Population-level interventions for the primary prevention of dementia: a complex evidence review.

BACKGROUND: Dementia is a leading, global public health challenge. Recent evidence supporting a decrease in age-specific incidence of dementia in high-income countries (HICs) suggests that risk reduction is possible through improved life-course public health. Despite this, efforts to date have been heavily focused on individual-level approaches, which are unlikely to significantly reduce dementia prevalence or inequalities in dementia. In order to inform policy, we identified the population-level interventions for dementia risk reduction with the strongest evidence base. METHODS: We did this complex, multistage, evidence review to summarise the empirical, interventional evidence for population-level interventions to reduce or control each of the 12 modifiable life-course risk factors for dementia identified by the Lancet commission. We conducted a series of structured searches of peer-reviewed and grey literature databases (eg, Medline, Trip database, Cochrane library, Campbell Collaboration, the WHO, and Google Scholar), in January, March, and June, 2023. Search terms related to risk factors, prevention, and population-level interventions, without language restrictions. We extracted evidence of effectiveness and key contextual information to aid consideration and implementation of interventions by policymakers. We performed a narrative synthesis and evidence grading, and we derived a population-level dementia risk reduction intervention framework, structured by intervention type. This study is registered with PROSPERO, ID:CRD42023396193. FINDINGS: We identified clear and consistent evidence for the effectiveness of 26 population-level interventions to reduce the prevalence of nine of the risk factors, of which 23 have been empirically evaluated in HICs, and 16 in low-income and middle-income countries. We identified interventions that acted through fiscal levers (n=5; eg, removing primary school fees), marketing or advertising levers (n=5; eg, plain packaging of tobacco products), availability levers (n=8; eg, cleaner fuel replacement programmes for cooking stoves), and legislative levers (n=8; eg, mandated provision of hearing protective equipment at noisy workplaces). We were not able to recommend any interventions for diabetes (other than indirectly through action on obesity and physical inactivity), depression, or social isolation. INTERPRETATION: This complex evidence review provides policymakers and public health professionals with an evidence-based framework to help develop and implement population-level approaches for dementia risk reduction that could significantly reduce the population's risk of dementia and reduce health inequalities. FUNDING: None.

Post-Translational Modifications of the DUX4 Protein Impact Toxic Function in FSHD Cell Models.

OBJECTIVE: Facioscapulohumeral muscular dystrophy (FSHD) is caused by abnormal de-repression of the myotoxic transcription factor DUX4. Although the transcriptional targets of DUX4 are known, the regulation of DUX4 protein and the molecular consequences of this regulation are unclear. Here, we used in vitro models of FSHD to identify and characterize DUX4 post-translational modifications (PTMs) and their impact on the toxic function of DUX4. METHODS: We immunoprecipitated DUX4 protein and performed mass spectrometry to identify PTMs. We then characterized DUX4 PTMs and potential enzyme modifiers using mutagenesis, proteomics, and biochemical assays in HEK293 and human myoblast cell lines. RESULTS: We identified 17 DUX4 amino acids with PTMs, and generated 55 DUX4 mutants designed to prevent or mimic PTMs. Five mutants protected cells against DUX4-mediated toxicity and reduced the ability of DUX4 to transactivate FSHD biomarkers. These mutagenesis results suggested that DUX4 toxicity could be counteracted by serine/threonine phosphorylation and/or inhibition of arginine methylation. We therefore sought to identify modifying enzymes that could play a role in regulating DUX4 PTMs. We found several enzymes capable of modifying DUX4 protein in vitro, and confirmed that protein kinase A (PKA) and protein arginine methyltransferase (PRMT1) interact with DUX4. INTERPRETATION: These results support that DUX4 is regulated by PTMs and set a foundation for developing FSHD drug screens based mechanistically on DUX4 PTMs and modifying enzymes. ANN NEUROL 2023;94:398-413.

Frailty is associated with the clinical expression of neuropsychological deficits in older adults.

