Variation de la mortalité périnatale selon l'heure de naissance en Suisse. [Variations in perinatal mortality according to the hour of birth in Switzerland].

In Switzerland like in most developed countries, the number of births is strongly related to the hour of the day and the day of the week: this pattern is very probably related to the current practice in obstetrics. Less expected is the fact that the perinatal mortality shows a striking circadian rhythm according to the hour of birth. The paper presents this pattern and comments some related issues.

Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations

Background: Recent advances on high-throughput technologies have produced a vast amount of protein sequences, while the number of high-resolution structures has seen a limited increase. This has impelled the production of many strategies to built protein structures from its sequence, generating a considerable amount of alternative models. The selection of the closest model to the native conformation has thus become crucial for structure prediction. Several methods have been developed to score protein models by energies, knowledge-based potentials and combination of both.Results: Here, we present and demonstrate a theory to split the knowledge-based potentials in scoring terms biologically meaningful and to combine them in new scores to predict near-native structures. Our strategy allows circumventing the problem of defining the reference state. In this approach we give the proof for a simple and linear application that can be further improved by optimizing the combination of Zscores. Using the simplest composite score () we obtained predictions similar to state-of-the-art methods. Besides, our approach has the advantage of identifying the most relevant terms involved in the stability of the protein structure. Finally, we also use the composite Zscores to assess the conformation of models and to detect local errors.Conclusion: We have introduced a method to split knowledge-based potentials and to solve the problem of defining a reference state. The new scores have detected near-native structures as accurately as state-of-art methods and have been successful to identify wrongly modeled regions of many near-native conformations.

Prediction of enzyme function by combining sequence similarity and protein interactions

Background: A number of studies have used protein interaction data alone for protein function prediction. Here, we introduce a computational approach for annotation of enzymes, based on the observation that similar protein sequences are more likely to perform the same function if they share similar interacting partners. Results: The method has been tested against the PSI-BLAST program using a set of 3,890 protein sequences from which interaction data was available. For protein sequences that align with at least 40% sequence identity to a known enzyme, the specificity of our method in predicting the first three EC digits increased from 80% to 90% at 80% coverage when compared to PSI-BLAST. Conclusion: Our method can also be used in proteins for which homologous sequences with known interacting partners can be detected. Thus, our method could increase 10% the specificity of genome-wide enzyme predictions based on sequence matching by PSI-BLAST alone.

Outage probability analysis for MRC in η-μ fading channels with co-channel interference

Exact closed-form expressions are obtained for the outage probability of maximal ratio combining in η-μ fadingchannels with antenna correlation and co-channel interference. The scenario considered in this work assumes the joint presence of background white Gaussian noise and independent Rayleigh-faded interferers with arbitrary powers. Outage probability results are obtained through an appropriate generalization of the moment-generating function of theη-μ fading distribution, for which new closed-form expressions are provided.

Growth arrest-specific gene 6 (GAS6) as an intra-hospital mortality predictor for patients in septic shock

Aim: Gas6 is known to be elevated in sepsis, correlating with the severity of infection and organ failure. We aimed to investigate the performance of Gas6 plasma levels at admission to predict the risk of mortality in a cohort of septic patients.Methods: We used prospectively collected data and plasma samples from the 'Sepsis Cohorte Romande'. Gas6 level was measured by ELISA at admission and expressed in percentage relative to its level in a pool of normal plasma.Results: Non-survivors (n = 19) presented higher Gas6 levels than survivors (n = 78; median 287% vs. 158%, IQR 182 and 119 respectively; P = 0.0003). Gas6 correlated positively with different cytokine and was the best mortality predictor, as shown by the ROC curves area (Fig. 1). In patients with septic shock (n = 67), using 249% as a cut-off value, Gas6 measurement had a specificity of 81% and a sensitivity of 68% for predicting mortality. ROC curve area was 0.76. Positive and negative predictive values were 59% and 87%, respectively.Conclusion: Thus, Gas6 plasma level at admission might be a useful tool to predict mortality in patients with septic shock. Nevertheless, independent association of Gas6 level with mortality still needs to be assessed. Although Gas6 hold promise as an early sepsis marker, its precise implication in sepsis remains to be elucidated.

Personalized modeling for drug concentration prediction using Support Vector Machine

Building a personalized model to describe the drug concentration inside the human body for each patient is highly important to the clinical practice and demanding to the modeling tools. Instead of using traditional explicit methods, in this paper we propose a machine learning approach to describe the relation between the drug concentration and patients' features. Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. We focus mainly on the prediction of the drug concentrations as well as the analysis of different features' influence. Models are built based on Support Vector Machine and the prediction results are compared with the traditional analytical models.

