L'arrêt cardio-respiratoire (ACR) au cabinet médical est-il une réalité et y a-t-il nécessité de s'équiper d'un défribillateur semi-automatique (DSA)?

Introduction: Cette étude a pour but de déterminer la fréquence de survenue de l'arrêt cardio-respiratoire (ACR) au cabinet médical qui constitue un élément de décision quant à la justification de la présence d'un défibrillateur semi-automatique (DSA) au cabinet médical. Matériel et Méthode: Analyse rétrospective des fiches d'intervention pré-hospitalière des ambulances et des SMUR (Service Mobile d'Urgence et de Réanimation) du canton de Vaud (650'000 habitants) entre 2003 et 2006 qui relataient un ACR. Les variables suivantes ont été analysées: chronologie de l'intervention, mesures de réanimation cardio-pulmonaire (RCP) appliquées, diagnostic présumé, suivi à 48 heures. Résultats: 17 ACR (9 _, 8 _) ont eu lieu dans les 1655 cabinets médicaux du canton de Vaud en 4 ans sur un total de 1753 ACR extrahospitaliers, soit 1% de ces derniers. Tous ont motivés une intervention simultanée d'une ambulance et d'un SMUR. L'âge moyen était de 70 ans. Le délai entre l'ACR et l'arrivée sur site d'un DSA était en moyenne de plus de 10 minutes (min-max: 4-25 minutes). Dans 13 cas évaluables, une RCP était en cours à l'arrivée des renforts, mais seulement 7 étaient qualifiées d'efficaces. Le rythme initial était une fibrillation ventriculaire (FV) dans 8 cas et ont tous reçu un choc électrique externe (CEE), dont 1 avant l'arrivée des secours administré dans un cabinet équipé d'un DSA. Le diagnostic était disponible pour 9 cas: 6 cardiopathies, 1 embolie pulmonaire massive, 1 choc anaphylactique et 1 tentamen médicamenteux. Le devenir de ces patients a été marqué par 6 décès sur site, 4 décès à l'admission à l'hôpital et 7 vivants à 48 heures. Les données ne permettent pas d'avoir un suivi ni à la sortie de l'hôpital ni ultérieurement. Conclusions: Bien que la survenue d'un ACR soit très rare au cabinet médical, il mérite une anticipation particulière de la part du médecin. En effet, le délai d'arrivée des services d'urgences nécessite la mise en oeuvre immédiate de mesures par le médecin. En outre, comme professionnel de la santé, il se doit d'intégrer la chaîne de survie en procédant à une alarme précoce du 144 et initier des gestes de premier secours («Basic Life Support»). La présence d'un DSA pourrait être envisagée en fonction notamment de l'éloignement de secours professionnels équipés d'un DSA.

Validation and reproducibility of a semi-quantitative Food Frequency Questionnaire for use in elderly Swiss women.

OBJECTIVE: The principal aim of this study was to develop a Swiss Food Frequency Questionnaire (FFQ) for the elderly population for use in a study to investigate the influence of nutritional factors on bone health. The secondary aim was to assess its validity and both short-term and long-term reproducibility. DESIGN: A 4-day weighed record (4 d WR) was applied to 51 randomly selected women of a mean age of 80.3 years. Subsequently, a detailed FFQ was developed, cross-validated against a further 44 4-d WR, and the short- (1 month, n = 15) and long-term (12 months, n = 14) reproducibility examined. SETTING: French speaking part of Switzerland. SUBJECTS: The subjects were randomly selected women recruited from the Swiss Evaluation of the Methods of Measurement of Osteoporotic Fracture cohort study. RESULTS: Mean energy intakes by 4-d WR and FFQ showed no significant difference [1564.9 kcal (SD 351.1); 1641.3 kcal (SD 523.2) respectively]. Mean crude nutrient intakes were also similar (with nonsignifcant P-values examining the differences in intake) and ranged from 0.13 (potassium) to 0.48 (magnesium). Similar results were found in the reproducibility studies. CONCLUSION: These findings provide evidence that this FFQ adequately estimates nutrient intakes and can be used to rank individuals within distributions of intake in specific populations.

Evaluation of the GlideScope (R) for tracheal intubation in patients with cervical spine immobilization by a semi-rigid collar