BACKGROUND AND PURPOSE: The aim was to determine whether frailty is associated with the relationship between neuropsychological markers and global cognition in older adults. METHODS: Cross-sectional analyzes were conducted of baseline data from three large cohort studies: National Alzheimer's Coordinating Center (NACC), Rush Memory and Aging Project (MAP) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Studies recruited North American participants along the spectrum of cognitive functioning (44% no cognitive impairment at baseline). A frailty index was computed in each dataset. Frailty indices, neuropsychological tests (including measures of processing speed, episodic, semantic and working memory) and Mini-Mental State Examination (MMSE) scores were the variables of interest, with age, sex, education and apolipoprotein E ε4 evaluated as confounders. RESULTS: Across all studies, 23,819 participants aged 55-104 (57% female) were included in analyzes. Frailty index scores were significantly and inversely associated with MMSE scores and significantly moderated relationships between neuropsychological test scores and MMSE scores. In participants with higher frailty index scores, lower neuropsychological test scores were more strongly associated with lower MMSE scores (standardized interaction coefficients ranged from -0.19 to -1.17 in NACC, -0.03 to -2.27 in MAP and -0.04 to -0.38 in ADNI, depending on the neuropsychological test). These associations were consistent across the different databases and were mostly independent of the composition of frailty indices (i.e., after excluding possible symptoms of dementia). CONCLUSIONS: Amongst older Americans, frailty is associated with the cognitive expression of neuropsychological deficits. Implementation of frailty assessment in routine neurological and neuropsychological practice should be considered to optimize care outcomes for older adults.

Exploring English policymakers' attitudes towards dementia risk reduction: A qualitative study.

AIM: A growing evidence-base indicates that dementia occurrence can be changed. This has been linked to potentially modifiable risk factors. Risk reduction and primary prevention strategies are increasingly recognized as needing to include population-level policies to tackle the social and commercial determinants of health. How this knowledge can influence policymaking on dementia prevention is unknown. Understanding attitudes of policymakers is an important step in translating evidence into practice, helping to gauge system readiness for implementation, and potential barriers and enablers for influencing policy. The aim of this qualitative study is to explore the understanding of, and attitudes to, dementia risk reduction and population-level prevention strategies amongst English policymakers at national, regional, and local level. METHODS: Semi-structured interviews were undertaken with a range of dementia and prevention policymakers, with purposive sampling of national and local policymakers, including politicians, government officials, health system leaders, academics, and dementia charity directors. Analysis of interview transcripts was undertaken by thematic analysis. RESULTS: 14 policymakers were interviewed between November 2021 and February 2022. Three main themes were identified (1) Preventability of dementia, (2) Prevention approach, (3) Barriers and facilitators to improving the approach. DISCUSSION: Policymakers generally held dementia to be partially preventable. Policymakers recognised that both individual- and population-level approaches to primary prevention of dementia are required - with some policymakers perceiving that population-level approaches are under-utilised. Key barriers to implementing more population-level approaches were identified as the complexity and co-ordination required to effectively tackle upstream determinants of health.

How to construct a frailty index from an existing dataset in 10 steps.

BACKGROUND: The frailty index is commonly used in research and clinical practice to quantify health. Using a health deficit accumulation model, a frailty index can be calculated retrospectively from data collected via survey, interview, performance test, laboratory report, clinical or administrative medical record, or any combination of these. Here, we offer a detailed 10-step approach to frailty index creation, with a worked example. METHODS: We identified 10 steps to guide the creation of a valid and reliable frailty index. We then used data from waves 5 to 12 of the Health and Retirement Study (HRS) to illustrate the steps. RESULTS: The 10 steps are as follows: (1) select every variable that measures a health problem; (2) exclude variables with more than 5% missing values; (3) recode the responses to 0 (no deficit) through 1 (deficit); (4) exclude variables when coded deficits are too rare (< 1%) or too common (> 80%); (5) screen the variables for association with age; (6) screen the variables for correlation with each other; (7) count the variables retained; (8) calculate the frailty index scores; (9) test the characteristics of the frailty index; (10) use the frailty index in analyses. In our worked example, we created a 61-item frailty index following these 10 steps. CONCLUSIONS: This 10-step procedure can be used as a template to create one continuous health variable. The resulting high-information variable is suitable for use as an exposure, predictor or control variable, or an outcome measure of overall health and ageing.

