Literature DB >> 19161882

Utility of the Seattle Heart Failure Model in patients with advanced heart failure.

Andreas P Kalogeropoulos1, Vasiliki V Georgiopoulou, Grigorios Giamouzis, Andrew L Smith, Syed A Agha, Sana Waheed, Sonjoy Laskar, John Puskas, Sandra Dunbar, David Vega, Wayne C Levy, Javed Butler.   

Abstract

OBJECTIVES: The aim of this study was to validate the Seattle Heart Failure Model (SHFM) in patients with advanced heart failure (HF).
BACKGROUND: The SHFM was developed primarily from clinical trial databases and extrapolated the benefit of interventions from published data.
METHODS: We evaluated the discrimination and calibration of SHFM in 445 advanced HF patients (age 52 +/- 12 years, 68.5% male, 52.4% white, ejection fraction 18 +/- 8%) referred for cardiac transplantation. The primary end point was death (n = 92), urgent transplantation (n = 14), or left ventricular assist device (LVAD) implantation (n = 3); a secondary analysis was performed on mortality alone.
RESULTS: Patients were receiving optimal therapy (angiotensin-II modulation 92.8%, beta-blockers 91.5%, aldosterone antagonists 46.3%), and 71.0% had an implantable device (defibrillator 30.4%, biventricular pacemaker 3.4%, combined 37.3%). During a median follow-up of 21 months, 109 patients (24.5%) had an event. Although discrimination was adequate (c-statistic >0.7), the SHFM overall underestimated absolute risk (observed vs. predicted event rate: 11.0% vs. 9.2%, 21.0% vs. 16.6%, and 27.9% vs. 22.8% at 1, 2, and 3 years, respectively). Risk underprediction was more prominent in patients with an implantable device. The SHFM had different calibration properties in white versus black patients, leading to net underestimation of absolute risk in blacks. Race-specific recalibration improved the accuracy of predictions. When analysis was restricted to mortality, the SHFM exhibited better performance.
CONCLUSIONS: In patients with advanced HF, the SHFM offers adequate discrimination, but absolute risk is underestimated, especially in blacks and in patients with devices. This is more prominent when including transplantation and LVAD implantation as an end point.

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Year:  2009        PMID: 19161882     DOI: 10.1016/j.jacc.2008.10.023

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  35 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.  Multiple biomarkers for risk prediction in chronic heart failure.

Authors:  Bonnie Ky; Benjamin French; Wayne C Levy; Nancy K Sweitzer; James C Fang; Alan H B Wu; Lee R Goldberg; Mariell Jessup; Thomas P Cappola
Journal:  Circ Heart Fail       Date:  2012-02-23       Impact factor: 8.790

3.  Fatigue, inflammation, and projected mortality in heart failure.

Authors:  Anne M Fink; Rosalia C Gonzalez; Tadeusz Lisowski; Maria Pini; Giamila Fantuzzi; Wayne C Levy; Mariann R Piano
Journal:  J Card Fail       Date:  2012-09       Impact factor: 5.712

4.  Physical and psychological symptom profiling and event-free survival in adults with moderate to advanced heart failure.

Authors:  Christopher S Lee; Jill M Gelow; Quin E Denfeld; James O Mudd; Donna Burgess; Jennifer K Green; Shirin O Hiatt; Corrine Y Jurgens
Journal:  J Cardiovasc Nurs       Date:  2014-07       Impact factor: 2.083

Review 5.  Adult heart transplant: indications and outcomes.

Authors:  M Chadi Alraies; Peter Eckman
Journal:  J Thorac Dis       Date:  2014-08       Impact factor: 2.895

6.  Incremental and independent value of cardiopulmonary exercise test measures and the Seattle Heart Failure Model for prediction of risk in patients with heart failure.

Authors:  Todd Dardas; Yanhong Li; Shelby D Reed; Christopher M O'Connor; David J Whellan; Stephen J Ellis; Kevin A Schulman; William E Kraus; Daniel E Forman; Wayne C Levy
Journal:  J Heart Lung Transplant       Date:  2015-03-26       Impact factor: 10.247

Review 7.  Current indications for transplantation: stratification of severe heart failure and shared decision-making.

Authors:  Darko Vucicevic; Lily Honoris; Federica Raia; Mario Deng
Journal:  Ann Cardiothorac Surg       Date:  2018-01

Review 8.  Patient-centered care for left ventricular assist device therapy: current challenges and future directions.

Authors:  Khadijah Breathett; Larry A Allen; Amrut V Ambardekar
Journal:  Curr Opin Cardiol       Date:  2016-05       Impact factor: 2.161

9.  Risk factors for adverse outcomes by left ventricular ejection fraction in a contemporary heart failure population.

Authors:  Larry A Allen; David J Magid; Jerry H Gurwitz; David H Smith; Robert J Goldberg; Jane Saczynski; Micah L Thorp; Grace Hsu; Sue Hee Sung; Alan S Go
Journal:  Circ Heart Fail       Date:  2013-05-24       Impact factor: 8.790

10.  Is cardiopulmonary exercise testing essential to indicate ventricular assist device implantation in patients with INTERMACS profile 4-7?

Authors:  Teruhiko Imamura; Koichiro Kinugawa; Daisuke Nitta; Osamu Kinoshita; Kan Nawata; Minoru Ono
Journal:  J Artif Organs       Date:  2016-03-18       Impact factor: 1.731

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