Impact de l’évolution du statut nutritionnel durant l’attente d’une transplantation pulmonaire sur la mortalité postopératoire

Cette étude vise à évaluer l’impact de l’état nutritionnel et de son évolution durant l’attente d’une transplantation pulmonaire sur la mortalité et la morbidité postopératoire. Nous avons examiné les 209 dossiers de patients greffés pulmonaires au Programme de Transplantation Pulmonaire du CHUM entre 2000 et 2007 et regardé la mortalité et les complications post-transplantation en fonction de l’IMC, des apports protéino-énergétiques, de certains paramètres biochimiques et selon l’évolution pondérale durant la période d’attente. Les résultats montrent que la mortalité augmente en fonction de l’augmentation des strates d’IMC avec un risque relatif de décès au cours du séjour hospitalier de 3,31 (IC95% 1,19-9,26) pour un IMC 25-29,9 et de 8,83 (IC95% 2,98-26,18) pour un IMC ≥ 30 avec une issue postopératoire plus sombre en terme de complications chirurgicales (p=0,003), de durée de séjour aux soins intensifs (p=0,031) et de durée de séjour à l’hôpital (p<0,001) chez les patients avec IMC ≥ 30 comparativement aux patients de poids normal. Les patients ayant présenté une évolution inadéquate de l’IMC durant la période d’attente ont connu une durée de séjour hospitalier prolongée (p=0,015). Ceux dont les apports nutritionnels étaient sous-optimaux en pré-greffe ont aussi connu une durée de séjour hospitalier prolongée (p=0,002) et davantage de complications infectieuses (p=0,038), digestives (p=0,003) et chirurgicales (p=0,029) mais sans impact détectable sur la mortalité. Nos résultats suggèrent que l’obésité et l’embonpoint ainsi qu’une évolution inadéquate de l’IMC durant la période d’attente de même que des apports protéino-énergétiques sous-optimaux affectent négativement l’issue d’une transplantation pulmonaire.

Évaluation de la valeur pronostique de la lactatémie lors de dilatation à droite de la caillette ou de volvulus abomasal chez la vache laitière

Dans les élevages laitiers d’aujourd’hui, les déplacements de la caillette sont parmi les conditions chirurgicales les plus souvent rencontrées. Le pronostic pour ces pathologies est cependant très différent que l’on soit en présence d’une dilatation de la caillette à droite (DCD) ou d’un volvulus de la caillette (VC). En pratique, la distinction en période préopératoire entre ces deux conditions est difficile. Afin de limiter les pertes économiques associées aux DCD/VC, l’identification et la réforme précoce des animaux ayant le plus grand risque d’avoir une mauvaise évolution postopératoire deviennent des enjeux de premier plan. Les objectifs de cette étude étaient de déterminer la valeur pronostique de la L-lactatémie (LAC) mesurée à la ferme en préopératoire à l’aide d’un appareil portatif chez des vaches souffrant de DCD ou VC et de suggérer des seuils de LAC cliniquement significatifs. Nos résultats indiquent que la LAC est un bon indicateur pronostique lors de DCD/VC. Une LAC ≤ 2 mmol/L est un bon indicateur de succès chirurgical et s’avère très utile pour appuyer la décision d’opérer l’animal (sensibilité, spécificité, valeurs prédictives positive et négative de respectivement 76.2, 82.7, 53.3 et 93.1%). Par ailleurs, il n’y a aucun avantage économique à effectuer une chirurgie chez des vaches commerciales souffrant de DCD/VC qui ont une LAC ≥ 6 mmol/L (sensibilité, spécificité, valeurs prédictives positive et négative de respectivement 28.6, 97.5, 75 et 84%). Par conséquent, ces animaux devraient, dans la plupart des cas, être réformés en raison de la probabilité élevée qu’ils aient une mauvaise évolution postopératoire.

Segurança no circo : questão de prioridade = Circus safety: a priority issue

Universidade Estadual de Campinas . Faculdade de Educação Física

Nutrition and health: the issue is not food, nor nutrients, so much as processing [Invited commentary]

Orthodox teaching and practice on nutrition and health almost always focuses on nutrients, or else on foods and drinks. Thus, diets that are high in folate and in green leafy vegetables are recommended, whereas diets high in saturated fat and in full-fat milk and other dairy products are not recommended. Food guides such as the US Food Guide Pyramid are designed to encourage consumption of healthier foods, by which is usually meant those higher in vitamins, minerals and other nutrients seen as desirable.What is generally overlooked in such approaches, which currently dominate official and other authoritative information and education programmes, and also food and nutrition public health policies, is food processing. It is now generally acknowledged that the current pandemic of obesity and related chronic diseases has as one of its important causes increased consumption of convenience including pre-prepared foods(1,2). However, the issue of food processing is largely ignored or minimised in education and information about food, nutrition and health, and also in public health policies.A short commentary cannot be comprehensive, and a general proposal such as that made here is bound to have some problems and exceptions. Also, the social, cultural, economic and environmental consequences of food processing are not discussed here. Readers comments and queries are invited

State-of-the-Art and Future Directions for Green Human Resource Management: Introduction to the Special Issue

The topic of environmental sustainability is generating increased concern among business executives, governments, consumers, and management scholars. As these stakeholders struggle with the challenges and opportunities presented by an array of environmental issues, HRM scholars and practitioners alike have been relatively slow to engage in the ongoing discussions and debates. Through this special issue on Green FIRM, we seek to stimulate the field of HRM to expand its role in the pursuit of environmentally sustainable business. In this introduction to the special issue, we first provide an overview of the articles that appear in the special issue. Next we present a detailed discussion of research questions that arise from a consideration of several functional HRM practices, including performance management; training, development, and learning; compensation and rewards; and organizational culture. We conclude by describing opportunities for research at the intersection of strategic HRM and environmental management. If pursued with vigor, research addressing this extensive agenda could begin to establish a healthy field of Green FIRM scholarship.

