NIOX VERO: Individualized Asthma Management in Clinical Practice

As we move toward an era of precision medicine, novel biomarkers of disease will enable the identification and personalized treatment of new endotypes. In asthma, fractional exhaled nitric oxide (FeNO) serves as a surrogate marker of airway inflammation that often correlates with the presence of sputum eosinophils. The increase in FeNO is driven by an upregulation of inducible nitric oxide synthase (iNOS) by cytokines, which are released as a result of type-2 airway inflammation. Scientific evidence supports using FeNO in routine clinical practice. In steroid-naive patients and in patients with mild asthma, FeNO levels decrease within days after corticosteroid treatment in a dose-dependent fashion and increase after steroid withdrawal. In difficult asthma, FeNO testing correlates with anti-inflammatory therapy compliance. Assessing adherence by FeNO testing can remove the confrontational aspect of questioning a patient about compliance and change the conversation to one of goal setting and ways to improve disease management. However, the most important aspect of incorporating FeNO in asthma management is the reduction in the risk of exacerbations. In a recent primary care study, reduction of exacerbation rates and improved symptom control without increasing overall inhaled corticosteroid (ICS) use were demonstrated when a FeNO-guided anti-inflammatory treatment algorithm was assessed and compared to the standard care. A truly personalized asthma management approach—showing reduction of exacerbation rates, overall use of ICS and neonatal hospitalizations—was demonstrated when FeNO testing was applied as part of the treatment algorithm that managed asthma during pregnancy. The aim of this article is to describe how FeNO and the NIOX VERO® analyzer can help to optimize diagnosis and treatment choices and to aid in the monitoring and improvement of clinical asthma outcomes in children and adults

Advances in Cognitive Sociolinguistics

© 2010 Walter de Gruyter GmbH & Co. KG, Berlin/New York. All Rights Reserved. Cognitive Sociolinguistics is a novel and burgeoning field of research which seeks to foster investigation into the socio-cognitive dimensions of language at a usage-based level. Advances in Cognitive Sociolinguistics brings together ten studies into the social and conceptual aspects of language-internal variation. All ten contributions rely on a firm empirical basis in the form of advanced corpus-based techniques, experimental methods and survey-based research, or a combination of these. The search for methods that may adequately unravel the complex and multivariate dimensions intervening in the interplay between conceptual meaning and variationist factors is thus another characteristic of the volume. In terms of its descriptive scope, the volume covers three main areas: lexical and lexical-semantic variation, constructional variation, and research on lectal attitudes and acquisition. It thus illustrates how Cognitive Sociolinguistics studies both the variation of meaning, and the meaning of variation.status: publishe

Data Mining for Information Literacy

Abstract. This paper argues for extending the scope of applying data mining towards making it a means to help people better understand, reflect and influence the information and information-producing and-consuming activities that they are surrounded by in today’s knowledge societies. Data mining is thereby seen as a means to furthering information literacy and specifically critical literacy. We discuss and extend classical definitions of these two constructs and derive critical data literacy and privacy literacy as two essential new key sub-competences. We describe an analysis framework for concrete efforts to use data mining in this way, structuring by techniques and objects and characterising by how principles of successful learning are supported. We then analyse a number of examples of current Web-based tools within this framework, investigating how they can further critical data literacy and privacy literacy. We conclude with an outlook on next steps in the proposed new field of Data Mining for Information Literacy

Impaired endothelial function in female adolescents with type 1 diabetes measured by peripheral artery tonometry

Abstract: The reactive hyperemia peripheral artery tonometry (RH-PAT) is a newly developed method for non-invasive endothelial function assessment. The goal of this study is to determine whether a significant difference in RH-PAT score is present between adolescents with type 1 diabetes (T1D) in comparison with controls. Thirty-four adolescents with T1D and 25 control subjects (age 12-20 years) underwent RH-PAT endothelial function testing after an overnight fast. Height, weight, body mass index (BMI), blood pressure (BP), fasting lipid profile, Tanner stage, and glucose level were determined in each child. Adolescents with T1D had significantly lower RH-PAT scores compared to healthy controls, and this difference remained significant when overweight cases were not considered (p < 0.05). This difference was also observed in the female subgroup (p = 0.005). The interindividual variability in RH-PAT observations in T1D cases was not explained by BMI standard deviation score (SDS), BP SDS, age, duration of T1D, hemoglobin A1c, triglycerides, and pubertal stage, respectively. The RH-PAT technique is used as a non-invasive test to assess for early vascular changes in high-risk patient groups. Endothelial dysfunction, measured by RH-PAT, was present in diabetic adolescent, especially in the female subgroup. Although additional longitudinal studies are required, early detection of this reversible process may have therapeutic and prognostic implications