19 resultados para Vienna (Austria)


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This chapter argues that the electoral competition between the New Left and the Radical Right is best understood as a cultural divide anchored in different class constituencies. Based on individual-level data from the European Social Survey, we analyze the links between voters' class position, their economic and cultural preferences and their party choice for four small and affluent European countries. We find a striking similarity in the class pattern across countries. Everywhere, the New Left attracts disproportionate support from socio-cultural professionals and presents a clear-cut middle-class profile, whereas the Radical Right is most successful among production and service workers and receives least support from professionals. In general, the Radical Right depends on the votes of lowereducated men and older citizens and has turned into a new type of working-class party. However, its success within the working-class is not due to economic, but to cultural issues. The voters of the Radical Right collide with those of the New Left over a cultural conflict of identity and community - and not over questions of redistribution. A full-grown cleavage has thus emerged in the four countries under study, separating a libertarian-universalistic pole from an authoritarian-communitarian pole and going along with a process of class realignment.

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The updated Vienna Prediction Model for estimating recurrence risk after an unprovoked venous thromboembolism (VTE) has been developed to identify individuals at low risk for VTE recurrence in whom anticoagulation (AC) therapy may be stopped after 3 months. We externally validated the accuracy of the model to predict recurrent VTE in a prospective multicenter cohort of 156 patients aged ≥65 years with acute symptomatic unprovoked VTE who had received 3 to 12 months of AC. Patients with a predicted 12-month risk within the lowest quartile based on the updated Vienna Prediction Model were classified as low risk. The risk of recurrent VTE did not differ between low- vs higher-risk patients at 12 months (13% vs 10%; P = .77) and 24 months (15% vs 17%; P = 1.0). The area under the receiver operating characteristic curve for predicting VTE recurrence was 0.39 (95% confidence interval [CI], 0.25-0.52) at 12 months and 0.43 (95% CI, 0.31-0.54) at 24 months. In conclusion, in elderly patients with unprovoked VTE who have stopped AC, the updated Vienna Prediction Model does not discriminate between patients who develop recurrent VTE and those who do not. This study was registered at www.clinicaltrials.gov as #NCT00973596.