Special issue on advances in data mining and its applications

Data mining is the process to identify valid, implicit, previously unknown, potentially useful and understandable information from large databases. It is an important step in the process of knowledge discovery in databases, (Olaru & Wehenkel, 1999). In a data mining process, input data can be structured, seme-structured, or unstructured. Data can be in text, categorical or numerical values. One of the important characteristics of data mining is its ability to deal data with large volume, distributed, time variant, noisy, and high dimensionality. A large number of data mining algorithms have been developed for different applications. For example, association rules mining can be useful for market basket problems, clustering algorithms can be used to discover trends in unsupervised learning problems, classification algorithms can be applied in decision-making problems, and sequential and time series mining algorithms can be used in predicting events, fault detection, and other supervised learning problems (Vapnik, 1999). Classification is among the most important tasks in the data mining, particularly for data mining applications into engineering fields. Together with regression, classification is mainly for predictive modelling. So far, there have been a number of classification algorithms in practice. According to (Sebastiani, 2002), the main classification algorithms can be categorized as: decision tree and rule based approach such as C4.5 (Quinlan, 1996); probability methods such as Bayesian classifier (Lewis, 1998); on-line methods such as Winnow (Littlestone, 1988) and CVFDT (Hulten 2001), neural networks methods (Rumelhart, Hinton & Wiliams, 1986); example-based methods such as k-nearest neighbors (Duda & Hart, 1973), and SVM (Cortes & Vapnik, 1995). Other important techniques for classification tasks include Associative Classification (Liu et al, 1998) and Ensemble Classification (Tumer, 1996).

Numerical modelling of single-layer folding: clarification of an issue regarding the possible effect of computer codes and the influence of initial irregularities

The influence of initial perturbation geometry and material propel-ties on final fold geometry has been investigated using finite-difference (FLAC) and finite-element (MARC) numerical models. Previous studies using these two different codes reported very different folding behaviour although the material properties, boundary conditions and initial perturbation geometries were similar. The current results establish that the discrepancy was not due to the different computer codes but due to the different strain rates employed in the two previous studies (i.e. 10(-6) s(-1) in the FLAC models and 10(-14) s(-1) in the MARC models). As a result, different parts of the elasto-viscous rheological field were bring investigated. For the same material properties, strain rate and boundary conditions, the present results using the two different codes are consistent. A transition in Folding behaviour, from a situation where the geometry of initial perturbation determines final fold shape to a situation where material properties control the final geometry, is produced using both models. This transition takes place with increasing strain rate, decreasing elastic moduli or increasing viscosity (reflecting in each case the increasing influence of the elastic component in the Maxwell elastoviscous rheology). The transition described here is mechanically feasible but is associated with very high stresses in the competent layer (on the order of GPa), which is improbable under natural conditions. (C) 2000 Elsevier Science Ltd. All rights reserved.

Preface - Special issue on environmental toxicology of metals and metalloids

Following the Ninth International Congress of Toxicology (ICT-IX) and its satellite meeting ‘The International Conference on the Environmental Toxicology of Metals and Metalloids’ held in 2001 in Australia, a special issue on Arsenic was published in July 2002 (Toxicology Letters, 133(1), 1–120, 2002). We felt that it was timely to follow up with a special issue covering a wider range of metals and metalloids. Participants from the above conferences were invited to contribute to this special issue on ‘Environmental Toxicology of Metals and Metalloids’. This special issue consists of 11 manuscripts, representing up to date studies on a number of important harmful elements including aluminium, arsenic, cadmium, selenium, tin (tributyltin) and zinc. It illustrates the multidisciplinary nature of modern research in environmental toxicology involving chemical, biological and molecular technological approaches. It has been our great pleasure to produce this special issue. We would like to thank the authors for their contributions. We greatly appreciate the guidance and assistance provided by Dr J.P. Kehrer (Managing Editor), Dr Lulu Stader (Senior Publishing Editor) and their colleagues at Elsevier Science.

Special issue: Selected papers from the sixth IFIP 2.6 working conference on visual database systems: Guest editors' introduction

While multimedia data, image data in particular, is an integral part of most websites and web documents, our quest for information so far is still restricted to text based search. To explore the World Wide Web more effectively, especially its rich repository of truly multimedia information, we are facing a number of challenging problems. Firstly, we face the ambiguous and highly subjective nature of defining image semantics and similarity. Secondly, multimedia data could come from highly diversified sources, as a result of automatic image capturing and generation processes. Finally, multimedia information exists in decentralised sources over the Web, making it difficult to use conventional content-based image retrieval (CBIR) techniques for effective and efficient search. In this special issue, we present a collection of five papers on visual and multimedia information management and retrieval topics, addressing some aspects of these challenges. These papers have been selected from the conference proceedings (Kluwer Academic Publishers, ISBN: 1-4020- 7060-8) of the Sixth IFIP 2.6 Working Conference on Visual Database Systems (VDB6), held in Brisbane, Australia, on 29–31 May 2002.