Objective Primary to provide an overview of diagnostic accuracy for clinical tests for common elbow (sport) injuries, secondary accompanied by reproducible instructions to perform these tests. Design A systematic literature review according to the PRISMA statement. Data sources A comprehensive literature search was performed in MEDLINE via PubMed and EMBASE. Eligibility criteria We included studies reporting diagnostic accuracy and a description on the performance for elbow tests, targeting the following conditions: distal biceps rupture, triceps rupture, posteromedial impingement, medial collateral ligament (MCL) insufficiency, posterolateral rotatory instability (PLRI), lateral epicondylitis and medial epicondylitis. After identifying the articles, the methodological quality was assessed using the QUADAS-2 checklist. Results Our primary literature search yielded 1144 hits. After assessment 10 articles were included: six for distal biceps rupture, one for MCL insufficiency, two for PLRI and one for lateral epicondylitis. No articles were selected for triceps rupture, posteromedial impingement and medial epicondylitis. Quality assessment showed high or unclear risk of bias in nine studies. We described 24 test procedures of which 14 tests contained data on diagnostic accuracy. Conclusions Numerous clinical tests for the elbow were described in literature, seldom accompanied with data on diagnostic accuracy. None of the described tests can provide adequate certainty to rule in or rule out a disease based on sufficient diagnostic accuracy.
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Background & aims: Low muscle mass and -quality on ICU admission, as assessed by muscle area and -density on CT-scanning at lumbar level 3 (L3), are associated with increased mortality. However, CT-scan analysis is not feasible for standard care. Bioelectrical impedance analysis (BIA) assesses body composition by incorporating the raw measurements resistance, reactance, and phase angle in equations. Our purpose was to compare BIA- and CT-derived muscle mass, to determine whether BIA identified the patients with low skeletal muscle area on CT-scan, and to determine the relation between raw BIA and raw CT measurements. Methods: This prospective observational study included adult intensive care patients with an abdominal CT-scan. CT-scans were analysed at L3 level for skeletal muscle area (cm2) and skeletal muscle density (Hounsfield Units). Muscle area was converted to muscle mass (kg) using the Shen equation (MMCT). BIA was performed within 72 h of the CT-scan. BIA-derived muscle mass was calculated by three equations: Talluri (MMTalluri), Janssen (MMJanssen), and Kyle (MMKyle). To compare BIA- and CT-derived muscle mass correlations, bias, and limits of agreement were calculated. To test whether BIA identifies low skeletal muscle area on CT-scan, ROC-curves were constructed. Furthermore, raw BIA and CT measurements, were correlated and raw CT-measurements were compared between groups with normal and low phase angle. Results: 110 patients were included. Mean age 59 ± 17 years, mean APACHE II score 17 (11–25); 68% male. MMTalluri and MMJanssen were significantly higher (36.0 ± 9.9 kg and 31.5 ± 7.8 kg, respectively) and MMKyle significantly lower (25.2 ± 5.6 kg) than MMCT (29.2 ± 6.7 kg). For all BIA-derived muscle mass equations, a proportional bias was apparent with increasing disagreement at higher muscle mass. MMTalluri correlated strongest with CT-derived muscle mass (r = 0.834, p < 0.001) and had good discriminative capacity to identify patients with low skeletal muscle area on CT-scan (AUC: 0.919 for males; 0.912 for females). Of the raw measurements, phase angle and skeletal muscle density correlated best (r = 0.701, p < 0.001). CT-derived skeletal muscle area and -density were significantly lower in patients with low compared to normal phase angle. Conclusions: Although correlated, absolute values of BIA- and CT-derived muscle mass disagree, especially in the high muscle mass range. However, BIA and CT identified the same critically ill population with low skeletal muscle area on CT-scan. Furthermore, low phase angle corresponded to low skeletal muscle area and -density. Trial registration: ClinicalTrials.gov (NCT02555670).
In a rapidly developing labor market, in which some parts of jobs disappear and new parts appear due to technological developments, companies are struggling with defining future-proof job qualifications and describing job profiles that fit the organization’s needs. This is even more applicable to smaller companies with new types of work because they often grow rapidly and cannot hire graduates from existing study programs. In this research project, we undertook in-depth, qualitative research into the five roles of a new profession: social media architect. It has become clear which 21st century skills and motivations are important per role and, above all, how they differ in subcategory and are interpreted by a full-service team in their working methods, in a labor market context, and in the talents of the professional themselves. In a workshop, these “skills” were supplemented through a design-based approach and visualized per team role in flexibly applicable recruitment cards. This research project serves as an example of how to co-create innovative job profiles for the changing labor market. Ellen Sjoer, Petra Biemans. “A design-based (pre)recruitment approach for new professions: defining futureproof job profiles.” Információs Társadalom XX, no. 2 (2020): 84–100. https://dx.doi.org/10.22503/inftars.XX.2020.2.6
MUSE supports the CIVITAS Community to increase its impact on urban mobility policy making and advance it to a higher level of knowledge, exchange, and sustainability.As the current Coordination and Support Action for the CIVITAS Initiative, MUSE primarily engages in support activities to boost the impact of CIVITAS Community activities on sustainable urban mobility policy. Its main objectives are to:- Act as a destination for knowledge developed by the CIVITAS Community over the past twenty years.- Expand and strengthen relationships between cities and stakeholders at all levels.- Support the enrichment of the wider urban mobility community by providing learning opportunities.Through these goals, the CIVITAS Initiative strives to support the mobility and transport goals of the European Commission, and in turn those in the European Green Deal.Breda University of Applied Sciences is the task leader of Task 7.3: Exploitation of the Mobility Educational Network and Task 7.4: Mobility Powered by Youth Facilitation.
In het project wordt een nieuw door de HvA ontwikkelde methodiek (Open Collaborative Business Modelling methodiek, verder: ‘OCBM-methodiek’), toegepast om waardeproposities voor circulaire en biobased verpakkingen te ontwikkelen, samen met partijen uit de waardeketen. De inzet van biobased materialen is essentieel voor het terugdringen van het gebruik van fossiele plastics en – uiteindelijk – voor het bereiken van een volledig circulaire economie. De specifieke waardeketen waar het project zich op richt is die van verpakkingen op basis van Olifantsgras / Miscanthus. Projectpartner Vibers is een bedrijf dat dit gewas als grondstof gebruikt voor het produceren van o.a. verpakkingsmaterialen. Tijdens het project zal een viertal OCBM-sessies worden georganiseerd waarin Vibers in nauwe samenwerking met een wisselende groep ketenpartners en andere stakeholders een nieuwe waardepropositie formuleert. Projectpartner Kennisinstituut Duurzaam Verpakken (verder: KIDV) bewaakt in de OCBM-sessies de duurzaamheid van de ontwikkelde propositie en speelt een rol bij evaluatie van de OCBM-methodiek voor de verpakkingsindustrie. Het project levert daarmee twee belangrijke resultaten op: 1. Een met behulp van de OCBM-methodiek ontwikkelde waardepropositie voor een circulair business model waarin een biobased verpakking centraal staat; 2. Aanbevelingen voor het verfijnen van de OCBM-methodiek: specifieke aandachtspunten voor het ontwikkelen van innovatieve, circulaire business modellen met behulp van deze methodiek.