Intrauterine growth restriction and absent or reverse end-diastolic blood flow in umbilical artery (Doppler class II or III): A retrospective study of short- and long-term fetal morbidity and mortality.

OBJECTIVE: Absent or reverse end-diastolic flow (Doppler II/III) in umbilical artery is correlated with poor perinatal outcome, particularly in intrauterine growth restricted (IUGR) fetuses. The optimal timing of delivery is still controversial. We studied the short- and long-term morbidity and mortality among these children associated with our defined management. STUDY DESIGN: Sixty-nine IUGR fetuses with umbilical Doppler II/III were divided into three groups; Group 1, severe early IUGR, no therapeutic intervention (n = 7); Group 2, fetuses with pathological biophysical profile, immediate delivery (n = 35); Group 3, fetuses for which expectant management had been decided (n = 27). RESULTS: In Group 1, stillbirth was observed after a mean delay of 6.3 days. Group 2 delivered at an average of 31.6 weeks and two died in the neonatal period (6%). In Group 3 after a mean delay of 8 days, average gestational age at delivery was 31.7 weeks; two intra uterine and four perinatal deaths were observed (22%). Long-term follow-up revealed no sequelae in 25/31 (81%) and 15/18 (83%), and major handicap occurred in 1 (3%) and 2 patients (11%), respectively, for Groups 2 and 3. CONCLUSION: Fetal mortality was observed in 22% of this high risk group. After a mean period of follow-up of 5 years, 82% of infants showed no sequelae. According to our management, IUGR associated with umbilical Doppler II or III does not show any benefit from an expectant management in term of long-term morbidity.

Childhood cancer mortality in Europe, 1970-2007.

To update trends in childhood cancer mortality in Europe, we analysed mortality data derived from the World Health Organization for all childhood neoplasms, bone and kidney cancers, non-Hodgkin's lymphomas (NHL) and leukaemias, in 30 European countries up to 2007. Between 1990-1994 and 2005-2007, mortality from all neoplasms steadily declined in most European countries (from 5.2 to 3.5/100,000 boys and from 4.3 to 2.8/100,000 girls in the European Union, EU). In 2005-2007, however, mortality rates from childhood cancers were still higher in countries from Eastern (4.9/100,000 boys and 3.9/100,000 girls) and Southern (4.0/100,000 boys and 3.1/100,000 girls) Europe than in those from Western (3.1/100,000 boys and 2.5/100,000 girls) and Northern (3.2/100,000 boys and 2.5/100,000 girls) Europe. Similar temporal trends and geographic patterns were observed for leukaemias, with declines from 1.7 to 0.9/100,000 boys and from 1.3 to 0.7/100,000 girls between 1990-1994 and 2005-2007 in the EU. For kidney cancer and NHL mortality rates were low and have been declining in larger European countries over the last 15years. The pattern of trends was less clear for bone cancer, with no systematic downward trends at age 0-14, though some fall was evident at age 15-19. Thus, mortality from childhood cancer continued to decline over more recent years in most European countries. However, the mortality rates in Eastern - but also Southern - European countries in the mid 2000's were similar to those in the Western and Northern European ones in the early 1990's. Some further improvement in childhood cancer mortality is therefore achievable through more widespread and better adoption of currently available treatments.

Continuing declines in cancer mortality in the European Union

BACKGROUND: From 1988 to 1997 age-standardised total cancer mortality rates in the European Union (EU) fell by around 9% in both sexes. Available cancer mortality data in Europe up to 2002 allow a first check of the forecast of further declines in cancer mortality. PATIENTS AND METHODS: We considered trends in age-standardised mortality from major cancer sites in the EU during the period 1980-2002. RESULTS: For men, total cancer mortality, after a peak of 191.1/100,000 in 1987 declined to 177.8 in 1997 (-7%), and to 166.5 in 2002. Corresponding figures for females were 107.9/100,000, 100.5 and 95.2, corresponding to falls of 7% from 1987 to 1997, and to 5% from 1997 to 2002. Over the last 5 years, lung cancer declined by 1.9% per year in men, to reach 44.4/100,000, but increased by 1.7% in women, to reach 11.4. In 2002, for the first year, lung cancer mortality in women was higher than that for intestinal cancer (11.1/100,000), and lung cancer became the second site of cancer deaths in women after breast (17.9/100,000). From 1997 to 2002, appreciable declines were observed in mortality from intestinal cancer in men (-1.6% per year, to reach 18.8/100,000), and in women (-2.5%), as well as for breast (-1.7% per year) and prostate cancer (-1.4%). CONCLUSIONS: Despite the persisting rises in female lung cancer, the recent trends in cancer mortality in the EU are encouraging and indicate that an 11% reduction in total cancer mortality from 2000 to 2015 is realistic and possible.

