Sex/gender bias in the management of chest pain in ambulatory care.

Cardiovascular diseases (CVD) are the main cause of death worldwide and despite a higher prevalence in men, mortality from CVD is higher among women. Few studies have assessed sex differences in chest pain management in ambulatory care. The objective of this post hoc analysis of data from a prospective cohort study was to assess sex differences in the management of chest pain in ambulatory care. We used data from the Thoracic Pain in Community cohort study that was realized in 58 primary care practices and one university ambulatory clinic in Switzerland. In total, 672 consecutive patients aged over 16 years attending a primary care practice or ambulatory care clinic with a complaint of chest pain were included between February and June 2001. Their mean age was 55.2 years and 52.5% were women. The main outcome was the proportion of patients referred to a cardiologist at 12 months follow-up. A panel of primary care physicians assessed the final diagnosis retained for chest pain at 12 months. The prevalence of chest pain of cardiovascular origin (n = 108, 16.1%) was similar for men and women (17.5% vs 14.8%, respectively, p = 0.4). Men with chest pain were 2.5 times more likely to be referred to a cardiologist than women (16.6% vs 7.4%, odds ratio: 2.49, 95% confidence interval: 1.52-4.09). After adjustment for the patients' age and cardiovascular disease risk factors, the estimates did not significantly change (odds ratio: 2.30, 95% confidence interval: 1.30-3.78). Although the same proportion of women and men present with a chest pain of cardiovascular origin in ambulatory care, there is a strong sex bias in their management. These data suggest that effort must be made to assure equity between men and women in medical care

Faster and better sparse blind source separation through mini-batch optimization

Sparse Blind Source Separation (sBSS) plays a key role in scientific domains as different as biomedical imaging, remote sensing or astrophysics, which require the development of increasingly faster and scalable BSS methods without sacrificing the separation performances. To that end, a new distributed sparse BSS algorithm is introduced based on a mini-batch extension of the Generalized Morphological Component Analysis algorithm (GMCA). Precisely, it combines a robust projected alternate least-squares method with mini-batches optimization. The originality further lies in the use of a manifold-based aggregation of asynchronously estimated mixing matrices. Numerical experiments are carried out on realistic spectroscopic spectra , and highlight the ability of the proposed distributed GMCA (dGMCA) to provide very good separation results even when very small mini-batches are used. Quite unexpectedly, it can further outperform the (non-distributed) state-of-the-art methods for highly sparse sources

Anti-TNF alpha medications and neuropathy.

We studied the clinical, electrophysiological, and pathological features, outcome, and frequency of anti-tumor necrosis factor alpha (a-TNF) medications-induced neuropathies (ATIN) in patients with inflammatory disorders. Of 2,017 patients treated with a-TNF medication, 12 patients met our inclusion criteria for a prevalence of 0.60% and an incidence of 0.4 cases per 1,000 person-years. The median time from a-TNF medication treatment to ATIN was 16.8 months (range 2-60 months). Six patients had focal or multifocal peripheral neuropathies. The other six had generalized neuropathies. For all, a-TNF medication was stopped. Seven patients received immunoglobulin infusions. ATIN outcome was favorable in all but one patient. ATINs are rare and heterogeneous neuropathies. In 10 patients, the neuropathy was "inflammatory", suggesting that it could be due to systemic pro-inflammatory effects of a-TNF agents

Anti-TNF alpha medications and neuropathy.

We studied the clinical, electrophysiological, and pathological features, outcome, and frequency of anti-tumor necrosis factor alpha (a-TNF) medications-induced neuropathies (ATIN) in patients with inflammatory disorders. Of 2,017 patients treated with a-TNF medication, 12 patients met our inclusion criteria for a prevalence of 0.60% and an incidence of 0.4 cases per 1,000 person-years. The median time from a-TNF medication treatment to ATIN was 16.8 months (range 2-60 months). Six patients had focal or multifocal peripheral neuropathies. The other six had generalized neuropathies. For all, a-TNF medication was stopped. Seven patients received immunoglobulin infusions. ATIN outcome was favorable in all but one patient. ATINs are rare and heterogeneous neuropathies. In 10 patients, the neuropathy was "inflammatory", suggesting that it could be due to systemic pro-inflammatory effects of a-TNF agents

Multi-CCD modelling of the point spread function

This work is based on data obtained as part of the Canada-France Imaging Survey, a CFHT large program of the National Research Council of Canada and the French CNRS. Based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA Saclay, at the Canada-France-Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institut National des Science de l’Univers (INSU) of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii.International audienceContext. Galaxy imaging surveys observe a vast number of objects, which are ultimately affected by the instrument’s point spread function (PSF). It is weak lensing missions in particular that are aimed at measuring the shape of galaxies and PSF effects represent an significant source of systematic errors that must be handled appropriately. This requires a high level of accuracy at the modelling stage as well as in the estimation of the PSF at galaxy positions.Aims. The goal of this work is to estimate a PSF at galaxy positions, which is also referred to as a non-parametric PSF estimation and which starts from a set of noisy star image observations distributed over the focal plane. To accomplish this, we need our model to precisely capture the PSF field variations over the field of view and then to recover the PSF at the chosen positions.Methods. In this paper, we propose a new method, coined Multi-CCD (MCCD) PSF modelling, which simultaneously creates a PSF field model over the entirety of the instrument’s focal plane. It allows us to capture global as well as local PSF features through the use of two complementary models that enforce different spatial constraints. Most existing non-parametric models build one model per charge-coupled device, which can lead to difficulties in capturing global ellipticity patterns.Results. We first tested our method on a realistic simulated dataset, comparing it with two state-of-the-art PSF modelling methods (PSFEx and RCA) and finding that our method outperforms both of them. Then we contrasted our approach with PSFEx based on real data from the Canada-France Imaging Survey, which uses the Canada-France-Hawaii Telescope. We show that our PSF model is less noisy and achieves a ∼22% gain on the pixel’s root mean square error with respect to PSFEx.Conclusions. We present and share the code for a new PSF modelling algorithm that models the PSF field on all the focal plane that is mature enough to handle real data

ShapePipe: A modular weak-lensing processing and analysis pipeline

International audienceWe present the first public release of ShapePipe, an open-source and modular weak-lensing measurement, analysis, and validation pipeline written in Python. We describe the design of the software and justify the choices made. We provide a brief description of all the modules currently available and summarise how the pipeline has been applied to real Ultraviolet Near-Infrared Optical Northern Survey data. Finally, we mention plans for future applications and development. The code and accompanying documentation are publicly available on GitHub