What would a population-level approach to dementia risk reduction look like, and how would it work?

Dementia is a leading global public health challenge. Prevention approaches have traditionally focused on individual-level strategies. However, such approaches have limited potential, particularly for resource-constrained populations in which exposure to risk factors is greatest, and exposure to protective factors is lowest. A population-level approach to dementia risk reduction is therefore essential to meet the scale of the challenge and to tackle global inequalities in risk and incidence of disease. Such approaches can be highly cost effective. In this viewpoint article, we describe what such an approach should look like, barriers and facilitators to success, and how we should go about achieving it. We include 10 strategic goals to achieve population-level dementia risk reduction and protection enhancement, targeted at researchers, professionals, funders, science communicators, governments, businesses, and policy makers. If we are to significantly reduce the prevalence of dementia there must be increased emphasis on population-level approaches. HIGHLIGHTS: Dementia risk reduction is a global public health priority Population-level approaches change societal conditions to make them less conducive to dementia's modifiable risk factors, and increase exposure to protective factors. Urgent development of population-level approaches is required to reduce the prevalence of, and inequalities in, dementia Action is required from researchers, governments and business, funders, public health professionals, and science communicators.

Frailty and Risk of Dementia in Mild Cognitive Impairment Subtypes.

Risk factors for developing dementia from mild cognitive impairment (MCI) probably differ between MCI subtypes. We investigated how frailty relates to dementia risk in amnestic MCI (a-MCI; n = 2,799) and non-amnestic MCI (na-MCI; n = 629) in the National Alzheimer's Coordinating Center database. Although higher frailty increased dementia risk for people with either a-MCI or na-MCI, the larger risk was in na-MCI (interaction hazard ratio = 1.35 [95% confidence interval = 1.15-1.59], p < 0.001). Even after the onset of clinically significant cognitive impairment, poor general health, quantified by a high degree of frailty, is a significant risk for dementia. ANN NEUROL 2021;89:1221-1225.

Frailty, lifestyle, genetics and dementia risk.

OBJECTIVE: To optimise dementia prevention strategies, we must understand the complex relationships between lifestyle behaviours, frailty and genetics. METHODS: We explored relationships between frailty index, healthy lifestyle and polygenic risk scores (all assessed at study entry) and incident all-cause dementia as recorded on hospital admission records and death register data. RESULTS: The analytical sample had a mean age of 64.1 years at baseline (SD=2.9) and 53% were women. Incident dementia was detected in 1762 participants (median follow-up time=8.0 years). High frailty was associated with increased dementia risk independently of genetic risk (HR 3.68, 95% CI 3.11 to 4.35). Frailty mediated 44% of the relationship between healthy lifestyle behaviours and dementia risk (indirect effect HR 0.95, 95% CI 0.95 to 0.96). Participants at high genetic risk and with high frailty had 5.8 times greater risk of incident dementia compared with those at low genetic risk and with low frailty (HR 5.81, 95% CI 4.01 to 8.42). Higher genetic risk was most influential in those with low frailty (HR 1.31, 95% CI 1.22 to 1.40) but not influential in those with high frailty (HR 1.09, 95% CI 0.92 to 1.28). CONCLUSION: Frailty is strongly associated with dementia risk and affects the risk attributable to genetic factors. Frailty should be considered an important modifiable risk factor for dementia and a target for dementia prevention strategies, even among people at high genetic risk.

