Trends on Prevalence, All-Cause Mortality, and Survival Status of Dementia Patients in Rural China Based on Pooling Analysis.

Objectives: No study has reported secular trends in dementia prevalence, all-cause mortality, and survival status in rural China. Methods: We established two cohorts (XRRCC1 and XRRCC2) in the same region of China, 17 years apart, to compare dementia prevalence, all-cause mortality, and survival status, and performed regression analysis to identify associated factors. Results: Dementia prevalence was 3.49% in XRRCC1 and 4.25% in XRRCC2, with XRRCC2 showing a significantly higher prevalence (OR = 1.79, 95%CI: 1.2-2.65). All-cause mortality rates for dementia patients were 62.0% in XRRCC1 and 35.7% in XRRCC2. Mortality in the normal population of XRRCC2 decreased by 66% compared to XRRCC1, mainly due to improved survival rates in women with dementia. Dementia prevalence was positively associated with age >65, spouse-absent status, and stroke, and negatively associated with ≥6 years of education. Conclusion: Dementia prevalence in rural China increased over 17 years, while mortality decreased. Major risk factors include aging, no spouse, and stroke, with higher education offering some protection.

Cluster-Based White Matter Signatures and the Risk of Dementia, Stroke, and Mortality in Community-Dwelling Adults.

BACKGROUND AND OBJECTIVES: Markers of white matter (WM) injury on brain MRI are important indicators of brain health. Different patterns of WM atrophy, WM hyperintensities (WMHs), and microstructural integrity could reflect distinct pathologies and disease risks, but large-scale imaging studies investigating WM signatures are lacking. This study aims to identify distinct WM signatures using brain MRI in community-dwelling adults, determine underlying risk factor profiles, and assess risks of dementia, stroke, and mortality associated with each signature. METHODS: Between 2005 and 2016, we measured WMH volume, WM volume, fractional anisotropy (FA), and mean diffusivity (MD) using automated pipelines on structural and diffusion MRI in community-dwelling adults aged older than 45 years of the Rotterdam study. Continuous surveillance was conducted for dementia, stroke, and mortality. We applied hierarchical clustering to identify separate WM injury clusters and Cox proportional hazard models to determine their risk of dementia, stroke, and mortality. RESULTS: We included 5,279 participants (mean age 65.0 years, 56.0% women) and identified 4 distinct data-driven WM signatures: (1) above-average microstructural integrity and little WM atrophy and WMH; (2) above-average microstructural integrity and little WMH, but substantial WM atrophy; (3) poor microstructural integrity and substantial WMH, but little WM atrophy; and (4) poor microstructural integrity with substantial WMH and WM atrophy. Prevalence of cardiovascular risk factors, lacunes, and cerebral microbleeds was higher in clusters 3 and 4 than in clusters 1 and 2. During a median 10.7 years of follow-up, 291 participants developed dementia, 220 had a stroke, and 910 died. Compared with cluster 1, dementia risk was increased for all clusters, notably cluster 3 (hazard ratio [HR] 3.06, 95% CI 2.12-4.42), followed by cluster 4 (HR 2.31, 95% CI 1.58-3.37) and cluster 2 (HR 1.67, 95% CI 1.17-2.38). Compared with cluster 1, risk of stroke was higher only for clusters 3 (HR 1.55, 95% CI 1.02-2.37) and 4 (HR 1.94, 95% CI 1.30-2.89), whereas mortality risk was increased in all clusters (cluster 2: HR 1.27, 95% CI 1.06-1.53, cluster 3: HR 1.65, 95% CI 1.35-2.03, cluster 4: HR 1.76, 95% CI 1.44-2.15), compared with cluster 1. Models including clusters instead of an individual imaging marker showed a superior goodness of fit for dementia and mortality, but not for stroke. DISCUSSION: Clustering can derive WM signatures that are differentially associated with dementia, stroke, and mortality risk. Future research should incorporate spatial information of imaging markers.

Poor sleep quality, dementia status and their association with all-cause mortality among older US adults.

