44 research outputs found

    Évaluation des pratiques professionnelles sur la prescription de nutrition parentĂ©rale au Centre Hospitalier Universitaire de Rennes

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    National audienceObjectives In 2018, a formative assessment of practices in parenteral nutrition was performed in a French University Hospital.Materials and methods Forty-eight patients receiving parenteral nutrition were retrospectively studied. The list of data collected was developed from the survey proposed by the French speaking Society for Clinical Nutrition and Metabolism (SFNCM).Results The indication of the prescription of parenteral nutrition was justified in 75% of cases. A quarter of the prescriptions was in accordance with the recommended energy intakes (25–35 kcal/kg/day). A total of 72,9% of prescriptions of parenteral nutrition were supplemented with vitamins and trace elements. Body Mass Index was calculated for 77% of patients. The 1 month-ago weight was registered in 87,5% of patient records. Weight loss was only mentioned in 23% of cases. Clinical and biological monitoring was insufficient for all patients.Conclusion This analysis shows positive points in our practices but improvements are needed. We plan to improve our practice for 3 selected axes the prescription of vitamins and trace elements, a complete biological assessment before the start of parenteral nutrition and the systematic screening for malnutrition by recommended indicators weight, weight loss and Body Mass Index.Objectifs En 2018, une Ă©valuation des pratiques professionnelles en nutrition parentĂ©rale a Ă©tĂ© rĂ©alisĂ©e chez des patients adultes hospitalisĂ©s au Centre hospitalier universitaire de Rennes.Patients et mĂ©thodes Deux audits ont permis l’analyse rĂ©trospective de 48 dossiers patients sous nutrition parentĂ©rale. La liste des donnĂ©es Ă  recueillir a Ă©tĂ© Ă©laborĂ©e Ă  partir de la grille d’évaluation des pratiques professionnelles sur la nutrition parentĂ©rale de la SociĂ©tĂ© Francophone de Nutrition Clinique et MĂ©tabolisme (SFNCM).RĂ©sultats L’indication de la prescription Ă©tait justifiĂ©e dans 75 % des cas. Un quart des prescriptions coĂŻncidait avec les apports Ă©nergĂ©tiques recommandĂ©s de 25 Ă  35 kcal/kg/j. 72,9 % des prescriptions sont complĂ©mentĂ©es par des vitamines et oligoĂ©lĂ©ments. L’Indice de masse corporelle Ă©tait calculĂ© pour 77 % des patients. Le poids du mois prĂ©cĂ©dent Ă©tait inscrit Ă  87,5 % dans le dossier patient. Le calcul de la perte de poids n’était mentionnĂ© que dans 23 % des dossiers. La surveillance clinique et biologique Ă©tait incomplĂšte pour l’ensemble des patients.Conclusion Cette Ă©valuation des pratiques professionnelles met en Ă©vidence des points positifs dans nos pratiques mais Ă©galement de nombreux axes d’amĂ©lioration. Elle devra ĂȘtre suivie par la mise en place d’actions correctrices ciblant 3 axes d’amĂ©lioration retenus : La prescription de vitamines et d’oligoĂ©lĂ©ments, un bilan biologique complet avant l’instauration et pour la surveillance d’une nutrition parentĂ©rale et le recueil systĂ©matique des indicateurs nutritionnels pour l’évaluation de la dĂ©nutrition (ex-Indicateurs Pour l’AmĂ©lioration de la QualitĂ© et de la SĂ©curitĂ© des Soins [IPAQSS]) : poids, perte de poids et Indice de masse corporelle

    Analysis of the variability of grain protein content in wheat : Genotypic adaptation of the crop simulation model azodyn

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    *UMR d'Agronomie, BibliothĂšque, 78850 Thiverval-Grignon Diffusion du document : UMR d'Agronomie, BibliothĂšque, 78850 Thiverval-GrignonInternational audienc

    The Azodyn crop model as a decision support tool for choosing cultivars

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    International audienceWe evaluated the Azodyn wheat crop model as a cultivar decision support tool using a set of 14 genotypes, tested in 21 contrasting environments. The results showed that the Azodyn crop model satisfactorily simulated yield and grain protein content for a large range of genotypes and environments, as shown by a root mean square error of 1.4 Mg ha-1 and 1.7 g 100 g MS-1, respectively. The comparison between the observed and the simulated rankings of genotypes showed a ranking error of the model of one rank or less. The model was able to identify the best genotype to be used to obtain the highest yield in 20 cases out of 33 and the highest grain protein content in 48 cases out of 64. As a new way to evaluate crop models as a decision support tool for cultivar choice, we compared the Azodyn predictive accuracy against the cultivar yield and grain protein average generally used by cultivar growers as a predictive model. We showed that in the main production conditions, the Azodyn predictions fit the yield and grain protein content observed better than the average

    Dielectric breakdown in SiO2: A survey of test methods

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    This chapter updates Chapter 6 of Volume 1 and reviews the testing methods used for characterizing the breakdown of capacitors with special emphasis on MOS capacitors. The mechanism of breakdown is described by the “Qbd model” or “charge-to-breakdown model”, based on the continuous degradation and eventual breakdown caused by charge leaking through the capacitor. This is explained briefly and the degradation of the stressed capacitors is discussed in more detail. The main proof of the Qbd model is found by comparing the different testing methods and showing that all the statistical results merge into the same Qbd distribution law. Apparent differences in various test results are caused by obvious effects such as current confinement and local breakdown. The impact of this unifying model, the physical meaning of Qbd and ζbd and the correlation of the two are studied. Recent literature on other models is briefly discussed

    Nitrogen remobilization during grain filling in wheat : genotypic and environmental effects

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    International audienceIn wheat (Triticum aestivum L.), nitrogen remobilization from the vegetative organs of the crop to the grains has been shown to depend on environmental factors and genotype. We performed, for a set of 10 winter wheat genotypes, field experiments at six sites over a 2‐yr period. By measuring nitrogen uptake at flowering (NUF from 32–284 kg ha−1), the amount of remobilized nitrogen (REMN from 24–228 kg ha−1) and nitrogen remobilization efficiency (NRE from 0.44–0.92) we were able to determine the effect of genotype and environment on the relationship between REMN and NUF. Environment and genotype had significant effects on nitrogen remobilization and nitrogen remobilization efficiency, which mainly depended on treatment (nitrogen and fungicide) and site. For environments without limiting factor during the grain‐filling period, we found that REMN was not dependent on the genotype and could be estimated by a single two‐parameter linear relationship (REMN=4.13+NUF×0.76, r2=0.97). We analyzed the effect of drought stress before and after flowering, high temperature during these periods, nitrogen availability and disease pressure on REMN by comparing observed and estimated REMN. The effect of the environment on the relationship between nitrogen uptake at flowering and nitrogen remobilization depended on nitrogen uptake during grain‐filling period and disease pressure and was also affected by genotype. Disease‐resistant genotypes seemed to be able to keep remobilization efficiency stable in conditions of strong disease pressure, whereas nitrogen remobilization efficiency decreased strongly in susceptible genotypes under the same conditions
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