Alzheimer’s disease and related syndromes and hospitalization: a nationwide 5‐year longitudinal study

Association Between Neuroticism and Dementia on Healthcare Use: A Multi-Level Analysis Across 27 Countries from The Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND

People with high levels of neuroticism are greater users of health services. Similarly, people with dementia have a higher risk of hospitalization and medical visits. As a result, dementia and a high level of neuroticism increase healthcare use (HCU). However, how these joint factors impact the HCU at the population level is unknown. Similarly, no previous study has assessed the degree of generalization of such impacts, considering relevant variables including age, gender, socioeconomic, and country-level variability.

OBJECTIVE

To examine how neuroticism and dementia interact in the HCU.

METHODS

A cross-sectional study was performed on a sample of 76,561 people (2.4% with dementia) from 27 European countries and Israel. Data were analyzed with six steps multilevel non-binomial regression modeling, a statistical method that accounts for correlation in the data taken within the same participant.

RESULTS

Both dementia (Incidence Rate Ratio (IRR): 1.537; α= 0.000) and neuroticism (IRR: 1.122; α= 0.000) increased the HCU. The effect of having dementia and the level of neuroticism increased the HCU: around 53.67% for the case of having dementia, and 12.05% for each increment in the level of neuroticism. Conversely, high levels of neuroticism in dementia decreased HCU (IRR: 0.962; α= 0.073). These results remained robust when controlling for age, gender, socioeconomic, and country-levels effects.

CONCLUSION

Contrary to previous findings, neuroticism trait in people with dementia decreases the HCU across sociodemographic, socioeconomic, and country heterogeneity. These results, which take into account this personality trait among people with dementia, are relevant for the planning of health and social services.

A Literature Review on the Burden of Alzheimer's Disease on Care Partners

BACKGROUND

Many individuals with Alzheimer's disease (AD) are dependent on nonprofessional care partners. Providing informal care can result in emotional, physical, and financial burdens; however, there is a need for a better understanding of the impact of AD on care partners to support the clinical and economic assessment of potential new treatments.

OBJECTIVE

We conducted a literature review to evaluate the burden experienced by care partners of individuals with AD.

METHODS

Electronic screening and supplementary searches identified studies published from 2011 to 2022 describing the association between AD and the quality of life (QoL) and physical health of care partners, and the economic or financial burden of AD.

RESULTS

Following electronic screening, 62, 25, and 39 studies were included on care partner burden, cost, and healthcare resource use in AD, respectively. Supplementary searches identified an additional 32 studies, resulting in 149 unique studies. These studies showed that care partners of individuals with AD report moderate to severe burden. Higher burden and lower QoL were observed in those caring for individuals with more severe AD. Care partners of individuals with AD experience higher burden, lower QoL, and higher levels of stress, depression, and anxiety than those without caring responsibilities. Informal care costs increased with AD severity and accounted for the greatest proportion of overall societal cost.

CONCLUSIONS

Care partners of individuals with AD experience emotional and economic burden, which increases with AD severity. These impacts should be quantified comprehensively in future studies and captured in economic evaluations of AD interventions.

Risk factors and a nomogram for frailty in Chinese older patients with Alzheimer's disease: A single-center cross-sectional study

This study aimed to determine the risk factors of frailty in Chinese older patients with Alzheimer's disease (AD) and then construct a nomogram for frailty in this population. A total of 205 eligible older AD patients were recruited. Patients' general demographic characteristics were collected through a self-designed questionnaire. A nomogram was constructed for frailty based on the risk factors identified from the multivariate analysis. The discrimination and calibration capabilities of this nomogram were assessed with the C-index and calibration curve, respectively. The results showed that older age, no regular exercise habit, severe cognitive decline, and low social support were identified as important risk factors of frailty in AD patients. The C-index of the nomogram was 0.884 by bootstrapping validation, and the calibration curve of the nomogram showed high coherence between the predicted and actual probabilities of frailty. In conclusion, this nomogram was validated to have favorable discrimination and calibration capabilities.

Clustering 5-Year Multidimensional Health Care Trajectory Patterns in Alzheimer's Disease and Related Syndromes

OBJECTIVE

After diagnosis of Alzheimer's disease and related syndromes (ADRS), personalized care adapted to each patient's needs is recommended to provide a care plan and start symptomatic treatments according to guidelines. Over the past decade, dedicated structures and care have been implemented in various settings. Equal access to ADRS care, health care providers and services is crucial to ensure potential health benefits for everyone. However, the extent of use of recommended services and favorable health care utilization trajectories (HUT) may vary according to individual and contextual characteristics. The aim of this article was to (1) describe HUT patterns after multidimensional clustering of similar trajectories, (2) assess the proportion of individuals presenting favorable HUTs, and (3) identify factors associated with favorable HUTs.

DESIGN

Cohort study.

SETTING AND PARTICIPANTS

A cohort of 103,317 people newly diagnosed with ADRS identified in the French health reimbursement system (SNDS) was followed for 5 years with their monthly utilization on 11 health care dimensions.

METHODS

For 3 age groups (65-74, 75-84, ≥85 years), 15 clusters of patients were identified using partitioning around medoids applied to Levenshtein distances. They were qualitatively assessed by pluridisciplinary experts. Individual and contextual determinants of clusters denoting favorable trajectories were identified using mixed random effects multivariable logistic regression models.

RESULTS

Clusters with favorable HUTs denoting slow, progressive trajectories centered on at-home care, represented approximatively 25% of the patients. Determinants of favorable HUTs were mostly individual (age, female gender, absence of certain comorbidities, circumstances of ADRS identification, lower deprivation). Contextual determinants were also identified, in particular accessibility to nurses and nursing homes. Inter-territories variance was small but significant in all age groups (from 0.9% to 1.8%).

CONCLUSION AND IMPLICATIONS

Favorable HUTs remain the minority and many efforts can still be made to improve HUTs. Qualitative studies could help understanding underlying barriers to favorable HUTs.