BACKGROUND: Evidence points to associations between sleep quality, dementia, and mortality. We examined whether poor sleep quality mediated or moderated the association between dementia and mortality risk among older US adults and vice versa, and whether these associations differed by sex and by race. METHODS: The study investigated bi-directional associations between sleep quality, dementia and mortality in older US adults using data from the Health and Retirement Study (N = 6,991, mean age = 78.1y, follow-up: 2006-2020, number of deaths = 4,938). It tested interactions and mediating effects, using Cox proportional hazards models and four-way decomposition models. RESULTS: Poor sleep quality was associated with increased mortality risk, particularly among male and White older adults. However, the association was reversed in the fully adjusted model, with a 7% decrease in risk per tertile. Probable dementia was associated with a two-fold increase in mortality risk, with a stronger association found among White adults. The association was markedly attenuated in the fully adjusted models. Sleep quality-stratified models showed a stronger positive association between dementia and mortality among individuals with better sleep quality. Both mediation and interaction were involved in explaining the total effects under study, though statistically significant total effects were mainly composed of controlled direct effects. CONCLUSIONS: Poor sleep quality is directly related to mortality risk before lifestyle and health-related factors are adjusted. Dementia is linked to mortality risk, especially in individuals with better sleep quality, males, and White older adults. Future research should explore the underlying mechanisms.

Mortality rate of pulmonary infection in senile dementia patients: A systematic review and meta-analysis.

BACKGROUND: Dementia is estimated that this kind of neurodegenerative disease directly affects 50 million patients worldwide. About 12% to 70% death of dementia disease can be attributed to pneumonia. We aimed to evaluate the pneumonia-related mortality of dementia patients and how the frequency of pneumonia-related death varies according to the data of death (autopsy or death certificate). METHODS: English literatures published from PubMed and Embase databases were extracted. Stata/SE 16.0 software was used for statistical analysis. RESULTS: In the end, a total of 7 studies were finally included in this meta-analysis. The results showed that: (1) The total mortality rate associated with pneumonia was 24.68% (95% confidence interval [CI]: 19.07%, 30.29%); (2) The pneumonia-related mortality rate of dementia patients confirmed by autopsy was 56.14% (95% CI: 32.36%, 79.92%); (3) The pneumonia-related mortality rate of dementia patients confirmed by death certificate was 16.12% (95% CI: 9.98%, 22.26%); (4) The pneumonia-related direct mortality rate of dementia patients was 50.07% (95% CI: 34.85%, 65.30%); (5) The pneumonia-related indirect mortality rate of dementia patients was 12.43% (95% CI: 5.85%, 19.00%); (6) The hospital-reported mortality rate of dementia patients related to pneumonia was 12.66% (95% CI: 6.60%, 18.72%); (7) The mortality rate of dementia patients related to pneumonia was 17.48% (95% CI: 10.60%, 24.38%). CONCLUSION: This meta-analysis shows that the pneumonia-related mortality of dementia patients is much higher than the expectation of clinicians. The results of the study greatly warned clinicians to pay close attention to pneumonia cases of senile dementia patients.

[Examination of cases in which senility was determined to be the cause of death in community medicine].

AIM: In community medicine, there are many opportunities in which senility is noted as the cause of death. However, there are no clear criteria for diagnosing senility, and this decision is often left to the judgment of individual doctors. This study investigated the clinical characteristics of patients diagnosed with senility at our hospital. METHODS: The subjects included 43 patients whose cause of death was listed as senility from among the death certificates of 282 patients prepared at our hospital. The survey items included age, sex, medical history, place of death, period from the day of explanation of the condition of senility to the date of death, BMI at the time of explanation, and blood sampling test. RESULTS: The mean age of patients who died due to senility was 92.2±6.5 years old. The male to female ratio was 15: 28. The most common medical history was dementia (76.7%), followed by hypertension and orthopedic disease (74.4%), respiratory disease (66.7%), and heart disease and gastrointestinal disease (60.5%). The places of death were nursing homes and private homes, and hospitals. The overall average time from presentation until death occurred was 110.2 days. There were also considerable differences depending on the case. The average BMI was 19.7±3.0, and the blood sampling results showed that total protein and serum albumin levels were lower than the reference values. CONCLUSIONS: Although the diagnosis of senility is vague and unclear, it is important to explain such a diagnosis to the family at an appropriate time and to cooperate with multiple professionals in the treatment process.

Medical visits and mortality among dementia patients during the COVID-19 pandemic compared to rates predicted from 2019.

