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

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.

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.

BIN1 rs744373 SNP and APOE alleles specifically associate to common diseases

APOE ε4 and BIN1 are the two main genetic risk factors for sporadic Alzheimer's Disease (AD). Among several BIN1 variants, the rs744373 is frequently associated with AD risk by contributing to tau pathology and poor cognitive performance. This study addressed the association of APOE and BIN1 rs744373 to specific characteristics in a Portuguese primary care-based study group, denoted pcb-Cohort. The study included 590 participants from five primary care health centers in the Aveiro district of Portugal. Individuals were evaluated and scored for cognitive and clinical characteristics, and blood samples were collected from the volunteers meeting the inclusion and exclusion criteria (N = 505). APOE and BIN1 genotypes were determined, and their association with cognitive characteristics and other diseases that might contribute to cognitive deficits, namely depression, hypertension, type 2 diabetes, dyslipidemia, osteoarticular diseases, gastrointestinal diseases, cardiovascular and respiratory diseases, was assessed. The diseases attributed to the study group were those previously diagnosed and confirmed by specialists. The results generated through multivariate analysis show that APOE ε4 carriers significantly associated with poorer cognitive performance (OR = 2.527; p = 0.031). Additionally, there was a significant risk of dyslipidemia for APOE ε4 carriers (OR = 1.804; p = 0.036), whereas BIN1 rs744373 risk-allele carriers were at a significantly lower risk of having dyslipidemia (OR = 0.558; p = 0.006). Correlations were evident for respiratory diseases in which APOE ε4 showed a protective tendency (OR = 0.515; p = 0.088), and BIN1 had a significative protective profile (OR = 0.556; p = 0.026). Not of statistical significance, APOE ε2 showed a trend to protect against type 2 diabetes (OR = 0.342; p = 0.093), in contrast BIN1 rs744373 risk-allele carriers were more likely to exhibit the disease (OR = 1.491; p = 0.099). The data here presented clearly show, for the first time, that the two top genetic risk factors for sporadic AD impact a similar group of common diseases, namely dyslipidemia, respiratory diseases, and type 2 diabetes.

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.

Association of Healthy Lifestyles With Risk of Alzheimer Disease and Related Dementias in Low-Income Black and White Americans

BACKGROUND AND OBJECTIVES

Although the importance of healthy lifestyles for preventing Alzheimer disease and related dementias (ADRD) has been recognized, epidemiologic evidence remains limited for non-White or low-income individuals who bear disproportionate burdens of ADRD. This population-based cohort study aims to investigate associations of lifestyle factors, individually and together, with the risk of ADRD among socioeconomically disadvantaged Americans.

METHODS

In the Southern Community Cohort Study, comprising two-thirds self-reported Black and primarily low-income Americans, we identified incident ADRD using claims data among participants enrolled in Medicare for at least 12 consecutive months after age 65 years. Five lifestyle factors-tobacco smoking, alcohol consumption, leisure-time physical activity (LTPA), sleep hours, and diet quality-were each scored 0 (unhealthy), 1 (intermediate), or 2 (healthy) based on the health guidelines. A composite lifestyle score was created by summing all scores. Cox regression was used to estimate hazard ratios (HRs, 95% CIs) for incident ADRD, treating death as a competing risk.

RESULTS

We identified 1,694 patients with newly diagnosed ADRD among 17,209 participants during a median follow-up of 4.0 years in claims data; the mean age at ADRD diagnosis was 74.0 years. Healthy lifestyles were individually associated with an 11%-25% reduced risk of ADRD: multivariable-adjusted HR (95% CI) was 0.87 (0.76-0.99) for never vs current smoking, 0.81 (0.72-0.92) for low-to-moderate vs no alcohol consumption, 0.89 (0.77-1.03) for ≥150 minutes of moderate or ≥75 minutes of vigorous LTPA each week vs none, 0.75 (0.64-0.87) for 7-9 hours vs >9 hours of sleep, and 0.85 (0.75-0.96) for the highest vs lowest tertiles of the Healthy Eating Index. The composite lifestyle score showed a dose-response association with up to 36% reduced risk of ADRD: multivariable-adjusted HRs (95% CIs) across quartiles were 1 (ref), 0.88 (0.77-0.99), 0.79 (0.70-0.90), and 0.64 (0.55-0.74); p trend <0.001. The beneficial associations were observed regardless of participants' sociodemographics (e.g., race, education, and income) and health conditions (e.g., history of cardiometabolic diseases and depression).

DISCUSSION

Our findings support significant benefits of healthy lifestyles for ADRD prevention among socioeconomically disadvantaged Americans, suggesting that promoting healthy lifestyles and reducing barriers to lifestyle changes are crucial to tackling the growing burden and disparities posed by ADRD.

Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study

BACKGROUND

Electronic health records (EHRs) with large sample sizes and rich information offer great potential for dementia research, but current methods of phenotyping cognitive status are not scalable.

OBJECTIVE

The aim of this study was to evaluate whether natural language processing (NLP)-powered semiautomated annotation can improve the speed and interrater reliability of chart reviews for phenotyping cognitive status.

METHODS

In this diagnostic study, we developed and evaluated a semiautomated NLP-powered annotation tool (NAT) to facilitate phenotyping of cognitive status. Clinical experts adjudicated the cognitive status of 627 patients at Mass General Brigham (MGB) health care, using NAT or traditional chart reviews. Patient charts contained EHR data from two data sets: (1) records from January 1, 2017, to December 31, 2018, for 100 Medicare beneficiaries from the MGB Accountable Care Organization and (2) records from 2 years prior to COVID-19 diagnosis to the date of COVID-19 diagnosis for 527 MGB patients. All EHR data from the relevant period were extracted; diagnosis codes, medications, and laboratory test values were processed and summarized; clinical notes were processed through an NLP pipeline; and a web tool was developed to present an integrated view of all data. Cognitive status was rated as cognitively normal, cognitively impaired, or undetermined. Assessment time and interrater agreement of NAT compared to manual chart reviews for cognitive status phenotyping was evaluated.

