Dementia and the risk of short-term readmission and mortality after a pneumonia admission

Acute readmissions among care home residents aged 65+ years: a register-based study

PURPOSE

Care home residents are characterised by multimorbidity, cognitive impairment, and physical disabilities, resulting in a high risk of acute admissions and readmissions. The risk factors for acute readmissions may differ from those affecting older adults in the community. This study aims to identify risk factors associated with acute readmissions among care home residents within 30 days of discharge from an acute hospital admission.

METHODS

We included all care home residents aged 65 + years living in Southern Jutland in Denmark from 2014 to 2019 who were discharged from their first acute hospital admission (lasting 12 + h) in the study period. Data on baseline characteristics, index admissions, 30-day readmissions, and mortality were obtained from the highly valid Danish national health registries. Cox regression was employed to identify factors associated with acute readmissions.

RESULTS

The care home residents had a mean age of 83.9-86.2 at index admission, and 57.0-62.3% were women. Of 2108 initial admissions, 328 (15.6%) resulted in an acute readmission, and 302 (14.3%) died within 30 days of follow-up. Notably, nearly half of the readmissions occurred within 1 week of discharge. Being a new care home resident (care home residency < 3 months) was associated with acute readmission (HR 1.40), as was a medical history of cancer (HR 1.31), diabetes (HR 1.45), atrial fibrillation (HR 1.54), and COPD/asthma (HR 1.36). Conversely, dementia was associated with a significantly lower risk of acute readmission (HR 0.71).

CONCLUSION

Our findings can help identify care home residents at elevated risk of readmission shortly after discharge.

Health outcomes in chronic kidney disease patients with cognitive impairment or dementia: a global collaborative analysis

Background and hypothesis

Mild cognitive impairment and dementia (CI) are common in patients with CKD. We aim to clarify whether and how CKD and CI coexistence increases adverse health outcomes.

Methods

This retrospective observational cohort study was conducted on CKD patients (stages 3-5) from the TriNetX platform. CKD patients with and without pre-existing CI were included from 115 healthcare organizations, and their outcomes were compared. The two cohorts were propensity score matched (PSM) for age, sex, ethnicity, comorbidities, BMI, blood parameters, and medications. The proportional hazard assumption was tested with a 95% confidence interval. Kaplan-Meier analysis was used to calculate survival probability. Outcomes were included from 1 day after the CKD diagnosis until 10 years afterwards.

Results

We identified 533 772 CKD patients, and 8184 had co-existent CI. Two cohorts of 8170 PSM patients each were generated. The mean age was 60.5 ± 7.0 years and the eGFR was 52.1±19 mL/min. Mean follow-up was 23.2 months. CKD patients with CI had higher all-cause mortality (18.5% vs 12.6%), higher risk of cerebrovascular disease (11.3% vs 6.9%), transient cerebral ischemic attacks (2.7% vs 1.6%), hypotension (16.5%-12.5%), malnutrition (6.7% vs 4.0%), pneumonia (10.7% vs 7.9%), urinary infections (13.2% vs 9.3%), encephalopathy (9.9% vs 5.0%), mood disorders (13.6% vs 9.7%), psychosis (9.8% vs 4.6%), and epilepsy (4.3% vs 1.5%). Higher use of antidepressants (26.3% vs 16.3%), anticonvulsants (19.5% vs 15.1%), antipsychotics (18.6% vs 9.1%), anticholinesterase (5.6% vs 0.1%), and benzodiazepines (30.6% vs 26.6%) was noted in those with CI. All these findings were statistically significant.

Conclusion

Despite the limitations of a retrospective study, real-world data demonstrate that concomitant CI is a decisive risk factor for higher mortality and increased adverse outcomes in patients with CKD. These results highlight the need for routine comprehensive cognitive assessments in patients at any stage of CKD.

Association of dementia with the 28-day mortality of sepsis: an observational and Mendelian randomization study

Background

Observational research suggests that individuals with dementia who have sepsis face a higher likelihood of death. However, whether there is a causal relationship between the two remains unknown.

Methods

We analyzed data from patients diagnosed with sepsis and dementia, extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. To examine the correlation between dementia and 28-day mortality in sepsis, we utilized Cox proportional hazards models. Following this, we performed a Mendelian randomization (MR) study with two samples to investigate the potential link between dementia and mortality within 28 days in sepsis.