BACKGROUND: During the COVID-19 pandemic, patients with Alzheimer's disease and related dementias (ADRD) were especially vulnerable, and modes of medical care delivery shifted rapidly. This study assessed the impact of the pandemic on care for people with ADRD, examining the use of primary, emergency, and long-term care, as well as deaths due to COVID and to other causes. METHODS: Among 4.2 million beneficiaries aged 66 and older with ADRD in traditional Medicare, monthly deaths and claims for routine care (doctors' office and telehealth visits), inpatient/emergency department (ED) visits, and long-term care facility use from March or June 2020 through December 2022 are compared to monthly rates predicted from January-December 2019 using OLS and logistic/negative binomial regression. Correlation analyses examine the association between excess deaths - due to COVID and non-COVID causes - and changes in care use in the beneficiary's state of residence. RESULTS: Increased telehealth visits more than offset reduced office visits, with primary care visits increasing overall (by 9 percent from June 2020 onward relative to the predicted rate from 2019, p < .001). Emergency/inpatient visits declined (by 9 percent, p < .001) and long-term care facility use declined, remaining 14% below the 2019 trend from June 2020 onward (p < .001). Both COVID and non-COVID deaths rose, with 231,000 excess deaths (16% above the prediction from 2019), over 80 percent of which were attributable to COVID. Excess deaths were higher among women, non-White patients, those in rural and isolated zip codes, and those with higher social deprivation index scores. States with the largest increases in primary care visits had the lowest excess deaths (correlation -0.49). CONCLUSIONS: Older adults with ADRD had substantial deaths above pre-pandemic projections during the COVID-19 pandemic, 80 percent of which were attributed to COVID-19. Routine care increased overall due to a dramatic increase in telehealth visits, but this was uneven across states, and mortality rates were significantly lower in states with higher than pre-pandemic visits.

Mortality and Function After Widowhood Among Older Adults With Dementia, Cancer, or Organ Failure.

Importance: The widowhood effect, in which mortality increases and function decreases in the period following spousal death, may be heightened in older adults with functional impairment and serious illnesses, such as cancer, dementia, or organ failure, who are highly reliant on others, particularly spouses, for support. Yet there are limited data on widowhood among people with these conditions. Objective: To determine the association of widowhood with function and mortality among older adults with dementia, cancer, or organ failure. Design, Setting, and Participants: This longitudinal cohort study used population-based, nationally representative data from the Health and Retirement Study database linked to Medicare claims from 2008 to 2018. Participants were married or partnered community-dwelling adults aged 65 years and older with and without cancer, organ failure, or dementia and functional impairment (function score <9 of 11 points), matched on widowhood event and with follow-up until death or disenrollment. Analyses were conducted from September 2021 to May 2024. Exposure: Widowhood. Main Outcomes and Measures: Function score (range 0-11 points; 1 point for independence with each activity of daily living [ADL] or instrumental activity of daily living [IADL]; higher score indicates better function) and 1-year mortality. Results: Among 13 824 participants (mean [SD] age, 70.1 [5.5] years; 6416 [46.4%] female; mean [SD] baseline function score, 10.2 [1.6] points; 1-year mortality: 0.4%) included, 5732 experienced widowhood. There were 319 matched pairs of people with dementia, 1738 matched pairs without dementia, 95 matched pairs with cancer, 2637 matched pairs without cancer, 85 matched pairs with organ failure, and 2705 matched pairs without organ failure. Compared with participants without these illnesses, widowhood was associated with a decline in function immediately following widowhood for people with cancer (change, -1.17 [95% CI, -2.10 to -0.23] points) or dementia (change, -1.00 [95% CI, -1.52 to -0.48] points) but not organ failure (change, -0.84 [95% CI, -1.69 to 0.00] points). Widowhood was also associated with increased 1-year mortality among people with cancer (hazard ratio [HR], 1.08 [95% CI, 1.04 to 1.13]) or dementia (HR, 1.14 [95% CI, 1.02 to 1.27]) but not organ failure (HR, 1.02 [95% CI, 0.98 to 1.06]). Conclusions and Relevance: This cohort study found that widowhood was associated with increased functional decline and increased mortality in older adults with functional impairment and dementia or cancer. These findings suggest that persons with these conditions with high caregiver burden may experience a greater widowhood effect.

