The Dementia Severity Rating Scale predicts clinical dementia rating sum of boxes scores

Identifying Dementia Severity Among People Living With Dementia Using Administrative Claims Data

OBJECTIVES

There is currently no reliable tool for classifying dementia severity level based on administrative claims data. We aimed to develop a claims-based model to identify patients with severe dementia among a cohort of patients with dementia.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

We identified people living with dementia (PLWD) in US Medicare claims data linked with the Minimum Data Set (MDS) and Outcome and Assessment Information Set (OASIS).

METHODS

Severe dementia was defined based on cognitive and functional status data available in the MDS and OASIS. The dataset was randomly divided into training (70%) and validation (30%) sets, and a logistic regression model was developed to predict severe dementia using baseline (assessed in the prior year) features selected by generalized linear mixed models (GLMMs) with least absolute shrinkage and selection operator (LASSO) regression. We assessed model performance by area under the receiver operating characteristic curve (AUROC), area under precision-recall curve (AUPRC), and precision and recall at various cutoff points, including Youden Index. We compared the model performance with and without using Synthetic Minority Oversampling Technique (SMOTE) to reduce the imbalance of the dataset.

RESULTS

Our study cohort included 254,410 PLWD with 17,907 (7.0%) classified as having severe dementia. The AUROC of our primary model, without SMOTE, was 0.81 in the training and 0.80 in the validation set. In the validation set at the optimized Youden Index, the model had a sensitivity of 0.77 and specificity of 0.70. Using a SMOTE-balanced validation set, the model had an AUROC of 0.83, AUPRC of 0.80, sensitivity of 0.79, specificity of 0.74, positive predictive value of 0.75, and negative predictive value of 0.78 when at the optimized Youden Index.

CONCLUSIONS AND IMPLICATIONS

Our claims-based algorithm to identify patients living with severe dementia can be useful for claims-based pharmacoepidemiologic and health services research.

ESPEN guideline on nutrition and hydration in dementia - Update 2024

BACKGROUND & AIMS

Dementia is accompanied by a variety of changes that result in an increased risk of malnutrition and low-intake dehydration. This guideline update aims to give evidence-based recommendations for nutritional care of persons with dementia in order to prevent and treat these syndromes.

METHODS

The previous guideline version was reviewed and expanded in accordance with the standard operating procedure for ESPEN guidelines. Based on a systematic search in three databases, strength of evidence of appropriate literature was graded by use of the SIGN system. The original recommendations were reviewed and reformulated, and new recommendations were added, which all then underwent a consensus process.

RESULTS

40 recommendations for nutritional care of older persons with dementia were developed and agreed, seven at institutional level and 33 at individual level. As a prerequisite for good nutritional care, organizations caring for persons with dementia are recommended to employ sufficient qualified staff and offer attractive food and drinks with choice in a functional and appealing environment. Nutritional care should be based on a written care concept with standardized operating procedures. At the individual level, routine screening for malnutrition and dehydration, nutritional assessment and close monitoring are unquestionable. Oral nutrition may be supported by eliminating potential causes of malnutrition and dehydration, and adequate social and nursing support (including assistance, utensils, training and oral care). Oral nutritional supplements are recommended to improve nutritional status but not to correct cognitive impairment or prevent cognitive decline. Routine use of dementia-specific ONS, ketogenic diet, omega-3 fatty acid supplementation and appetite stimulating agents is not recommended. Enteral and parenteral nutrition and hydration are temporary options in patients with mild or moderate dementia, but not in severe dementia or in the terminal phase of life. In all stages of the disease, supporting food and drink intake and maintaining or improving nutrition and hydration status requires an individualized, comprehensive approach. Due to a lack of appropriate studies, most recommendations are good practice points.

CONCLUSION

Nutritional care should be an integral part of dementia management. Numerous interventions are available that should be implemented in daily practice. Future high-quality studies are needed to clarify the evidence.

An observational study protocol to capture, validate and characterise lucid episodes in people living with advanced dementia receiving hospice care

INTRODUCTION

Lucid episodes (LEs) in advanced neurodegenerative disease, characterised by a transient recovery of abilities, have been reported across neurological conditions, including Alzheimer's disease and related dementias. Evidence on LEs in dementia is extremely limited and draws predominantly from retrospective case reports. Lucidity in dementia has received growing attention given the clinical, caregiving and potential epidemiological implications of even a temporary return of abilities in advanced disease. Following a funding initiative by the National Institute on Aging, several new investigations are focused on establishing foundational evidence on lucidity in dementia. The objectives of this study are to capture, characterise and validate potential LEs via audiovisual observation, computational linguistic and timed-event coding of audiovisual data, and informant case review for face validation of LEs.

