Literature DB >> 19285613

Can the Seattle heart failure model be used to risk-stratify heart failure patients for potential left ventricular assist device therapy?

Wayne C Levy1, Dariush Mozaffarian, David T Linker, David J Farrar, Leslie W Miller.   

Abstract

BACKGROUND: According to results of the REMATCH trial, left ventricular assist device therapy in patients with severe heart failure has resulted in a 48% reduction in mortality. A decision tool will be necessary to aid in the selection of patients for destination left ventricular assist devices (LVADs) as the technology progresses for implantation in ambulatory Stage D heart failure patients. The purpose of this analysis was to determine whether the Seattle Heart Failure Model (SHFM) can be used to risk-stratify heart failure patients for potential LVAD therapy.
METHODS: The SHFM was applied to REMATCH patients with the prospective addition of inotropic agents and intra-aortic balloon pump (IABP) +/- ventilator.
RESULTS: The SHFM was highly predictive of survival (p = 0.0004). One-year SHFM-predicted survival was similar to actual survival for both the REMATCH medical (30% vs 28%) and LVAD (49% vs 52%) groups. The estimated 1-year survival with medical therapy for patients in REMATCH was 30 +/- 21%, but with a range of 0% to 74%. The 1- and 2-year estimated survival was </=50% for 81% and 98% of patients, respectively. There was no evidence that the benefit of the LVAD varied in the lower vs higher risk patients.
CONCLUSIONS: The SHFM can be used to risk-stratify end-stage heart failure patients, provided known markers of increased risk are included such inotrope use and IABP +/- ventilator support. The SHFM may facilitate identification of high-risk patients to evaluate for potential LVAD implantation by providing an estimate of 1-year survival with medical therapy.

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Year:  2009        PMID: 19285613     DOI: 10.1016/j.healun.2008.12.015

Source DB:  PubMed          Journal:  J Heart Lung Transplant        ISSN: 1053-2498            Impact factor:   10.247


  15 in total

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2.  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

Review 3.  [Improvements in implantable mechanical circulatory support systems : literature overview and update].

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Authors:  Omar F Abouezzeddine; Margaret M Redfield
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5.  Heart failure prognostic models: why bother?

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Journal:  Circ Heart Fail       Date:  2012-01       Impact factor: 8.790

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

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Review 7.  Left ventricular assist device patient selection: do risk scores help?

Authors:  Ashwin K Ravichandran; Jennifer Cowger
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8.  From statistical significance to clinical relevance: A simple algorithm to integrate brain natriuretic peptide and the Seattle Heart Failure Model for risk stratification in heart failure.

Authors:  Omar F AbouEzzeddine; Benjamin French; Sultan A Mirzoyev; Allan S Jaffe; Wayne C Levy; James C Fang; Nancy K Sweitzer; Thomas P Cappola; Margaret M Redfield
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Review 10.  [Rise of the machines? Left ventricular assist devices for treatment of severe heart failure].

Authors:  A Ujeyl; M Krüger
Journal:  Herz       Date:  2015-11       Impact factor: 1.443

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