RESULTS

NAT adjudication provided higher interrater agreement (Cohen κ=0.89 vs κ=0.80) and significant speed up (time difference mean 1.4, SD 1.3 minutes; P<.001; ratio median 2.2, min-max 0.4-20) over manual chart reviews. There was moderate agreement with manual chart reviews (Cohen κ=0.67). In the cases that exhibited disagreement with manual chart reviews, NAT adjudication was able to produce assessments that had broader clinical consensus due to its integrated view of highlighted relevant information and semiautomated NLP features.

CONCLUSIONS

NAT adjudication improves the speed and interrater reliability for phenotyping cognitive status compared to manual chart reviews. This study underscores the potential of an NLP-based clinically adjudicated method to build large-scale dementia research cohorts from EHRs.

The 5-Cog paradigm to improve detection of cognitive impairment and dementia: clinical trial protocol

Cognitive impairment related to dementia is under-diagnosed in primary care despite availability of numerous cognitive assessment tools; under-diagnosis is more prevalent for members of racial and ethnic minority groups. Clinical decision-support systems may improve rates of primary care providers responding to positive cognitive assessments with appropriate follow-up. The 5-Cog study is a randomized controlled trial in 1200 predominantly Black and Hispanic older adults from an urban underserved community who are presenting to primary care with cognitive concerns. The study will validate a novel 5-minute cognitive assessment coupled with an electronic medical record-embedded decision tree to overcome the barriers of current cognitive assessment paradigms in primary care and facilitate improved dementia care.

Predictors of functional impairment and awareness in people with dementia, mild cognitive impairment and healthy older adults from a middle-income country

Objective

To investigate the demographic, clinical and cognitive correlates of functional capacity and its awareness in people with dementia (PwD; n = 104), mild cognitive impairment (PwMCI; n = 45) and controls (healthy older adults; n = 94) in a sample from a middle-income country.

Methods

Dementia and MCI were diagnosed, respectively, with DSM-IV and Petersen criteria. Performance in activities of daily living (ADL) at three different levels [basic (The Katz Index of Independence), instrumental (Lawton instrumental ADL scale) and advanced (Reuben's advanced ADL scale)], measured through self- and informant-report, as well as awareness (discrepancy between self- and informant-report), were compared between groups. Stepwise regression models explored predictors of ADL and their awareness.

Results

PwD showed impairment in all ADL levels, particularly when measured through informant-report. No differences were seen between controls and PwMCI regardless of measurement type. PwD differed in awareness of instrumental and basic, but not of advanced ADL, compared to controls. Age, gender, education and fluency were the most consistent predictors for ADL. Diagnosis was a significant predictor only for instrumental ADL. Awareness of basic ADL was predicted by memory, and awareness of instrumental ADL was predicted by general cognitive status, educational level, and diagnosis.

Conclusion

Results reinforce the presence of lack of awareness of ADL in PwD. Use of informant-reports and cognitive testing for fluency are suggested for the clinical assessment of ADL performance. Finally, assessment of instrumental ADL may be crucial for diagnostic purposes.

Examine Race/Ethnicity Disparities in Perception, Intention, and Screening of Dementia in a Community Setting: Scoping Review

Background: Delayed detection and diagnosis of Alzheimer’s Disease and related dementia (ADRD) can lead to suboptimal care and socioeconomic burdens on individuals, families, and communities. Our objective is to investigate dementia screening behavior focusing on minority older populations and assess whether there are ethnic differences in ADRD screening behavior. Methods: The scoping review method was utilized to examine ADRD screening behavior and contributing factors for missed and delayed screening/diagnosis focusing on race/ethnicity. Results: 2288 papers were identified, of which 21 met the inclusion criteria. We identified six dimensions of ADRD screening behavior: Noticing Symptoms, Recognizing a problem, Accepting Screen, Intending Screen, Action, and Integrating with time. Final findings were organized into study race/ethnicity, theoretical background, the methods of quantitative and qualitative studies, description and measures of ADRD screening behavior, and racial/ethnic differences in ADRD screening behavior. Conclusions: A trend in ethnic disparities in screening for ADRD was observed. Our findings point to the fact that there is a scarcity of studies focusing on describing ethnic-specific ADRD screening behavior as well as a lack of those examining the impact of ethnicity on ADRD screening behavior, especially studies where Asian Americans are almost invisible.

Alteration of Visuospatial System as an Early Marker of Cognitive Decline: A Double-Center Neuroimaging Study

Amnestic-type mild cognitive impairment (a-MCI) represents the prodromal phase of Alzheimer's disease associated with a high conversion rate to dementia and serves as a potential golden period for interventions. In our study, we analyzed the role of visuospatial (VS) functions and networks in the recognition of a-MCI. We examined 78 participants (32 patients and 46 controls) in a double-center arrangement using neuropsychology, structural, and resting-state functional MRI. We found that imaging of the lateral temporal areas showed strong discriminating power since in patients only the temporal pole (F = 5.26, p = 0.034) and superior temporal gyrus (F = 8.04, p < 0.001) showed reduced cortical thickness. We demonstrated significant differences between controls and patients in various neuropsychological results; however, analysis of cognitive subdomains revealed that the largest difference was presented in VS skills (F = 8.32, p < 0.001). Functional connectivity analysis of VS network showed that patients had weaker connectivity between the left and right frontotemporal areas, while stronger local connectivity was presented between the left frontotemporal structures (FWE corrected p < 0.05). Our results highlight the remarkable potential of examining the VS system in the early detection of cognitive decline. Since resting-state setting of functional MRI simplifies the possible automatization of data analysis, detection of VS system alterations might provide a non-invasive biomarker of a-MCI.

Patient cognitive impairment associated with higher home health care delivery costs

OBJECTIVE

To assess whether home health agencies incur significantly higher care delivery costs for patients with cognitive impairment across three timeframes relevant to home health payment policy.

DATA SOURCES

Linked Medicare home health claims and patient assessments, National Health and Aging Trends Study (NHATS), and home health agency cost reports for a nationally representative sample of Medicare beneficiaries receiving home health between 2011 and 2016.

