheel, to evaluate the factors that influence detection of cognitive impairment in primary care and proposes candidate interventions for future study.

Design Considerations for Embedded Pragmatic Clinical Trials of Advance Care Planning Interventions for Persons Living With Dementia

Advance care planning (ACP) is an important part of comprehensive care for persons living with dementia (PLWD). While many trials have established the efficacy of ACP in improving end-of-life communication and documentation of care preferences, there remains a gap in clinical usage. Embedded pragmatic clinical trials (ePCTs) may facilitate the uptake of evidence-based care into existing healthcare by deploying efficacious ACP interventions into real-world settings. However rigorous conduct of ePCTs of ACP for PLWD presents several unique methodological considerations. Here we describe a framework for the construction of these research studies, with a focus on distinguishing between the target of study: the PLWD, their care partners, or both. We outline specific considerations at each step of the research study process including 1) participant identification/eligibility, 2) participant recruitment/enrollment, 3) intervention implementation, and 4) outcome selection/ascertainment. These considerations are weighed in further detail by describing the approaches from three published trials. Specifically, we consider how potential challenges were overcome by tradeoffs in study design. Finally, we offer directions for future growth to advance ePCTs for ACP among PLWD and catalyze future research.

External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems

BACKGROUND

Fifty percent of people living with dementia are undiagnosed. The electronic health record (EHR) Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) was developed to identify older adults at risk of having undiagnosed dementia using routinely collected clinical data.

OBJECTIVE

To externally validate eRADAR in two real-world healthcare systems, including examining performance over time and by race/ethnicity.

DESIGN

Retrospective cohort study PARTICIPANTS: 129,315 members of Kaiser Permanente Washington (KPWA), an integrated health system providing insurance coverage and medical care, and 13,444 primary care patients at University of California San Francisco Health (UCSF), an academic medical system, aged 65 years or older without prior EHR documentation of dementia diagnosis or medication.

MAIN MEASURES

Performance of eRADAR scores, calculated annually from EHR data (including vital signs, diagnoses, medications, and utilization in the prior 2 years), for predicting EHR documentation of incident dementia diagnosis within 12 months.

KEY RESULTS

A total of 7631 dementia diagnoses were observed at KPWA (11.1 per 1000 person-years) and 216 at UCSF (4.6 per 1000 person-years). The area under the curve was 0.84 (95% confidence interval: 0.84-0.85) at KPWA and 0.79 (0.76-0.82) at UCSF. Using the 90th percentile as the cut point for identifying high-risk patients, sensitivity was 54% (53-56%) at KPWA and 44% (38-51%) at UCSF. Performance was similar over time, including across the transition from International Classification of Diseases, version 9 (ICD-9) to ICD-10 codes, and across racial/ethnic groups (though small samples limited precision in some groups).

CONCLUSIONS

eRADAR showed strong external validity for detecting undiagnosed dementia in two health systems with different patient populations and differential availability of external healthcare data for risk calculations. In this study, eRADAR demonstrated generalizability from a research sample to real-world clinical populations, transportability across health systems, robustness to temporal changes in healthcare, and similar performance across larger racial/ethnic groups.

Associations of an eye-tracking task and pupillary metrics with age and ASA physical status score in a preoperative cohort

Advanced age, American Society of Anesthesiologists physical status (ASA) classification and the presence of cognitive impairment are associated with an elevated risk of postoperative morbidity and mortality. The visual paired comparison (VPC) task, which relies on recognition of novel images, examines declarative memory. VPC scores have demonstrated the ability to detect mild cognitive impairment and track progression of neurodegenerative disease. Quantitative pupillometry may have similar value. We evaluate for associations between these variables of interest and the feasibility of performing these tests in the preoperative clinic. Prospective data from 199 patients seen in the preoperative clinic at a tertiary academic center were analyzed. A 5 min VPC task (Neurotrack Technologies, Inc, Redwood City, CA) was administered during their scheduled preoperative clinic visit. Pupillary light reflexes were measured at the same visit (PLR-3000™, Neuroptics Corp, Irvine, California).Thirty-four percent of patients were categorized as ASA 2 and 58% as ASA 3. Median age was 57 (IQR: 44-69). Associations were demonstrated between age and ASA physical status (Mann-Whitney U Test, p < 0.0001), maximum pupil size (Spearman Rank Correlation, r = - 0.40, p < 0.0001), and maximum constriction velocity (Spearman Rank Correlation, r = - 0.39, p < 0.0001). Our data also revealed an association between VPC score and age (Spearman Rank Correlation, p = 0.0016, r = - 0.21) but not ASA score (Kruskal-Wallis Test, p = 0.14). When compared to a nonsurgical cohort with no history of memory impairment, our population scored worse on the VPC task (Mann-Whitney U Test, p = 0.0002). A preoperative 5 min VPC task and pupillometry are feasible tests in the preoperative setting and may provide a valuable window into an individual's cognition prior to elective surgery.

