IRC préterminale : il n'est jamais trop tôt pour référer au spécialiste : Revue cochrane pour le praticien

Cette rubrique présente les résultats d'une revue systématique récente telle que publiée dans la Cochrane Library (www.thecochranelibrary.com). Volontairement limité à un champ de recherche circonscrit, cet article reflète l'état actuel des connaissances de ce domaine. Il ne s'agit donc pas de recommandations pour guider la prise en charge d'une problématique clinique considérée dans sa globalité (guidelines). Les auteurs de ce résumé se basent sur la revue systématique et ne remettent pas en question le choix des articles inclus dans la revue. Scénario: Vous suivez un patient de 71 ans connu pour un diabète et une hypertension bien contrôlés, ainsi qu'une insuffisance rénale chronique de longue date, progressive, actuellement sévère (créatinine à 267 mmol/l, taux de filtration glomérulaire estimé (TFGe) à 21 ml/min/1,73 m2). Son état général est bon, son poids est stable et il ne présente pas de symptômes urémiques. Question: Faut-il adresser ce patient à un néphrologue ?

Major influencing factors of indoor radon concentrations in Switzerland.

PURPOSE: In Switzerland, nationwide large-scale radon surveys have been conducted since the early 1980s to establish the distribution of indoor radon concentrations (IRC). The aim of this work was to study the factors influencing IRC in Switzerland using univariate analyses that take into account biases caused by spatial irregularities of sampling. METHODS: About 212,000 IRC measurements carried out in more than 136,000 dwellings were available for this study. A probability map to assess risk of exceeding an IRC of 300 Bq/m(3) was produced using basic geostatistical techniques. Univariate analyses of IRC for different variables, namely the type of radon detector, various building characteristics such as foundation type, year of construction and building type, as well as the altitude, the average outdoor temperature during measurement and the lithology, were performed comparing 95% confidence intervals among classes of each variable. Furthermore, a map showing the spatial aggregation of the number of measurements was generated for each class of variable in order to assess biases due to spatially irregular sampling. RESULTS: IRC measurements carried out with electret detectors were 35% higher than measurements performed with track detectors. Regarding building characteristics, the IRC of apartments are significantly lower than individual houses. Furthermore, buildings with concrete foundations have the lowest IRC. A significant decrease in IRC was found in buildings constructed after 1900 and again after 1970. Moreover, IRC decreases at higher outdoor temperatures. There is also a tendency to have higher IRC with altitude. Regarding lithology, carbonate rock in the Jura Mountains produces significantly higher IRC, almost by a factor of 2, than carbonate rock in the Alps. Sedimentary rock and sediment produce the lowest IRC while carbonate rock from the Jura Mountains and igneous rock produce the highest IRC. Potential biases due to spatially unbalanced sampling of measurements were identified for several influencing factors. CONCLUSIONS: Significant associations were found between IRC and all variables under study. However, we showed that the spatial distribution of samples strongly affected the relevance of those associations. Therefore, future methods to estimate local radon hazards should take the multidimensionality of the process of IRC into account.

Inferring ultraviolet anatomical exposure patterns while distinguishing the relative contribution of radiation components

Exposure to solar ultraviolet (UV) radiation is the main causative factor for skin cancer. UV exposure depends on environmental and individual factors, but individual exposure data remain scarce. While ground UV irradiance is monitored via different techniques, it is difficult to translate such observations into human UV exposure or dose because of confounding factors. A multi-disciplinary collaboration developed a model predicting the dose and distribution of UV exposure on the basis of ground irradiation and morphological data. Standard 3D computer graphics techniques were adapted to develop a simulation tool that estimates solar exposure of a virtual manikin depicted as a triangle mesh surface. The amount of solar energy received by various body locations is computed for direct, diffuse and reflected radiation separately. Dosimetric measurements obtained in field conditions were used to assess the model performance. The model predicted exposure to solar UV adequately with a symmetric mean absolute percentage error of 13% and half of the predictions within 17% range of the measurements. Using this tool, solar UV exposure patterns were investigated with respect to the relative contribution of the direct, diffuse and reflected radiation. Exposure doses for various body parts and exposure scenarios of a standing individual were assessed using erythemally-weighted UV ground irradiance data measured in 2009 at Payerne, Switzerland as input. For most anatomical sites, mean daily doses were high (typically 6.2-14.6 Standard Erythemal Dose, SED) and exceeded recommended exposure values. Direct exposure was important during specific periods (e. g. midday during summer), but contributed moderately to the annual dose, ranging from 15 to 24% for vertical and horizontal body parts, respectively. Diffuse irradiation explained about 80% of the cumulative annual exposure dose.