Cumulative health deficits, APOE genotype, and risk for later-life mild cognitive impairment and dementia.

OBJECTIVE: To determine whether health-deficit accumulation is associated with the risks of mild cognitive impairment (MCI) and dementia independently of APOE genotype. METHODS: A frailty index was calculated using the deficit-accumulation approach in participants aged 50 years and older from the National Alzheimer's Coordinating Center. Cognitive status was determined by clinical evaluation. Using multistate transition models, we assessed the extent to which an increasing degree of frailty affected the probabilities of transitioning between not cognitively impaired (NCI), MCI, and dementia. RESULTS: Participants (n=14 490) had a mean age of 72.2 years (SD=8.9 years; range=50-103 years). Among those NCI at baseline (n=9773), each 0.1 increment increase in the frailty index was associated with a higher risk of developing MCI and a higher risk of progressing to dementia. Among those with MCI at baseline (n=4717), higher frailty was associated with a higher risk of progressing to dementia, a lower probability of being reclassified as NCI, and a higher likelihood of returning to MCI in those that were reclassified as NCI. These risk effects were present and similar in both carriers and non-carriers of the APOE ε4 allele. CONCLUSION: Among older Americans, health-deficit accumulation affects the likelihood of progressive cognitive impairment and the likelihood of cognitive improvement independently of a strong genetic risk factor for dementia. Frailty represents an important risk factor for cognitive dysfunction and a marker of potential prognostic value.

Frailty and neuropathology in relation to dementia status: the Cambridge City over-75s Cohort study.

OBJECTIVE: To examine the relative contributions of frailty and neuropathology to dementia expression in a population-based cohort study. DESIGN: Cross-sectional analysis of observational data. SETTING: Population-representative clinicopathological cohort study. PARTICIPANTS: Adults aged 75+ recruited from general practice registries in Cambridge, UK, in 1985. MEASUREMENTS: A 39-item frailty index and 15-item neuropathological index were used to operationalize frailty and neuropathology, respectively. Dementia status was ascertained by clinical consensus at time of death. Relationships were evaluated using logistic regression models in participants with autopsy records (n = 183). Model fit was assessed using change in deviance. Population attributable fraction for frailty was evaluated in relation to dementia incidence in a representative sample of the survey participants (n = 542). RESULTS: Participants with autopsy were 92.3 ± 4.6 years at time of death, and mostly women (70%). Average frailty index value at last survey before death was 0.34 ± 0.16. People with dementia (63% of the sample) were frailer, had lower MMSE scores, and a higher burden of neuropathology. Frailty and neuropathological burden were significantly and independently associated with dementia status, without interaction; frailty explained an additional 3% of the variance in the model. Assuming a causal relationship and based on population-attributable fraction analyses, preventing severe frailty (Frailty Index ≥ 0.40) could have avoided 14.2% of dementia cases in this population-based cohort. CONCLUSIONS: In the very old, frailty contributes to the risk for dementia beyond its relationship with the burden of traditional dementia neuropathologies. Reducing frailty could have important implications for controlling the burden of dementia. Future research on frailty interventions should include dementia risk as a key outcome, public health interventions and policy decisions should consider frailty as a key risk factor for dementia, and biomedical research should focus on elucidating shared mechanisms of frailty and dementia development.

Considerations for the use of Cre recombinase for conditional gene deletion in the mouse lens.

