Danube University Krems

About: Danube University Krems is a education organization based out in Krems, Niederösterreich, Austria. It is known for research contribution in the topics: Stroke & Population. The organization has 498 authors who have published 1572 publications receiving 68797 citations.

The performance of diabetes risk prediction models in new populations: the role of ethnicity of the development cohort

Abstract: It is believed that diabetes risk scores need to be ethnic specific. However, this prerequisite has not been tested. We examined the performance of several risk models, developed in various populations, in a Europid and a South Asian population. The performance of 14 published risk prediction models were tested in two prospective studies: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study and the Mauritius non-communicable diseases survey. Eight models were developed in Europid populations; the remainder in various non-Europid populations. Model performance was assessed using area under the receiver operating characteristic curves (discrimination), Hosmer–Lemeshow tests (goodness-of-fit) and Brier scores (accuracy). In both AusDiab and Mauritius, discrimination was highest for a model developed in a mixed population (non-Hispanic white and African American) and lowest for a model developed in a Europid population. Discrimination for all scores was higher in AusDiab than in Mauritius. For almost all models, goodness-of-fit was poor irrespective of the ethnicity of the development cohort, and accuracy was higher in AusDiab compared to Mauritius. Our results suggest that similarity of ethnicity or similarity of diabetes risk may not be the best way of identifying models that will perform well in another population. Differences in study methodology likely account for much of the difference in the performance. Thus, identifying models which use measurements that are clearly described and easily reproducible for both research and clinical settings may be more important.

Psychosocial Distress, an Underinvestigated Risk Factor for Stroke

Abstract: See related article, p 367. Sometimes we have to look at the obvious. Modifiable risk factors for stroke have been identified and their control has been proven to be effective. Although frequent risk factors, such as hypertension, heart disease, and diabetes mellitus, contribute strongly to stroke incidence, they do not explain all incident cases. Therefore, the search of new risk factors is ongoing. To many physicians and patients, it is obvious that stressful life events play a role, especially, when they become a chronic and heavy burden in private life, for instance a severe disease occurring in a close relative or the sudden loss of a next-of-kin, and also changes in professional life can play a role, such as career disappointments or loss of job. It is quite obvious that such events are potentially harmful and change the outlook of everyone affected by them. Although some persons may adapt themselves more easily to such changes, others develop adjustment disorders and this burden develops a distressing quality, which increases the risk of suffering a stroke. Such factors causing psychosocial distress have been correlated with major depression, type A behavior, stressful life events, unemployment, caregiver …

SAMBA: A self-aware health monitoring architecture for distributed industrial systems

Abstract: In the context of Industry 4.0, constantly evolving shop floors generate the need for a highly adaptive and autonomous automation system with lean maintenance, minimum downtime, maximum reliability, and resilience. Future Manufacturing Execution Systems (MESs) will be more complex and dynamic as well as distributed physically and logically. This makes it very difficult, if not impossible, for the conventional centralized architectures to effectively control these vibrant Cyber-Physical Production Systems (CPPSs). To address these issues, we propose Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA), an architecture which tackles these challenges. SAMBA increases the ability of the system to intelligently adapt to rapidly changing environment and conditions of future CPPSs.

Grain-size dependent demagnetizing factors in permanent magnets

Abstract: The coercive field of permanent magnets decreases with increasing grain size. The grain size dependence of coercivity is explained by a size dependent demagnetizing factor. In Dy free Nd$_2$Fe$_{14}$B magnets the size dependent demagnetizing factor ranges from 0.2 for a grain size of 55 nm to 1.22 for a grain size of 8300 nm. The comparison of experimental data with micromagnetic simulations suggests that the grain size dependence of the coercive field in hard magnets is due to the non-uniform magnetostatic field in polyhedral grains.

Cytokine Induction in Patients Undergoing Regular Online Hemodiafiltration Treatment

Abstract: End-stage renal disease (ESRD) patients are known to suffer from chronic inflammation as the result of an ongoing subacute cytokine induction, which may contribute considerably to dialysis-related, long-term morbidity and mortality. Preparation of infusate from cytokine-inducing dialysis fluid and its administration in large quantities as well as the use of high-flux membranes bear the risk of aggravating the chronic inflammatory response among online hemodiafiltration (online HDF) patients. In order to assess the inflammatory risk associated with online HDF, we compared the cytokine induction profile of ESRD patients receiving either online HDF or low-flux hemodialysis (low-flux HD). Specifically, we measured spontaneous and lipopolysaccharide (LPS)-stimulated tumor necrosis factor alpha (TNFalpha) and interleukin-1 receptor antagonist (IL-1Ra) release during ex vivo incubation of whole blood. Ultrapure dialysis fluid and polysulfone membranes were used for both treatment modalities. LPS-stimulated release of TNFalpha and IL-1Ra was elevated for both online HDF and low-flux HD patients compared to healthy individuals (TNFalpha: 2,336 +/- 346 and 2,192 +/- 398 versus 1,218 +/- 224 pg/106 white blood cells [WBC]; IL-1Ra: 2,410 +/- 284 and 2,326 +/- 186 versus 1,678 +/- 219 pg/106 WBC). Likewise, spontaneous production of TNFalpha, but not IL-1Ra, was higher in online HDF and low-flux HD patients than in normal controls (37 +/- 32 and 22 +/- 19 versus 0.8 +/- 0.3 pg TNFalpha/106 WBC). There was no difference in spontaneous and LPS-stimulated cytokine release between both dialysis groups. In addition, intradialytic cytokine induction was not significant for either treatment modality as spontaneous and LPS-stimulated cytokine release were not increased postdialysis. These findings indicate that online HDF does not contribute to chronic leukocyte activation and, consequently, does not place ESRD patients at greater risk with respect to inflammatory morbidity and mortality.