METHODS AND ANALYSIS

This prospective multifaceted observational study will investigate LEs in advanced dementia through longitudinal audiovisual observation within an inpatient hospice unit. Audiovisual data will be coded to generate variables of participant verbal output, verbal expressions, non-verbal communicative actions and functional behaviours to enable measurement of features that can be used to characterise LEs. Multiple methods will be used to identify potential LEs including field interviews with caregivers/clinicians who witness significant events during data collection, reports from research staff who witness significant events during data collection and detection by researchers during video data processing procedures. Potential LEs will undergo a structured case review with informants familiar with the participant to facilitate validation and enable triangulation across measures generated through coding.

ETHICS AND DISSEMINATION

This study will be conducted in accordance with all Federal Policies for the Protection of Human Subjects and the protocol (ID 2021-1243) has been approved by the University of Wisconsin-Madison Institutional Review Board. Findings will be disseminated via scientific conferences, journal publications and newsletters shared with participants and through dementia-focused and caregiver-focused networks.

Daytime Sleepiness Predicts Mortality in Nursing Home Residents: Findings from the Frailty in Residential Aged Care Sector Over Time (FIRST) Study

OBJECTIVES

Excessive daytime sleepiness is an increasingly frequent condition among older adults with comorbidities and living in nursing homes (NHs). This study investigated associations between participants' characteristics and excessive daytime sleepiness (EDS); the ability of the Epworth Sleepiness Scale (ESS) scores, EDS, and EDS severity levels to predict mortality at 12 months of follow-up; and the optimal cut-off for ESS to predict mortality among NH residents.

DESIGN

Prospective and cross-sectional analysis in a prospective study.

SETTING AND PARTICIPANTS

Older adults permanently residing in 12 NHs from South Australia.

METHODS

Baseline characteristics including the ESS were collected and mortality at 12 months was assessed. Logistic regression analyzed associations between participants' characteristics and EDS (ESS >10). Kaplan-Meier cumulative survival estimates followed by log-rank and adjusted Cox proportional hazards models explored associations of ESS scores, EDS, and EDS severity levels with time-to-incident death. Receiver operator curve analysis assessed the best cut-off for ESS to predict mortality risk.

RESULTS

A total of 550 participants [mean (SD) age, 87.7 (7.2) years; 968 (50.9%) female]. Malnutrition [adjusted odds ratio (aOR) 2.02, 95% confidence interval (CI) 1.13‒3.61], myocardial infarction (aOR 1.91, 95% CI 1.20‒3.03), heart failure (aOR 2.85, 95% CI 1.68‒4.83), Parkinson's disease (aOR 2.16, 95% CI 1.04‒4.47) and severe dementia (aOR 8.57, 95% CI 5.25‒14.0) were associated with EDS. Kaplan-Meier analyses showed reduced survival among participants with EDS (log-rank test: χ2 = 25.25, P < .001). EDS predicted increased mortality risk (HR 1.63, 95% CI 1.07-2.51, P = .023). ESS score of 10.5 (>10) was the best cut point predicting mortality risk (area under the curve = 0.62).

CONCLUSIONS AND IMPLICATIONS

EDS predicts mortality risk and is associated with age-related comorbidities in NH residents. Screening for EDS is a simple strategy to identify NH residents at higher risk of adverse outcomes, triggering an assessment for reversibility or conversations about end-of-life care.

A Remotely Coached Multimodal Lifestyle Intervention for Alzheimer's Disease Ameliorates Functional and Cognitive Outcomes

BACKGROUND

Comprehensive treatment of Alzheimer's disease and related dementias (ADRD) requires not only pharmacologic treatment but also management of existing medical conditions and lifestyle modifications including diet, cognitive training, and exercise. Personalized, multimodal therapies are needed to best prevent and treat Alzheimer's disease (AD).

OBJECTIVE

The Coaching for Cognition in Alzheimer's (COCOA) trial was a prospective randomized controlled trial to test the hypothesis that a remotely coached multimodal lifestyle intervention would improve early-stage AD.

METHODS

Participants with early-stage AD were randomized into two arms. Arm 1 (N = 24) received standard of care. Arm 2 (N = 31) additionally received telephonic personalized coaching for multiple lifestyle interventions. The primary outcome was a test of the hypothesis that the Memory Performance Index (MPI) change over time would be better in the intervention arm than in the control arm. The Functional Assessment Staging Test was assessed for a secondary outcome. COCOA collected psychometric, clinical, lifestyle, genomic, proteomic, metabolomic, and microbiome data at multiple timepoints (dynamic dense data) across two years for each participant.

RESULTS

The intervention arm ameliorated 2.1 [1.0] MPI points (mean [SD], p = 0.016) compared to the control over the two-year intervention. No important adverse events or side effects were observed.

CONCLUSION

Multimodal lifestyle interventions are effective for ameliorating cognitive decline and have a larger effect size than pharmacological interventions. Dietary changes and exercise are likely to be beneficial components of multimodal interventions in many individuals. Remote coaching is an effective intervention for early stage ADRD. Remote interventions were effective during the COVID pandemic.