STUDY DESIGN

We modeled care delivery costs incurred by the home health agency as a function of patient cognitive impairment using multivariable, propensity score-adjusted, generalized linear models.

DATA COLLECTION/EXTRACTION METHODS

We identified NHATS participants who experienced an index home health episode between 2011 and 2016 (n = 1214; weighted n = 5,856,333) and linked their NHATS survey data to standardized patient assessment and claims data for the episode, as well as cost report data for the home health agency that provided care.

PRINCIPAL FINDINGS

Across the first 30, 60, and 120 days of caring for a patient with cognitive impairment, we estimate additional costs of care to the home health agency of $186.19 (p = 0.02), $282.46 (p = 0.01), and $740.91 (p = 0.04), respectively.

CONCLUSIONS

Home health agencies incur significantly higher costs when caring for a patient with cognitive impairment. As patient cognitive function is not considered in the most recent Medicare home health reimbursement model, agencies may be disincentivized from providing care to those with cognitive impairment. Policy makers and researchers should carefully monitor home health access among Medicare beneficiaries with cognitive impairment and further investigate the inclusion of patient cognitive function in future risk adjustment models.

Identification of Dementia in Recent Medicare Claims Data, Compared With Rigorous Clinical Assessments

BACKGROUND

Medicare fee-for-service (FFS) claims data are increasingly leveraged for dementia research. Few studies address the validity of recent claim data to identify dementia, or carefully evaluate characteristics of those assigned the wrong diagnosis in claims.

METHODS

We used claims data from 2014 to 2018, linked to participants administered rigorous, annual dementia evaluations in 5 cohorts at the Rush Alzheimer's Disease Center. We compared prevalent dementia diagnosed through the 2016 cohort evaluation versus claims identification of dementia, applying the Bynum-standard algorithm.

RESULTS

Of 1 054 participants with Medicare Parts A and B FFS in a 3-year window surrounding their 2016 index date, 136 had prevalent dementia diagnosed during cohort evaluations; the claims algorithm yielded 217. Sensitivity of claims diagnosis was 79%, specificity 88%, positive predictive value 50%, negative predictive value 97%, and overall accuracy 87%. White participants were disproportionately represented among detected dementia cases (true positive) versus cases missed (false negative) by claims (90% vs 75%, respectively, p = .04). Dementia appeared more severe in detected than missed cases in claims (mean Mini-Mental State Exam = 15.4 vs 22.0, respectively, p < .001; 28% with no limitations in activities of daily living versus 45%, p = .046). By contrast, those with "over-diagnosis" of dementia in claims (false positive) had several worse health indicators than true negatives (eg, self-reported memory concerns = 51% vs 29%, respectively, p < .001; mild cognitive impairment in cohort evaluation = 72% vs 44%, p < .001; mean comorbidities = 7 vs 4, p < .001).

CONCLUSIONS

Recent Medicare claims perform reasonably well in identifying dementia; however, there are consistent differences in cases of dementia identified through claims than in rigorous cohort evaluations.

The APOE E4 Allele Is Associated with Faster Rates of Neuroretinal Thinning in a Prospective Cohort Study of Suspect and Early Glaucoma

Purpose

Design

Participants

Methods

Main Outcome Measures

Results

Conclusions

Cognitive impairment associated with greater care intensity during home health care

BACKGROUND

In Medicare-funded home health care (HHC), one in three patients has cognitive impairment (CI), but little is known about the care intensity they receive in this setting. Recent HHC reimbursement changes fail to adjust for patient CI, potentially creating a financial disincentive to caring for these individuals.

METHODS

This cohort study included a nationally representative sample of 1214 Medicare HHC patients between 2011 and 2016. Multivariable logistic and negative binomial regressions modelled the relationship between patient CI and care intensity-measured as the number and type of visits received during HHC and likelihood of receiving multiple successive HHC episodes.

RESULTS

Patients with CI had 45% (P < .05) greater odds of receiving multiple successive HHC episodes and received an additional 2.82 total (P < .001), 1.39 nursing (P = .003), 0.72 physical therapy (P = .03), and 0.60 occupational therapy visits (P = .01) during the index HHC episode.

DISCUSSION

Recent HHC reimbursement changes do not reflect the more intensive care needs of patients with CI.

Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening

BACKGROUND

Patients and their loved ones often report symptoms or complaints of cognitive decline that clinicians note in free clinical text, but no structured screening or diagnostic data are recorded. These symptoms/complaints may be signals that predict who will go on to be diagnosed with mild cognitive impairment (MCI) and ultimately develop Alzheimer's Disease or related dementias. Our objective was to develop a natural language processing system and prediction model for identification of MCI from clinical text in the absence of screening or other structured diagnostic information.

METHODS

There were two populations of patients: 1794 participants in the Adult Changes in Thought (ACT) study and 2391 patients in the general population of Kaiser Permanente Washington. All individuals had standardized cognitive assessment scores. We excluded patients with a diagnosis of Alzheimer's Disease, Dementia or use of donepezil. We manually annotated 10,391 clinic notes to train the NLP model. Standard Python code was used to extract phrases from notes and map each phrase to a cognitive functioning concept. Concepts derived from the NLP system were used to predict future MCI. The prediction model was trained on the ACT cohort and 60% of the general population cohort with 40% withheld for validation. We used a least absolute shrinkage and selection operator logistic regression approach (LASSO) to fit a prediction model with MCI as the prediction target. Using the predicted case status from the LASSO model and known MCI from standardized scores, we constructed receiver operating curves to measure model performance.

RESULTS

Chart abstraction identified 42 MCI concepts. Prediction model performance in the validation data set was modest with an area under the curve of 0.67. Setting the cutoff for correct classification at 0.60, the classifier yielded sensitivity of 1.7%, specificity of 99.7%, PPV of 70% and NPV of 70.5% in the validation cohort.

DISCUSSION AND CONCLUSION

Although the sensitivity of the machine learning model was poor, negative predictive value was high, an important characteristic of models used for population-based screening. While an AUC of 0.67 is generally considered moderate performance, it is also comparable to several tests that are widely used in clinical practice.