Haemodialysis acutely reduces the plasma levels of ADMA without reversing impaired NO-dependent vasodilation

Rapport de synthèse : Introduction: la prévalence de l'insuffisance rénale chronique (IRC) augmente et malgré les traitements de remplacement rénal telle que la transplantation ou la dialyse, la mortalité chez des patients atteints d'une IRC reste très élevée. Les maladies cardiovasculaires sont la cause principale de mortalité chez ces patients, et le risque de décès dú à une complication cardiovasculaire est chez eux accru de 10 à 20 fois par rapport à la population générale. Méme si les facteurs de risque cardiovasculaires «traditionnels », principalement l'hypertension artérielle et le diabète sont très prévalents chez les patients avec IRC, ils sont insuffisants pour expliquer l'excès de mortalité cardiovasculaire. D'autres facteurs de risques « nontraditionnels » comme l'accumulation du diméthylarginine asymétrique (ADMA), un inhibiteur endogène de la synthase d'oxyde d'azote (NO), semblent aussi être importants. Chez les patients avec IRC, des taux élevés d'ADMA sont un puissant facteur prédictif indépendant de la mortalité cardiovasculaire. Il a également été démontré chez des souris que l'ADMA peut étre une cause directe de dysfonction endothéliale. Cette dernière joue un rôle primordial dans le développement de l'athérosclérose, cause principale des complications cardiovasculaires. Le but du présent travail est de tester l'hypothèse qu'une réduction du taux d'ADMA après une séance unique d'hémodialyse améliore la dysfonction endothéliale. Méthodes: la dysfonction endothéliale peut être évaluée dans les microvaisseaux de la péan de façon non invasive par fluxmétrie laser Doppler. La vasodilatation cutanée induite par un échauffement local de 34° à 41 °C (hyperémie thermique) est connue pour être dépendante de la production endothéliale de NO et a été utilisée dans plusieurs études cliniques pour évaluer la dysfonction endothéliale. Nous avons recruté 24 patients traités par hémodialyse chronique et également 24 sujets contrôles du même âge et sexe. Chez les patients dialysés, l'hyperémie thermique est mesuré une fois directement avant une séance d'hémodialyse, et une fois directement après une autre séance, toutes deux distantes de 2 à 7 jours. En même temps, les taux plasmatiques d'ADMA sont mesurés par la méthode de spectrométrie de masse en tandem. Chez les sujets contrôle, l'hyperémie thermique est également mesurée à deux reprises, à un intervalle de 2 à 7 jours comme chez les patients dialysés et les taux d'ADMA sont déterminés qu'une seule fois. Résultats: chez les patients dialysés, les réactions d'hyperémie thermique étaient superposables avant et après dialyse, mais moindre que chez les sujets contrôles. Par contre, les taux d'ADMA étaient plus élevés avant qu'après dialysé. Les taux d'ADMA après dialyse étaient similaires aux taux chez les sujets contrôles. Conclusion: cette étude montre que la vasodilatation dépendante de la production endothéliale de NO dans la microcirculation cutanée n'est pas influencée par les taux plasmatiques d'ADMA chez les patients dialysés. Ces résultats suggèrent que d'autres mécanismes sont responsables de la dysfonction endothéliale chez ces patients. Ceci met en question le concept que l'accumulation d'ADMA est un facteur causal du risque cardiovasculaire élevé et suggère que l'ADMA est juste un marqueur du milieu très athérogénique causé par l'IRC.

Insuffisance rénate chronique: attitudes et pratiques de dépistages en l'absence d'etudes randomisées. [Chronic kidney disease: screening attitude and practice in the absence of randomized controlled trials].

Au vu de l'augmentation de la prévalence de l'insuffisance rénale chronique (IRC), une détection précoce a été proposée. Certaines organisations de santé proposent des mesures de détection précoce (par exemple : taux de filtration glomérulaire). L'efficacité du dépistage de l'IRC n'est cependant pas connue puisqu'aucune étude randomisée contrôlée n'a été conduite. Si le test de dépistage de l'IRC est simple et peu onéreux, un dépistage n'est justifié que s'il améliore le pronostic par rapport à l'absence de dépistage avec un rapport risques-bénéfices favorable et un rapport coût-efficacité acceptable. Sur la base d'études observationnelles et de modèles de rapport coût-efficacité, le dépistage de l'IRC doit être proposé chez les patients hypertendus et/ou diabétiques mais pas dans la population générale. [Abstract] Given the increasing prevalence of chronic kidney disease (CKD), early detection has been proposed. Some organizations recommend CKD screening. Yet, the efficacy of CKD screening is unknown given the absence of randomized controlled trial conducted so far. While CKD screening tests (e.g., glomerular filtration rate) are simple and inexpensive, CKD screening can only be justified if it reduces CKD-related mortality and/or CKD-related morbidity compared to no screening. In addition, CKD screening must provide more benefits than risks to the participants and must be cost-effective. Based on observational studies and cost-effectiveness models, CKD screening has to be proposed to high risk population (patients with hypertension and/or diabetes) but not to the general population.

