Literature DB >> 20798278

Application of the Seattle Heart Failure Model in ambulatory patients presented to an advanced heart failure therapeutics committee.

Eiran Z Gorodeski1, Eric C Chu, Chen H Chow, Wayne C Levy, Eileen Hsich, Randall C Starling.   

Abstract

BACKGROUND: We sought to assess the predictive value of the Seattle Heart Failure Model (SHFM) when applied to ambulatory patients with advanced heart failure (HF) presented to an advanced HF therapeutics committee at a tertiary care US institution. METHODS AND
RESULTS: We evaluated model discrimination and calibration in 215 consecutive ambulatory patients who were presented to the Cleveland Clinic advanced HF therapeutics committee between 2004 to 2007 for evaluation for advanced options including transplantation and ventricular assist device (VAD). Analyses were stratified by committee decision (not listed versus listed United Network of Organ Sharing [UNOS] Status 2). Eighty-five percent had 1 or no missing SHFM variables. The primary outcome was a composite of all-cause mortality, VAD, or urgent (UNOS Status 1) transplantation. During a median follow-up of 24 months, 68 died, 18 received VAD support, and 81 underwent heart transplantation. Discrimination was modest both for those not listed (c-index, 0.683 at 1 year and 0.648 at 2 years), and for those listed UNOS status 2 (c-index, 0.629 at 1 year and 0.628 at 2 years). Calibration was acceptable among those patients not listed for heart transplantation but with substantial underestimation of risk (ie, overestimation of survival free of VAD or urgent transplantation) among UNOS status 2 patients.
CONCLUSIONS: In ambulatory patients presented to an advanced HF therapeutics committee for evaluation for heart transplantation, the SHFM offers modest discrimination of risk for the primary composite outcome of mortality, VAD, or urgent transplantation, with underestimation of risk in those patients listed for nonurgent transplantation. Interpretation of risk prediction by the SHFM in this patient population must be done with caution.

Entities:  

Mesh:

Year:  2010        PMID: 20798278     DOI: 10.1161/CIRCHEARTFAILURE.110.944280

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  22 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

Review 2.  Defining Ambulatory Advanced Heart Failure: MedaMACS and Beyond.

Authors:  Garrick C Stewart; Amrut V Ambardekar; Michelle M Kittleson
Journal:  Curr Heart Fail Rep       Date:  2017-12

3.  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 4.  Adult heart transplant: indications and outcomes.

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

5.  Discordant Perceptions of Prognosis and Treatment Options Between Physicians and Patients With Advanced Heart Failure.

Authors:  Amrut V Ambardekar; Jennifer T Thibodeau; Adam D DeVore; Michelle M Kittleson; Rhondalyn C Forde-McLean; Maryse Palardy; Maria M Mountis; Linda Cadaret; Jeffrey J Teuteberg; Salpy V Pamboukian; Rongbing Xie; Lynne W Stevenson; Garrick C Stewart
Journal:  JACC Heart Fail       Date:  2017-08-16       Impact factor: 12.035

6.  Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction: the HF-ACTION predictive risk score model.

Authors:  Christopher M O'Connor; David J Whellan; Daniel Wojdyla; Eric Leifer; Robert M Clare; Stephen J Ellis; Lawrence J Fine; Jerome L Fleg; Faiez Zannad; Steven J Keteyian; Dalane W Kitzman; William E Kraus; David Rendall; Ileana L Piña; Lawton S Cooper; Mona Fiuzat; Kerry L Lee
Journal:  Circ Heart Fail       Date:  2011-11-23       Impact factor: 8.790

7.  High early event rates in patients with questionable eligibility for advanced heart failure therapies: Results from the Medical Arm of Mechanically Assisted Circulatory Support (Medamacs) Registry.

Authors:  Amrut V Ambardekar; Rhondalyn C Forde-McLean; Michelle M Kittleson; Garrick C Stewart; Maryse Palardy; Jennifer T Thibodeau; Adam D DeVore; Maria M Mountis; Linda Cadaret; Jeffrey J Teuteberg; Salpy V Pamboukian; Ryan S Cantor; JoAnn Lindenfeld
Journal:  J Heart Lung Transplant       Date:  2016-01-18       Impact factor: 10.247

8.  Continuously Updated Estimation of Heart Transplant Waitlist Mortality.

Authors:  Eugene H Blackstone; Jeevanantham Rajeswaran; Vincent B Cruz; Eileen M Hsich; Marijan Koprivanac; Nicholas G Smedira; Katherine J Hoercher; Lucy Thuita; Randall C Starling
Journal:  J Am Coll Cardiol       Date:  2018-08-07       Impact factor: 24.094

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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