Characteristics of people living with undiagnosed dementia: findings from the CFAS Wales study

BACKGROUND

Many people living with dementia remain undiagnosed, with diagnosis usually occurring long after signs and symptoms are present. A timely diagnosis is important for the wellbeing of the person living with dementia and the family, allowing them to plan and have access to support services sooner. The aim of this study was to identify demographic characteristics and neuropsychiatric symptoms associated with being undiagnosed, which may help clinicians be more aware of signs that could be indicative of early-stage or undetected dementia.

METHODS

This cross-sectional study uses data from waves 1 and 2 (two years apart) of the Cognitive Function and Ageing Studies Wales (CFAS Wales). CFAS Wales participants were included who had a study assessment of dementia, as determined by the Automated Geriatric Examination for Computer Assisted Taxonomy (AGECAT) algorithm and by expert assessment, and who had had their primary care records checked for a clinical diagnosis of dementia. We identified 19 people with a diagnosis of dementia and 105 people living with undiagnosed dementia, and explored demographic characteristics and the presence or absence of a range of neuropsychiatric symptoms in the undiagnosed population using logistic regression.

RESULTS

Findings suggest that people living with dementia who have better cognition, have more years of education, or live in more deprived areas are less likely to have a diagnosis. In terms of neuropsychiatric symptoms, depression and sleep problems were associated with being undiagnosed. Apathy was common across all people living with dementia, but those with a diagnosis were more likely to have severe apathy.

CONCLUSIONS

This study has clinical practice implications as the findings may help clinicians be more aware of characteristics and symptoms of people who are undiagnosed or who are at greater risk of remaining undiagnosed, enabling them to be more vigilant in picking up signs of dementia at an earlier stage.

Racial/Ethnic Differences in Correspondence Between Subjective Cognitive Ratings and Cognitive Impairment

OBJECTIVES

Responding to racial/ethnic disparities in dementia diagnosis and care, we examined the role of race/ethnicity in the correspondence between subjective and objective ratings of cognitive impairment. Our examination focused on the two types of discordance: (1) positive ratings in the presence of cognitive impairment and (2) negative ratings in the absence of cognitive impairment.

DESIGN AND PARTICIPANTS

A cross-sectional assessment was conducted using the data from the Harmonized Cognitive Assessment Protocol project, a sub-study of the Health and Retirement Study. Our analytic sample included 3,096 participants: 2,257 non-Hispanic Whites, 498 Blacks, and 341 Hispanics.

MEASUREMENTS

Discordant groups were identified based on self-ratings of cognition (positive versus negative) and the Langa-Weir classification of cognitive impairment (normal versus impaired).

RESULTS

Blacks and Hispanics were more prone to falsely positive perceptions of their cognitive function in the presence of cognitive impairment than non-Hispanic Whites. On the other hand, non-Hispanic Whites were more likely to manifest negative ratings even in the absence of cognitive impairment.

CONCLUSION

Our findings demonstrate the critical role of race/ethnicity in determining discordance between subjective and objective measures of cognition and highlight the importance of a tailored effort to promote dementia diagnosis and care.

Changes in dementia diagnoses in Sweden during the COVID-19 pandemic

Introduction

The COVID-19 pandemic has caused large disruptions to healthcare systems. Refocus on COVID-19 related care might have contributed to indirect effects on other healthcare areas. Care focused on acute conditions have been negatively affected although research into the effects on chronic and care intensive patient groups such as patients with dementia diseases is lacking. In this study we evaluated dementia diagnosis trends in Sweden during 2015–2020 according to International Classification of Disease version 10 coding of common dementia diseases.

Methods

Regional and national statistics in the form of International Classification of Disease version 10 coding, COVID-19 incidence, mortality data, and population census data were collected from the National Institute of Health and Welfare. Logistic regression analysis was performed to identify trends of dementia diagnosis during 2015–2020. Correlation test was performed between COVID-19 incidence, mortality rates, and dementia coding.

Results

Dementia diagnosis incidence has been declining since 2015 and further decline was noted in many regions in Sweden during 2020. As COVID-19 incidence increased, fewer cases of dementia were diagnosed, a decrease that differentially impacted women and those who were advanced in age.

Conclusions

Dementia diagnosis incidence in Sweden has been on a decline since 2015. The COVID-19 pandemic caused a further larger decline in dementia diagnosis incidence during 2020. COVID-19 incidence, but not mortality, was associated with decrease in dementia diagnosis incidence. There might be a large number of undiagnosed patients with dementia and healthcare reforms should be enacted to address this. Women and elderly are particularly vulnerable groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03070-y.

Automatic Classification of Subjects of the PSEN1-E280A Family at Risk of Developing Alzheimer’s Disease Using Machine Learning and Resting State Electroencephalography

Background: The study of genetic variant carriers provides an opportunity to identify neurophysiological changes in preclinical stages. Electroencephalography (EEG) is a low-cost and minimally invasive technique which, together with machine learning, provide the possibility to construct systems that classify subjects that might develop Alzheimer’s disease (AD). Objective: The aim of this paper is to evaluate the capacity of the machine learning techniques to classify healthy Non-Carriers (NonCr) from Asymptomatic Carriers (ACr) of PSEN1-E280A variant for autosomal dominant Alzheimer’s disease (ADAD), using spectral features from EEG channels and brain-related independent components (ICs) obtained using independent component analysis (ICA). Methods: EEG was recorded in 27 ACr and 33 NonCr. Statistical significance analysis was applied to spectral information from channels and group ICA (gICA), standardized low-resolution tomography (sLORETA) analysis was applied over the IC as well. Strategies for feature selection and classification like Chi-square, mutual informationm and support vector machines (SVM) were evaluated over the dataset. Results: A test accuracy up to 83% was obtained by implementing a SVM with spectral features derived from gICA. The main findings are related to theta and beta rhythms, generated in the parietal and occipital regions, like the precuneus and superior parietal lobule. Conclusion: Promising models for classification of preclinical AD due to PSEN-1-E280A variant can be trained using spectral features, and the importance of the beta band and precuneus region is highlighted in asymptomatic stages, opening up the possibility of its use as a screening methodology.