Cognitive training for elderly patients with early Alzheimer’s disease in the Qinghai-Tibet Plateau: A pilot study

BACKGROUND

Alzheimer’s disease (AD) influences the social and economic quality of life of older adult patients and their families.

AIM

To explore the efficacy of cognitive training in clinical nursing for patients with early AD residing in the plateau area.

METHODS

This pilot study was conducted in patients with early AD treated in the Geriatric Department of the Qinghai Provincial People’s Hospital between August 2019 and March 2021. The patients were divided into a cognitive training group and a conventional nursing group using the random number table method. Patients in the conventional nursing group received conventional nursing, whereas the patients in the cognitive training group received the new nursing intervention. The mini-mental state examination (MMSE) and activities of daily living (ADL) scales were used to compare the cognitive ability and daily activities, respectively, between the two groups before and after the intervention.

RESULTS

Sixty patients were enrolled in this study, with 30 patients in the cognitive training group and conventional nursing group, respectively. The MMSE and ADL scores were significantly higher in the cognitive training group than in the conventional nursing group after the intervention (MMSE: 25.11 ± 2.02 vs 22.26 ± 1. 23, P = 0.032; ADL: 68.72 ± 4.86 vs 60.16 ± 2.27, P = 0.018).

CONCLUSION

The application of cognitive training in clinical nursing for patients with early AD could improve both their cognitive ability and ADL. This method could be applied in clinical practice to manage cognitive dysfunction in patients with early AD.

Challenges and Opportunities in Conducting Research with Older Adults with Dementia during COVID ‐19 and Beyond

The coronavirus disease 19 (COVID‐19) pandemic has created significant and new challenges for the conduct of clinical research involving older adults with Alzheimer's disease and related dementias (ADRD). It has also stimulated positive adaptations in methods for engaging older adults with ADRD in research, particularly through the increased availability of virtual platforms. In this paper, we describe how we adapted standard in‐person participant recruitment and qualitative data collection methods for virtual use in a study of decision‐making experiences in older adults with ADRD. We describe key considerations for the use of technology and virtual platforms and discuss our experience with using recommended strategies to recruit a diverse sample of older adults. We highlight the need for research funding that supports the community‐based organizations on which improving equity in ADRD research participation often depends.

Cognitive Trajectories Following Acute Infection in Older Patients With and Without Cognitive Impairment: An 1-Year Follow-Up Study

Introduction: Dementia is a known risk factor for both delirium and acute systemic infections which may also play a significant role in promoting or accelerating neurodegenerative disease. Infections are both the main causes of hospitalization of dementia patients and can be a major precipitant of delirium but currently it is not possible to predict the risk of cognitive decline in older patients exposed to acute infection. Objectives: We aimed to determine the level of cognitive change at 1-year follow up in individuals with different patterns of cognitive function (dementia, delirium, delirium superimposed on dementia) at the time of their hospitalization due to a systemic infection and to correlate these cognitive patterns with clinical status variables. Methods: We recruited 53 hospitalized geriatric patients with a systemic infection, and we collected 12-months follow up data for 34 patients. These patients were classified in four groups: no cognitive impairment (controls-C), delirium only (D), dementia only (Dem), and delirium superimposed to dementia (DD). Cognitive performance was measured by change in score on the Montreal Cognitive Assessment (MoCA) and delirium was identified using Confusion Assessment Measure (CAM). We examined performance on the MoCA in the first year after hospitalization, controlling for demographic characteristics, coexisting medical conditions, and type of infection. Results: For the 34 patients to whom follow-up data was available, delirium presence in individuals with prior dementia (DD group) was associated with a negative mean change score of 3-point (p < 0.02) at 1 year follow up, whereas dementia patients without delirium had a mean change score of 1.5-point lower at 12-months (p = 0.04), when comparing follow-up and baseline MoCA scores. Cognitively healthy patients did not significantly decrease their MoCA score at follow-up (p = 0.15). MoCA and NPI scores during hospitalization were significantly correlated with the level of cognitive decline in the four groups (r = 0.658, p < 0.01 and r = 0.439, p = 0.02, respectively). Conclusions: Premorbid dementia and delirium superimposed on dementia during hospitalization in older patients with acute infections predict cognitive decline at 1 year following admission. Taken together, our findings suggest a pathophysiological interaction between neurodegenerative changes, acute infection, and delirium.

The Frailty In Residential Sector over Time (FIRST) study: methods and baseline cohort description

BACKGROUND

The Frailty In Residential Sector over Time (FIRST) Study is a 3-year prospective cohort study investigating the health of residents living in residential aged care services (RACS) in South Australia. The study aims to examine the change in frailty status and associated health outcomes.