Background: In patients with cervical spine injury, a cervical collar may prevent cervical spine movements but renders tracheal intubation with a standard laryngoscope difficult if not impossible. We hypothesized that despite the presence of a semi-rigid cervical collar and with the patient's head taped to the trolley, we would be able to intubate all patients with the GlideScopeR and its dedicated stylet. Methods: 50 adult patients (ASA 1 or 2, BMI ≤35 kg/m2) scheduled for elective surgical procedures requiring tracheal intubation were included. After standardized induction of general anesthesia and neuromuscular blockade, the neck was immobilized with an appropriately sized semi-rigid Philadelphia Patriot® cervical collar, the head was taped to the trolley. Laryngoscopy was attempted using a Macintosh laryngoscope blade 4 and the modified Cormack Lehane grade was noted. Subsequently, laryngoscopy with the GlideScopeR was graded and followed by oro-tracheal intubation. Results: All patients were successfully intubated with the GlideScopeR and its dedicated stylet. The median intubation time was 50 sec [43; 61]. The modified Cormack Lehane grade was 3 or 4 at direct laryngoscopy. It was significantly reduced with the GlideScopeR (p <0.0001), reaching 2a in most of patients. Maximal mouth opening was significantly reduced with the cervical collar applied, 4.5 cm [4.5; 5.0] vs. 2.0 cm [1.8; 2.0] (p <0.0001). Conclusions: The GlideScope® allows oro-tracheal intubation in patients having their cervical spine immobilized by a semi-rigid collar and their head taped to the trolley. It furthermore decreases significantly the modified Cormack Lehane grade.

Equine herpesvirus-2 E10 gene product, but not its cellular homologue, activates NF-kappaB transcription factor and c-Jun N-terminal kinase.

We have previously reported on the death effector domain containing E8 gene product from equine herpesvirus-2, designated FLICE inhibitory protein (v-FLIP), and on its cellular homologue, c-FLIP, which inhibit the activation of caspase-8 by death receptors. Here we report on the structure and function of the E10 gene product of equine herpesvirus-2, designated v-CARMEN, and on its cellular homologue, c-CARMEN, which contain a caspase-recruiting domain (CARD) motif. c-CARMEN is highly homologous to the viral protein in its N-terminal CARD motif but differs in its C-terminal extension. v-CARMEN and c-CARMEN interact directly in a CARD-dependent manner yet reveal different binding specificities toward members of the tumor necrosis factor receptor-associated factor (TRAF) family. v-CARMEN binds to TRAF6 and weakly to TRAF3 and, upon overexpression, potently induces the c-Jun N-terminal kinase (JNK), p38, and nuclear factor (NF)-kappaB transcriptional pathways. c-CARMEN or truncated versions thereof do not appear to induce JNK and NF-kappaB activation by themselves, nor do they affect the JNK and NF-kappaB activating potential of v-CARMEN. Thus, in contrast to the cellular homologue, v-CARMEN may have additional properties in its unique C terminus that allow for an autonomous activator effect on NF-kappaB and JNK. Through activation of NF-kappaB, v-CARMEN may regulate the expression of the cellular and viral genes important for viral replication.

Uncertainty Quantification Of A Semi-Supervised Support Vector Regression Reservoir Model

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. Recent advances in machine learning offer a novel approach to model spatial distribution of petrophysical properties in complex reservoirs alternative to geostatistics. The approach is based of semisupervised learning, which handles both ?labelled? observed data and ?unlabelled? data, which have no measured value but describe prior knowledge and other relevant data in forms of manifolds in the input space where the modelled property is continuous. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic geological features and describe stochastic variability and non-uniqueness of spatial properties. On the other hand, it is able to capture and preserve key spatial dependencies such as connectivity of high permeability geo-bodies, which is often difficult in contemporary petroleum reservoir studies. Semi-supervised SVR as a data driven algorithm is designed to integrate various kind of conditioning information and learn dependences from it. The semi-supervised SVR model is able to balance signal/noise levels and control the prior belief in available data. In this work, stochastic semi-supervised SVR geomodel is integrated into Bayesian framework to quantify uncertainty of reservoir production with multiple models fitted to past dynamic observations (production history). Multiple history matched models are obtained using stochastic sampling and/or MCMC-based inference algorithms, which evaluate posterior probability distribution. Uncertainty of the model is described by posterior probability of the model parameters that represent key geological properties: spatial correlation size, continuity strength, smoothness/variability of spatial property distribution. The developed approach is illustrated with a fluvial reservoir case. The resulting probabilistic production forecasts are described by uncertainty envelopes. The paper compares the performance of the models with different combinations of unknown parameters and discusses sensitivity issues.

Breeding system and genetic variance in the monogamous, semi-social shrew, Crocidura russula

The population-genetic consequences of monogamy and male philopatry (a rare breeding system in mammals) were investigated using microsatellite markers in the semisocial and anthropophilic shrew Crocidura russula. A hierarchical sampling design over a 16-km geographical transect revealed a large genetic diversity (h = 0.813) with significant differentiation among subpopulations (F-ST = 5-6%), which suggests an exchange of 4.4 migrants per generation. Demic effective-size estimates were very high, due both to this limited gene inflow and to the inner structure of subpopulations. These were made of 13-20 smaller units (breeding groups), comprising an estimate of four breeding pairs each. Members of the same breeding groups displayed significant coancestries (F-LS = 9-10%), which was essentially due to strong male kinship: syntopic males were on average related at the half-sib level. Female dispersal among breeding groups was not complete (similar to 39%), and insufficient to prevent inbreeding. From our results, the breeding strategy of C. russula seems less efficient than classical mammalian systems (polygyny and male dispersal) in disentangling coancestry from inbreeding, but more so in retaining genetic variance.

