Plannification hospitalière: Quel scénario démographique pour prédire les besoins en soins hospitaliers?

Contexte: L'évolution démographique est un facteur essentiel pour la planification hospitalière. Le scenario démographique moyen de l'OFS ne répond que partiellement aux exigences de la planification pour le canton du Valais ; il ne permet pas de faire des projections par région hospitalière. De plus, la croissance en 2010 et 2011 selon le scenario OFS est inferieure a celle observée. Nous avons développe un scenario ajuste en tenant compte de l'évolution récente de la population valaisanne, et ce par région hospitalière. Méthode: La population de départ et les taux d'accroissement du au solde naturel et migratoire 2012 ont été déterminés à partir des données réelles 2011. Entre 2002 et 2011, le taux d'accroissement migratoire a fortement varie. Les taux 2011 ont donc été ajustés en fonction des taux moyens d'accroissement migratoire 2002-2011 calcules pour chaque région hospitalière. Pour les années 2013-2025, les écarts de taux d'accroissement naturel et migratoire du scenario OFS ont été repris tel quel. Résultats: Entre 2000 et 2010, la population valaisanne est passée de 276'170 a 312'684 habitants (+13.2%). Entre 2012 et 2025, les deux scenarios prévoient une poursuite de la croissance de la population, mais de manière moins soutenue, particulièrement selon le scenario OFS. Ainsi, en 2020, la population devrait atteindre 348'783 habitants (+11.5%) selon le scenario ajuste et 330'616 (+5.7%) selon le scenario OFS. La part de la population âgée de 65 ans et plus passera de 17.1% en 2010 a 20.5% en 2020 selon le scenario ajuste et a 21.4% selon le scenario OFS. Conclusion: Au vu des limites du scenario moyen de l'OFS, il est pertinent de développer des alternatives tenant compte au mieux des spécificités démographiques cantonales. Le scenario ajuste prédit une croissance plus forte de la population, ce qui a un impact important sur les besoins en soins hospitaliers et la planification hospitalière.

Trace element distribution among rock-forming minerals from metamorphosed to partially molten basic igneous rocks in a contact aureole (Fuerteventura, Canaries)

Low pressure partial melting of basanitic and ankaramitic dykes gave rise to unusual, zebra-like migmatites, in the contact aureole of a layered pyroxenite-gabbro intrusion, in the root zone of an ocean island (Basal Complex, Fuerteventura, Canary Islands). These migmatites are characterised by a dense network of closely spaced, millimetre-wide leucocratic segregations. Their mineralogy consists of plagioclase (An(32-36)), diopside, biotite, oxides (magnetite, ilmenite), +/-amphibole, dominated by plagioclase in the leucosome and diopside in the melanosome. The melanosome is almost completely recrystallised, with the preservation of large, relict igneous diopside phenocrysts in dyke centres. Comparison of whole-rock and mineral major- and trace-element data allowed us to assess the redistribution of elements between different mineral phases and generations during contact metamorphism and partial melting. Dykes within and outside the thermal aureole behaved like closed chemical systems. Nevertheless, Zr, Hf, Y and REEs were internally redistributed, as deduced by comparing the trace element contents of the various diopside generations. Neocrystallised diopside - in the melanosome, leucosome and as epitaxial phenocryst rims - from the migmatite zone, are all enriched in Zr, Hf, Y and REEs compared to relict phenocrysts. This has been assigned to the liberation of trace elements on the breakdown of enriched primary minerals, kaersutite and sphene, on entering the thermal aureole. Major and trace element compositions of minerals in migmatite melanosomes and leucosomes are almost identical, pointing to a syn- or post-solidus reequilibration on the cooling of the migmatite terrain i.e. mineral-melt equilibria were reset to mineral-mineral equilibria. (C) 2007 Elsevier B.V. All rights reserved.

COMPASS identifies T-cell subsets correlated with clinical outcomes.

Advances in flow cytometry and other single-cell technologies have enabled high-dimensional, high-throughput measurements of individual cells as well as the interrogation of cell population heterogeneity. However, in many instances, computational tools to analyze the wealth of data generated by these technologies are lacking. Here, we present a computational framework for unbiased combinatorial polyfunctionality analysis of antigen-specific T-cell subsets (COMPASS). COMPASS uses a Bayesian hierarchical framework to model all observed cell subsets and select those most likely to have antigen-specific responses. Cell-subset responses are quantified by posterior probabilities, and human subject-level responses are quantified by two summary statistics that describe the quality of an individual's polyfunctional response and can be correlated directly with clinical outcome. Using three clinical data sets of cytokine production, we demonstrate how COMPASS improves characterization of antigen-specific T cells and reveals cellular 'correlates of protection/immunity' in the RV144 HIV vaccine efficacy trial that are missed by other methods. COMPASS is available as open-source software.

Strong decline in the consumption of invertebrates by barn owls from 1860 to 2012 in Europe

Capsule The analysis of 616 papers about the diet of the European Barn Owl Tyto alba showed that 9678 invertebrates were captured out of 3.13 million prey items (0.31%). The consumption of invertebrates strongly decreased between 1860 and 2012. This further demonstrates that the Barn Owl diet changed to a large extent during the last 150 years.