BACKGROUND: Despite a number of different transgenes that can mediate DNA deletion in the developing lens, each has unique features that can make a given transgenic line more or less appropriate for particular studies. The purpose of this work encompasses both a review of transgenes that lead to the expression of Cre recombinase in the lens and a comparative analysis of currently available transgenic lines with a particular emphasis on the Le-Cre and P0-3.9GFPCre lines that can mediate DNA deletion in the lens placode. Although both of these transgenes are driven by elements of the Pax6 P0 promoter, the Le-Cre transgene consistently leads to ocular abnormalities in homozygous state and can lead to ocular defects on some genetic backgrounds when hemizygous. RESULT: Although both P0-3.9GFPCre and Le-Cre hemizygous transgenic mice undergo normal eye development on an FVB/N genetic background, Le-Cre homozygotes uniquely exhibit microphthalmia. Examination of the expression patterns of these two transgenes revealed similar expression in the developing eye and pancreas. However, lineage tracing revealed widespread non-ocular CRE reporter gene expression in the P0-3.9GFPCre transgenic mice that results from stochastic CRE expression in the P0-3.9GFPCre embryos prior to lens placode formation. Postnatal hemizygous Le-Cre transgenic lenses express higher levels of CRE transcript and protein than the hemizygous lenses of P0-3.9GFPCre mice. Transcriptome analysis revealed that Le-Cre hemizygous lenses deregulated the expression of 15 murine genes, several of which are associated with apoptosis. In contrast, P0-3.9GFPCre hemizygous lenses only deregulated two murine genes. No known PAX6-responsive genes or genes directly associated with lens differentiation were deregulated in the hemizygous Le-Cre lenses. CONCLUSIONS: Although P0-3.9GFPCre transgenic mice appear free from ocular abnormalities, extensive non-ocular CRE expression represents a potential problem for conditional gene deletion studies using this transgene. The higher level of CRE expression in Le-Cre lenses versus P0-3.9GFPCre lenses may explain abnormal lens development in homozygous Le-Cre mice. Given the lack of deregulation of PAX6-responsive transcripts, we suggest that abnormal eye development in Le-Cre transgenic mice stems from CRE toxicity. Our studies reinforce the requirement for appropriate CRE-only expressing controls when using CRE as a driver of conditional gene targeting strategies.

Validation of the Pictorial Fit-Frail Scale in a memory clinic setting.

OBJECTIVE: To assess the feasibility, reliability, and validity of the Pictorial Fit-Frail Scale (PFFS) among patients, caregivers, nurses, and geriatricians in an outpatient memory clinic. DESIGN: Observational study. SETTING: A Canadian referral-based outpatient memory clinic. PARTICIPANTS: Fifty-one consecutive patients and/or their caregivers, as well as attending nurses and geriatricians. MEASUREMENTS: Participants (patients, caregivers, nurses, and geriatricians) were asked to complete the PFFS based on the patient's current level of functioning. Time-to-complete and level of assistance required was recorded. Participants also completed a demographic survey and patients' medical history (including the Mini-Mental State Examination [MMSE], and Comprehensive Geriatric Assessment [CGA]) was obtained via chart review. RESULTS: Patient participants had a mean age of 77.3±10.1 years, and average MMSE of 22.0±7.0, and 53% were female. Participants were able to complete the PFFS with minimal assistance, and their average times to completion were 4:38±2:09, 3:11±1:16, 1:05±0:19, and 0:57±0:30 (mins:sec) for patients, caregivers, nurses, and geriatricians, respectively. Mean PFFS scores as rated by patients, caregivers, nurses, and geriatricians were 9.0±5.7, 13.1±6.6, 11.2±4.5, 11.9±5.9, respectively. Patients with low MMSE scores (0-24) took significantly longer to complete the scale and had higher PFFS scores. Inter-rater reliability between nurses and geriatricians was 0.74, but it was lower when assessments were done for patients with low MMSE scores (0.47, p<0.05). The correlation between PFFS and a Frailty Index based on the CGA was moderately high and statistically significant for caregivers, nurses, and geriatricians (r=0.66, r=0.59, r=0.64, respectively), but not patients. CONCLUSIONS: The PFFS is feasible, even among people with some slight cognitive impairment, though it may be less useful when patients with severe dementia administer it to themselves. Further, the PFFS may help inform clinicians about areas of concern as identified by patients, enabling them to contribute more to diagnostic and treatment decisions or helping with health tracking and care planning.

