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Aims: Cardiovascular (CV) events are the leading cause of morbidity and mortality in patients with chronic kidney disease (CKD), including those patients on peritoneal dialysis (PD). Fibroblast growth factor 23 (FGF23) has been associated with left ventricular hypertrophy (LVH) and mortality in patients with CKD. However, the role of FGF23 in uremic vasculopathy remains unclear. In this study, we aimed to assess the relationship between FGF23 and LVH, endothelial dysfunction, vascular calcification, and arterial stiffness in 48 stable PD patients. Methods: Left ventricular mass index (LVMI) was assessed using 2-D echocardiography. Intact FGF23 blood levels were evaluated using an ELISA kit (Immutopics, Inc., San Clemente, CA, USA). Reactive hyperemia index (RHI) is a surrogate marker of endothelial dysfunction and the augmentation index (AI) is a surrogate marker of arterial stiffness. Both were assessed using peripheral arterial tonometry (EndoPAT 2000). Vascular calcification (VC) was assessed using the Adragao score. Results: In unadjusted analysis; FGF23 was positively correlated with serum Pi (r = 0.487, p < 0.001), serum urea (r = 0.351, p = 0.015), serum creatinine (r = 0.535, p < 0.001), dialysis vintage (r = 0.309, p = 0.033), and LVMI (r = 0.369, p = 0.027) and was negatively correlated with age (r = -0.343, p = 0.017), residual renal function (r = -0.359, p < 0.012), and AI (r = -0.304, p = 0.038). In multivariate adjusted analysis, FGF23 was associated with LVMI (beta = 0.298, p = 0.041), serum Pi (beta = 0.345, p = 0.018), and age (beta = -0.372, p = 0.007) independent of dialysis vintage, gender, residual renal function (RRF), albumin, C-reactive protein and systolic blood pressure. There were no associations found between FGF23 and RHI, AI, or VC in multivariable-adjusted models. Conclusions: Our results show that FGF23 is associated with LVH but not with endothelial dysfunction, arterial stiffness, or vascular calcification in PD patients.

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Gathering knowledge about food and nutritional habits of a population is of the utmost importance since dietary intervention positively impacts health outcomes across the life span. With this transversal epidemiologic study representative of the adult Portuguese population (data from SPCNA), we tried to know the nutritional intake pattern (energy and macronutrients) of the Portuguese population. In an domiciliary individualized interview sociodemographic data were registered and food intake was evaluated by the 24-hour recall method. Portuguese energy intake, is on average, 2056 kcal/day, distributed by 19.1% of protein, 45.8% of carbohydrates and 31.3% of total fat, and 3.8% of ethanol. These data will be important to Portuguese public health interventions. © 2016 The Authors

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The news industry has gone through seismic shifts in the past decade with digital content and social media completely redefining how people consume news. Readers check for accurate fresh news from multiple sources throughout the day using dedicated apps or social media on their smartphones and tablets. At the same time, news publishers rely more and more on social networks and citizen journalism as a frontline to breaking news. In this new era of fast-flowing instant news delivery and consumption, publishers and aggregators have to overcome a great number of challenges. These include the verification or assessment of a source’s reliability; the integration of news with other sources of information; real-time processing of both news content and social streams in multiple languages, in different formats and in high volumes; deduplication; entity detection and disambiguation; automatic summarization; and news recommendation. Although Information Retrieval (IR) applied to news has been a popular research area for decades, fresh approaches are needed due to the changing type and volume of media content available and the way people consume this content. The goal of this workshop is to stimulate discussion around new and powerful uses of IR applied to news sources and the intersection of multiple IR tasks to solve real user problems. To promote research efforts in this area, we released a new dataset consisting of one million news articles to the research community and introduced a data challenge track as part of the workshop. © Springer International Publishing Switzerland 2016.

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