Lower cognitive baseline scores predict cognitive training success after 6 months in healthy older adults: Results of an online RCT

Background: Identifying predictors for general cognitive training (GCT) success in healthy older adults has many potential uses, including aiding intervention and improving individual dementia risk prediction, which are of high importance in health care. However, the factors that predict training improvements and the temporal course of predictors (eg, do the same prognostic factors predict training success after a short training period, such as 6 weeks, as well as after a longer training period, such as 6 months?) are largely unknown. Methods: Data (N = 4,184 healthy older individuals) from two arms (GCT vs. control) of a three-arm randomized controlled trial were reanalyzed to investigate predictors of GCT success in five cognitive tasks (grammatical reasoning, spatial working memory, digit vigilance, paired association learning, and verbal learning) at three time points (after 6 weeks, 3 months, and 6 months of training). Possible investigated predictors were sociodemographic variables, depressive symptoms, number of training sessions, cognitive baseline values, and all interaction terms (group*predictor). Results: Being female was predictive for improvement in grammatical reasoning at 6 weeks in the GCT group, and lower cognitive baseline scores were predictive for improvement in spatial working memory and verbal learning at 6 months. Conclusion: Our data indicate that predictors seem to change over time; remarkably, lower baseline performance at study entry is only a significant predictor at 6 months training. Possible reasons for these results are discussed in relation to the compensation hypothesis. J Am Geriatr Soc 68:-, 2020.This article is freely available via Open Access. Click on the Publisher URL to access it via the publisher's site.Alzheimer's Society UKpublished version, accepted version (12 month embargo), submitted versio

Effects of purified anthocyanins in people at risk for dementia: Study protocol for a phase II randomized controlled trial

Background: The number of people with dementia is increasing, with huge challenges for society and health-care systems. There are no disease-modifying therapies available. There is, therefore, an urgent need to identify strategies to reduce the risk of developing dementia. Anthocyanins are a class of compounds found in dark berries and fruits with some effects that might reduce the risk for cognitive decline and the development of dementia in older people. Aim: This phase II three-center, randomized, 24-week, placebo-controlled study, ongoing in Norway, aims to evaluate the safety, and efficacy of anthocyanins in modifying key dementia-related mechanisms and maintain cognitive functioning in older people at risk for dementia. Methods: Participants (220 individuals aged 60–80 years) who meet the inclusion criteria (either mild cognitive impairment or two or more cardiometabolic disorders) are being enrolled in this study at three different centers in Norway. Participants are block randomized to identically appearing capsules containing 80 mg of naturally purified anthocyanins or placebo 1:1. Dosage is 2 + 2 capsules per day for 24 weeks. The primary outcome will be the quality of episodic memory score, a composite measure from the extensively validated online cognitive test battery CogTrack®, which is administered at baseline and monthly for the next 6 months. Secondary outcomes include other major scores from CogTrack, as well as a range of neuroimaging and other biomarkers. Anthocyanin metabolites will be measured in blood and cerebrospinal fluid. The change from baseline scores will be subject to a mixed model for repeated measures analysis of covariance. The primary comparison will be the contrast (difference in the least-square means) between active and placebo at the end of the study (week 24). The primary study population will be a modified intention-to-treat population (ClinicalTrials.gov, NCT03419039). Discussion: This study aims to demonstrate whether there are beneficial effects of purified anthocyanins on cognition and relevant biological functions in people at increased risk for dementia. Forthcoming results may contribute to further improvement of intervention strategies to prevent or delay the onset of dementia, including a potential decision to take anthocyanins toward phase III trials.publishedVersio

Learner Treatment Kit (school-based malaria diagnosis and treatment in southern Malawi): Study data and support materials

A set of data collection tools, STATA .do processing scripts, and resultant datasets produced as part of the Learner Treatment Kit (LTK) Project, a study funded to evaluate the impact of a school-based programme of malaria diagnosis and treatment (malaria case management) as part of a wider school first-aid kit exploring school attendance, health and education outcomes. The study conducted a cluster randomized controlled trial in 58 primary schools in TA Chikowi, Zomba district of southern Malawi. The intervention, implemented between 2013-2015 in 29 randomly selected schools from the total of 58 schools, comprised providing free-of-charge malaria rapid diagnostic tests (RDTs) and artemisinin-based combination therapy (ACT) to primary schools to be used by trained teachers to diagnose and treat uncomplicated malaria, as part of basic first aid kits known as "Learner Treatment Kits" (LTKs). The primary outcome was school attendance, assessed through teacher-recorded school attendance registers and periodic spot checks. Secondary outcomes included prevalence of Plasmodium spp. infection, anaemia, educational performance, self-reported child wellbeing, and health seeking behaviour. The trial is registered with ClinicalTrials.gov, NCT02213211

Learner Treatment Kit (school-based malaria diagnosis and treatment in southern Malawi): Study data and support materials