Divergent Mortality Patterns Associated With Dementia in the United States: 1999-2020.

Objective: To analyze contemporary trends of dementia and dementia-related mortality in the United States between 1999 and 2020 categorized by demographic and regional attributes.Methods: A retrospective cohort analysis was conducted using mortality data from individuals aged 35 years to ≥85 years, where dementia/Alzheimer disease was recorded as a contributing or underlying cause of death. Data were extracted from the US Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database for the years 1999-2020. Mortality rates adjusted for age due to dementia (annual age-adjusted mortality rate [AAMR]) per 10,000 individuals in the United States were categorized by gender, racial and ethnic groups, and geographic regions.Results: Results revealed 6,601,680 deaths related to dementia between 1999 and 2020. Among these, 85.5% were non-Hispanic (NH) white, 8% NH black, 4.34% Hispanic or Latino, 1.6% NH Asian or Pacific Islander, and 0.3% NH American Indian or Alaska Native adults. The overall AAMR was 17.49, with women experiencing a higher AAMR of 18.19 compared to men (16.05). Ethnic disparities were evident, with NH black adults having the highest AAMR (18.23), followed by NH white (18.09) and Hispanic adults (12.7). Over the study period, the overall AAMR increased from 10.86 in 1999 to 21.42 in 2020, with a notable 18.4% rise in the AAMR from 1999 to 2001. From 2001 to 2020, the average percent change of the AAMR was 1.0%. This upward trend in mortality was observed for both men and women and across all ethnicities.Conclusions: The study spanning 1999-2020 revealed concerning trends in dementia-related mortality in the United States. There is a critical need for targeted health care policy initiatives aimed at mitigating the increasing dementia burden.Prim Care Companion CNS Disord 2024;26(4):24m03724. Author affiliations are listed at the end of this article.

Slow Gait Speed Predicts Incident Dementia, Mortality, and Long-Term Functional Outcome in Cerebral Small-Vessel Disease.

Background: Gait impairment is observed in patients with small vessel disease (SVD); however, the association between gait function and long-term outcome remains unclear. Objectives: This study aimed to clarify the predictive value of gait function on incident dementia, survival and functional outcome. Methods: Data were derived from a Japanese cohort of patients with SVD. This study included 522 participants who underwent 3-m timed up and go test (TUG), and gait speed, TUG time, was divided into tertiles. Magnetic resonance imaging was used to evaluate severity of white matter hyperintensities, lacunes, and medial temporal atrophy. Primary outcome was dementia. All-cause death and functional outcome by modified Rankin scale at the last visit was also evaluated. Results: The median age was 71 years, and median TUG time was 9.91 s. During follow-up period of 4.8 years, 32 cases of dementia occurred. Cox proportional hazard analysis revealed that slow gait speed (TUG time >  10.88 s) was associated with a significantly higher risk of incident dementia than fast (TUG time <  9.03) and middle (TUG time, 9.04-10.87 s) speeds after adjusting risk factors, Mini-Mental State Examination, SVD severity and brain atrophy (adjusted hazard ratio, 2.73; 95% confidence interval, 1.16-6.42, p = 0.022). Slow speed was also associated with mortality and poor functional outcome compared with other speeds (adjusted odds ratio, 4.19; 95% confidence interval 1.92-9.18, p <  0.001). Conclusions: Gait function was associated with incident dementia, mortality and poor functional outcome independently of cognitive function, brain atrophy, and SVD severity.

External Validation of the Charlson Comorbidity Index-based Model for Survival Prediction in Thai Patients Diagnosed with Dementia.