Results

This study included a total of 22,189 patients diagnosed with sepsis, among whom 1,346 cases (6.1%) had dementia. After adjusting for multiple confounding factors, dementia was associated with an increased risk of 28-day mortality in sepsis (HR = 1.25, 95% CI = 1.12-1.39, p < 0.001). In the MR analysis, there appeared to be a causal relationship between genetically predicted dementia with Lewy bodies (DLB) (OR = 1.093, 95% CI = 1.016-1.177, p = 0.017) and 28-day mortality in sepsis. However, there was no evidence of causality between any dementia (OR = 1.063, 95% CI = 0.91-1.243, p = 0.437), Alzheimer's disease (AD) (OR = 1.126, 95% CI = 0.976-1.299, p = 0.103), vascular dementia (VD) (OR = 1.008, 95% CI = 0.93-1.091, p = 0.844), and the risk of 28-day mortality in sepsis.

Conclusion

In the observational analysis, dementia was associated with an increased risk of 28-day mortality in septic patients. However, in the MR analysis, only DLB was associated with increased 28-day mortality in septic patients, with no observed correlation for other dementia subtypes.

The association of physical resilience and post-discharge adverse events among older adults with dementia

OBJECTIVES

Post-discharge adverse events, such as falls, hospitalizations, and death, are more prevalent among older adults with dementia, compared to their cognitively intact counterparts. This study aimed to test the association between physical resilience and post discharge adverse events in a sample of older adults with dementia.

METHOD

Through phone calls with caregivers over one year, we obtained data on physical resilience and post-discharge adverse events through caregiver report among a sample of 314 recently discharged older adults with dementia. We performed negative binomial regression (falls and hospitalizations) and logistic regression (death), controlling for covariates.

RESULTS

Greater physical resilience at one month post discharge was significantly associated with less falls, hospitalizations, and death within one year.

CONCLUSION

This study highlights a particular patient profile, recently discharged older adults living with dementia who have low physical resilience, that could be targeted for intervention when discharged from the hospital.

Determinants of hospital readmissions in older people with dementia: a narrative review

INTRODUCTION

Over 50% of hospitalised older people with dementia have multimorbidity, and are at an increased risk of hospital readmissions within 30 days of their discharge. Between 20-40% of these readmissions may be preventable. Current research focuses on the physical causes of hospital readmissions. However, older people with dementia have additional psychosocial factors that are likely to increase their risk of readmissions. This narrative review aimed to identify psychosocial determinants of hospital readmissions, within the context of known physical factors.

METHODS

Electronic databases MEDLINE, EMBASE, CINAHL and PsychInfo were searched from inception until July 2022 and followed up in February 2024. Quantitative and qualitative studies in English including adults aged 65 years and over with dementia, their care workers and informal carers were considered if they investigated hospital readmissions. An inductive approach was adopted to map the determinants of readmissions. Identified themes were described as narrative categories.

RESULTS

Seventeen studies including 7,194,878 participants met our inclusion criteria from a total of 6369 articles. Sixteen quantitative studies included observational cohort and randomised controlled trial designs, and one study was qualitative. Ten studies were based in the USA, and one study each from Taiwan, Australia, Canada, Sweden, Japan, Denmark, and The Netherlands. Large hospital and insurance records provided data on over 2 million patients in one American study. Physical determinants included reduced mobility and accumulation of long-term conditions. Psychosocial determinants included inadequate hospital discharge planning, limited interdisciplinary collaboration, socioeconomic inequalities among ethnic minorities, and behavioural and psychological symptoms. Other important psychosocial factors such as loneliness, poverty and mental well-being, were not included in the studies.

CONCLUSION

Poorly defined roles and responsibilities of health and social care professionals and poor communication during care transitions, increase the risk of readmission in older people with dementia. These identified psychosocial determinants are likely to significantly contribute to readmissions. However, future research should focus on the understanding of the interaction between a host of psychosocial and physical determinants, and multidisciplinary interventions across care settings to reduce hospital readmissions.

Causes of mortality among adults with Down syndrome before and after the COVID-19 pandemic in Spain

BACKGROUND

The life expectancy of people with Down syndrome (DS) is limited by Alzheimer's disease (AD)-related deaths, mainly due to respiratory infections. The emergence of the COVID-19 pandemic could have changed known, past trends in mortality in this population. We analysed the differences in causes of mortality between individuals with DS deceased before and after the onset of the pandemic.

