Cerebrospinal fluid biomarkers for Alzheimer's disease in Down syndrome

Down syndrome (DS), present in nearly six million people, is associated with an extremely high risk to develop Alzheimer's disease (AD). Amyloid-β and tau pathology are omnipresent from age 40 years onward, but clinical symptoms do not appear in all DS individuals. Dementia diagnostics is complex in this population, illustrating the great need for predictive biomarkers. Although blood biomarkers have not yet proven useful, cerebrospinal fluid (CSF) biomarkers (low amyloid-β42, high t-tau, and high p-tau) effectively contribute to AD diagnoses in the general population and are increasingly used in clinical practice. Surprisingly, CSF biomarkers have been barely evaluated in DS. Breaking the taboo on CSF analyses would finally allow for the elucidation of its utility in (differential) diagnoses and staging of disease severity. A sensitive and specific biomarker profile for AD in DS would be of paramount importance to daily care, adaptive caregiving, and specific therapeutic interventions

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry

Background: Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients\u2019 clinical phenotypes and analyse the differential clinical course. Methods: We performed a hierarchical cluster analysis based on Ward\u2019s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results: A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients\u2019 prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P <.001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27\u20133.62; HR 3.42, 95%CI 2.72\u20134.31; HR 2.79, 95%CI 2.32\u20133.35), and Cluster 1 (HR 1.88, 95%CI 1.48\u20132.38; HR 2.50, 95%CI 1.98\u20133.15; HR 2.09, 95%CI 1.74\u20132.51) reported a higher risk for the three outcomes respectively. Conclusions: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes

Parent and child reports of fruit and vegetable intakes and related family environmental factors show low levels of agreement

OBJECTIVE: The purpose of the present study was to determine the level of agreement between child and parent reports of 9- to 10-year-old children's consumption of fruit and vegetables and potential family-environmental determinants. METHODS: Schoolchildren and their parents completed parallel questionnaires at baseline and at follow-up (1 year later) about usual fruit and vegetable consumption of the child, potential determinants and general demographics. Matched child-parent couples were included in the analyses (baseline = 380; follow-up = 307). To assess the level of agreement between child and parent reports at both points in time, dependent-sample t-test, correlation coefficients, weighted Cohen's kappa coefficients and Bland-Altman plots including limits of agreement were used. RESULTS: Both at baseline and at follow-up, the mean intake of fruit and vegetable reported by the children were significantly higher than reported by their parents, but differences were smaller at follow-up. Correlation coefficients between child and parent reports (0.28-0.43) and weighted Cohen's kappa coefficients (0.25-0.28) were weak to moderate. Limits of agreement were wide. CONCLUSION: The agreement between parent and child reports is weak to moderate and may depend on the age of the child. Fourth graders may overestimate their own intake of fruit and vegetables

‘It's against our law, never mind anyone else's’ : the Disability Discrimination Act 1995 and adults with learning disabilities

This study examines Part III of the Disability Discrimination Act 1995 (the provision of goods, services and facilities) in relation to adults with learning disabilities. The study had a participatory element in that self-advocates co-facilitated focus groups and joined the Research Advisory Group. The paper presents views of people with learning disabilities, garnered through focus groups and interviews, about the Act and about using services. Awareness of their rights was generally low, although activists were generally better informed. While usually offered reasonable service in shops, pubs and other facilities, people were sometimes treated unfairly. This could take three forms - being treated with a lack of courtesy and respect, failure to make reasonable adjustments and outright refusal to serve. People felt a strong sense of injustice when treated in these ways but the majority were unlikely to complain, although a few had challenged unfair treatment. The paper concludes with recommendations for policy and practice