BACKGROUND: The Charlson Comorbidity Index (CCI) is commonly employed for predicting mortality. Nonetheless, its performance has rarely been evaluated in patients with dementia. This study aimed to examine the predictive capability of the CCI-based model for survival prediction in Thai patients diagnosed with dementia. METHODS: An external validation study was conducted using retrospective data from adults with dementia who had visited the outpatient departments at Maharaj Nakorn Chiang Mai Hospital between 2006 and 2012. The data obtained from electronic medical records included age, gender, date of dementia diagnosis and death, types of dementia, and comorbidities at the time of dementia diagnosis. The discriminative ability and calibration of the CCI-based model were estimated using Harrell's C Discrimination Index and visualized with calibration plot. As the initial performance did not meet satisfaction, model updating and recalibration were performed. RESULTS: Of 702 patients, 56.9% were female. The mean age at dementia diagnosis was 75.22 (SD 9.75) year-old. During external validation, Harrell's C-statistic of the CCI-based model was 0.58 (95% CI, 0.54-0.61). The model showed poor external calibration. Model updating was subsequently performed. All updated models demonstrated a modest increase in Harrell's C-statistic. Temporal recalibration did not significantly improve the calibration of any of the updated models. CONCLUSION: The CCI-based model exhibited fair discriminative ability and poor calibration for predicting survival in Thai patients diagnosed with dementia. Despite attempts at model updating, significant improvements were not achieved. Therefore, it is important to consider the incorporation of other influential prognostic factors.

[Age-period-cohort analysis of the mortality trend of dementia among elderly people aged 60 to 94 years in China from 1982 to 2021].

Objective: To analyze the trend of dementia mortality rate among individuals aged 60 to 94 years in China from 1982 to 2021. Methods: Utilizing data from the Global Burden of Disease Study 2021, the Joinpoint regression model was employed to analyze the trend in the dementia mortality rate among Chinese older adults from 1982 to 2021. The age-period-cohort analysis method was used to decompose the age effect, period effect and cohort effect of dementia mortality data in Chinese elderly people. Results: From 1982 to 2021, the crude mortality rate of dementia in elderly women aged 60-94 in China (133.67/100 000-214.02/100 000) was higher than that in men (70.92/100 000-119.70/100 000), and the age-standardized mortality rate of dementia in women (230.74/100 000-246.87/100 000) was also higher than that in men (132.88/100 000-140.19/100 000). The age-standardized mortality rate of dementia in both genders showed an N-shaped fluctuation trend. The average annual percent change (AAPC) of dementia mortality rate in elderly males aged 60-94 was 0.07% (95%CI: 0.01%-0.13%), and the AAPC of dementia mortality rate in elderly females was -0.01% (95%CI:-0.08%-0.07%). Age effect analysis showed that from the age of 60, the risk of dementia death in males and females increased with age, especially among elderly people aged 75-94 who experienced a rapid increase in dementia mortality rate. The period effect analysis showed that the overall risk of dementia death in elderly men and women aged 60-94 was decreasing, but it had increased from 2017 to 2021. The cohort effect analysis showed that the risk of dementia death was lower in later birth cohorts. Conclusion: From 1982 to 2021, the dementia mortality rate among Chinese older adults aged 60 to 94 years exhibited fluctuations. Particularly, there has been a notable rebound in recent years. Special attention should be directed towards female seniors and those aged 75 to 94 years.

Association between glycemic status and all-cause mortality among individuals with dementia: a nationwide cohort study.

BACKGROUND: To examine the association between glycemic status and all-cause mortality risk among individuals with dementia. METHODS: We enrolled 146,832 individuals aged 40 and older with dementia as identified through the Korean National Health Insurance Service health screening test between 2008 and 2016. Mortality status was evaluated at the end of 2019. Participants were classified into normoglycemia, prediabetes, or diabetes mellitus (DM) categories. The duration of diabetes was noted in those with DM. This study focused on the association between glycemic status and all-cause mortality. RESULTS: The cohort, which was predominantly elderly (average age 75.1 years; 35.5% male), had a 35.2% mortality rate over an average 3.7-year follow-up. DM was linked with increased all-cause mortality risk (hazard ratio [HR] 1.34; 95% confidence interval [CI]: 1.32-1.37) compared to non-DM counterparts. The highest mortality risk was observed in long-term DM patients (≥ 5 years) (HR 1.43; 95% CI: 1.40-1.47), followed by newly diagnosed DM (HR 1.35; 95% CI: 1.30-1.40), shorter-term DM (< 5 years) (HR 1.17; 95% CI: 1.13-1.21), and prediabetes (HR 1.03; 95% CI: 1.01-1.05). These patterns persisted across Alzheimer's disease and vascular dementia, with more pronounced effects observed in younger patients. CONCLUSIONS: Glucose dysregulation in dementia significantly increased mortality risk, particularly in newly diagnosed or long-standing DM. These findings suggest the potential benefits of maintaining normal glycemic levels in improving the survival of patients with dementia.