A set of data collection tools, STATA .do processing scripts, and resultant datasets produced as part of the Learner Treatment Kit (LTK) Project, a study funded to evaluate the impact of a school-based programme of malaria diagnosis and treatment (malaria case management) as part of a wider school first-aid kit exploring school attendance, health and education outcomes. The study conducted a cluster randomized controlled trial in 58 primary schools in TA Chikowi, Zomba district of southern Malawi. The intervention, implemented between 2013-2015 in 29 randomly selected schools from the total of 58 schools, comprised providing free-of-charge malaria rapid diagnostic tests (RDTs) and artemisinin-based combination therapy (ACT) to primary schools to be used by trained teachers to diagnose and treat uncomplicated malaria, as part of basic first aid kits known as "Learner Treatment Kits" (LTKs). The primary outcome was school attendance, assessed through teacher-recorded school attendance registers and periodic spot checks. Secondary outcomes included prevalence of Plasmodium spp. infection, anaemia, educational performance, self-reported child wellbeing, and health seeking behaviour. The trial is registered with ClinicalTrials.gov, NCT02213211

Impact of school-based malaria case management on school attendance, health and education outcomes: a cluster randomised trial in southern Malawi.

Introduction: Evidence indicates children who suffer from ill-health are less likely to attend or complete schooling. Malaria is an important cause of morbidity and mortality in school-age children. However, they are less likely to receive malaria treatment at health facilities and evidence for how to improve schoolchildren's access to care is limited. This study aimed to evaluate the impact of a programme of school-based malaria case management on schoolchildren's attendance, health and education. Methods: A cluster randomised controlled trial was conducted in 58 primary schools in Zomba District, Malawi, 2011-2015. The intervention, implemented in 29 randomly selected schools, provided malaria rapid diagnostic tests and artemisinin-based combination therapy to diagnose and treat uncomplicated malaria as part of basic first aid kits known as 'Learner Treatment Kits' (LTK). The primary outcome was school attendance, assessed through teacher-recorded daily attendance registers and independent periodic attendance spot checks. Secondary outcomes included prevalence of Plasmodium spp infection, anaemia, educational performance, self-reported child well-being and health-seeking behaviour. A total of 9571 children from standards 1-7 were randomly selected for assessment of school attendance, with subsamples assessed for the secondary outcomes. Results: Between November 2013 and March 2015, 97 trained teachers in 29 schools provided 32 685 unique consultations. Female schoolchildren were significantly more likely than male to seek a consultation (unadjusted OR=1.78 (95% CI 1.58 to 2.00). No significant intervention effect was observed on the proportion of child-days recorded as absent in teacher registers (n=9017 OR=0.90 (95% CI 0.77 to 1.05), p=0.173) or of children absent during random school visits-spot checks (n=5791 OR=1.09 (95% CI 0.87 to 1.36), p=0.474). There was no significant impact on child-reported well-being, prevalence of Plasmodium spp, anaemia or education scores. Conclusion: Despite high community demand, the LTK programme did not reduce schoolchildren's absenteeism or improve health or education outcomes in this study setting. Trial registration number: ClinicalTrials.gov NCT02213211

Planning and optimising a digital intervention to protect older adults' cognitive health.

BackgroundBy 2050, worldwide dementia prevalence is expected to triple. Affordable, scalable interventions are required to support protective behaviours such as physical activity, cognitive training and healthy eating. This paper outlines the theory-, evidence- and person-based development of 'Active Brains': a multi-domain digital behaviour change intervention to reduce cognitive decline amongst older adults.MethodsDuring the initial planning phase, scoping reviews, consultation with PPI contributors and expert co-investigators and behavioural analysis collated and recorded evidence that was triangulated to inform provisional 'guiding principles' and an intervention logic model. The following optimisation phase involved qualitative think aloud and semi-structured interviews with 52 older adults with higher and lower cognitive performance scores. Data were analysed thematically and informed changes and additions to guiding principles, the behavioural analysis and the logic model which, in turn, informed changes to intervention content.ResultsScoping reviews and qualitative interviews suggested that the same intervention content may be suitable for individuals with higher and lower cognitive performance. Qualitative findings revealed that maintaining independence and enjoyment motivated engagement in intervention-targeted behaviours, whereas managing ill health was a potential barrier. Social support for engaging in such activities could provide motivation, but was not desirable for all. These findings informed development of intervention content and functionality that appeared highly acceptable amongst a sample of target users.ConclusionsA digitally delivered intervention with minimal support appears acceptable and potentially engaging to older adults with higher and lower levels of cognitive performance. As well as informing our own intervention development, insights obtained through this process may be useful for others working with, and developing interventions for, older adults and/or those with cognitive impairment

Curriculum in early childhood education: critical questions about content, coherence, and control

A continuing struggle over curriculum in early childhood education is evident in contemporary research and debate at national and international levels. This reflects the dominant influence of developmental psychology in international discourses, and in policy frameworks that determine approaches to curriculum, pedagogy, and assessment. Focusing on early childhood education, we argue that this struggle generates critical questions about three significant themes within curriculum theory: content, coherence, and control. We outline two positions from which these themes can be understood: Developmental and Educational Psychology and contemporary policy frameworks. We argue that within and between these positions, curriculum content, coherence, and control are viewed in different and sometimes oppositional ways. Following this analysis, we propose that a focus on ‘working theories’ as a third position offers possibilities for addressing some of these continuing struggles, by exploring different implications for how content, coherence, and control might be understood. We conclude that asking critical questions of curriculum in early childhood education is a necessary endeavour to develop alternative theoretical frameworks for understanding the ways in which curriculum can be considered alongside pedagogy, assessment, play, and learning

Clinical spectrum and features of activated phosphoinositide 3-kinase δ syndrome: A large patient cohort study.

