Literature DB >> 22516524

Performance of the Seattle Heart Failure Model in implantable defibrillator patients treated with cardiac resynchronization therapy.

Tim Smith1, Wayne C Levy, Beat A Schaer, Aggie H H M Balk, Christian Sticherling, Luc Jordaens, Dominic A M J Theuns.   

Abstract

The Seattle Heart Failure Model (SHFM) is a validated multivariate risk prediction model for mortality in patients with heart failure, using widely available clinical variables. The aim of this study was to assess the performance of the SHFM when applied to patients with heart failure who received cardiac resynchronization therapy devices with defibrillation. A total of 413 patients were identified from 2 prospective implantable cardioverter-defibrillator registries who received cardiac resynchronization therapy devices with defibrillation for the primary prevention of sudden death. Baseline laboratory and clinical data were entered in the SHFM to calculate predicted survival. The end point was all-cause mortality. During a median follow-up period of 2.8 years, 78 patients died and 9 underwent heart transplantation. Observed versus predicted 5-year mortality rates were 11.6% versus 11.4%, 21.5% versus 22.1%, and 41.4% versus 46.1% by ascending tertile of Seattle Heart Failure Score, respectively. No systematic or substantial errors of risk estimation were observed. Discrimination was excellent; the C-statistic ranged from 0.78 at 1-year follow-up to 0.70 at 5-year follow-up, and the Hosmer-Lemeshow chi-square statistic was 0.87 (p = 0.65). In conclusion, in patients with heart failure who received cardiac resynchronization therapy devices with defibrillation, the SHFM offers adequate discrimination of risk for all-cause mortality and estimation of mortality risk without substantial or systematic errors.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22516524     DOI: 10.1016/j.amjcard.2012.03.038

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  3 in total

1.  An Appraisal of Biomarker-Based Risk-Scoring Models in Chronic Heart Failure: Which One Is Best?

Authors:  Barbara S Doumouras; Douglas S Lee; Wayne C Levy; Ana C Alba
Journal:  Curr Heart Fail Rep       Date:  2018-02

2.  Clinical risk profile score predicts all cause mortality but not implantable cardioverter defibrillator intervention rate in a large unselected cohort of patients with congestive heart failure.

Authors:  Johanna Sjöblom; Rasmus Borgquist; Fredrik Gadler; Torbjörn Kalm; Lina Ljung; Mårten Rosenqvist; Viveka Frykman; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-11-01       Impact factor: 1.468

3.  Rationale and design of the EU-CERT-ICD prospective study: comparative effectiveness of prophylactic ICD implantation.

Authors:  Markus Zabel; Christian Sticherling; Rik Willems; Andrzej Lubinski; Axel Bauer; Leonard Bergau; Frieder Braunschweig; Josep Brugada; Sandro Brusich; David Conen; Iwona Cygankiewicz; Panagiota Flevari; Milos Taborsky; Jim Hansen; Gerd Hasenfuß; Robert Hatala; Heikki V Huikuri; Svetoslav Iovev; Stefan Kääb; Gabriela Kaliska; Jaroslaw D Kasprzak; Lars Lüthje; Marek Malik; Tomas Novotny; Nikola Pavlović; Georg Schmidt; Tchavdar Shalganov; Rajeeva Sritharan; Simon Schlögl; Janko Szavits Nossan; Vassil Traykov; Anton E Tuinenburg; Vasil Velchev; Marc A Vos; Stefan N Willich; Tim Friede; Jesper Hastrup Svendsen; Béla Merkely
Journal:  ESC Heart Fail       Date:  2018-10-09
  3 in total

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