Artificial intelligence prediction of In-Hospital mortality in patients with dementia: A multi-center study.

BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients with dementia and artificial intelligence has the potential to serve as a solution; however, this issue remains unclear. Thus, this study was conducted to elucidate this matter. METHODS: We identified 10,573 hospitalized patients aged ≥ 45 years with dementia from three hospitals between 2010 and 2020 for this study. Utilizing 44 feature variables extracted from electronic medical records, an artificial intelligence (AI) model was constructed to predict death during hospitalization. The data was randomly separated into 70 % training set and 30 % testing set. We compared predictive accuracy among six algorithms including logistic regression, random forest, extreme gradient boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), multilayer perceptron (MLP), and support vector machine (SVM). Additionally, another set of data collected in 2021 was used as the validation set to assess the performance of six algorithms. RESULTS: The average age was 79.8 years, with females constituting 54.5 % of the sample. The in-hospital mortality rate was 6.7 %. LightGBM exhibited the highest area under the curve (0.991) for predicting mortality compared to other algorithms (XGBoost: 0.987, random forest: 0.985, logistic regression: 0.918, MLP: 0.898, SVM: 0.897). The accuracy, sensitivity, positive predictive value, and negative predictive value of LightGBM were 0.943, 0.944, 0.943, 0.542, and 0.996, respectively. Among the features in LightGBM, the three most important variables were the Glasgow Coma Scale, respiratory rate, and blood urea nitrogen. In the validation set, the area under the curve of LightGBM reached 0.753. CONCLUSIONS: The AI prediction model demonstrates strong accuracy in predicting in-hospital mortality among patients with dementia, suggesting its potential implementation to enhance future care quality.

A characterization of patients with low soluble urokinase plasminogen activator receptor who died within 90 days of hospital discharge.

Soluble urokinase plasminogen activator receptor (suPAR) is a marker of systemic chronic inflammation. Elevated suPAR levels are associated with adverse clinical outcomes, but a small subset of patients with low suPAR also experience poor outcomes. Therefore, we aimed to characterize patients presenting to the emergency department with low suPAR (<3 ng/mL) who died within 90 days after discharge in a registry-based study. Compared to patients with low suPAR who survived (n = 15 122), those who died within 90 days (n = 87) had higher age (75.4 years), higher medication use (7.0; 71.3% with polypharmacy) and more blood tests outside reference intervals (5.0) (including C-reactive protein, neutrophils and albumin), and the most common diagnoses were chronic pulmonary disease (27.6%), cerebrovascular disease (18.4%) and dementia (11.5%). Patients with low suPAR were more morbid than what was reflected by suPAR alone. Future studies must determine which factors that contribute the most to potential algorithms when stratifying patients based on their risk of adverse clinical outcomes. These data indicate that inclusion of medication data could be relevant.

Impact of type 2 diabetes and its duration on incidence rates of dementia death and medication prescription in the Australian population during 2003-2016.

AIMS: To quantify rates of dementia treatment and death among Australians with type 2 diabetes relative to those without diabetes using linked national registries of Australia. METHODS: The study included 891,418 people with type 2 diabetes registered on the National Diabetes Services Scheme and a randomly sampled, population-based comparison group (n = 1,131,369). Outcomes included dementia death (all-cause dementia, Alzheimer's disease (AD) or vascular dementia), and first prescription of cholinesterase inhibitors or memantine. RESULTS: Excess dementia risk was observed in the diabetes group for the composite outcome of all-cause dementia death or dementia medication prescription but varied with age at diabetes diagnosis and its duration. At age 70, the rate of dementia death/medication prescription was ∼1.3 (95% CI 1.2, 1.3) and 1.1 (95% CI 1.1, 1.2) times higher in people with ten and five years of diabetes duration, respectively. Individual outcomes showed that diabetes was associated with a higher incidence of vascular dementia death, whereas an increased risk of AD death was only observed beyond âˆ¼10 years of diabetes duration. Further, the incidence of dementia medication prescription was lower among people with diabetes. CONCLUSIONS: A higher incidence of AD death in the setting of 10+ years of diabetes duration coupled with a lower incidence of AD treatment suggests an under-recognition of this dementia phenotype among people with type 2 diabetes.