BACKGROUND: Activated phosphoinositide 3-kinase δ syndrome (APDS) is a recently described combined immunodeficiency resulting from gain-of-function mutations in PIK3CD, the gene encoding the catalytic subunit of phosphoinositide 3-kinase δ (PI3Kδ). OBJECTIVE: We sought to review the clinical, immunologic, histopathologic, and radiologic features of APDS in a large genetically defined international cohort. METHODS: We applied a clinical questionnaire and performed review of medical notes, radiology, histopathology, and laboratory investigations of 53 patients with APDS. RESULTS: Recurrent sinopulmonary infections (98%) and nonneoplastic lymphoproliferation (75%) were common, often from childhood. Other significant complications included herpesvirus infections (49%), autoinflammatory disease (34%), and lymphoma (13%). Unexpectedly, neurodevelopmental delay occurred in 19% of the cohort, suggesting a role for PI3Kδ in the central nervous system; consistent with this, PI3Kδ is broadly expressed in the developing murine central nervous system. Thoracic imaging revealed high rates of mosaic attenuation (90%) and bronchiectasis (60%). Increased IgM levels (78%), IgG deficiency (43%), and CD4 lymphopenia (84%) were significant immunologic features. No immunologic marker reliably predicted clinical severity, which ranged from asymptomatic to death in early childhood. The majority of patients received immunoglobulin replacement and antibiotic prophylaxis, and 5 patients underwent hematopoietic stem cell transplantation. Five patients died from complications of APDS. CONCLUSION: APDS is a combined immunodeficiency with multiple clinical manifestations, many with incomplete penetrance and others with variable expressivity. The severity of complications in some patients supports consideration of hematopoietic stem cell transplantation for severe childhood disease. Clinical trials of selective PI3Kδ inhibitors offer new prospects for APDS treatment.T.C. is supported by National Children’s Research Centre, Our Lady’s Children’s Hospital Crumlin, Dublin, Ireland. A.C. has a Wellcome Trust Postdoctoral Training Fellowship for Clinicians (103413/Z/13/Z). K.O. is supported by funding from BBSRC, MRC, Wellcome Trust and GSK. R.D. and D.S.K are funded by National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Cambridge, UK. C.S. and S.E. are supported by the German Federal Ministry of Education and Research (BMBF 01 EO 0803 grant to the Center of Chronic immunodeficiency and BMBF 01GM1111B grant to the PID-NET initiative). S.N.F is supported in part by the Southampton UK National Institute for Health Research (NIHR) Wellcome Trust Clinical Research Facility and NIHR Respiratory Biomedical Research Unit. M.A.A.I. is funded by NHS Innovation London and King’s College Hospital Charitable Trust. A.F., S.L., A.D., F.R-L and S.K. are supported by the European Union’s 7th RTD Framework Programme (ERC advanced grant PID-IMMUNE contract 249816) and a government grant managed by the French Agence Nationale de la Recherche as part of the "Investments for the Future" program (ANR-10-IAHU-01). S.L. is supported by the Agence Nationale de la Recherche (ANR) (ANR-14-CE14-0028-01), the Foundation ARC pour la Recherche sur le Cancer (France), the Rare Diseases Foundation (France) and François Aupetit Association (France). S.L. is a senior scientist and S.K is a researcher at the Centre National de la Recherche Scientifique-CNRS (France). A.D. and S.K. are supported by the “Institut National de la Santé et de la Recherche Médicale". S.K. also supported by the Fondation pour la Recherche Médicale (grant number: ING20130526624), la Ligue Contre le Cancer (Comité de Paris) and the Centre de Référence Déficits Immunitaires Héréditaires (CEREDIH). S.O.B is supported by the Higher Education Funding Council for England. B.V. is supported by the UK Biotechnology and Biological Sciences Research Council [BB/I007806/1], Cancer Research UK [C23338/A15965) and the National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre. B.V. is consultant to Karus Therapeutics (Oxford, UK). S.N. is a Wellcome Trust Senior Research Fellow in Basic Biomedical Science (095198/Z/10/Z). S.N. is also supported by the European Research Council Starting grant 260477, the EU FP7 collaborative grant 261441 (PEVNET project) and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, UK. A.M.C. is funded by the Medical Research Council, British Lung Foundation, University of Sheffield and Cambridge NIHR-BRC. Research in A.M.C. laboratory has received non-commercial grant support from GSK, Novartis, and MedImmune.This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.jaci.2016.06.02

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations