23 research outputs found

    FASE-CPHG Study: identification of asthma phenotypes in the French Severe Asthma Study using cluster analysis

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    BACKGROUND: In France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting. METHODS: The study design was prospective, observational and multicentric. The patients included were adults with severe asthma (GINA 4-5) followed-up in French Non Academic Hospital between May 2016 and June 2017. One hundred and seven physicians included 1502 patients. Both sociodemographic and clinical variables were collected. Hierarchical cluster analysis was performed by the Ward method followed by k-means cluster analysis on a population of 1424 patients. RESULTS: Five clusters were identified: cluster 1 (n = 690, 47%) called early onset allergic asthma (47.5% with asthma before 12 years), cluster 2 (n = 153, 10.5%): obese asthma (63.5% with BMI > 30 kg/m(2)), cluster 3 (n = 299, 20.4%): late-onset asthma with severe obstructive syndrome (89% without atopy), cluster 4 (n = 143, 9.8%): eosinophilic asthma (51.7% had more than 500 eosinophils/mm(3)), and cluster 5 (n = 139, 9.5%): aspirin sensitivity asthma (63% had severe asthma attacks). CONCLUSIONS: In our population of adults with severe asthma followed by pulmonologists, five distinct phenotypes were identified and are quite different from those mentioned in previous studies

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Real-Time Adaptive suppression of MR gradient Artifacts on Electorcardiograms using a new 3D Hall Probe

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    International audienceDue to heart motion, cardiac MRI is made difficult and image acquisitions have to be synchronized with heart activity to suppress cardiac motion artifacts. Electrocardiogram (ECG) is the most accurate tool for this purpose, and Triggering consists in synchronizing MR sequences on the R-waves. The complex MR environment worsens ECG acquisition conditions because of the static magnetic field (Hall Effect), Radio Frequency (RF) and fast switching magnetic field gradients. Many hardware developments have been achieved so as to limit these undesirable effects [1], but gradient artifacts are still a problem and signal processing is required. Two ways of research have been followed; (a) first way consists in building a MR specific QRS detector [2], which is based on the vectocardiogram (VCG) the 3D representation of heart activity. This method does unfortunately not provide a clear ECG and is unable to process patient with low VCG amplitude. (b) Secondly a real-time gradient artifact suppression method has been designed. This method is based on adaptive signal processing [3] and achieves real-time accurate denoising which enables triggering. This method requires gradient signals information, which is a major drawback as the connection to the MR system is rarely available. In this paper a new real-time gradient artifact correction, which does not require any connection to the MR system, is presented. The magnetic field pulse signals will be provided by a new specifically MR designed 3D Hall probe, integrated on a low cost 0.35\ÎŒm CMOS technology [4, 5]

    Environmental and mechanical evaluation of warm mix asphalts in laboratory and on site

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    E&E Congress 2016, 6th Eurasphalt & Eurobitume Congress, Prague, TCHÈQUE, RÉPUBLIQUE, 01-/06/2016 - 03/06/2016Warm asphalt mixes made with ready to use binders or with other types of technology like bitumen foam are commonly used in France and elsewhere. In order to develop knowledge on the different technologies, an experimental trial has been organized in September 2013 in partnership between TOTAL Marketing Services, Eiffage TP and Ifsttar. The purpose of the test was to carry out environmental assessment of the warm mixes comparatively to traditional hot mixes. 4 sections have been realized (hot mix asphalt, warm mix asphalt with respectively ready to use binder, foam, and combination of foam and ready to use binder). The asphalt plant had been equipped in order to record energy consumption and to monitor the chimney emissions. On average the different warm mix technologies lead to savings on energy consumption and on greenhouse effect gases. Extensive asphalt quality data like for example voids contents and macrotexture have also been recorded during the trial. Stiffness tests have also been carried out on cores. Performances of warm mixes are equivalent to the ones obtained with hot mix. A follow-up of the test is planned

    Phenotyping to Target Obstructive Sleep Apnoea Syndrom (OSAS) in adults patients with severe asthma

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    BACKGROUND: Obstructive sleep apnoea syndrome (OSAS) and severe asthma are frequently associated. This article focuses on the relationship between severe asthma phenotypes and OSAS. METHODS: FASE-CPHG was an observational, cross-sectional, prospective, multicentric study conducted in 104 non-academic hospitals from May-16 to July-17. 1465 patients with severe asthma were analysed and 1424 patients phenotyped. Clusters were compared for OSAS presence; independent factors associated with OSAS were identified by logistic regression. RESULTS: 11% of patients with severe asthma reported OSAS. OSAS incidence differed according to asthma phenotypes. 98% of OSAS patients belonged to the "obese asthma" cluster, and none to the "early onset allergic asthma" cluster. Independent factors associated with OSAS were obesity (OR=5.782 [3.927-8.512]), male gender (OR=3.047 [2.059-4.510]), high blood pressure (OR=2.875 [1.978-4.181]), depression (OR=2.552 [1.607-4.050]), late-onset asthma (OR=1.789 [1.167-2.743]) and atopy (OR=0.622 [0.408-0.948]). Moreover, OSAS patients were more frequently treated with long-term oral corticosteroids (30% vs 15%, p < 0.0001), that may contribute to the high prevalence of obesity in this group of patients. They were more frequently uncontrolled (78% vs 69%, p = 0.03) and they engaged in low level physical activity (vs 80% vs 68% p ≀ 0.001). CONCLUSION: Our study gives an innovative insight into OSAS associated with severe asthma. Most of patients with OSAS belonged to the cluster "obese asthma" and none to the cluster "early onset allergic asthma". In addition to male gender, arterial hypertension and depression, obese asthma, late onset asthma and non-atopic status were identified as specific risk factors. Oral corticosteroids seems to play a deleterious role. Phenotyping asthma can help physicians target severe asthmatic patients with OSAS and may avoid unnecessary examinations
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