SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Weidinger T.) "

Search: WFRF:(Weidinger T.)

  • Result 1-10 of 88
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  •  
3.
  •  
4.
  •  
5.
  •  
6.
  •  
7.
  •  
8.
  •  
9.
  • Hageman, S., et al. (author)
  • SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
  • 2021
  • In: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 42:25, s. 2439-2454
  • Journal article (peer-reviewed)abstract
    • Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
  •  
10.
  • Aliu, E., et al. (author)
  • Long-term TeV and X-ray Observations of the Gamma-ray Binary HESS J0632+057
  • 2014
  • In: Astrophysical Journal. - 0004-637X .- 1538-4357. ; 780:2
  • Journal article (peer-reviewed)abstract
    • HESS J0632+057 is the only gamma-ray binary known so far whose position in the sky allows observations with ground-based observatories in both thenorthern and southern hemispheres. Here we report on long-term observations of HESS J0632+057 conducted with the Very Energetic Radiation Imaging Telescope Array System and High Energy Stereoscopic System Cherenkov telescopes and the X-ray satellite Swift, spanning a time range from 2004 to 2012 and covering most of the system's orbit. The very-high-energy (VHE) emission is found to be variable and is correlated with that at X-ray energies. An orbital period of 315(-4)(+6) days is derived from the X-ray data set, which is compatible with previous results, P = (321 +/- 5) days. The VHE light curve shows a distinct maximum at orbital phases close to 0.3, or about 100 days after periastron passage, which coincides with the periodic enhancement of the X-rayemission. Furthermore, the analysis of the TeV data shows for the first time a statistically significant (> 6.5 sigma) detection at orbital phases 0.6-0.9. Theobtained gamma-ray and X-ray light curves and the correlation of the source emission at these two energy bands are discussed in the context of the recent ephemeris obtained for the system. Our results are compared to those reported for other gamma-ray binaries.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-10 of 88
Type of publication
journal article (87)
conference paper (1)
Type of content
peer-reviewed (80)
other academic/artistic (8)
Author/Editor
Lohse, T. (28)
Wagner, P. (28)
White, R. (28)
Valerius, K. (28)
Oakes, L. (28)
Heinzelmann, G. (28)
show more...
Katz, U. (28)
Casanova, S. (28)
Hervet, O. (28)
Bulik, T. (28)
Edwards, T. (28)
Klepser, S. (28)
Bolmont, J (28)
Tluczykont, M (28)
Abramowski, A. (28)
Aharonian, F. (28)
Akhperjanian, A. G. (28)
Balzer, A. (28)
Boisson, C. (28)
Bordas, P. (28)
Brun, F. (28)
Brun, P. (28)
Chaves, R. C. G. (28)
Colafrancesco, S. (28)
Cologna, G. (28)
Domainko, W. (28)
Dutson, K. (28)
Dyks, J. (28)
Egberts, K. (28)
Eger, P. (28)
Fegan, S. (28)
Fontaine, G. (28)
Gajdus, M. (28)
Gallant, Y. A. (28)
Garrigoux, T. (28)
Giebels, B. (28)
Glicenstein, J. F. (28)
Grondin, M. -H (28)
Hahn, J. (28)
Henri, G. (28)
Hermann, G. (28)
Hinton, J. A. (28)
Hofmann, W. (28)
Holler, M. (28)
Horns, D. (28)
Jacholkowska, A. (28)
Jamrozy, M. (28)
Janiak, M. (28)
Jankowsky, F. (28)
Kastendieck, M. A. (28)
show less...
University
Karolinska Institutet (41)
Stockholm University (27)
Linnaeus University (27)
Uppsala University (11)
Lund University (9)
Linköping University (6)
show more...
University of Gothenburg (5)
Halmstad University (2)
Umeå University (1)
Örebro University (1)
Karlstad University (1)
show less...
Language
English (88)
Research subject (UKÄ/SCB)
Medical and Health Sciences (30)
Natural sciences (29)
Engineering and Technology (1)
Agricultural Sciences (1)

Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view