Prediction of infant drug exposure through breastfeeding: population PK modeling and simulation of fluoxetine

BACKGROUND: Risks of significant infant drug exposurethrough breastmilk are poorly defined for many drugs, and largescalepopulation data are lacking. We used population pharmacokinetics(PK) modeling to predict fluoxetine exposure levels ofinfants via mother's milk in a simulated population of 1000 motherinfantpairs.METHODS: Using our original data on fluoxetine PK of 25breastfeeding women, a population PK model was developed withNONMEM and parameters, including milk concentrations, wereestimated. An exponential distribution model was used to account forindividual variation. Simulation random and distribution-constrainedassignment of doses, dosing time, feeding intervals and milk volumewas conducted to generate 1000 mother-infant pairs with characteristicssuch as the steady-state serum concentrations (Css) and infantdose relative to the maternal weight-adjusted dose (relative infantdose: RID). Full bioavailability and a conservative point estimate of1-month-old infant CYP2D6 activity to be 20% of the adult value(adjusted by weigth) according to a recent study, were assumed forinfant Css calculations.RESULTS: A linear 2-compartment model was selected as thebest model. Derived parameters, including milk-to-plasma ratios(mean: 0.66; SD: 0.34; range, 0 - 1.1) were consistent with the valuesreported in the literature. The estimated RID was below 10% in >95%of infants. The model predicted median infant-mother Css ratio was0.096 (range 0.035 - 0.25); literature reported mean was 0.07 (range0-0.59). Moreover, the predicted incidence of infant-mother Css ratioof >0.2 was less than 1%.CONCLUSION: Our in silico model prediction is consistent withclinical observations, suggesting that substantial systemic fluoxetineexposure in infants through human milk is rare, but further analysisshould include active metabolites. Our approach may be valid forother drugs. [supported by CIHR and Swiss National Science Foundation(SNSF)]

IL28B expression depends on a novel TT/-G polymorphism which improves HCV clearance prediction.

Approximately 3% of the world population is chronically infected with the hepatitis C virus (HCV), with potential development of cirrhosis and hepatocellular carcinoma. Despite the availability of new antiviral agents, treatment remains suboptimal. Genome-wide association studies (GWAS) identified rs12979860, a polymorphism nearby IL28B, as an important predictor of HCV clearance. We report the identification of a novel TT/-G polymorphism in the CpG region upstream of IL28B, which is a better predictor of HCV clearance than rs12979860. By using peripheral blood mononuclear cells (PBMCs) from individuals carrying different allelic combinations of the TT/-G and rs12979860 polymorphisms, we show that induction of IL28B and IFN-γ-inducible protein 10 (IP-10) mRNA relies on TT/-G, but not rs12979860, making TT/-G the only functional variant identified so far. This novel step in understanding the genetic regulation of IL28B may have important implications for clinical practice, as the use of TT/G genotyping instead of rs12979860 would improve patient management.

Epidemiology and mortality of glacier crevasse accidents.

INTRODUCTION: Crevasse accidents can lead to severe injuries and even death, but little is known about their epidemiology and mortality. METHODS: We retrospectively reviewed helicopter-based emergency services rescue missions for crevasse victims in Switzerland between 2000 and 2010. Demographic and epidemiological data were collected. Injury severity was graded according to the National Advisory Committee for Aeronautics (NACA) score. RESULTS: A total of 415 victims of crevasse falls were included in the study. The mean victim age was 40 years (SD 13) (range 6-75), 84% were male, and 67% were foreigners. The absolute number of victims was much higher during the months of March, April, July, and August, amounting to 73% of all victims; 77% of victims were practicing mountaineering or ski touring. The mean depth of fall was 16.5m (SD 9.0) (range 1-35). Overall on-site mortality was 11%, and it was higher during the ski season than the ski offseason (14% vs. 7%; P=0.01), for foreigners (14% vs. 5%; P=0.01), and with higher mean depth of fall (22 vs. 15m; P=0.01). The NACA score was ≥4 for 22% of the victims, indicating potential or overt vital threatening injuries, but 24% of the victims were uninjured (NACA 0). Multivariable analyses revealed that depth of the fall, summer season, and snowshoeing were associated with higher NACA scores, whereas depth of the fall, snowshoeing, and foreigners but not season were associated with higher risk of death. CONCLUSION: The clinical spectrum of injuries sustained by the 415 patients in this study ranged from benign to life-threatening. Death occurred in 11% of victims and seems to be determined primarily by the depth of the fall.