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Danube University Krems

EducationKrems, Niederösterreich, Austria
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.


Papers
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Journal ArticleDOI
TL;DR: In this article, the present situation of e-participation initiatives of Austrian municipalities and derives recommendations to further enhance the eparticipation sophistication level based on hypotheses verified against a dataset obtained from an electronic survey among all Austrian municipalities, conducted in 2008.
Abstract: Purpose – The purpose of this paper is to depict the present situation of e‐participation initiatives of Austrian municipalities and derives recommendations to further enhance the e‐participation sophistication level.Design/methodology/approach – The findings are based on hypotheses we verified against a dataset obtained from an electronic survey among all Austrian municipalities, conducted in 2008.Findings – The technical basis for e‐participation in Austria is well developed, yet accessibility of municipal web sites and the phrasing of information leaves space for improvement. E‐participation in Austria is still in a nascent state and requires the convergence of technical, political, legal and socio‐economic factors, which has not yet fully arrived at the municipal level.Research limitations/implications – The raw material of the survey did not allow a qualitative assessment of e‐services.Practical implications – Change of law and reconsideration of opening hierarchical structures.Social implications – ...

22 citations

Journal ArticleDOI
TL;DR: In this article, the authors evaluated severe psychological symptoms in the United Kingdom and Austria after four weeks of lockdown due to COVID-19 and found that the prevalence of severe depressive, anxiety or insomnia symptoms was around three times higher in the UK than in Austria.

22 citations

Journal ArticleDOI
30 Jul 2010-PLOS ONE
TL;DR: It is suggested that for the majority of drugs sex does not appear to be a factor that has to be taken into consideration when choosing a drug treatment, and no substantial differences in efficacy and safety exist between men and women.
Abstract: Being male or female is an important determinant of risks for certain diseases, patterns of illness and life expectancy. Although differences in risks for and prognoses of several diseases have been well documented, sex-based differences in responses to pharmaceutical treatments and accompanying risks of adverse events are less clear. The objective of this umbrella review was to determine whether clinically relevant differences in efficacy and safety of commonly prescribed medications exist between men and women. We retrieved all available systematic reviews of the Oregon Drug Effectiveness Review Project published before January 2010. Two persons independently reviewed each report to identify relevant studies. We dually abstracted data from the original publications into standardized forms. We synthesized the available evidence for each drug class and rated its quality applying the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. Findings, based on 59 studies and data of more than 250,000 patients suggested that for the majority of drugs no substantial differences in efficacy and safety exist between men and women. Some clinically important exceptions, however, were apparent: women experienced substantially lower response rates with newer antiemetics than men (45% vs. 58%; relative risk 1.49, 95% confidence interval 1.35–1.64); men had higher rates of sexual dysfunction than women while on paroxetine for major depressive disorder; women discontinued lovastatin more frequently than men because of adverse events. Overall, for the majority of drugs sex does not appear to be a factor that has to be taken into consideration when choosing a drug treatment. The available body of evidence, however, was limited in quality and quantity, confining the range and certainty of our conclusions.

22 citations

Journal ArticleDOI
03 Mar 2016-PLOS ONE
TL;DR: An Artificial Neural Network (ANN) algorithm for predicting hemoglobin concentrations three months into the future was developed and evaluated in a retrospective study on a sample population of 1558 HD patients treated with intravenous (IV) darbepoetin alfa, and IV iron.
Abstract: Anemia management, based on erythropoiesis stimulating agents (ESA) and iron supplementation, has become an increasingly challenging problem in hemodialysis patients. Maintaining hemodialysis patients within narrow hemoglobin targets, preventing cycling outside target, and reducing ESA dosing to prevent adverse outcomes requires considerable attention from caregivers. Anticipation of the long-term response (i.e. at 3 months) to the ESA/iron therapy would be of fundamental importance for planning a successful treatment strategy. To this end, we developed a predictive model designed to support decision-making regarding anemia management in hemodialysis (HD) patients treated in center. An Artificial Neural Network (ANN) algorithm for predicting hemoglobin concentrations three months into the future was developed and evaluated in a retrospective study on a sample population of 1558 HD patients treated with intravenous (IV) darbepoetin alfa, and IV iron (sucrose or gluconate). Model inputs were the last 90 days of patients' medical history and the subsequent 90 days of darbepoetin/iron prescription. Our model was able to predict individual variation of hemoglobin concentration 3 months in the future with a Mean Absolute Error (MAE) of 0.75 g/dL. Error analysis showed a narrow Gaussian distribution centered in 0 g/dL; a root cause analysis identified intercurrent and/or unpredictable events associated with hospitalization, blood transfusion, and laboratory error or misreported hemoglobin values as the main reasons for large discrepancy between predicted versus observed hemoglobin values. Our ANN predictive model offers a simple and reliable tool applicable in daily clinical practice for predicting the long-term response to ESA/iron therapy of HD patients.

22 citations

Journal ArticleDOI
TL;DR: Investigation of the effect of different working modes and power settings of a standardized 980-nm diode laser on collateral thermal soft-tissue damage found that setting the laser parameters in accordance with the absorption characteristics of the tissue reduced collateral thermal tissue damage while maintaining an acceptable cutting ability.
Abstract: The aim of this study was to investigate the effect of different working modes (pulsed and micropulsed) and power settings of a standardized 980-nm diode laser on collateral thermal soft-tissue damage. A total of 108 bovine liver samples were cut with a diode laser at various settings in pulsed and micropulsed mode and histologically assessed to determine the area and depth of carbonization, necrosis and reversible tissue damage, as well as incision depth and width. Incision depth and width and the area and depth of carbonization, necrosis and reversible damage were correlated strongly with cutting speed. The area and depth of reversible damage were correlated with average power. The micropulsed mode produced a smaller zone of carbonization and necrosis and a smaller incision width. Setting the laser parameters in accordance with the absorption characteristics of the tissue reduced collateral thermal tissue damage while maintaining an acceptable cutting ability. Reducing collateral thermal damage from diode laser incisions is clinically relevant for promoting wound healing.

22 citations


Authors

Showing all 514 results

NameH-indexPapersCitations
Jaakko Tuomilehto1151285210682
Massimo Zeviani10447839743
J. Tuomilehto6919719801
Manfred Reichert6769519569
Roland W. Scholz6428915387
Michael Brainin5521544194
Gerald Gartlehner5429515320
Thomas Schrefl5040310867
Charity G. Moore5017911040
Josef Finsterer48147913836
Silvia Miksch442647790
J. Tuomilehto4410711425
Heinrich Schima432495973
Reinhard Bauer402285435
Thomas Groth381865191
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202221
2021176
2020165
2019157
2018144