Differences in structural MRI and diffusion tensor imaging underlie visuomotor performance declines in older adults with an increased risk for Alzheimer's disease

Introduction

Visuomotor impairments have been demonstrated in preclinical AD in individuals with a positive family history of dementia and APOE e4 carriers. Previous behavioral findings have also reported sex-differences in performance of visuomotor tasks involving a visual feedback reversal. The current study investigated the relationship between grey and white matter changes and non-standard visuomotor performance, as well as the effects of APOE status, family history of dementia, and sex on these brain-behavior relationships.

Methods

Older adults (n = 49) with no cognitive impairments completed non-standard visuomotor tasks involving a visual feedback reversal, plane-change, or combination of the two. Participants with a family history of dementia or who were APOE e4 carriers were considered at an increased risk for AD. T1-weighted anatomical scans were used to quantify grey matter volume and thickness, and diffusion tensor imaging measures were used to quantify white matter integrity.

Results

In APOE e4 carriers, grey and white matter structural measures were associated with visuomotor performance. Regression analyses showed that visuomotor deficits were predicted by lower grey matter thickness and volume in areas of the medial temporal lobe previously implicated in visuomotor control (entorhinal and parahippocampal cortices). This finding was replicated in the diffusion data, where regression analyses revealed that lower white matter integrity (lower FA, higher MD, higher RD, higher AxD) was a significant predictor of worse visuomotor performance in the forceps minor, forceps major, cingulum, inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus (SLF), and uncinate fasciculus (UF). Some of these tracts overlap with those important for visuomotor integration, namely the forceps minor, forceps major, SLF, IFOF, and ILF.

Conclusion

These findings suggest that measuring the dysfunction of brain networks underlying visuomotor control in early-stage AD may provide a novel behavioral target for dementia risk detection that is easily accessible, non-invasive, and cost-effective. The results also provide insight into the structural differences in inferior parietal lobule that may underlie previously reported sex-differences in performance of the visual feedback reversal task.

Epidemiology of Adverse Outcomes in Teenage Pregnancy-A Northeastern Romanian Tertiary Referral Center

Background: Despite being a very well-documented subject in the literature, there are still conflicting results regarding teenage pregnancies and their fetal outcomes. Methods: We conducted a retrospective, comparative cohort study that included 1082 mothers aged less than 18 years, compared to 41,998 mothers aged over 18 years, who delivered in our tertiary referral center between January 2015 and December 2021. To check for significant differences between the two groups, the chi-qquared or Fisher’s test for categorical variables were used. Results: We detected statistically significant higher rates of fetal malformation, premature birth, FGR and SGA fetal growth conditions, preeclampsia, condylomatosis and vaginal infection with E. coli in our cohort of teenagers. In this subpopulation of teenagers, the rate for premature birth at less than 32 weeks of gestation was 3.26-fold higher and 3.25-fold higher for condylomatosis, and these results referred to the cohort of adult patients (>18 years old) that gave birth in the same interval of time. Conclusions: Teenage pregnancies still remain a major health problem that burdens all countries worldwide regardless of their income. It needs solutions initially to prevent pregnancy in this young age segment and last but not least to improve both maternal and fetal outcomes.

Trends in Healthcare Resource Use Preceding Diagnosis of Alzheimer's Disease Dementia

Introduction

An Alzheimer's disease (AD) dementia diagnosis is often preceded by an extended period of cognitive decline. Few studies have examined healthcare resource use (HRU) during an extended period before AD dementia diagnosis.

Methods

In a historical claims-based cohort study, propensity score-matched cohorts of patients with and without AD dementia were observed for a 5-year prediagnosis period and a 1-year postdiagnosis period. Demographics, clinical characteristics, and HRU were compared between groups.

