670 research outputs found

    Trial of canakinumab, an IL-1ÎČ receptor antagonist, in patients with inclusion body myositis.

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    Objective: To assess whether canakinumab, a monoclonal antibody against IL-1ÎČ approved for autoinflammatory diseases, is effective as target-specific therapy in patients with sporadic inclusion body myositis (sIBM). Methods: Because in sIBM IL-1ÎČ colocalizes with amyloid precursor protein and upregulates amyloid aggregates enhancing degeneration, targeting IL-1ÎČ with canakinumab may arrest disease progression. On this basis, 5 ambulatory patients with sIBM participated in an institutional review board--approved open-labeled study with 150 mg canakinumab [4 bimonthly, then monthly subcutaneous injections] for a mean period of 15.8 months. Patients were assessed bimonthly with a manual dynamometer in 12 proximal and distal muscles and with grip force (GF) in both hands. Total muscle strength (TMS) was expressed in kilograms. Efficacy was defined as \u3e15% increased strength after 12 months. Results: Patient 1 stopped at month 5 because of 23% loss in TMS and 32.35% in GF; patient 2 showed 37.1% increase in TMS and 13% in GF by month 9; patient 3 exhibited 26.7% reduction in TMS and 10% in GF at month 33; patient 4 showed 6.5% reduction in TMS and 1.6% in GF after 15 months, denoting relative stability; and patient 5 showed 30.4% loss in TMS and 20.8% in GF after 18 months. In patients 2 and 4, in whom 3-year longitudinal data were available, no effect on disease progression was noted. Conclusions: In this long-term, open-label study, canakinumab showed small, but not clinically appreciable, stabilizing benefits in 2 of 5 patients with sIBM over 1 year, was ineffective in 2 others, and might have worsened one. No patient improved. Classification of evidence: This study provides Class IV evidence that canakinumab was ineffective for patients with sIBM

    Industrial experiences with resource management under software randomization in ARINC653 avionics environments

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    Injecting randomization in different layers of the computing platform has been shown beneficial for security, resilience to software bugs and timing analysis. In this paper, with focus on the latter, we show our experience regarding memory and timing resource management when software randomization techniques are applied to one of the most stringent industrial environments, ARINC653-based avionics. We describe the challenges in this task, we propose a set of solutions and present the results obtained for two commercial avionics applications, executed on COTS hardware and RTOS.The work leading to these results has been funded by the European Community’s Seventh Framework Programme (FP7/2007-2013) un- der the PROXIMA Project (grant agreement 611085). Moreover, it has been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence.Peer ReviewedPostprint (published version

    The construction of a Quality of Life Wellbeing Index for cancer patients in follow-up: the ONCORELIEF project

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    ONCORELIEF aims to improve post-treatment health status, wellbeing, and follow-up care of cancer patients in a patient-centric way: independent of the specific treatment and pathway points, but specific to each patient’s experience and needs, incorporating the patient’s illness experience and the psychosocial context

    3D multi-agent models for protein release from PLGA spherical particles with complex inner morphologies

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    In order to better understand and predict the release of proteins from bioerodible micro- or nanospheres, it is important to know the influences of different initial factors on the release mechanisms. Often though it is difficult to assess what exactly is at the origin of a certain dissolution profile. We propose here a new class of fine-grained multi-agent models built to incorporate increasing complexity, permitting the exploration of the role of different parameters, especially that of the internal morphology of the spheres, in the exhibited release profile. This approach, based on Monte-Carlo (MC) and Cellular Automata (CA) techniques, has permitted the testing of various assumptions and hypotheses about several experimental systems of nanospheres encapsulating proteins. Results have confirmed that this modelling approach has increased the resolution over the complexity involved, opening promising perspectives for future developments, especially complementing in vitro experimentation

    Incidence and prevalence of major central nervous system involvement in Systemic Lupus Erythematosus: A 3-year prospective study of 370 patients

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    Background: The incidence and prevalence of CNS involvement in SLE remains unclear owing to conflicting results in the published studies. The aim of the study was to evaluate the incidence and prevalence of major definite CNS events in SLE patients. Methods: 370 SLE patients with no previous history of CNS involvement were prospectively evaluated in a tertiary hospital referral center for 3 years. Major CNS manifestations were codified according to ACR definitions, including chorea, aseptic meningitis, psychosis, seizures, myelopathy, demyelinating syndrome, acute confusional state and strokes. Minor CNS events were excluded. ECLAM and SLEDAI-SELENA Modification scores were used to evaluate disease activity and SLICC/ACR Damage Index was used to assess accumulated damage. Results: 16/370 (4.3%) patients presented with a total of 23 major CNS events. These included seizures (35%), strokes (26%), myelopathy (22%), optic neuritis (8.7%), aseptic meningitis (4.3%) and acute psychosis (4.3%). Incidence was 7.8/100 person years. Among hospitalizations for SLE, 13% were due to CNS manifestations. Epileptic seizures were associated with high disease activity, while myelopathy correlated with lower disease activity and NMO-IgG antibodies (P#0.05). Stroke incidence correlated with APS coexistence (P = 0.06). Overall, CNS involvement correlated with high ECLAM and SLEDAI scores (P,0.001). Conclusions: Clinically severe CNS involvement is rare in SLE patients, accounting for 7.8/100 person years. CNS involvement correlates with high disease activity and coexistence of specific features that define the respective CNS syndromes

    Third CECOG consensus on the systemic treatment of non-small-cell lung cancer

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    The current third consensus on the systemic treatment of non-small-cell lung cancer (NSCLC) builds upon and updates similar publications on the subject by the Central European Cooperative Oncology Group (CECOG), which has published such consensus statements in the years 2002 and 2005 (Zielinski CC, Beinert T, Crawford J et al. Consensus on medical treatment of non-small-cell lung cancer—update 2004. Lung Cancer 2005; 50: 129-137). The principle of all CECOG consensus is such that evidence-based recommendations for state-of-the-art treatment are given upon which all participants and authors of the manuscript have to agree (Beslija S, Bonneterre J, Burstein HJ et al. Third consensus on medical treatment of metastatic breast cancer. Ann Oncol 2009; 20 (11): 1771-1785). This is of particular importance in diseases in which treatment options depend on very particular clinical and biologic variables (Zielinski CC, Beinert T, Crawford J et al. Consensus on medical treatment of non-small-cell lung cancer—update 2004. Lung Cancer 2005; 50: 129-137; Beslija S, Bonneterre J, Burstein HJ et al. Third consensus on medical treatment of metastatic breast cancer. Ann Oncol 2009; 20 (11): 1771-1785). Since the publication of the last CECOG consensus on the medical treatment of NSCLC, a series of diagnostic tools for the characterization of biomarkers for personalized therapy for NSCLC as well as therapeutic options including adjuvant treatment, targeted therapy, and maintenance treatment have emerged and strongly influenced the field. Thus, the present third consensus was generated that not only readdresses previous disease-related issues but also expands toward recent developments in the management of NSCLC. It is the aim of the present consensus to summarize minimal quality-oriented requirements for individual patients with NSCLC in its various stages based upon levels of evidence in the light of a rapidly expanding array of individual therapeutic option

    Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"

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    This report is a collection of comments on the Read Paper of Fearnhead and Prangle (2011), to appear in the Journal of the Royal Statistical Society Series B, along with a reply from the authors
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