Investigating the feasibility and reliability of the Pictorial Fit-Frail Scale.

BACKGROUND: the Pictorial Fit-Frail Scale (PFFS) was designed as a simple and practical approach to the identification of frailty. OBJECTIVES: To investigate the feasibility and reliability of this visual image-based tool, when used by patients, caregivers and healthcare professionals (HCPs) in clinical settings. DESIGN: observational study. SETTING: three outpatient geriatric healthcare settings. SUBJECTS: patients (n = 132), caregivers (n = 84), clinic nurses (n = 7) and physicians (n = 10). METHODS: the PFFS was administered to all patients. Where available, HCPs and caregivers completed the scale based on the patients' health. In the geriatric day hospital, the PFFS was completed on admission and administered again within 7-14 days. Time and level of assistance needed to complete the scale were recorded. Intraclass correlation coefficients (ICCs) and 95% confidence intervals (CIs) were used to assess test-retest and inter-rater reliability. RESULTS: mean time to complete the scale (minutes:seconds ± SD) was 4:30 ± 1:54 for patients, 3:13 ± 1:34 for caregivers, 1:28 ± 0:57 for nurses and 1:32 ± 1:40 for physicians. Most patients were able to complete the scale unassisted (64%). Mean patient PFFS score was 11.1 ± 5.3, mean caregiver score was 13.2 ± 6.3, mean nurse score was 10.7 ± 4.5 and mean physician score was 11.1 ± 5.6; caregiver scores were significantly higher than patient (P < 0.01), nurse (P < 0.001) and physician (P < 0.01) scores. Test-retest reliability was good for patients (ICC = 0.78, [95%CI = 0.67-0.86]) and nurses (ICC = 0.88 [0.80-0.93]). Inter-rater reliability between HCPs was also good (ICC = 0.75 [0.63-0.83]). CONCLUSION: the PFFS is a feasible and reliable tool for use with patients, caregivers and HCPs in clinical settings. Further research on the validity and responsiveness of the tool is necessary.

The impact of frailty and cognitive impairment on quality of life: employment and social context matter.

ABSTRACTBackground:How cognitive impairment and frailty combine to impact on older adults' Quality of Life (QoL) is little studied, but their inter-relationships are important given how often they co-occur. We sought to examine how frailty and cognitive impairment, as well as changes in frailty and cognition, are associated with QoL and how these relationships differ based on employment status and social circumstances. METHODS: Using the Survey of Health, Ageing, and Retirement in Europe data, we employed moderated regression, followed by simple slopes analysis, to examine how the relationships between levels of health (i.e., of frailty and cognition) and QoL varied as a function of sex, age, education, social vulnerability, and employment status. We used the same analysis to test whether the relationships between changes in health (over two years) and QoL varied based on these same moderators. RESULTS: Worse frailty (b = -1.61, p < .001) and cognitive impairment (b = -0.08, p < .05) were each associated with lower QoL. Increase in frailty (b = -2.17, p < .001) and cognitive impairment (b = -0.25, p < .001) were associated with lower QoL. The strength of these relationships varied depending on interactions with age, sex, education, social vulnerability, and employment status. Higher social vulnerability was consistently associated with lower QoL in analyses examining both static health (b = -3.16, p < .001) and change in health (b = -0.66, p < .001). CONCLUSIONS: Many predictors of QoL are modifiable, providing potential targets to improve older adults' QoL. Even so, the relationships between health, cognition, and social circumstances that shape QoL in older adults are complex, highlighting the importance for individualized interventions.

Mouse Dux is myotoxic and shares partial functional homology with its human paralog DUX4.

D4Z4 repeats are present in at least 11 different mammalian species, including humans and mice. Each repeat contains an open reading frame encoding a double homeodomain (DUX) family transcription factor. Aberrant expression of the D4Z4 ORF called DUX4 is associated with the pathogenesis of Facioscapulohumeral muscular dystrophy (FSHD). DUX4 is toxic to numerous cell types of different species, and over-expression caused dysmorphism and developmental arrest in frogs and zebrafish, embryonic lethality in transgenic mice, and lesions in mouse muscle. Because DUX4 is a primate-specific gene, questions have been raised about the biological relevance of over-expressing it in non-primate models, as DUX4 toxicity could be related to non-specific cellular stress induced by over-expressing a DUX family transcription factor in organisms that did not co-evolve its regulated transcriptional networks. We assessed toxic phenotypes of DUX family genes, including DUX4, DUX1, DUX5, DUXA, DUX4-s, Dux-bl and mouse Dux. We found that DUX proteins were not universally toxic, and only the mouse Dux gene caused similar toxic phenotypes as human DUX4. Using RNA-seq, we found that 80% of genes upregulated by Dux were similarly increased in DUX4-expressing cells. Moreover, 43% of Dux-responsive genes contained ChIP-seq binding sites for both Dux and DUX4, and both proteins had similar consensus binding site sequences. These results suggested DUX4 and Dux may regulate some common pathways, and despite diverging from a common progenitor under different selective pressures for millions of years, the two genes maintain partial functional homology.

High mobility group box-1 (HMGB1) is increased in injured mouse spinal cord and can elicit neurotoxic inflammation.

Inflammation is a ubiquitous but poorly understood consequence of spinal cord injury (SCI). The mechanisms controlling this response are unclear but culminate in the sequential activation of resident and recruited immune cells. Collectively, these cells can exert divergent effects on cell survival and tissue repair. HMGB1 is a ubiquitously expressed DNA binding protein and also a potent inflammatory stimulus. Necrotic cells release HGMB1, but HMGB1 also is actively secreted by inflammatory macrophages. A goal of this study was to quantify spatio-temporal patterns of cellular HMGB1 expression in a controlled mouse model of experimental SCI then determine the effects of HMGB1 on post-SCI neuroinflammation and recovery of function. We documented SCI-induced changes in nuclear and cytoplasmic distribution of HMGB1 in various cell types after SCI. The data reveal a time-dependent increase in HMGB1 mRNA and protein with protein reaching maximal levels 24-72 h post-injury then declining toward baseline 14-28 days post-SCI. Although most cells expressed nuclear HMGB1, reduced nuclear labeling with increased cytoplasmic expression was found in a subset of CNS macrophages suggesting that those cells begin to secrete HMGB1 at the injury site. In vitro data indicate that extracelluar HMGB1 helps promote the development of macrophages with a neurotoxic phenotype. The ability of HMGB1 to elicit neurotoxic macrophage functions was confirmed in vivo; 72 h after injecting 500 ng of recombinant HMGB1 into intact spinal cord ventral horn, inflammatory CNS macrophages co-localized with focal areas of neuronal killing. However, attempts to confer neuroprotection after SCI by blocking HMGB1 with a neutralizing antibody were unsuccessful. Collectively, these data implicate HMGB1 as a novel regulator of post-SCI inflammation and suggest that inhibition of HMGB1 could be a novel therapeutic target after SCI. Future studies will need to identify better methods to deliver optimal concentrations of HMGB1 antagonists to the injured spinal cord.

Social vulnerability as a predictor of mortality and disability: cross-country differences in the survey of health, aging, and retirement in Europe (SHARE).

