Predicting survival in heart failure : a risk score based on 39 372 patients from 30 studies
Pocock, Stuart J.; Ariti, Cono A.; McMurray, John J.V.; Maggioni, A.P.; Køber, Lars; Squire, I.B.; Swedberg, Karl; Dobson, Joanna; Poppe, K.K.; Whalley, Gillian; Doughty, Robert N.
Date
2012-10-24Citation:
Pocock, S.J. (2012) Predicting survival in heart failure : a risk score based on 39 372 patients from 30 studies. European Heart Journal 24 Ocotober 2012Permanent link to Research Bank record:
https://hdl.handle.net/10652/2593Abstract
Aims: Using a large international database from multiple cohort studies, the aim is to create a generalizable easily used risk score for mortality in patients with heart failure (HF). Methods and results: Using a large international database from multiple cohort studies, the aim is to create a generalizable easily used risk score for mortality in patients with heart failure (HF). In patients with HF of both reduced and preserved EF, the influences of readily available predictors of mortality can be quantified in an integer score accessible by an easy-to-use website www.heartfailurerisk.org. The score has the potential for widespread implementation in a clinical setting