Results

Individuals in the AD dementia group displayed a greater level of medical complexity in the year before diagnosis of AD dementia relative to those in the matched cohort. Both all-cause and AD dementia complication-related HRU increased gradually, with a marked spike at the time of initial AD dementia diagnosis. Discussion. Further research into the natural history of patients with AD dementia is necessary to improve identification of early AD and to better understand its broader impact.

Sauver J, Sohn S. Characterizing Performance Gaps of a Code-Based Dementia Algorithm in a Population-Based Cohort of Cognitive Aging

BACKGROUND

Multiple algorithms with variable performance have been developed to identify dementia using combinations of billing codes and medication data that are widely available from electronic health records (EHR). If the characteristics of misclassified patients are clearly identified, modifying existing algorithms to improve performance may be possible.

OBJECTIVE

To examine the performance of a code-based algorithm to identify dementia cases in the population-based Mayo Clinic Study of Aging (MCSA) where dementia diagnosis (i.e., reference standard) is actively assessed through routine follow-up and describe the characteristics of persons incorrectly categorized.

METHODS

There were 5,316 participants (age at baseline (mean (SD)): 73.3 (9.68) years; 50.7% male) without dementia at baseline and available EHR data. ICD-9/10 codes and prescription medications for dementia were extracted between baseline and one year after an MCSA dementia diagnosis or last follow-up. Fisher's exact or Kruskal-Wallis tests were used to compare characteristics between groups.

RESULTS

Algorithm sensitivity and specificity were 0.70 (95% CI: 0.67, 0.74) and 0.95 (95% CI: 0.95, 0.96). False positives (i.e., participants falsely diagnosed with dementia by the algorithm) were older, with higher Charlson comorbidity index, more likely to have mild cognitive impairment (MCI), and longer follow-up (versus true negatives). False negatives (versus true positives) were older, more likely to have MCI, or have more functional limitations.

CONCLUSIONS

We observed a moderate-high performance of the code-based diagnosis method against the population-based MCSA reference standard dementia diagnosis. Older participants and those with MCI at baseline were more likely to be misclassified.

Racial/Ethnic Disparities in Misidentification of Dementia in Medicare Claims: Results from the Washington Heights-Inwood Columbia Aging Project

BACKGROUND

Misidentification of dementia in Medicare claims is quite common.

OBJECTIVE

We examined potential race/ethnic disparities in misidentification of dementia in Medicare claims in a diverse cohort of older adults who underwent careful clinical assessment.

METHODS

Participants were enrolled in the Washington Heights-Inwood Columbia Aging Project (WHICAP), a multiethnic, population-based, prospective study of cognitive aging in which dementia status was assessed using a rigorous clinical protocol. ICD-9-CM and ICD-10-CM diagnosis codes in all available Medicare claims (1999-2019) were compared to clinical dementia diagnosis and categorized into three mutually exclusive groups: 1) congruent-, 2) over-, and 3) under- identification during the study period. Multinomial logistic regression model was used to examine the relationship between race (White, African American/Black, other) and ethnicity (Hispanic/Latinx, non-Hispanic/Latinx) and congruency of dementia identification after controlling for clinical (cognition, function, comorbidities) and demographic characteristics (age, sex, education), and inpatient and outpatient utilization.

RESULTS

Across all person-years, 88.4% had congruent identification of dementia compared to clinical diagnosis, in 4.1% of the times participants were over-identified with dementia, and 7.5% of the times the participants were under-identified. Rates of misidentification was higher in minority participants than in White, non-Hispanic participants. Multivariable estimation results showed that the probability of over-identification with dementia was 2.2% higher for African American/Black than White (p = 0.05) and 2.7% higher for Hispanic participants than non-Hispanics (p = 0.03) participants. Differences in under-identification by race/ethnicity were not statistically significant.

CONCLUSIONS

African American/Black and Hispanic participants were more likely over-identified with dementia in Medicare claims.