Machine learning analysis and modeling of interest rate curves

The present research deals with the review of the analysis and modeling of Swiss franc interest rate curves (IRC) by using unsupervised (SOM, Gaussian Mixtures) and supervised machine (MLP) learning algorithms. IRC are considered as objects embedded into different feature spaces: maturities; maturity-date, parameters of Nelson-Siegel model (NSM). Analysis of NSM parameters and their temporal and clustering structures helps to understand the relevance of model and its potential use for the forecasting. Mapping of IRC in a maturity-date feature space is presented and analyzed for the visualization and forecasting purposes.

Predictive analysis and mapping of indoor radon concentrations in Switzerland

It is estimated that around 230 people die each year due to radon (222Rn) exposure in Switzerland. 222Rn occurs mainly in closed environments like buildings and originates primarily from the subjacent ground. Therefore it depends strongly on geology and shows substantial regional variations. Correct identification of these regional variations would lead to substantial reduction of 222Rn exposure of the population based on appropriate construction of new and mitigation of already existing buildings. Prediction of indoor 222Rn concentrations (IRC) and identification of 222Rn prone areas is however difficult since IRC depend on a variety of different variables like building characteristics, meteorology, geology and anthropogenic factors. The present work aims at the development of predictive models and the understanding of IRC in Switzerland, taking into account a maximum of information in order to minimize the prediction uncertainty. The predictive maps will be used as a decision-support tool for 222Rn risk management. The construction of these models is based on different data-driven statistical methods, in combination with geographical information systems (GIS). In a first phase we performed univariate analysis of IRC for different variables, namely the detector type, building category, foundation, year of construction, the average outdoor temperature during measurement, altitude and lithology. All variables showed significant associations to IRC. Buildings constructed after 1900 showed significantly lower IRC compared to earlier constructions. We observed a further drop of IRC after 1970. In addition to that, we found an association of IRC with altitude. With regard to lithology, we observed the lowest IRC in sedimentary rocks (excluding carbonates) and sediments and the highest IRC in the Jura carbonates and igneous rock. The IRC data was systematically analyzed for potential bias due to spatially unbalanced sampling of measurements. In order to facilitate the modeling and the interpretation of the influence of geology on IRC, we developed an algorithm based on k-medoids clustering which permits to define coherent geological classes in terms of IRC. We performed a soil gas 222Rn concentration (SRC) measurement campaign in order to determine the predictive power of SRC with respect to IRC. We found that the use of SRC is limited for IRC prediction. The second part of the project was dedicated to predictive mapping of IRC using models which take into account the multidimensionality of the process of 222Rn entry into buildings. We used kernel regression and ensemble regression tree for this purpose. We could explain up to 33% of the variance of the log transformed IRC all over Switzerland. This is a good performance compared to former attempts of IRC modeling in Switzerland. As predictor variables we considered geographical coordinates, altitude, outdoor temperature, building type, foundation, year of construction and detector type. Ensemble regression trees like random forests allow to determine the role of each IRC predictor in a multidimensional setting. We found spatial information like geology, altitude and coordinates to have stronger influences on IRC than building related variables like foundation type, building type and year of construction. Based on kernel estimation we developed an approach to determine the local probability of IRC to exceed 300 Bq/m3. In addition to that we developed a confidence index in order to provide an estimate of uncertainty of the map. All methods allow an easy creation of tailor-made maps for different building characteristics. Our work is an essential step towards a 222Rn risk assessment which accounts at the same time for different architectural situations as well as geological and geographical conditions. For the communication of 222Rn hazard to the population we recommend to make use of the probability map based on kernel estimation. The communication of 222Rn hazard could for example be implemented via a web interface where the users specify the characteristics and coordinates of their home in order to obtain the probability to be above a given IRC with a corresponding index of confidence. Taking into account the health effects of 222Rn, our results have the potential to substantially improve the estimation of the effective dose from 222Rn delivered to the Swiss population.

Predictive analysis and mapping of indoor radon concentrations in a complex environment using kernel estimation: an application to Switzerland.