METHOD

This is a cross-sectional study of adults with DS recruited at a tertiary, university outpatient clinic in Madrid, Spain. Demographic and clinical data were retrospectively collected from their medical records, including information on their deaths, if any.

RESULTS

Five hundred seventy-two adults were included in the study, and 67 (11.7%) died. The main cause of death was respiratory infections, which occurred in 36 participants [9 (45.0%) before, and 27 (58.7%) after the appearance of COVID-19]. No significant differences were found in the determinants of pre-pandemic and post-pandemic death after adjusting for age and AD, except for an association between the use of psychotropic medication and death in the post-pandemic period (odds ratio: 2.24; 95% confidence interval: 1.04-4.82). Vaccination against COVID-19 showed a marked protective effect against mortality (odds ratio: 0.0002; 95% confidence interval: 6.7e10-6 to 0.004).

CONCLUSIONS

The appearance of COVID-19 has not impacted the overall trend of increase in mean age of death of adults with DS in our milieu, probably thanks to the very important protective effect of vaccination, which supports prioritising people with DS in future immunisation campaigns. The association between psychotropic medication use and mortality requires further exploration.

Overall and cause-specific mortality in patients with dementia: a population-based cohort study in Taiwan

OBJECTIVES

Information regarding the underlying causes of death (UCODs) and standardized mortality ratio (SMR) of dementia is instrumental in formulating medical strategies to prolong life in persons with dementia (PWD). We examined the leading UCODs among PWD and estimated the overall and cause-specific SMRs in relation to dementia in Taiwan.

METHODS

Data were retrieved from 2 national datasets: the Taiwan Death Registry and the medical claim datasets of the National Health Insurance program. The observed person-years for each study participant were counted from the date of cohort enrollment to either the date of death or the final day of 2016. Sex-specific and age-specific SMRs were then calculated.

RESULTS

The leading UCOD was circulatory disease, accounting for 26.0% of total deaths (n=3,505), followed by respiratory disease at 21.3% (n=2,875). PWD were at significantly increased risk of all-cause mortality (SMR, 2.01), with SMR decreasing with advancing age. A cause-specific analysis revealed that the highest SMRs were associated with nervous system diseases (SMR, 7.58) and mental, behavioral, and neurodevelopmental disorders (SMR, 4.80). Age appeared to modify SMR, suggesting that younger age at cohort enrollment was linked to higher SMRs for nearly all causes of mortality.

CONCLUSIONS

Circulatory and respiratory diseases were the leading UCODs among PWD. The particularly elevated mortality due to nervous system diseases and mental disorders suggests that allocating more resources to neurological and psychiatric services is warranted. The elevated SMRs of various UCODs among younger PWD underscore the need for clinicians to pay particular attention to the medical care provided to these patients.

Predicting Short-Term Mortality in Older Patients Discharged from Acute Hospitalizations Lasting Less Than 24 Hours

Purpose

Over coming decades, a rise in the number of short, acute hospitalizations of older people is to be expected. To help physicians identify high-risk patients prior to discharge, we aimed to develop a model capable of predicting the risk of 30-day mortality for older patients discharged from short, acute hospitalizations and to examine how model performance changed with an increasing amount of information.

Methods

This registry-based study included acute hospitalizations in Denmark for 2016-2018 lasting ≤24 hours where patients were permanent residents, ≥65 years old, and discharged alive. Utilizing many different predictor variables, we developed random forest models with an increasing amount of information, compared their performance, and examined important variables.

Results

We included 107,132 patients with a median age of 75 years. Of these, 3.3% (n=3575) died within 30 days of discharge. Model performance improved especially with the addition of laboratory results and information on prior acute admissions (AUROC 0.835), and again with comorbidities and number of prescription drugs (AUROC 0.860). Model performance did not improve with the addition of sociodemographic variables (AUROC 0.861), apart from age and sex. Important variables included age, dementia, number of prescription drugs, C-reactive protein, and eGFR.

Conclusion

The best model accurately estimated the risk of short-term mortality for older patients following short, acute hospitalizations. Trained on a large and heterogeneous dataset, the model is applicable to most acute clinical settings and could be a useful tool for physicians prior to discharge.