Risks and Benefits of Clinical Diagnosis Around the Time of Dementia Onset

Diagnostic delay in dementia is common in the U.S. Drivers of diagnostic delay are poorly understood, but appear related to misconceptions about dementia, stigma, concerns about autonomy, the nature of the diagnostic process, and provider-related factors. There is little quantitative evidence underlying cited risks and benefits of receiving a diagnosis around the time of dementia onset, including impacts on physical health, impacts on mental health, care partner interactions, costs of care, increased time for care planning, or earlier access to treatment. While various groups continue to push for reductions in diagnostic delay, realization of benefits and mitigation of harms will require new research on potential benefits and harms. Workforce and resource constraints, coupled with the expected growth in the number of persons living with dementia, may be a barrier to realization of potential benefits and mitigation of identified harms, which will require adequate access to providers, services, and supports.

Social Determinants of Health in Community-Dwelling Dementia Patients Aged 65 and Over: Analysis of the 2019 National Health Interview Survey

Alzheimer's Disease and related dementias affect 3.4 million community-dwelling adults in the United States. Given the burden of disease, a greater understanding of modifiable risk factors is crucial for targeted public health strategies. Social determinants of health (SDOH) are modifiable risk factors categorized in five domains: economic status, education, healthcare access, environment, and community context. Although individual SDOH have been linked to dementia, limited research exists on the interaction of SDOH with dementia across multiple domains. The aim of this study was to evaluate the association between SDOH across all five domains and dementia among community-dwelling adults in the United States. A cross-sectional study was performed on community-dwelling adults aged ≥65 years from the 2019 National Health Interview Survey (NHIS). Respondents (N = 9,277), of whom 303 (4%) self-reported positive dementia diagnosis, were predominantly female (55%), white (76%), and non-Hispanic (91%). Residing in a non-metropolitan area, having a usual place for healthcare, and receiving annual eye or dental exams were negatively associated with dementia. Minority compared to white status was not significantly associated with dementia, suggesting underdiagnosis of dementia within minority groups in the NHIS. We present the first comprehensive national view of SDOH among community-dwelling dementia patients in the United States.

Tailored Music Listening in Persons With Dementia: A Feasibility Randomized Clinical Trial

Introduction: This study examined the feasibility, acceptability, and preliminary efficacy of tailored music listening intervention on sleep disturbances in older adults with dementia and their caregivers. Methods: We randomly assigned 33 older adults with dementia (mean age 71.7 [SD: 7.1], 72.7% female, 81.8% African American/Black) and their caregivers (mean age 58.4 [SD: 16.7], 72.7% female, 84.8% African American/Black) to a wait-list control or intervention group (NCT04157244). Results: The music intervention was feasible as evidenced by high study measure completion and retention rates (>90%). Recruitment was stopped prematurely due to the COVID-19 pandemic. We found mixed acceptability results from the survey and qualitative interviews with the participants. Both groups improved on objective sleep outcomes of sleep latency and wake sleep after onset. We found a small effect size for sleep duration post-intervention. Discussion: The findings provide preliminary evidence for the feasibility of a tailored music intervention and identified ways to improve its acceptability.

Associations Between Use of Paid Help and Care Experiences Among Medicare-Medicaid Enrolled Older Adults With and Without Dementia

OBJECTIVES

Community-living older Medicare and Medicaid enrollees ("dual-enrollees") have high care needs and commonly receive paid and unpaid long-term services and supports (LTSS) to help with routine activities. Little is known about whether receiving paid help or individuals' state and neighborhood environmental context ("LTSS environment") relates to dual-enrollees' care experiences.

METHODS

We examine a sample of n = 979 community-dwelling dual-enrollees with disabilities from 2011 to 2015 National Health and Aging Trends Study, linked to measures of neighborhood disadvantage and state Medicaid home and community-based services (HCBS) generosity. Logistic regression models stratified by dementia status assess associations between paid help and: (a) adverse consequences due to unmet care needs, and (b) participation restrictions in valued activities, among dual-enrollees with and without dementia, adjusting for individual and LTSS environmental characteristics.

RESULTS

Use of paid help was greater for those with (versus without) dementia (46.9% vs. 37.8%). Neighborhood disadvantage was associated with greater use of paid help among dual-enrollees living with dementia. High state Medicaid HCBS generosity was associated with the use of paid help, regardless of dementia status. Dual-enrollees with dementia receiving paid help had higher odds of experiencing adverse consequences due to unmet need (adjusted odds ratio = 2.05; 95% confidence interval 1.16-3.61; p = .02)-no significant associations were observed for participation restrictions. Use of paid help and LTSS environment were not significantly associated with care experiences for dual-enrollees without dementia.