Fick's law adapted to cationic diffusion in a semi-infinite solid: application to spinel megacrystals

In alkaline lavas, the chemical zoning of megacrystals of spinel is due to the cationic exchange between the latter and the host lava. The application of Fick's law to cationic diffusion profiles allows to calculate the time these crystals have stayed in the lava. Those which are in a chemical equilibrium were in contact with the lava during 20 to 30 days, whereas megacrystals lacking this equilibrium were in contact only for 3 or 4 days. The duration of the rise of an ultrabasic nodule in the volcanic chimney was calculated by applying Stokes' law.

Diet and breeding success of long-eared owls in a semi-arid environment

Only a few studies, and mostly in temperate climates in Europe, have examined the breeding and diet of long-eared owls (Asia otus) compared to studies of cavity-breeding owls, possibly because of the difficulties in reaching the nests of the former. Here we studied a population of long-eared owls, monitoring the diet of breeding owls and that of owls at a communal roost, every two to three months during 2006 -2009, in a semi-arid region in Israel. It was found that the studied owls produced more young than in most countries in Europe. Diet was not associated with breeding parameters of the owls, whereas laying date was negatively correlated with both clutch size and number of nestlings. We found that more social voles (Microtus socialis) and fewer birds and house mice (Mus musculus) made up the diet at nests than that of adults at the roosts. The diet and breeding of long-eared owls in Israel differ from that in Europe, with birds and mice comprising an important part of the diet, in addition to voles.

Growth Arrest-Specific Gene 6 product modulates innate immunity in sepsis

Background: Growth Arrest-Specific Gene 6 product (Gas6) is, like anticoagulant protein C, a vitamin K-dependent protein. Our aim was to determine whether Gas6 plays a role in sepsis. Materials and methods: We submitted mice lacking Gas6 (Gas6)/)) or one of its receptors (Axl)/), Tyro3)/) or Mertk)/)) to LPS-induced endotoxemia and peritonitis (cecal ligation and puncture (CLP) and inoculation of E. coli). In addition, we measured Gas6 or its soluble receptors in plasma of eight volunteers that received LPS, 13 healthy subjects, 28 patients with severe sepsis, and 18 patients with non-infectious inflammatory diseases. Results: Gas6 and its soluble receptor sAxl raised in mice models and TNF-a was more elevated in Gas6)/) mice than in wild-type (WT). Protein array showed that before and after LPS injection, titers of 62 cytokines were more elevated in plasma of Gas6)/) than WT mice. Endotoxemia-induced mortality was higher in Gas6)/), Axl)/), Tyro3)/) and Mertk)/) compared to WT mice and mortality subsequent to CLP was amplified in Gas6)/) mice. LPS-stimulated Gas6)/) macrophages produced more cytokines than WT macrophages. This production was dampened by recombinant Gas6. Phosphorylation of Akt in Gas6)/) macrophages was reduced, but p38 phosphorylation and NF-jB translocation were increased. In human, Gas6 raised in plasma after LPS (2 ng/kg). Gas6 and sAxl were higher in patients with severe sepsis than in healthy subjects or control patients, and there was a non-significant trend for higher Gas6 in the survival group. Conclusions: Our data point to Gas6 as a major modulator of innate immunity and provide thereby novel insights into the mechanism of sepsis. Thus Gas6 and its receptors might constitute potential therapeutic targets for the development of new immunomodulating drugs.

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Segmenting ultrasound images is a challenging problemwhere standard unsupervised segmentation methods such asthe well-known Chan-Vese method fail. We propose in thispaper an efficient segmentation method for this class ofimages. Our proposed algorithm is based on asemi-supervised approach (user labels) and the use ofimage patches as data features. We also consider thePearson distance between patches, which has been shown tobe robust w.r.t speckle noise present in ultrasoundimages. Our results on phantom and clinical data show avery high similarity agreement with the ground truthprovided by a medical expert.

Semi-supervised remote sensing image classification with cluster kernels

A semisupervised support vector machine is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictions.

Geomodelling of a fluvial system with semi-supervised support vector regression

Fluvial deposits are a challenge for modelling flow in sub-surface reservoirs. Connectivity and continuity of permeable bodies have a major impact on fluid flow in porous media. Contemporary object-based and multipoint statistics methods face a problem of robust representation of connected structures. An alternative approach to model petrophysical properties is based on machine learning algorithm ? Support Vector Regression (SVR). Semi-supervised SVR is able to establish spatial connectivity taking into account the prior knowledge on natural similarities. SVR as a learning algorithm is robust to noise and captures dependencies from all available data. Semi-supervised SVR applied to a synthetic fluvial reservoir demonstrated robust results, which are well matched to the flow performance