Rapsomaniki, E;
Shah, A;
Perel, P;
Denaxas, S;
George, J;
Nicholas, O;
Udumyan, R;
... Hemingway, H; + view all
(2014)
Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients.
Eur Heart J
, 35
(13)
pp. 844-852.
10.1093/eurheartj/eht533.
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Abstract
The population with stable coronary artery disease (SCAD) is growing but validated models to guide their clinical management are lacking. We developed and validated prognostic models for all-cause mortality and non-fatal myocardial infarction (MI) or coronary death in SCAD.
Type: | Article |
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Title: | Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/eurheartj/eht533 |
Publisher version: | http://dx.doi.org/10.1093/eurheartj/eht533 |
Additional information: | & The Author 2013. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ oup.com |
Keywords: | CALIBER, Electronic health records, Myocardial infarction, Prognosis, Stable angina, Stable coronary artery disease |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1416359 |
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