DISCUSSION

Findings highlight the complexities of caring for dual-enrollees, particularly those with dementia, and emphasize the need to strengthen the delivery of paid care with considerations for the LTSS environment.

Lay Knowledge About Dementia in Iceland: Symptoms and Risk and Protective Factors

No studies are available on the lay knowledge about dementia in Nordic countries. A survey was sent to 829 Icelanders aged 25 to 65 (61.2% female). 60.8% resided in the capital area of Reykjavik. About 90% or more recognized eight of eleven dementia symptoms, with females recognizing them proportionally more often than males. About 50% believed that an individual's risk of developing dementia could be modified. For individual risk factors, agreement ranged from 4% (hearing loss) to 75.1% (history of brain injury). Knowledge about cardiovascular risk factors ranged from 24.8% (obese) to 43.6% (high blood pressure). Participants acknowledged the importance of a healthy diet and an active lifestyle, but only 8% identified a low education level as a risk factor. Public health campaigns and educational efforts about dementia should focus on the whole lifespan targeting all risk and protective factors operating throughout the lifespan.

Sex-Specific Multiparameter Blood Test for the Early Diagnosis of Alzheimer's Disease

Blood-based biomarkers are needed for the early diagnosis of Alzheimer's disease (AD). We analyzed longitudinal human plasma samples from AD and control cases to identify biomarkers for the early diagnosis of AD. Plasma samples were grouped based on clinical diagnosis at the time of collection: AD, mild cognitive impairment (MCI), and pre-symptomatic (preMCI). Samples were analyzed by ELISA using a panel of reagents against nine different AD-related amyloid-β (Aβ), tau, or TDP-43 variants. Receiver operating characteristic (ROC) curves of different biomarker panels for different diagnostic sample groups were determined. Analysis of all of the samples gave a sensitivity of 92% and specificity of 76% for the diagnosis of AD. Early-stage diagnosis of AD, utilizing only the preMCI and MCI samples, identified 88% of AD cases. Using sex-biased biomarker panels, early diagnosis of AD cases improved to 96%. Using the sex-biased panels, we also identified 6 of the 25 control group cases as being at high risk of AD, which is consistent with what is expected given the advanced age of the control cases. Specific AD-associated protein variants are effective blood-based biomarkers for the early diagnosis of AD. Notably, significant differences were observed in biomarker profiles for the early detection of male and female AD cases.

Elevated serum uric acid is associated with cognitive improvement in older American adults: A large, population-based-analysis of the NHANES database

Background

The many studies revealing a connection between serum uric acid (SUA) and dementia have reported conflicting results. This study sought to investigate the relations between SUA and cognitive function in older adults.

Materials and methods

The sample was 2,767 American adults aged ≥60 years from the National Health and Nutrition Examination Survey 2011-2014. Cognitive performance was evaluated by the Consortium to Establish a Registry for Alzheimer's Disease test, animal fluency test, digit symbol substitution test, and composite z-score. Multivariate linear regression analyses were conducted to estimate the association between SUA and cognitive function.

Results

SUA level and cognitive function were significantly, positively correlated. Age significantly correlated with the association between SUA and cognitive function.

Conclusion

These findings support a connection between SUA and cognition, showing a positive link between SUA and cognitive scores among older American adults. We contend that a slight rise in uric acid within the normal range is advantageous for enhanced cognition. To confirm the precise dose-time-response relation, more tests will be needed.

Association of Race and Income with Incident Diagnosis of Alzheimer's Disease and Related Dementias among Black and White Older Adults

To investigate how differences in income and education levels may contribute to disparities in incidence of Alzheimer's disease and related dementia (ADRD), we compared ADRD incidence in traditional Medicare claims for 11,132 Black and 7703 White participants aged 65 and over from a predominantly low-income cohort. We examined whether the relationship between ADRD incidence and race varied by income or education. Based on 2015 incident ADRD diagnoses, Black and White participants had unadjusted incidence rates of 26.5 and 23.2 cases per 1000 person-years, respectively (rate ratio 1.14, 95% CI 1.05-1.25). In multivariable Cox proportional hazard models, the relationship between race and incident ADRD diagnosis did not vary by education level (p-interaction = 0.748) but was modified by income level (p-interaction = 0.007), with higher ADRD incidence among Black participants observed only among higher income groups. These results highlight the importance of understanding how race and economic factors influence ADRD incidence and diagnosis rates.