PURPOSE: The aim of this study was to develop models based on kernel regression and probability estimation in order to predict and map IRC in Switzerland by taking into account all of the following: architectural factors, spatial relationships between the measurements, as well as geological information. METHODS: We looked at about 240,000 IRC measurements carried out in about 150,000 houses. As predictor variables we included: building type, foundation type, year of construction, detector type, geographical coordinates, altitude, temperature and lithology into the kernel estimation models. We developed predictive maps as well as a map of the local probability to exceed 300 Bq/m(3). Additionally, we developed a map of a confidence index in order to estimate the reliability of the probability map. RESULTS: Our models were able to explain 28% of the variations of IRC data. All variables added information to the model. The model estimation revealed a bandwidth for each variable, making it possible to characterize the influence of each variable on the IRC estimation. Furthermore, we assessed the mapping characteristics of kernel estimation overall as well as by municipality. Overall, our model reproduces spatial IRC patterns which were already obtained earlier. On the municipal level, we could show that our model accounts well for IRC trends within municipal boundaries. Finally, we found that different building characteristics result in different IRC maps. Maps corresponding to detached houses with concrete foundations indicate systematically smaller IRC than maps corresponding to farms with earth foundation. CONCLUSIONS: IRC mapping based on kernel estimation is a powerful tool to predict and analyze IRC on a large-scale as well as on a local level. This approach enables to develop tailor-made maps for different architectural elements and measurement conditions and to account at the same time for geological information and spatial relations between IRC measurements.

Interest rates mapping

The present study deals with the analysis and mapping of Swiss franc interest rates. Interest rates depend on time and maturity, defining term structure of the interest rate curves (IRC). In the present study IRC are considered in a two-dimensional feature space - time and maturity. Exploratory data analysis includes a variety of tools widely used in econophysics and geostatistics. Geostatistical models and machine learning algorithms (multilayer perceptron and Support Vector Machines) were applied to produce interest rate maps. IR maps can be used for the visualisation and pattern perception purposes, to develop and to explore economical hypotheses, to produce dynamic asset-liability simulations and for financial risk assessments. The feasibility of an application of interest rates mapping approach for the IRC forecasting is considered as well. (C) 2008 Elsevier B.V. All rights reserved.

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units.

PURPOSE: According to estimations around 230 people die as a result of radon exposure in Switzerland. This public health concern makes reliable indoor radon prediction and mapping methods necessary in order to improve risk communication to the public. The aim of this study was to develop an automated method to classify lithological units according to their radon characteristics and to develop mapping and predictive tools in order to improve local radon prediction. METHOD: About 240 000 indoor radon concentration (IRC) measurements in about 150 000 buildings were available for our analysis. The automated classification of lithological units was based on k-medoids clustering via pair-wise Kolmogorov distances between IRC distributions of lithological units. For IRC mapping and prediction we used random forests and Bayesian additive regression trees (BART). RESULTS: The automated classification groups lithological units well in terms of their IRC characteristics. Especially the IRC differences in metamorphic rocks like gneiss are well revealed by this method. The maps produced by random forests soundly represent the regional difference of IRCs in Switzerland and improve the spatial detail compared to existing approaches. We could explain 33% of the variations in IRC data with random forests. Additionally, the influence of a variable evaluated by random forests shows that building characteristics are less important predictors for IRCs than spatial/geological influences. BART could explain 29% of IRC variability and produced maps that indicate the prediction uncertainty. CONCLUSION: Ensemble regression trees are a powerful tool to model and understand the multidimensional influences on IRCs. Automatic clustering of lithological units complements this method by facilitating the interpretation of radon properties of rock types. This study provides an important element for radon risk communication. Future approaches should consider taking into account further variables like soil gas radon measurements as well as more detailed geological information.

Randomised, multicentre, phase III, open-label study of alectinib vs crizotinib in treatment-naïve anaplastic lymphoma kinase (ALK)-positive advanced NSCLC (ALEX study).