Cognitive impairment and edentulism among older adults: an observational study using claims data

Background

The scientific link between mastication strength and cognitive function has not yet been strongly corroborated in population studies. Utilizing large-scale claims, we aim to investigate the association between edentulism and cognitive impairment in older American adults.

Methods

Using de-identified claims from a commercial insurer from 2015–2019, we conducted a retrospective cohort study using multilevel regression models to evaluate the association between denture status and clinically diagnosed cognitive impairment. Secondary analysis included symptomatic cognitive impairment in the outcome.

Results

Adjusting for individual-level risk factors, denture status was significantly associated with clinical cognitive impairment with odds ratios of 1.13 (95%CI: 1.02–1.25) and 1.26, (95%CI: 1.09–1.45) for complete dentures on one or both jaws, respectively. Including symptomatic cognitive impairment in the analysis did not substantially change our fundamental findings.

Conclusion

Prevention and treatment of oral diseases should be considered a key component in preserving the overall wellness of older adults.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02985-w.

The Immigrant Memory Collaborative: A Community-University Partnership to Assess African Immigrant Families' Experiences with Dementia

Research suggests a disparity in the prevalence of dementia, with Black older adults having double the risk compared to their White counterparts. African immigrants are a fast-growing segment of the U.S. Black population, but the dementia care needs and resources of this population are not fully understood. In this paper, we describe the process of working collaboratively with a community partner and project advisory board to conduct a culturally informed project. Specifically, we describe the process of developing culturally informed instruments to collect data on dementia care needs and resources among African immigrants. Working together with a diverse project advisory board, a guide was developed and used to conduct community conversations about experiences with dementia/memory loss. Transcripts from six conversations with 24 total participants were transcribed and analyzed thematically by two independent coders in Nvivo. These qualitative findings were used to inform the development of a survey for quantitative data collection that is currently ongoing. Themes (e.g., cultural attitudes, challenges, and current resources) from the community conversations that informed the survey are described briefly. Despite the challenges of conducting research during a global pandemic, having trusting relationships with a partnering community organization and project advisory board facilitated the successful development of instruments to conduct preliminary dementia care research in an underserved population. We anticipate that survey results will inform interventions that increase education, outreach, and access to dementia care and caregiving resources for this population. It may serve as a model for community–university partnerships for similar public health efforts in dementia as well as other chronic disease contexts.

2022 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report discusses consumers' and primary care physicians' perspectives on awareness, diagnosis and treatment of mild cognitive impairment (MCI), including MCI due to Alzheimer's disease. An estimated 6.5 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, the latest year for which data are available. Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States in 2019 and the seventh-leading cause of death in 2020 and 2021, when COVID-19 entered the ranks of the top ten causes 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%. More than 11 million family members and other unpaid caregivers provided an estimated 16 billion hours of care to people with Alzheimer's or other dementias in 2021. 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 $271.6 billion in 2021. 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 dementia care workforce have also been affected by COVID-19. As essential care workers, some have opted to change jobs to protect their own health and the health of their families. However, this occurs at a time when more members of the dementia care workforce are needed. 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 2022 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $321 billion. A recent survey commissioned by the Alzheimer's Association revealed several barriers to consumers' understanding of MCI. The survey showed low awareness of MCI among Americans, a reluctance among Americans to see their doctor after noticing MCI symptoms, and persistent challenges for primary care physicians in diagnosing MCI. Survey results indicate the need to improve MCI awareness and diagnosis, especially in underserved communities, and to encourage greater participation in MCI-related clinical trials.

Barriers to seeking care for memory problems: A vignette study

INTRODUCTION

This study compares how older adults judge the need for follow-up care for memory-related problems when they are responding about themselves versus someone of the same age.

METHODS

Adults ages 65 and over in the Understanding America Study, a nationally representative internet panel, were invited to participate in a short survey with three vignettes describing memory-related problems associated with normal aging, mild cognitive impairment, and mild dementia. Respondents were randomly assigned to vignettes about themselves or about an individual of the same age and asked whether the problems warranted follow-up discussion with a health-care provider. Unadjusted and covariate-adjusted differences in the percent of affirmative responses to follow-up discussion and an index, ranging from 0 to 3, that summed affirmative responses, were compared across respondents randomly assigned to self- versus other-framed vignettes.

RESULTS

One thousand six hundred twenty-eight panel members (81.6%) completed the survey (mean age, 72.3 [range, 65-102], 801 female [49.2%] and 827 male [50.8%]) with 796 (48.9%) randomly assigned to vignettes about themselves and 832 (51.1%) to vignettes about individuals of the same age. Percent affirming need for follow-up ranged from 66.9% to 90.5% and was systematically lower for those randomized to vignettes about themselves. The differences ranged from -10.8 percentage points (95% confidence interval [CI], -13.6 to -7.9 percentage points) for the most severe to -13.9 percentage points (95% CI, -18.1 to -9.7 percentage points) for the mildest memory-related problem vignettes. The summary index was -0.444 points (95% CI, 0.563 to -0.326) or 0.491 of a standard deviation (95% CI, 0.622σ to -0.362σ) lower for scenarios about participants themselves relative to others.

DISCUSSION

Seniors were more likely to recognize and recommend follow-up for memory-related problems affecting someone else than the same problems affecting themselves, suggesting symptom education alone may not improve rates of cognitive assessment for detection of impairment and dementia.

Factors affecting cognitive dysfunction screening for Latinx adults with type 2 diabetes

Aim

To examine influences on screening of Latinx adults with type 2 diabetes for cognitive problems by identifying patient-, clinician-, and clinic-level factors.

Methods

This was a mixed methods study consisting of semi-structured interviews with Latinx adults with type 2 diabetes (n = 30; mean age = 68; 57% Mexican American) and surveys and interviews with health care providers (n = 15) in Central Texas. Data were examined with thematic analysis (interviews) and descriptive statistics (surveys and inventories).