METHODS

This interim report presents data from March 2019-October 2020. The study setting is 12 RACS from one organisation across metropolitan and rural South Australia involving 1243 residents. All permanent (i.e. respite or transition care program excluded) residents living in the RACS for at least 8 weeks were invited to participate. Residents who were deemed to be medically unstable (e.g. experiencing delirium), have less than 3 months to live, or not fluent in English were excluded. Data collected included frailty status, medical diagnoses, medicines, pain, nutrition, sarcopenia, falls, dementia, anxiety and depression, sleep quality, quality of life, satisfaction with care, activities of daily living, and life space use at baseline and 12-months. Data Linkage will occur over the 3 years from baseline.

RESULTS

A total of 561 permanent residents (mean age 87.69 ± 7.25) were included. The majority of residents were female (n = 411, 73.3%) with 95.3% (n = 527) being classified as either frail (n = 377, 68.2%) or most-frail (n = 150, 27.1%) according to the Frailty Index (FI). Most residents were severely impaired in their basic activities of daily living (n = 554, 98.8%), and were at-risk of malnutrition (n = 305, 55.0%) and at-risk of sarcopenia (n = 492, 89.5%). Most residents did not experience pain (n = 475, 85.4%), had normal daytime sleepiness (n = 385, 69.7%), and low anxiety and depression scores (n = 327, 58.9%).

CONCLUSION

This study provides valuable information on the health and frailty levels of residents living in RACS in South Australia. The results will assist in developing interventions that can help to improve the health and wellbeing of residents in aged care services.

TRIAL REGISTRATION

Prospectively registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12619000500156 ).

Characterizing dementia caregiver style in managing care challenges: Cognitive and behavioral components

BACKGROUND

Caring for a person living with dementia can take a physical and emotional toll, but understudied is the process by which family caregivers actually provide care. Caregiver management styles may vary and affect care decision-making, experiences, receptivity to and participation in interventions, and outcomes for the caregiver and person living with dementia.

METHODS

Participants included 100 primary family caregivers for persons with dementia who were on average 64 years old and had been providing care for 55 months, 74% women, and 18% nonwhite. Participants were interviewed in Michigan and Ohio regarding their cognitive and behavioral management of a recent care challenge and values guiding their decision-making. The rigorous and accelerated data reduction technique was used to analyze qualitative data leading to the identification of caregiving styles. Styles were compared across sample characteristics using chi-square and ANOVA tests.

FINDINGS

Five distinct styles emerged: "Externalizers" (superficial understanding, self-focused, and frequent expressions of anger or frustration), "Individualists" (provide care by going alone, emotionally removed, and lack management strategies), "Learners" (recognize need to change their approach but are stuck and emotionally turbulent), "Nurturers" (positive affect and empathy toward care and reflect natural mastery), and "Adapters" (arsenal of acquired management strategies and adapt to challenges). Style groups differed significantly in terms of age and use of formal care supports.

DISCUSSION

We identified five distinct styles by which caregivers addressed care challenges using a robust qualitative methodology. Styles may be important to identify in order to better tailor interventions to needs and abilities.

ESPEN guidelines on nutrition in dementia

BACKGROUND

Older people suffering from dementia are at increased risk of malnutrition due to various nutritional problems, and the question arises which interventions are effective in maintaining adequate nutritional intake and nutritional status in the course of the disease. It is of further interest whether supplementation of energy and/or specific nutrients is able to prevent further cognitive decline or even correct cognitive impairment, and in which situations artificial nutritional support is justified.

OBJECTIVE

It is the purpose of these guidelines to cover these issues with evidence-based recommendations.

METHODS

The guidelines were developed by an international multidisciplinary working group in accordance with officially accepted standards. The GRADE system was used for assigning strength of evidence. Recommendations were discussed, submitted to Delphi rounds and accepted in an online survey among ESPEN members.

RESULTS

26 recommendations for nutritional care of older persons with dementia are given. In every person with dementia, screening for malnutrition and close monitoring of body weight are recommended. In all stages of the disease, oral nutrition may be supported by provision of adequate, attractive food in a pleasant environment, by adequate nursing support and elimination of potential causes of malnutrition. Supplementation of single nutrients is not recommended unless there is a sign of deficiency. Oral nutritional supplements are recommended to improve nutritional status but not to correct cognitive impairment or prevent cognitive decline. Artificial nutrition is suggested in patients with mild or moderate dementia for a limited period of time to overcome a crisis situation with markedly insufficient oral intake, if low nutritional intake is predominantly caused by a potentially reversible condition, but not in patients with severe dementia or in the terminal phase of life.

CONCLUSION

Nutritional care and support should be an integral part of dementia management. In all stages of the disease, the decision for or against nutritional interventions should be made on an individual basis after carefully balancing expected benefit and potential burden, taking the (assumed) patient will and general prognosis into account.