Background: In ∼5% of advanced NSCLC tumours, ALK tyrosine kinase is constitutively activated after translocation of ALK. ALK+ NSCLC was shown to be highly sensitive to the first approved ALK inhibitor, crizotinib. However, all pts eventually relapse on crizotinib mainly due to secondary ALK mutations/amplification or CNS metastases. Alectinib is a highly selective, potent, oral next-generation ALK inhibitor. Clinical phase II alectinib data in 46 crizotinib-naïve pts with ALK+ NSCLC reported an objective response rate (ORR) of 93.5% and a 1-year progression-free rate of 83% (95% CI: 68-92) (Inoue et al. J Thorac Oncol 2013). CNS activity was seen: of 14 pts with baseline brain metastasis, 11 had prior CNS radiation, 9 of these experienced CNS and systemic PFS of >12 months; of the 3 pts without prior CNS radiation, 2 were >15 months progression free. Trial design: Randomised, multicentre, phase III, open-label study in pts with treatment-naïve ALK+ advanced, recurrent, or metastatic NSCLC. All pts must provide pretreatment tumour tissue to confirm ALK rearrangement (by IHC). Pts (∼286 from ∼180 centres, ∼30 countries worldwide) will be randomised to alectinib (600mg oral bid, with food) or crizotinib (250mg oral bid, with/without food) until disease progression (PD), unacceptable toxicity, withdrawal of consent, or death. Stratification factors are: ECOG PS (0/1 vs 2), race (Asian vs non-Asian), baseline CNS metastases (yes vs no). Primary endpoint: PFS by investigators (RECIST v1.1). Secondary endpoints: PFS by Independent Review Committee (IRC); ORR; duration of response; OS; safety; pharmacokinetics; quality of life. Additionally, time to CNS progression will be evaluated (MRI) for the first time in a prospective randomised NSCLC trial as a secondary endpoint. Pts with isolated asymptomatic CNS progression will be allowed to continue treatment beyond documented progression until systemic PD and/or symptomatic CNS progression, according to investigator opinion. Time to CNS progression will be retrospectively assessed by the IRC using two separate criteria, RECIST and RANO. Further details: ClinicalTrials.gov (NCT02075840). Disclosure: T.S.K. Mok: Advisory boards: AZ, Roche, Eli Lilly, Merck Serono, Eisai, BMS, AVEO, Pfizer, Taiho, Boehringer Ingelheim, Novartis, GSK Biologicals, Clovis Oncology, Amgen, Janssen, BioMarin; board of directors: IASLC; corporate sponsored research: AZ; M. Perol: Advisory boards: Roche; S.I. Ou: Consulting: Pfizer, Chugai, Genentech Speaker Bureau: Pfizer, Genentech, Boehringer Ingelheim; I. Bara: Employee: F. Hoffmann-La Roche Ltd; V. Henschel: Employee and stock: F. Hoffmann-La Roche Ltd.; D.R. Camidge: Honoraria: Roche/Genentech. All other authors have declared no conflicts of interest.

Etude observationnelle prospective comparant un analyseur automatique non-operateur dépendant de la VOP avec la pression de pouls, dans l'évaluation de la rigidité artérielle en hémodialye

L'insuffisance rénale chronique (IRC) accélère le durcissement vasculaire lié à l'âge. La rigidité artérielle peut être évaluée en mesurant la vitesse de l'onde du pouls (VOP) carotide-fémorale ou plus simplement, comme le recommandent les lignes directrices du KDOQI, en surveillant la pression du pouls (PP). Les deux mesures sont en corrélation avec la survie et l'incidence des maladies cardio-vasculaires. La VOP peut également être évaluée au niveau de l'artère brachiale avec l'aide d'un Mobil-O-Graph ; un dispositif automatique non-opérateur dépendant. Le but de l'étude était de vérifier si, dans une population de dialysés, la VOP obtenue par Mobil-O-Graph (MogVOP) est plus sensible que la PP pour détecter le vieillissement vasculaire. Un groupe de 143 patients de 4 unités de dialyse a été suivi en mesurant la MogVOP et la PP tous les 3 à 6 mois. Les résultants ont été comparés avec un groupe de contrôle qui avait les même facteurs de risque mais une eGFR > 30 ml/min. La MogVOP, contrairement à la PP, arrive à discriminer la population des dialysés du groupe de contrôle. La différence moyenne, traduite en âge, entre les deux populations était de 8.4 ans. L'augmentation de la MogVOP, en fonction de l'âge, était plus rapide dans le groupe de dialyse. 13.3% des patients dialysés, mais seulement 3.0% du groupe de contrôle, était des "outliers" pour la MogVOP. Le taux de mortalité (16 sur 143) était similaire chez les "outliers" et les "inliers" (7.4 contre 8.0% par ans). En stratifiant les patients selon la MogVOP on a pu observer une différence significative de la survie. Une valeur haute de parathormone (PTH) et le fait d'être dialysé pour une néphropathie hypertensive ont été associés à un niveau de base de MogVOP supérieur. Évaluer la VOP sur l'artère brachiale, en utilisant un Mobil-O-Graph, est une alternative valide et simple, laquelle, auprès de la population des dialysés, se révèle plus sensible au vieillissement vasculaire que la PP. Comme démontré dans des études antérieures la VOP est corrélée à la mortalité. Parmi les facteurs de risque spécifiques de l'IRC seulement la PTH est associée à une VOP de base plus haute.