Social Isolation Changes and Long-Term Outcomes Among Older Adults.

Importance: While the association between cross-sectional measures of social isolation and adverse health outcomes is well established, less is known about the association between changes in social isolation and health outcomes. Objective: To assess changes of social isolation and mortality, physical function, cognitive function, cardiovascular disease (CVD), and stroke. Design, Setting, and Participants: In a cohort design, social isolation changes in 4 years and subsequent risk of mortality and other outcomes were assessed using the 13 649 eligible Health and Retirement Study (HRS) respondents from the 2006 to 2020 waves. Data were analyzed from October 11, 2023, to April 26, 2024. Exposure: The main exposure was the change in social isolation measured by the Steptoe 5-item Social Isolation Index from the initial assessment to a second assessment conducted 4 years later. Participants were classified into decreased isolation, stable, or increased isolation groups, stratified by their baseline isolation status. Main Outcomes and Measures: The primary outcomes were mortality, self-reported dependencies in activities of daily living, Alzheimer disease and Alzheimer disease-related dementia, CVD, and stroke. Dementia, CVD, and stroke were assessed using HRS-linked Medicare records. Incidence rates (IRs) of each group were estimated and a Cox proportional hazards regression model was used, with inverse-probability treatment weighting to adjust for confounders. Results: Among 13 649 participants (mean [SD] age at baseline, 65.3 [9.5] years; 8011 [58.7%] women) isolated at baseline, those with increased isolation had higher mortality (n = 693; IR = 68.19; 95% CI, 60.89-76.36 per 1000 person-years) than those who were stable (n = 1796; IR = 44.02; 95% CI, 40.47-47.88 person-years) or had decreased isolation (n = 2067; IR = 37.77; 95% CI, 34.73-41.09 person-years) isolation. Increased isolation was associated with higher risks of mortality (adjusted hazard ratio [AHR], 1.29; 95% CI, 1.09-1.51), disability (AHR, 1.35; 95% CI, 1.09-1.67), and dementia (AHR, 1.40; 95% CI, 1.02-1.93) compared with stable isolation. Similar findings were observed among socially nonisolated participants at baseline. Conclusions and Relevance: In this cohort study, increased isolation was associated with elevated risks of mortality, disability, and dementia, irrespective of baseline isolation status. These results underscore the importance of interventions targeting the prevention of increased isolation among older adults to mitigate its adverse effects on mortality, as well as physical and cognitive function decline.

Exploring the impacts of risk factors on mortality patterns of global Alzheimer's disease and related dementias from 1990 to 2021.

Alzheimer's Disease and Related Dementias (ADRD) affect millions of people worldwide, with mortality rates influenced by several risk factors and exhibiting significant heterogeneity across geographical regions. This study aimed to investigate the impact of risk factors on global ADRD mortality patterns from 1990 to 2021, utilizing clustering and modeling techniques. Data on ADRD mortality rates, cardiovascular disease, and diabetes prevalence were obtained for 204 countries from the GBD platform. Additional variables such as HDI, life expectancy, alcohol consumption, and tobacco use prevalence were sourced from the UNDP and WHO. All the data were extracted for men, women, and the overall population. Longitudinal k-means clustering and generalized estimating equations were applied for data analysis. The findings revealed that cardiovascular disease had significant positive effects of 1.84, 3.94, and 4.70 on men, women, and the overall ADRD mortality rates, respectively. Tobacco showed positive effects of 0.92, 0.13, and 0.39, while alcohol consumption had negative effects of - 0.59, - 9.92, and - 2.32, on men, women, and the overall ADRD mortality rates, respectively. The countries were classified into five distinct subgroups. Overall, cardiovascular disease and tobacco use were associated with increased ADRD mortality rates, while moderate alcohol consumption exhibited a protective effect. Notably, tobacco use showed a protective effect in cluster A, as did alcohol consumption in cluster B. The effects of risk factors on ADRD mortality rates varied among the clusters, highlighting the need for further investigation into the underlying causal factors.

Sex, environment, and death rate in a dementia cohort: a seven-years Bayesian survival analysis using medications data from a contaminated area in Italy.