Results

For the interviewed patients, screening was important, but inability to work related to a possible diagnosis of dementia was a concern. Both providers and patients agreed that other health issues (e.g., hyperglycemia) took precedence over cognitive screening. Providers (96.7%) were expected to screen patients but lacked clinic support and time; they relied on patients for initial prompts. Only one clinic required staff education on cognitive screening, with an emphasis on potential cultural differences in test results and adequate resources related to dementia for Latinx adults.

Conclusions

Clinics serving Latinx adults have a responsibility to deliver appropriate care. Leadership should consider innovative practices such as the creation, with patients, of educational materials for screening-a need highlighted by most participants.

Potential determinants of unfavourable healthcare utilisation trajectories during the last year of life of people with incident Alzheimer Disease or Related Syndromes: a nationwide cohort study using administrative data

BACKGROUND

people approaching the end-of-life frequently face inappropriate care. With Alzheimer Disease or Related Syndromes (ADRS), end-of-life is characterised by progressive decline, but this period remains difficult to identify. This leads to a lack of anticipation and sometimes with unfavourable healthcare utilisation trajectories (HUTs).

OBJECTIVE

to quantify unfavourable HUTs during the last year of life and identify their potential determinants in both community and nursing-home settings.

DESIGN

nationwide cohort study using administrative database.

SETTING

French community and nursing-home residents.

SUBJECTS

incident ADRS people identified in 2012, who died up to 31 December 2017.

METHODS

we used multidimensional clustering to identify 15 clusters of HUTs, using 11 longitudinal healthcare dimensions during the last year of life. Clusters were qualitatively assessed by pluri-disciplinary experts as favourable or unfavourable HUTs. Individual and contextual potential determinants of unfavourable HUTs were studied by setting using logistic random-effect regression models.

RESULTS

62,243 individuals died before 31 December 2017; 46.8% faced unfavourable end-of-life HUTs: 55.2% in the community and 31.8% in nursing-homes. Individual potential determinants were identified: younger age, male gender, ADRS identification through hospitalisation, shorter survival, life-limiting comorbidities, psychiatric disorders, acute hospitalisations and polypharmacy. In the community, deprivation and autonomy were identified as potential determinants. Contextual potential determinants raised mostly in the community, such as low nurse or physiotherapist accessibilities.

CONCLUSIONS

Nearly half of people with ADRS faced unfavourable HUTs during their last year of life. Individual potential determinants should help anticipate advance care planning and palliative care needs assessment. Contextual potential determinants suggest geographical disparities and health inequalities.

HCBS Service Spending and Nursing Home Placement for Patients With Alzheimer's Disease and Related Dementias: Does Race Matter?

OBJECTIVES

We examined the extent to which home and community-based services (HCBS) spending affected the likelihood of nursing home (NH) placement among black and white HCBS users with Alzheimer's disease and related dementias (ADRD).

METHODS

The study population included new HCBS users with ADRD between 2010 and 2013 (N = 1,046,200).

RESULTS

We found that a one hundred dollar increase in monthly HCBS spending was associated with a 0.3 percentage points decrease in the NH placement rate among Whites, but a 0.3 percentage points increase in the NH placement rate among Blacks. The overall NH placement rate was 68.2% and 56.7% for Whites and Blacks, respectively.

DISCUSSION

A higher HCBS spending was associated with a decreased likelihood of NH placements for Whites but not for Blacks. It is important to understand how states' HCBS expansion efforts influence Blacks and Whites with ADRD so that resources can be tailored to communities with different race-mix.

Risk of early- and late-onset Alzheimer disease and related dementia in adults with cerebral palsy

AIM

To examine the risk of Alzheimer disease and related dementia (ADRD) among adults with cerebral palsy (CP).

METHOD

Using administrative insurance claims data for 2007 to 2017 in the USA, we identified adults (45y or older) with a diagnosis of CP (n=5176). Adults without a diagnosis of CP were included as a typically developing comparison group (n=1 119 131). Using age, sex, ethnicity, other demographic variables, and a set of chronic morbidities, we propensity-matched individuals with and without CP (n=5038). Cox survival models were used to estimate ADRD risk within a 3-year follow up.

RESULTS

The unadjusted incidence of ADRD was 9 and 2.4 times higher among cohorts of adults 45 to 64 years (1.8%) and 65 years and older (4.8%) with CP than the respective unmatched individuals without CP (0.2% and 2.0% among 45-64y and 65y or older respectively). Fully adjusted survival models indicated that adults with CP had a greater hazard for ADRD (among 45-64y: unmatched hazard ratio 7.48 [95% confidence interval {CI} 6.05-9.25], matched hazard ratio 4.73 [95% CI 2.72-8.29]; among 65y or older: unmatched hazard ratio 2.21 [95% CI 1.95-2.51], matched hazard ratio 1.73 [1.39-2.15]).

INTERPRETATION

Clinical guidelines for early screening of cognitive function among individuals with CP need updating, and preventative and/or therapeutic services should be used to reduce the risk of ADRD.

Retinal Biomarkers for Alzheimer Disease: The Facts and the Future

ABSTRACT

Alzheimer disease (AD) is a significant cause of morbidity and mortality worldwide, with limited treatment options and considerable diagnostic challenges. Identification and validation of retinal changes that correlate with clinicopathologic features of AD could provide a noninvasive method of screening and monitoring progression of disease, with notable implications for developing new therapies, particularly in its preclinical stages. Retinal biomarkers that have been studied to date include structural changes in neurosensory retinal layers, alterations in vascular architecture and function, and pathologic deposition of proteins within the retina, which have all demonstrated variable correlation with the presence of preclinical or clinical AD. Evolution of specialized retinal imaging modalities and advances in artificial intelligence hold great promise for future study in this burgeoning field. The current status of research in retinal biomarkers, and some of the challenges that will need to be addressed in future work, are reviewed herein.

