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Träfflista för sökning "(WFRF:(Davidson Sean M.)) srt2:(2015-2019)"

Search: (WFRF:(Davidson Sean M.)) > (2015-2019)

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  • 2019
  • Journal article (peer-reviewed)
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2.
  • Pennells, Lisa, et al. (author)
  • Equalization of four cardiovascular risk algorithms after systematic recalibration : individual-participant meta-analysis of 86 prospective studies
  • 2019
  • In: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 40:7, s. 621-
  • Journal article (peer-reviewed)abstract
    • Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after ‘recalibration’, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied.Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at ‘high’ 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29–39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22–24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44–51 such individuals using original algorithms, in contrast to 37–39 individuals with recalibrated algorithms.Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
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3.
  • Kontush, Anatol, et al. (author)
  • Structure of HDL : particle subclasses and molecular components
  • 2015
  • In: High Density Lipoproteins – from biological understanding to clinical exploitation. - Cham : Springer. - 9783319096643 - 9783319096650 ; , s. 3-51
  • Book chapter (peer-reviewed)abstract
    • A molecular understanding of high-density lipoprotein (HDL) will allow a more complete grasp of its interactions with key plasma remodelling factors and with cell-surface proteins that mediate HDL assembly and clearance. However, these particles are notoriously heterogeneous in terms of almost every physical, chemical and biological property. Furthermore, HDL particles have not lent themselves to high-resolution structural study through mainstream techniques like nuclear magnetic resonance and X-ray crystallography; investigators have therefore had to use a series of lower resolution methods to derive a general structural understanding of these enigmatic particles. This chapter reviews current knowledge of the composition, structure and heterogeneity of human plasma HDL. The multifaceted composition of the HDL proteome, the multiple major protein isoforms involving translational and posttranslational modifications, the rapidly expanding knowledge of the HDL lipidome, the highly complex world of HDL subclasses and putative models of HDL particle structure are extensively discussed. A brief history of structural studies of both plasma-derived and recombinant forms of HDL is presented with a focus on detailed structural models that have been derived from a range of techniques spanning mass spectrometry to molecular dynamics.
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  • Result 1-3 of 3
Type of publication
journal article (2)
book chapter (1)
Type of content
peer-reviewed (3)
Author/Editor
Engström, Gunnar (1)
Kelly, Daniel (1)
Bengtsson-Palme, Joh ... (1)
Nilsson, Henrik (1)
Khaw, Kay-Tee (1)
Wareham, Nick (1)
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Kelly, Ryan (1)
Li, Ying (1)
Moore, Matthew D. (1)
Salomaa, Veikko (1)
Liu, Fang (1)
Zhang, Yao (1)
Jin, Yi (1)
Raza, Ali (1)
Rafiq, Muhammad (1)
Zhang, Kai (1)
Khatlani, T (1)
Kahan, Thomas (1)
Ingelsson, Martin (1)
Melander, Olle (1)
Nilsson, Peter M (1)
Sörelius, Karl, 1981 ... (1)
Cooper, Cyrus (1)
Davey Smith, George (1)
Batra, Jyotsna (1)
Nordestgaard, Borge ... (1)
Brenner, Hermann (1)
Roobol, Monique J (1)
Sattar, Naveed (1)
Rosengren, Annika, 1 ... (1)
Hedblad, Bo (1)
Backman, Lars (1)
Yan, Hong (1)
Björkelund, Cecilia, ... (1)
Schmidt, Axel (1)
Geleijnse, Johanna M ... (1)
Gillum, Richard F. (1)
Lorkowski, Stefan (1)
Thrift, Amanda G. (1)
Zhang, Wei (1)
Sundström, Johan, Pr ... (1)
Hammerschmidt, Sven (1)
Patil, Chandrashekha ... (1)
Arndt, Volker (1)
Wang, Jun (1)
Panico, Salvatore (1)
Pollesello, Piero (1)
Conesa, Ana (1)
El-Esawi, Mohamed A. (1)
Zhang, Weijia (1)
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University
University of Gothenburg (2)
Uppsala University (2)
Lund University (2)
Halmstad University (1)
Stockholm University (1)
Linköping University (1)
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Chalmers University of Technology (1)
Karolinska Institutet (1)
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Language
English (3)
Research subject (UKÄ/SCB)
Natural sciences (2)
Medical and Health Sciences (2)

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