Surrogate consent for surgery among older adult patients

BACKGROUND

Surrogate consent for surgery is sought when a patient lacks capacity to consent for their own operation. The purpose of this study is to describe older adults who underwent surgical interventions with surrogate consent.

METHODS

A descriptive analysis was performed using data from the American College of Surgeons National Surgical Quality Improvement Program Geriatric Surgery Pilot collected from 2014 to 2018. All patients included were ≥65 years old and underwent a surgical procedure. Demographic and preoperative health characteristics were evaluated to examine differences between those with and without surrogate consent.

RESULTS

In total, 51,618 patients were included in this study, and 6.6% underwent an operation with surrogate consent. Surrogate consent was more common among older patients (median age 83 vs 73, P < .001), female patients (7.7% vs 5.3%, P < .001), patients undergoing emergency as opposed to elective procedures (21.9% vs 1.6%, P < .001), patients with cognitive impairment (50.5% vs 2.4%, P < .001), and patients who were dependent on others for activities of daily living (41.9% vs 4.1%, P < .001). Nearly half of patients with a diagnosis of cognitive impairment signed their own consent.

CONCLUSION

Surrogate consent was more common among patients who were older, female, had a higher comorbidity burden, and had preoperative disability. Nearly half of patients with documented cognitive impairment signed their own consent. These results indicate that further research is needed to understand how surgeons determine which patients require surrogate consent.

Racial/ethnic disparities in initiation and persistent use of anti-dementia medications

BACKGROUND

Racial/ethnic disparities in anti-dementia medications use in longitudinally followed research participants are unclear.

METHODS

The study included initially untreated participants followed in National Alzheimer's Coordinating Center Uniform Data Set who were ≥65 at baseline with Alzheimer's disease dementia.

OUTCOMES

Outcomes for acetylcholinesterase inhibitor (AChEI) treatment included (1) any new AChEI treatment during follow-up, and (2) persistence of treatment during follow-up categorized into: intermittent treatment (< 50% follow-ups reporting treatment), persistent (≥50% follow-ups), and always treated. Outcomes for memantine treatment were similarly constructed.

RESULTS

Controlling for participant characteristics, Black and Hispanic participants remained less likely than White participants to report any new AChEI or memantine treatment during follow-up. Among those who reported new treatment during follow-up, both Black and Hispanic participants were less likely than White participants to be persistently treated with AChEI and memantine.

DISCUSSION

Substantial racial/ethnic treatment disparities remain in controlled settings of longitudinal research in which participants have access to dementia experts, suggesting wider disparities in the larger community.

Caregiver Experiences Navigating the Diagnostic Journey in a Rapidly Progressing Dementia

INTRODUCTION

People with suspected Alzheimer's disease and related dementias (ADRD) and their families experience a burdensome process while seeking a diagnosis. These challenges are problematic in the most common dementia syndromes, but they can be even more distressing in rarer, atypical syndromes such as rapidly progressive dementias (RPDs), which can be fatal within months from onset. This study is an examination of the diagnostic journey experience from the perspective of caregivers of people who died from the prototypic RPD, sporadic Creutzfeldt-Jakob Disease (sCJD).

METHODS

eIn this mixed-methods study, qualitative data were drawn from interviews with former caregivers of 12 people who died from sCJD. Chart review data were drawn from research and clinical chart data about the person with sCJD. Data were analyzed by a multidisciplinary research team using qualitative and descriptive statistical analysis.

RESULTS

We identified 4 overarching themes that characterized the experience of the diagnostic journey in sCJD: clinician knowledge, clinician communication, experiences of uncertainty, and the caregiver as advocate. We also identified 4 phases along the diagnostic journey: recognition, the diagnostic workup, diagnosis, and post-diagnosis. Sub-themes within each phase include struggles to recognize what is wrong, complex processes of testing and referrals, delay and disclosure of diagnosis, and access to resources post-diagnosis.

CONCLUSIONS

Findings suggest that more work is needed to improve clinician diagnostic knowledge and communication practices. Furthermore, caregivers need better support during the diagnostic journey. What we learn from studying sCJD and other RPDs is likely applicable to other more common dementias.