BACKGROUND: Social factors are important for health; the concept of social vulnerability considers them holistically and can be quantified using a social vulnerability index (SVI). AIMS: Investigate the SVI in relation to mortality and disability, independent of frailty, in middle-aged and older European adults, and examine how this relationship differs across countries. METHODS: 18,289 community-dwelling participants 50 years and older from SHARE wave 1 (2004) were included in our sample. A 32-item SVI and a 57-item frailty index were calculated for individuals as the proportion of deficits present out of the total number considered. Countries were grouped based on their social model: Nordic (Denmark, Netherlands, Sweden), Continental (France, Austria, Belgium, Germany) and Mediterranean (Greece, Italy, Spain). Outcome measures were 5-year mortality and disability (≥1 dependency with activities of daily living) at wave 4 (2011-2012). RESULTS: High social vulnerability (highest quartile) predicted mortality (HR = 1.25, 95 % CI 1.07-1.45), and disability (OR = 1.36, 95 % CI 1.15-1.62) after controlling for age, sex, baseline disability and frailty level. When analyses were split by social model, social vulnerability remained a significant predictor of mortality for Continental (HR = 1.36, CI 1.05-1.77) and Mediterranean (HR = 1.33, CI 1.03-1.72) countries, but not the Nordic (HR = 1.02, CI 0.76-1.37) countries; the same pattern was observed for disability (Nordic OR = 1.06, CI 0.72-1.55; Continental OR = 1.53, CI 1.20-1.96; Mediterranean OR = 1.58, CI 1.13-2.23). DISCUSSION/CONCLUSIONS: Social vulnerability was a significant predictor of mortality and disability, though when controlling for frailty, this relationship varied by the social model of the country.

Comparison of alternate scoring of variables on the performance of the frailty index.

BACKGROUND: The frailty index (FI) is used to measure the health status of ageing individuals. An FI is constructed as the proportion of deficits present in an individual out of the total number of age-related health variables considered. The purpose of this study was to systematically assess whether dichotomizing deficits included in an FI affects the information value of the whole index. METHODS: Secondary analysis of three population-based longitudinal studies of community dwelling individuals: Nova Scotia Health Survey (NSHS, n = 3227 aged 18+), Survey of Health, Ageing and Retirement in Europe (SHARE, n = 37546 aged 50+), and Yale Precipitating Events Project (Yale-PEP, n = 754 aged 70+). For each dataset, we constructed two FIs from baseline data using the deficit accumulation approach. In each dataset, both FIs included the same variables (23 in NSHS, 70 in SHARE, 33 in Yale-PEP). One FI was constructed with only dichotomous values (marking presence or absence of a deficit); in the other FI, as many variables as possible were coded as ordinal (graded severity of a deficit). Participants in each study were followed for different durations (NSHS: 10 years, SHARE: 5 years, Yale PEP: 12 years). RESULTS: Within each dataset, the difference in mean scores between the ordinal and dichotomous-only FIs ranged from 0 to 1.5 deficits. Their ability to predict mortality was identical; their absolute difference in area under the ROC curve ranged from 0.00 to 0.02, and their absolute difference between Cox Hazard Ratios ranged from 0.001 to 0.009. CONCLUSIONS: Analyses from three diverse datasets suggest that variables included in an FI can be coded either as dichotomous or ordinal, with negligible impact on the performance of the index in predicting mortality.

Population-level interventions for the primary prevention of dementia: a complex evidence review.

Dementia risk reduction is a global public health priority. Existing primary prevention approaches have favored individual-level interventions, with a research and policy gap for population-level interventions. We conducted a complex, multi-stage, evidence review to identify empirical evidence on population-level interventions for each of the modifiable risk factors identified by the Lancet Commission on dementia (2020). Through a comprehensive series of targeted searches, we identified 4604 articles, of which 135 met our inclusion criteria. We synthesized evidence from multiple sources, including existing non-communicable disease prevention frameworks, and graded the consistency and comprehensiveness of evidence. We derived a population-level intervention framework for dementia risk reduction, containing 26 high- and moderate-confidence policy recommendations, supported by relevant information on effect sizes, sources of evidence, contextual information, and implementation guidance. This review provides policymakers with the evidence they need, in a useable format, to address this critical public health policy gap. Funding: SW is funded by a National Institute for Health and Care Research (NIHR) Doctoral Fellowship. WW and LF are part funded by the NIHR Applied Research Collaboration East of England. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.