Abstract: Background: Hip fracture in older patients often lead to permanent disabilities and can result in mortality. Objective: To identify distinct disability trajectories from admission to one-year post-discharge in acutely hospitalized older patients after hip fracture. Design: Prospective cohort study, with assessments at admission, three-months and one-year post-discharge. Setting and participants: Patients ≥ 65 years admitted to a 1024-bed tertiary teaching hospital in the Netherlands. Methods: Disability was the primary outcome and measured with the modified Katz ADL-index score. A secondary outcome was mortality. Latent class growth analysis was performed to detect distinct disability trajectories from admission and Cox regression was used to analyze the effect of the deceased patients to one-year after discharge. Results: The mean (SD) age of the 267 patients was 84.0 (6.9) years. We identified 3 disability trajectories based on the Katz ADL-index score from admission to one-year post-discharge: ‘mild’- (n=54 (20.2%)), ‘moderate’- (n=110 (41.2%)) and ‘severe’ disability (n=103 (38.6%)). Patients in all three trajectories showed an increase of disabilities at three months, in relation to baseline and 80% did not return to baseline one-year post-discharge. Seventy-three patients (27.3%) deceased within one-year post-discharge, particularly in the ‘moderate’- (n=22 (8.2%)) and ‘severe’ disability trajectory (n=47 (17.6%)). Conclusions: Three disability trajectories were identified from hospital admission until one-year follow-up in acutely hospitalized older patients after hip fracture. Most patients had substantial functional decline and 27% of the patient’s deceased one-year post-discharge, mainly patients in the ‘moderate’- ‘and severe’ disability trajectories.
To evaluate the 5-year course of physical work capacity of participants with early symptomatic osteoarthritis (OA) of the hip and/or the knee; to identify trajectories and explore the relationship between trajectories and covariates. Methods In a prospective cohort study, physical work capacity was measured at baseline, using a test protocol (functional capacity evaluation) consisting of work-related physical activities. Participants were invited to participate in 1, 2 and 5 year follow-up measurements. Multilevel analysis and latent classes analysis were performed, in models with test performances as dependent variables and age, sex, work status, self-reported function (Western Ontario McMasters Arthritis Scale-WOMAC), body mass index (BMI) and time as independent variables. Multiple imputation was used to control for the influence of missing data. Results At baseline and after 1, 2 and 5 years there were 96, 64, 61 and 35 participants. Mean (SD) age at baseline was 56 (4.9) years, 84% were females. There was no statistically significant change in test performances (lifting low and high, carrying, static overhead work, repetitive bending, repetitive rotations) between the 4 measurements. Male sex, younger age and better self-reported function were statistically significant (p < 0.05) determinants of higher performance on most of the tests; having a paid job, BMI and progression of time were not. Three trajectories were identified: 'weak giving way', 'stable and able', and 'strong with decline'. Discussion In subgroups of participants with early symptomatic OA, determined by age, sex and self-reported function, physical work capacity seems to be a stable characteristic over 5 years.
OBJECTIVE: The prevalence of osteoarthritis (OA) increases, but the impact of the disorder on peoples' functional capacity is not known. Therefore, the objective of this study was to compare self-reported health status and functional capacity of subjects with early OA of hip and/or knee to reference data of healthy working subjects and to assess whether this capacity is sufficient to meet physical job demands.METHODS: Self-reported health status and functional capacity of 93 subjects from the Cohort Hip and Cohort Knee (CHECK) were measured using the Short-Form 36 Health Survey and 6 tests of the Work Well Systems Functional Capacity Evaluation. Results were compared with reference data from 275 healthy workers, using t-tests. To compare the functional capacity with job demands, the proportions of subjects with OA performing lower than the p(5) of reference data were calculated.RESULTS: Compared to healthy workers, the subjects (mean age 56) from CHECK at baseline reported a significantly worse physical health status, whereas the women (n = 78) also reported a worse mental health status. On the FCE female OA subjects performed significantly lower than their healthy working counterparts on all 6 tests. Male OA subjects performed lower than male workers on 3 tests. A substantial proportion of women demonstrated functional capacities that could be considered insufficient to perform jobs with low physical demands.CONCLUSIONS: Functional capacity and self-reported health of subjects with early OA of the hips and knees were worse compared to healthy ageing workers. A substantial proportion of female subjects did not meet physical job demands.
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.
Organs-on-chips (OoCs) worden steeds belangrijker voor geneesmiddelonderzoek. Het kweken van miniatuurorganen in microfluïdische chips creëert een systeem waarmee geneesmiddelonderzoekers efficiënt geneesmiddelen kunnen testen. OoCs kunnen in de toekomst een belangrijk instrument voor personalized medicine worden: door het kweken van patiëntmateriaal in OoCs kan dan worden bepaald welke interventies voor specifieke patiënten werken en veilig zijn. In de huidige praktijk worden cellulaire veranderingen in OoCs na blootstelling aan een geneesmiddel doorgaans gevolgd met visualisatietechnieken, waarmee alleen effecten van geneesmiddelen kunnen worden waargenomen. Voor bepaling van de voor geneesmiddelonderzoek cruciale parameters absorptie, distributie, metabolisme en excretie (ADME) is het noodzakelijk om de concentraties van geneesmiddelen en hun relevante metabolieten te meten. Het doel van AC/OC is dit mogelijk te maken door het ontwikkelen van analytisch-chemische technieken, gebaseerd op vloeistofchromatografie gekoppeld met massaspectrometrie (LC-MS). Hiermee kunnen ontwikkelaars van OoCs (de eindgebruikers van AC/OC) de voordelen van hun producten voor geneesmiddelonderzoek beter onderbouwen. Dit project bouwt voort op twee KIEM-projecten, waarin enkele veelbelovende analytisch-chemische technieken succesvol zijn verkend. In AC/OC zullen wij: 1. analytisch-chemische methodes ontwikkelen die geschikt zijn om een breed scala aan geneesmiddelen en metabolieten te bepalen in meerdere types OoCs; 2. deze methodes verbeteren, zodat de analyse geautomatiseerd, sneller en gevoeliger wordt; 3. de potentie van deze methodes voor geneesmiddelonderzoek met OoCs demonsteren door ze toe te passen op enkele praktijkvraagstukken. Het OoC-veld ontwikkelt zich razendsnel en Nederland (georganiseerd binnen OoC-consortium hDMT) speelt daarin een belangrijke rol. AC/OC verbindt kennis en expertise op het gebied van analytische chemie, OoCs, celkweek en geneesmiddelonderzoek. Hierdoor kan AC/OC een bijdrage leveren aan sneller en betrouwbaarder geneesmiddelonderzoek. Met de ontwikkeling van een minor ‘OoC-Technology’, waarin we de onderzoeksresultaten vertalen naar onderwijs, spelen we in op de behoefte aan professionals met kennis, ervaring en belangstelling op het gebied van OoCs.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