Caregivers’ experience with Tele-Savvy Caregiver Program post-hospitalization

Despite the frequent hospitalizations and readmissions of persons living with dementia (PLWD), no telehealth transitional care interventions focus on PLWDs' unpaid caregivers. Tele-Savvy Caregiver Program is a 43-day evidence-based online psychoeducational intervention for PLWDs' caregivers. The aim of this formative evaluation was to explore caregivers' acceptability of and experience with their participation in Tele-Savvy after their PLWDs' hospital discharge. Additionally, we gathered caregivers' feedback on the recommended features of a transitional care intervention, suitable for caregivers' schedule and needs post-discharge. Fifteen caregivers completed the interviews. Data were analyzed via conventional content analysis. Four categories were identified: (1) Tele-Savvy improved participants' understanding of dementia and caregiving; (2) hospitalization started a "new level of normal"; (3) PLWDs' health concerns; and (4) transitional care intervention development. Participation in Tele-Savvy was acceptable for most caregivers. Participants' feedback provides content and structural guidance for the development of a new transitional care intervention for PLWDs' caregivers.

Risk factors of pneumonia in persons with and without Alzheimer's disease: a matched cohort study

BACKGROUND

Pneumonia is a very common infection in the cognitively impaired adult population, often leading to long-term deterioration, in physical and cognitive performance. Evidence is lacking on whether chronic comorbidities and drug use are risk factors for pneumonia in persons with Alzheimer's disease (AD). The objective of this study was to investigate the risk factors of pneumonia in community dwellers with and without AD.

METHODS

We performed a retrospective register-based study utilizing the Medication Use and Alzheimer's disease (MEDALZ) cohort, which is based on Finnish nationwide healthcare registers and includes all community dwellers who received a verified clinical diagnosis of AD between 2005 to 2011. This study comprised 69,350 persons with AD and 69,350 persons without AD matched by age, gender, and region of residence. Association between comorbidities, drug use, and hospitalization due to pneumonia were assessed using Cox Regression.

RESULTS

During the follow-up, 25.0% (n = 17,105) of the AD cohort and 15.8% (n = 10,966) of the non-AD cohort were hospitalized due to pneumonia. Persons with AD had a higher risk of pneumonia also after adjusting for comorbidities (HR 1.76, 95% CI 1.71-1.80). Previous pneumonia was the strongest risk factor for pneumonia in both cohorts. All comorbidities and drug use excluding biological product use were associated with a higher risk of pneumonia, but stronger associations were observed in the non-AD cohort. The risk of hospitalization following psychotropic drug use was proportional to the number of psychotropics utilized.

CONCLUSIONS

Pneumonia is a serious, potentially life-threatening illness, and risk factors for pneumonia include several potentially avoidable drugs. In addition, good care of existing comorbidities might prevent pneumonia and related hospitalization.

Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors

BACKGROUND

Despite an abundance of information on the risk factors of SARS-CoV-2, there have been few US-wide studies of long-term effects. In this paper we analyzed a large medical claims database of US based individuals to identify common long-term effects as well as their associations with various social and medical risk factors.

METHODS

The medical claims database was obtained from a prominent US based claims data processing company, namely Change Healthcare. In addition to the claims data, the dataset also consisted of various social determinants of health such as race, income, education level and veteran status of the individuals. A self-controlled cohort design (SCCD) observational study was performed to identify ICD-10 codes whose proportion was significantly increased in the outcome period compared to the control period to identify significant long-term effects. A logistic regression-based association analysis was then performed between identified long-term effects and social determinants of health.

RESULTS

Among the over 1.37 million COVID patients in our datasets we found 36 out of 1724 3-digit ICD-10 codes to be statistically significantly increased in the post-COVID period (p-value < 0.05). We also found one combination of ICD-10 codes, corresponding to 'other anemias' and 'hypertension', that was statistically significantly increased in the post-COVID period (p-value < 0.05). Our logistic regression-based association analysis with social determinants of health variables, after adjusting for comorbidities and prior conditions, showed that age and gender were significantly associated with the multiple long-term effects. Race was only associated with 'other sepsis', income was only associated with 'Alopecia areata' (autoimmune disease causing hair loss), while education level was only associated with 'Maternal infectious and parasitic diseases' (p-value < 0.05).

CONCLUSION

We identified several long-term effects of SARS-CoV-2 through a self-controlled study on a cohort of over one million patients. Furthermore, we found that while age and gender are commonly associated with the long-term effects, other social determinants of health such as race, income and education levels have rare or no significant associations.

