Prospective development and validation of a model to predict heart failure hospitalisation

R M Cubbon; A Woolston; B Adams; C P Gale; M S Gilthorpe; P D Baxter; L C Kearney; B Mercer; A Rajwani; P D Batin; M Kahn; R J Sapsford; K K Witte; M T Kearney

doi:10.1136/heartjnl-2013-305294

Article info

PDF

Heart failure and cardiomyopathies

Original article

Prospective development and validation of a model to predict heart failure hospitalisation

Authors

R M Cubbon Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
A Woolston Centre of Epidemiology and Biostatistics, University of Leeds, Leeds, UK PubMed articles Google scholar articles
B Adams Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
C P Gale Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK Centre of Epidemiology and Biostatistics, University of Leeds, Leeds, UK PubMed articles Google scholar articles
M S Gilthorpe Centre of Epidemiology and Biostatistics, University of Leeds, Leeds, UK PubMed articles Google scholar articles
P D Baxter Centre of Epidemiology and Biostatistics, University of Leeds, Leeds, UK PubMed articles Google scholar articles
L C Kearney Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
B Mercer Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
A Rajwani Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
P D Batin Mid Yorkshire Hospitals NHS Trust, Wakefield, UK PubMed articles Google scholar articles
M Kahn Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
R J Sapsford Leeds Teaching Hospitals NHS Trust, Leeds, UK PubMed articles Google scholar articles
K K Witte Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles
M T Kearney Leeds Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK PubMed articles Google scholar articles

Correspondence to Professor Mark T Kearney, Multidisciplinary Cardiovascular Research Centre, The LIGHT Laboratories, Clarendon Way, Leeds LS2 9JT, UK; m.t.kearney{at}leeds.ac.uk

View Full Text

Citation

Cubbon RM, Woolston A, Adams B, et al

Prospective development and validation of a model to predict heart failure hospitalisation

Heart 2014;100:923-929.

Publication history

Received November 21, 2013
Revised January 13, 2014
Accepted February 22, 2014
First published March 19, 2014.

Online issue publication

July 30, 2016

Article Versions

Previous version (29 July 2016).
You are viewing the most recent version of this article.

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

Log in using your username and password

Main menu

Log in using your username and password

You are here

Authors

Citation

Publication history

Article Versions

Request permissions

Copyright information

Read the full text or download the PDF:

Log in using your username and password