Differentiation of patients with mild cognitive impairment and healthy controls based on computer assisted hand movement analysis: a proof-of-concept study

Mild cognitive impairment (MCI) is the prodromal phase of dementia, and it is highly underdiagnosed in the community. We aimed to develop an automated, rapid (< 5 min), electronic screening tool for the recognition of MCI based on hand movement analysis. Sixty-eight individuals participated in our study, 46 healthy controls and 22 patients with clinically defined MCI. All participants underwent a detailed medical assessment including neuropsychology and brain MRI. Significant differences were found between controls and MCI groups in mouse movement characteristics. Patients showed higher level of entropy for both the left (F = 5.24; p = 0.001) and the right hand (F = 8.46; p < 0.001). Longer time was required in MCI to perform the fine motor task (p < 0.005). Furthermore, we also found significant correlations between mouse movement parameters and neuropsychological test scores. Correlation was the strongest between motor parameters and Clinical Dementia Rating scale (CDR) score (average r: - 0.36, all p's < 0.001). Importantly, motor parameters were not influenced by age, gender, or anxiety effect (all p's > 0.05). Our study draws attention to the utility of hand movement analysis, especially to the estimation of entropy in the early recognition of MCI. It also suggests that our system might provide a promising tool for the cognitive screening of large populations.

Time to dementia diagnosis by race: A retrospective cohort study

BACKGROUND

Non-Hispanic Black individuals may be less likely to receive a diagnosis of dementia compared to non-Hispanic White individuals. These findings raise important questions regarding which factors may explain this observed association and any differences in the time to which disparities emerge following dementia onset.

METHODS

We conducted a retrospective cohort study using survey data from the 1995 to 2016 Health and Retirement Study linked with Medicare fee-for-service claims. Using the Hurd algorithm (a regression-based approach), we identified dementia onset among older adult respondents (age ≥65 years) from the Telephone Interview for Cognitive Status and proxy respondents. We determined date from dementia onset to diagnosis using Medicare data up to 3 years following onset using a list of established diagnosis codes. Cox Proportional Hazards modeling was used to examine the association between an individual's reported race and likelihood of diagnosis after accounting for sociodemographic characteristics, income, education, functional status, and healthcare use.

RESULTS

We identified 3435 older adults who experienced a new onset of dementia. Among them, 30.1% received a diagnosis within 36 months of onset. In unadjusted analyses, the difference in cumulative proportion diagnosed by race continued to increase across time following onset, p-value <0.001. 23.8% of non-Hispanic Black versus 31.4% of non-Hispanic White participants were diagnosed within 36 months of dementia onset, Hazard Ratio = 0.73 (95% CI: 0.61, 0.88). The association persisted after adjustment for functional status and healthcare use; however, these factors had less of an impact on the strength of the association than income and level of education.

CONCLUSION

Lower diagnosis rates of dementia among non-Hispanic Black individuals persists after adjustment for sociodemographic characteristics, functional status, and healthcare use. Further understanding of barriers to diagnosis that may be related to social determinants of health is needed to improve dementia-related outcomes among non-Hispanic Black Americans.

The Stigma Toward Dementia on Twitter: A Sentiment Analysis of Dutch Language Tweets

People living with dementia are often faced with attitudes indicating stigma. Social media platforms, such as Twitter, can allow for self-expression and support, but can also be used to disseminate misinformation, which can reinforce existing stigma. In the present study, we explore whether the stigma toward dementia is present in Dutch language tweets. In total, 969 tweets containing dementia-related keywords were collected during a period of five months in 2019 and 2020. These were analyzed by means of a sentiment analysis, which we approached as a classification task. The tweets were coded into seven dimensions, i.e., information, joke, metaphor, organization, personal experience, politics, and ridicule, using a semi-automatic machine learning approach. The emerging correlations with our use of Linguistic Inquiry and Word Count software for sentiment analysis validate our approach. In the present study, 9.29% of tweets contain ridicule, propagating stigmatic attitudes on Twitter.

Association of Being Accompanied at Medical Consultation and Having Memory Complaints With Cognitive Impairment in Elderly Brazilian Outpatients

BACKGROUND

The usefulness of both the presence of a companion at the medical consultation and patient's cognitive complaints as selection strategies for performing a dementia evaluation is still unclear.