Introduction: Studies have analyzed the effects of industrial installations on the environment and human health in Taranto, Southern Italy. Literature documented associations between different variables and dementia mortality among both women and men. The present study aims to investigate the associations between sex, environment, age, disease duration, pandemic years, anti-dementia drugs, and death rate. Methods: Data from the regional medication registry were used. All women and men with an anti-dementia medication between 2015 and 2021 were included and followed-up to 2021. Bayesian mixed effects logistic and Cox regression models with time varying exposures were fitted using integrated nested Laplace approximations and adjusting for patients and therapy characteristics. Results: A total of 7,961 person-years were observed. Variables associated with lower prevalence of acetylcholinesterase inhibitors (AChEIs) medication were male sex (OR 0.63, 95% CrI 0.42-0.96), age 70-79 years (OR 0.17, 95% CrI 0.06-0.47) and ≥ 80 years (OR 0.08, 95% CrI 0.03-0.23), disease duration of 2-3 years (OR 0.43, 95% CrI 0.32-0.56) and 4-6 years (OR 0.21, 95% CrI 0.13-0.33), and pandemic years 2020 (OR 0.50, 95% CrI 0.37-0.67) and 2021 (OR 0.47, 95% CrI 0.33-0.65). Variables associated with higher mortality were male sex (HR 2.14, 95% CrI 1.75-2.62), residence in the contaminated site of national interest (SIN) (HR 1.25, 95% CrI 1.02-1.53), age ≥ 80 years (HR 6.06, 95% CrI 1.94-18.95), disease duration of 1 year (HR 1.50, 95% CrI 1.12-2.01), 2-3 years (HR 1.90, 95% CrI 1.45-2.48) and 4-6 years (HR 2.21, 95% CrI 1.60-3.07), and pandemic years 2020 (HR 1.38, 95% CrI 1.06-1.80) and 2021 (HR 1.56, 95% CrI 1.21-2.02). Variables associated with lower mortality were therapy with AChEIs alone (HR 0.69, 95% CrI 0.56-0.86) and in combination with memantine (HR 0.54, 95% CrI 0.37-0.81). Discussion: Male sex, age, disease duration, and pandemic years appeared to be associated with lower AChEIs medications. Male sex, residence in the SIN of Taranto, age, disease duration, and pandemic years seemed to be associated with an increased death rate, while AChEIs medication seemed to be associated with improved survival rate.

Global Burden of Dementia Death from 1990 to 2019, with Projections to 2050: An Analysis of 2019 Global Burden of Disease Study.

BACKGROUND: Dementia is a growing global health challenge. Quantifying the current burden and predicting the future increases of dementia-related deaths are necessary to enhance effective policy decisions and health system planning. METHODS: Data on dementia mortality was derived from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 study. The 2020-2050 dementia-related deaths were forecasted using the Bayesian age-period-cohort model. RESULTS: Globally, the number of dementia-related death increased from 0.56 million in 1990 to 1.62 million in 2019 and were estimated to increase to 4.91 million by the year 2050. Metabolic risk factors would become the most important modifiable risk factors affecting dementia death which account for 28.10% of dementia related death by the year 2050. For different Socio-demographic Index (SDI) regions, the low SDI region would have the highest age-standardized mortality rate (ASMR) (29.16 per 100,000) by 2050. Moreover, the number of dementia-related deaths under the age of 70 years was predicted to reach 0.18 million by 2050. CONCLUSIONS: Dementia related death remains a global health problem, and health policies targeting metabolic risk factors may be an important way to alleviate this problem.

Examining the association of physical activity and mortality among recently hospitalized older adults with dementia.

INTRODUCTION: This study aimed to examine the association between physical activity one month post discharge and mortality over the first-year post discharge among recently hospitalized older adults with dementia. METHODS: For this descriptive sub-study, among 42 participants, we obtained physical activity data via accelerometry at one month post discharge and death status via phone call at 6 months and 1 year post discharge. We performed logistic regression. RESULTS: We found that participants' amount of time spent in physical activity one month post hospital discharge was not statistically significantly associated with mortality within the first-year post hospital discharge (OR=.996, CI=.992,1.000; p=.053). However, we did observe a strong trend. CONCLUSIONS: Given the small sample of participants, this trend is salient and should be examined in a larger sample. The results highlight a specific patient profile, recently hospitalized older adults with dementia, that would greatly benefit from physical activity interventions.