Dementia diagnosis in the hospital and outcomes among patients with advanced dementia documented in the Minimum Data Set

BACKGROUND

Individuals with dementia do not always have a diagnosis of dementia noted on their hospital claims. Whether this lack of documentation is associated with patient outcomes is unknown. We examined the association between a dementia diagnosis listed on a hospital claim and patient outcomes among individuals with a Minimum Data Set (MDS) assessment.

METHODS

A retrospective cohort study was conducted using administrative claims data and nursing home MDS assessments. Hospitalized patients aged 66 and older with advanced dementia noted on an MDS assessment completed within 120 days prior to their first hospitalization in 2017 were included. Advanced dementia was defined based on an MDS diagnosis of dementia, dependency in four or more activities of daily living, and a Cognitive Function Scale score indicative of moderate to severe impairment. Multilevel regression with a random intercept at the hospital level was used to examine the relationship between documentation of dementia in inpatient hospital Medicare claims and the following patient outcomes after adjusting for patient and hospital characteristics: invasive mechanical ventilation (IMV) use, intensive care unit or coronary care unit (ICU/CCU) use, 30-day mortality, and hospital length of stay (LOS).

RESULTS

In 2017, among 120,989 patients with advanced dementia and a nursing home stay, 90.57% had a dementia diagnosis on their hospital claims. In adjusted models, documentation of a dementia diagnosis was associated with lower use of the ICU/CCU (adjusted odds ratio [AOR]: 0.78 [95% confidence interval 0.74, 0.81]), use of IMV (AOR: 0.50 [0.47, 0.54]), and 30-day mortality (AOR: 0.81 [0.77, 0.85]). Patients with a dementia diagnosis had a shorter LOS.

CONCLUSIONS

Among patients with advanced dementia, those whose dementia diagnosis was documented on their inpatient hospital Medicare claim experienced lower use of ICU/CCU, use of IMV, lower 30-day mortality, and shorter LOS than those whose diagnosis was not documented.

Diagnosis of Alzheimer's disease and related dementia among people with multiple sclerosis: Large cohort study, USA

BACKGROUND

Alzheimer's disease and related dementia (ADRD) and multiple sclerosis (MS) are two neurodegenerative diseases with some shared pathophysiological characteristics. While the salient attribute of ADRD is a progressive decline in cognitive function, MS is mainly known for causing physical weakness, vision loss, and muscle stiffness. Progressive cognitive decline, however, is not uncommon among MS patients, and many case reports of MS were indicative of ADRD coexistence. Due to a lack of large epidemiological studies on this topic, we aimed to examine time to diagnosis of and adjusted hazard for ADRD using administrative claims data, comparing adults with and without MS.

METHODS

Using 2007-2017 private claims data from Optum Clinformatics Data Mart in the U.S., we identified adults (45+) with a MS diagnosis (n = 6151) as well as adults without MS for comparison (n = 916,143). We propensity score matched people with MS with those without (n = 6025) using age, sex, race/ethnicity, chronic conditions including cardiometabolic, psychologic, and musculoskeletal, U.S. Census Division, and socioeconomic variables. In addition to incidence estimates of ADRD diagnosis compared at 4-years, survival models were utilized to quantify unadjusted, fully adjusted, and adjusted propensity-matched hazard ratios.

RESULTS

Unmatched data revealed that incidence of early-onset ADRD diagnosis was 7 times higher among adults 45-64 years old with MS (1.4%) compared to those without (0.2%); among older adults (65+) with MS, incident ADRD was 4.0% compared to 3.3% among those without MS. Adjusted survival models indicated that adults with MS had a substantially high risk for early-onset ADRD diagnosis (among 45-64 years old: unmatched hazard ratio (HR): 4.25 (95% CI: 3.40 -5.32), matched HR: 4.49 (95% CI:2.62-7.69); among 65+ years old: unmatched HR: 1.39 (95% CI: 1.22, 1.58), matched HR: 1.26 (1.04, 1.54)).

CONCLUSIONS

Individuals with MS had a greater incidence of and risk for early- and late-onset ADRD diagnosis compared to those without MS. It is not clear whether this greater risk is due to an accelerated dementia risk or at least partially due to clinical misdiagnosis. Advancements in the development of clinical and imaging biomarkers should be more commonly used in clinical settings to facilitate future research on this topic.

Acute care utilization risk among older adults living undiagnosed or unaware of dementia

BACKGROUND

Dementia is associated with increased risk of hospitalization and emergency department (ED) visits. Many persons with dementia are undiagnosed or unaware of their diagnosis, however. Our objective was to determine whether undiagnosed dementia or unawareness affects risk of hospitalization or ED visits.

METHODS

Retrospective longitudinal cohort study of 3537 community-living adults age ≥65 enrolled in the 2011-2017 National Health and Aging Trends Study with linked fee-for-service Medicare claims. Using self or proxy reported diagnosis, proxy dementia screening questionnaire, cognitive testing, and Medicare claims diagnosis, participants were classified as having (1) no dementia or dementia, for which they were classified as (2) undiagnosed, (3) diagnosed but unaware, or (4) diagnosed and aware. Proportional hazards models evaluated all-cause and potentially preventable hospitalization and ED visit risk by time-varying dementia status, adjusting for older adult characteristics.

RESULTS

Most participants (n = 2879) had no dementia at baseline. Among participants with dementia at baseline (n = 658), 187 were undiagnosed, 300 diagnosed but unaware, and 171 diagnosed and aware. In multivariable adjusted proportional hazards models, persons with undiagnosed dementia had lower risk of hospitalization and ED visits compared to persons diagnosed and aware (all-cause hospitalization aHR 0.59 [0.44, 0.79] and ED visit aHR 0.63 [0.47, 0.85]) and similar risks of these outcomes compared to persons without dementia. Individuals diagnosed but unaware had greater risk compared to those without dementia: aHR 1.37 (1.18, 1.59) for all-cause hospitalization and 1.48 (1.28, 1.71) for ED visits; they experienced risk comparable to individuals diagnosed and aware.

CONCLUSION

Older adults with undiagnosed dementia are not at increased risk of acute care utilization after accounting for differences in other characteristics. Individuals unaware of diagnosed dementia demonstrate risk similar to individuals aware of the diagnosis. Increasing diagnosis alone may not affect acute care utilization. The role of awareness warrants further investigation.

Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients

OBJECTIVE

To validate a previously published machine learning model of delirium risk in hospitalized patients with coronavirus disease 2019 (COVID-19).

METHOD

Using data from six hospitals across two academic medical networks covering care occurring after initial model development, we calculated the predicted risk of delirium using a previously developed risk model applied to diagnostic, medication, laboratory, and other clinical features available in the electronic health record (EHR) at time of hospital admission. We evaluated the accuracy of these predictions against subsequent delirium diagnoses during that admission.

RESULTS

Of the 5102 patients in this cohort, 716 (14%) developed delirium. The model's risk predictions produced a c-index of 0.75 (95% CI, 0.73-0.77) with 27.7% of cases occurring in the top decile of predicted risk scores. Model calibration was diminished compared to the initial COVID-19 wave.

CONCLUSION

This EHR delirium risk prediction model, developed during the initial surge of COVID-19 patients, produced consistent discrimination over subsequent larger waves; however, with changing cohort composition and delirium occurrence rates, model calibration decreased. These results underscore the importance of calibration, and the challenge of developing risk models for clinical contexts where standard of care and clinical populations may shift.

Pilot testing of a dementia literacy intervention for Korean American elders with dementia and their caregivers

BACKGROUND AND AIM

To test the feasibility and acceptability of a dementia literacy intervention for Korean American (KA) elders with dementia and their caregivers: K-PLAN (Preparing successful aging through dementia Literacy education And Navigation).

METHOD

Twenty cognitively impaired Korean elders (Clinical Dementia Rating 1+) and their caregivers participated in a pilot trial to receive the K-PLAN intervention, which consisted of 1-h dementia literacy education followed by monthly phone counseling sessions and navigation assistance for 3 months by a trained bilingual community health worker. Outcomes of interest were linkage to medical services for dementia evaluation (KA elders) and dementia literacy, social support, self-efficacy in dementia care, depression, and quality of life (caregivers). Using a one-group pre-and post-test design, all ten dyads were followed up at 12 weeks.

RESULTS

The K-PLAN intervention was highly feasible and acceptable. We were able to retain all twenty participants over the study period (100% retention rate). In addition, 100% of the caregivers would recommend the program with an overall satisfaction rating of 9.7 on a 1-10-point scale. Three of the elders (30%) were linked to medical services for dementia by medical record review. The effect sizes for caregiver outcomes ranged from 0.4 to 0.7 in absolute value.

CONCLUSION

Dementia literacy intervention has the potential to promote linkage to medical services for dementia evaluation and early diagnosis among linguistically isolated KA elders while improving caregiver psychological outcomes. Studies with larger sample sizes, comparison groups, and cost-effective analyses are needed to inform the application of K-PLAN in diverse community settings.

RELEVANCE FOR PATIENTS

Early diagnosis of dementia can help preserve functional status. Promoting dementia literacy and linkage to health services through community-based programs such as K-PLAN may enable underserved racial/ethnic minority communities to make timely follow-up for dementia evaluation and care planning.

Hearing Assessment and Rehabilitation for People Living With Dementia

Hearing impairment commonly co-occurs with dementia. Audiologists, therefore, need to be prepared to address the specific needs of people living with dementia (PwD). PwD have needs in terms of dementia-friendly clinical settings, assessments, and rehabilitation strategies tailored to support individual requirements that depend on social context, personality, background, and health-related factors, as well as audiometric HL and experience with hearing assistance. Audiologists typically receive limited specialist training in assisting PwD and professional guidance for audiologists is scarce. The aim of this review was to outline best practice recommendations for the assessment and rehabilitation of hearing impairment for PwD with reference to the current evidence base. These recommendations, written by audiology, psychology, speech-language, and dementia nursing professionals, also highlight areas of research need. The review is aimed at hearing care professionals and includes practical recommendations for adapting audiological procedures and processes for the needs of PwD.

Assessment of frailty in elderly patients attending a multidisciplinary wound care centre: a cohort study

BACKGROUND

The incidence of frailty and non-healing wounds increases with patients' age. Knowledge of the relationship between frailty and wound healing progress is greatly lacking.

METHODS

The aim of this study is to characterize the degree of frailty in elderly patients attending a multidisciplinary wound care centres (MWCC). Additionally, we seek to assess the impact of frailty on the wound healing rate and wound healing time. An open cohort study was conducted on 51 consecutive patients aged > 70 years treated for wounds at an MWCC of an intermediate care hospital. The frailty score was determined according to the Frail-VIG index. Data were collected through patient questionnaires at the beginning of the study, and at 6 months or upon wound healing. Wounds were followed up every 2 weeks. To analyse the relationship between two variables was used the Chi-square test and Student's or the ANOVA model. The t-test for paired data was used to analyse the evolution of the frailty index during follow-up.

RESULTS

A total of 51 consecutive patients were included (aged 81.1 ± 6.1 years). Frailty prevalence was 74.5% according to the Frail-VIG index (47.1% mildly frail, 19.6% moderately frail, and 7.8% severely frail). Wounds healed in 69.6% of cases at 6 months. The frailty index (FI) was higher in patients with non-healing wounds in comparison with patients with healing wounds (IF 0.31 ± 0.15 vs IF 0.24 ± 0.11, p = 0.043). A strong correlation between FI and wound healing results was observed in patients with non-venous ulcers (FI 0.37 ± 0.13 vs FI 0.27 ± 0.10, p = 0.015). However, no correlation was observed in patients with venous ulcers (FI 0.17 ± 0.09 vs FI 0.19 ± 0.09, p = 0.637). Wound healing rate is statically significantly higher in non-frail patients (8.9% wound reduction/day, P25-P75 3.34-18.3%/day;AQ6 p = 0.044) in comparison with frail patients (3.26% wound reduction/day, P25-P75 0.8-8.8%/day).

CONCLUSION

Frailty is prevalent in elderly patients treated at an MWCC. Frailty degree is correlated with wound healing results and wound healing time.