OBJECTIVES

To estimate the association of elderly patients being accompanied during medical visits and patient's memory complaint with objective cognitive impairment.

METHODS

We included elderly outpatients awaiting medical consultations in 3 non-neurological medical specialties. Demographic and Mini-Mental State Examination were collected. Patients' memory complaints were evaluated with a single question to both patients and companions.

RESULTS

Five hundred ninety-three elderly patients were included in the study with 64.6% female and median (interquartile range) age 73 (68-78), 4 (2-6) years of education. Of these, 242 patients were accompanied and 62.6% presented memory complaints. The median (interquartile range) Mini-Mental State Examination scores were significantly lower in patients accompanied and in those with memory complaints. In a logistic regression model, age, education, memory complaint, and presence of companion were associated with cognitive impairment. In the model including only accompanied patients, only age and companion memory complaints were associated with objective cognitive impairment.

CONCLUSIONS

The presence of a companion during a clinical consultation and patients' memory complaints are both synergistically associated with objective cognitive impairment.

Evaluating The Accuracy Of Medicare Risk Adjustment For Alzheimer's Disease And Related Dementias

In 2020 Medicare reintroduced Alzheimer's disease and related dementias (ADRD) Hierarchical Condition Categories (HCCs) to risk-adjust Medicare Advantage and accountable care organization (ACO) payments. The potential for Medicare spending increases from this policy change are not well understood because the baseline accuracy of ADRD HCCs is uncertain. Using linked 2016-18 claims and electronic health record data from a large ACO, we evaluated the accuracy of claims-based ADRD HCCs against a reference standard of clinician-adjudicated disease. An estimated 7.5 percent of beneficiaries had clinician-adjudicated ADRD. Among those with ADRD HCCs, 34 percent did not have clinician-adjudicated disease. The false-negative and false-positive rates were 22.7 percent and 3.2 percent, respectively. Medicare spending for those with false-negative ADRD HCCs exceeded that of true positives by $14,619 per beneficiary. If, after the reintroduction of risk adjustment for ADRD, all false negatives were coded as having ADRD, expenditure benchmarks for beneficiaries with ADRD would increase by 9 percent. Monitoring ADRD coding could become challenging in the setting of concurrent incentives to decrease false-negative rates and increase false-positive rates.

Observational study of patient characteristics associated with a timely diagnosis of dementia and mild cognitive impairment without dementia

BACKGROUND

Timely diagnosis of cognitive impairment is a key goal of the National Plan to Address Alzheimer's Disease, but studies of factors associated with a timely diagnosis are limited.

OBJECTIVE

To identify patient characteristics associated with a timely diagnosis of dementia and mild cognitive impairment (MCI).

DESIGN

Retrospective observational study using survey data from the Health and Retirement Study (HRS) from 1995-2016 (interview waves 3-13).

PARTICIPANTS

4,760 respondents with incident dementia and 1,864 with incident MCI identified using longitudinal measures of cognitive functioning.

MAIN MEASURES

Timely or delayed diagnosis based on the timing of a self or proxy report of a healthcare provider diagnosis in relation to respondents first dementia or MCI-qualifying cognitive score, sociodemographic characteristics, health status, health care utilization, insurance provider, and year of first qualifying score.

KEY RESULTS

Only 26.0% of the 4,760 respondents with incident dementia and 11.4% of the 1,864 respondents with incident MCI received a timely diagnosis. Non-Hispanic Black respondents and respondents with less than a college degree were significantly less likely to receive a timely diagnosis of either dementia or MCI than Non-Hispanic White respondents (dementia odds ratio (OR): 0.61, 95% CI: 0.50, 0.75; MCI OR: 0.40, 95% CI: 0.23, 0.70) and those with a college degree (dementia OR for less than high school degree: 0.30, 95% CI: 0.23, 0.38; MCI OR: 0.36, 95% CI: 0.22, 0.60). Respondents that lived alone were also less likely to receive a timely diagnosis of dementia (OR: 0.69, 95% CI: 0.59, 0.81), though not MCI. Timely diagnosis of both conditions increased over time.

CONCLUSIONS

Targeting resources for timely diagnosis of cognitive impairment to individuals from racial and ethnic minorities, lower educational attainment, and living alone may improve detection and reduce disparities around timely diagnosis of dementia and MCI.