Risk factors for hospital readmissions in pneumonia patients: A systematic review and meta-analysis

BACKGROUND

Factors that are associated with the short-term rehospitalization have been investigated previously in numerous studies. However, the majority of these studies have not produced any conclusive results because of their smaller sample sizes, differences in the definition of pneumonia, joint pooling of the in-hospital and post-discharge deaths and lower generalizability.

AIM

To estimate the effect of various risk factors on the rate of hospital readmissions in patients with pneumonia.

METHODS

Systematic search was conducted in PubMed Central, EMBASE, MEDLINE, Cochrane library, ScienceDirect and Google Scholar databases and search engines from inception until July 2021. We used the Newcastle Ottawa (NO) scale to assess the quality of published studies. A meta-analysis was carried out with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI).

RESULTS

In total, 17 studies with over 3 million participants were included. Majority of the studies had good to satisfactory quality as per NO scale. Male gender (pooled OR = 1.22; 95%CI: 1.16-1.27), cancer (pooled OR = 1.94; 95%CI: 1.61-2.34), heart failure (pooled OR = 1.28; 95%CI: 1.20-1.37), chronic respiratory disease (pooled OR = 1.37; 95%CI: 1.19-1.58), chronic kidney disease (pooled OR = 1.38; 95%CI: 1.23-1.54) and diabetes mellitus (pooled OR = 1.18; 95%CI: 1.08-1.28) had statistically significant association with the hospital readmission rate among pneumonia patients. Sensitivity analysis showed that there was no significant variation in the magnitude or direction of outcome, indicating lack of influence of a single study on the overall pooled estimate.

CONCLUSION

Male gender and specific chronic comorbid conditions were found to be significant risk factors for hospital readmission among pneumonia patients. These results may allow clinicians and policymakers to develop better intervention strategies for the patients.

Palliative care for patients with advanced dementia

ABSTRACT

Dementia is currently the seventh leading cause of death and one of the major causes of disability and dependency among older adults globally. Its final stages are complicated by a multitude of problems that can cause immense suffering. This article explores the interconnection between advanced dementia and palliative care and the role of nurses in providing end-of-life care for these patients.

Prognostication in dementia

Dementia is a progressive, irreversible illness and leading global cause of death defined by cognitive and subsequent functional decline. Current treatments have limited impact on mortality. In this chapter, we discuss the trajectory of dementia and its variability, markers associated with poorer prognosis (such as poor nutrition, pneumonia, comorbid conditions), the impact of hospitalization on prognosis, and current models of end-of-life palliative care/hospice eligibility (with the use of the Functional Assessment Staging tool and other markers). We then discuss strategies to discuss prognosis with patients and their healthcare proxies using a mental model (Ask, Discover, Anticipate, Provide, Track: ADAPT) and specific skills. Because of progression of dementia variability, prognosis is better discussed in terms of function. For patients with dementia, initiating advance care planning earlier in their disease course allows for more patient involvement (such as to identify a surrogate decision maker).

Hospital readmissions following infections in dementia: a nationwide and registry-based cohort study

INTRODUCTION

We aimed to investigate readmission risks following infections in dementia, identify the types of infections behind the risks, and highlight the reasons for readmissions.

METHODS

Acute inpatient hospital admissions for infections in Danish residents were included from 1 January 2000, or age 65 years. Primary outcomes were 7-day readmissions risk ratios (RRs; risk following infection index admissions of people with dementia relative to those without dementia), risks by infection site, and reasons for readmission. Secondary outcomes were 30- and 90-day readmission risks. Competing risk of death was estimated.

RESULTS

Seven-day readmission RR was increased in all age groups and was highest in the youngest patients (women RR: 1.37, 95% confidence interval [CI] 1.22-1.53; men RR: 1.23, 95% CI 1.12-1.35). RRs decreased with increasing age and longer follow-up. The most notable common readmissions were for infections and dehydration in dementia.

CONCLUSIONS

We conclude that there is a substantially increased readmission risk in people with dementia than in those without dementia, particularly within 7 days, and for the youngest in the cohort. Readmission risks were higher for infection index admissions than for admissions for causes other than infection, and readmissions were mostly due to infections. Our findings highlight the burden of infections in people with dementia and call for in-depth investigations of determinants related to readmission risks, to inform public policy and identify avenues for interventions that can decrease or prevent potentially avoidable readmissions.