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Circulation. 2006;113:1424-1433
Published online before print March 13, 2006, doi: 10.1161/CIRCULATIONAHA.105.584102
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(Circulation. 2006;113:1424-1433.)
© 2006 American Heart Association, Inc.


Heart Failure

The Seattle Heart Failure Model

Prediction of Survival in Heart Failure

Wayne C. Levy, MD; Dariush Mozaffarian, MD, MPH; David T. Linker, MD; Santosh C. Sutradhar, PhD; Stefan D. Anker, MD; Anne B. Cropp, PharmD; Inder Anand, MD; Aldo Maggioni, MD; Paul Burton, MBBS, PhD; Mark D. Sullivan, MD, PhD; Bertram Pitt, MD; Philip A. Poole-Wilson, MD; Douglas L. Mann, MD; Milton Packer, MD

From the University of Washington, Seattle (W.C.L., D.T.L., M.D.S.); Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, Mass (D.M.); Merck Research Laboratories, Blue Bell, Pa (S.C.S.); Imperial College School of Medicine, London, UK (S.D.A., P.A.P.-W.); Pfizer Laboratories, Groton, Conn (A.B.C.); University of Minnesota, Minneapolis (I.A.); Italian Association of Hospital Cardiologists Research Center, Florence, Italy (A.M.); Amgen Inc, Thousand Oaks, Calif (P.B.); University of Michigan, Ann Arbor (B.P.); Baylor College of Medicine and Houston Veterans Affairs, Houston, Tex (D.L.M.); and University of Texas Southwestern Medical Center at Dallas (M.P.).

Correspondence to Wayne C. Levy, MD, Division of Cardiology, University of Washington, Box 356422, 1959 NE Pacific St, Seattle, WA 98177. E-mail levywc{at}u.washington.edu

Received August 30, 2005; revision received December 12, 2005; accepted January 13, 2006.

Background— Heart failure has an annual mortality rate ranging from 5% to 75%. The purpose of the study was to develop and validate a multivariate risk model to predict 1-, 2-, and 3-year survival in heart failure patients with the use of easily obtainable characteristics relating to clinical status, therapy (pharmacological as well as devices), and laboratory parameters.

Methods and Results— The Seattle Heart Failure Model was derived in a cohort of 1125 heart failure patients with the use of a multivariate Cox model. For medications and devices not available in the derivation database, hazard ratios were estimated from published literature. The model was prospectively validated in 5 additional cohorts totaling 9942 heart failure patients and 17 307 person-years of follow-up. The accuracy of the model was excellent, with predicted versus actual 1-year survival rates of 73.4% versus 74.3% in the derivation cohort and 90.5% versus 88.5%, 86.5% versus 86.5%, 83.8% versus 83.3%, 90.9% versus 91.0%, and 89.6% versus 86.7% in the 5 validation cohorts. For the lowest score, the 2-year survival was 92.8% compared with 88.7%, 77.8%, 58.1%, 29.5%, and 10.8% for scores of 0, 1, 2, 3, and 4, respectively. The overall receiver operating characteristic area under the curve was 0.729 (95% CI, 0.714 to 0.744). The model also allowed estimation of the benefit of adding medications or devices to an individual patient’s therapeutic regimen.

Conclusions— The Seattle Heart Failure Model provides an accurate estimate of 1-, 2-, and 3-year survival with the use of easily obtained clinical, pharmacological, device, and laboratory characteristics.


 

CLINICAL PERSPECTIVE




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J. J. Thune, J. Signorovitch, L. Kober, E. J. Velazquez, J. J.V. McMurray, R. M. Califf, A. P. Maggioni, J. L. Rouleau, J. Howlett, S. Zelenkofske, et al.
Response to The J-Point Revisited
Hypertension, May 1, 2008; 51(5): e35 - e35.
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Eur J Heart FailHome page
M. S. Nieminen and V.-P. Harjola
Heart failure in the elderly: How risky is it to be discharged?
Eur J Heart Fail, March 1, 2008; 10(3): 222 - 223.
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Eur J Heart FailHome page
W. C. Levy
Can B-type natriuretic peptides replace heart failure risk models?
Eur J Heart Fail, March 1, 2008; 10(3): 224 - 225.
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Eur J Heart FailHome page
J. A. Ezekowitz, J. A. Bakal, P. Kaul, C. M. Westerhout, and P. W. Armstrong
Acute heart failure in the emergency department: Short and long-term outcomes of elderly patients with heart failure
Eur J Heart Fail, March 1, 2008; 10(3): 308 - 314.
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Eur J Heart FailHome page
R. Pfister, H. Diedrichs, A. Schiedermair, S. Rosenkranz, M. Hellmich, E. Erdmann, and C. A. Schneider
Prognostic impact of NT-proBNP and renal function in comparison to contemporary multi-marker risk scores in heart failure patients
Eur J Heart Fail, March 1, 2008; 10(3): 315 - 320.
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J Am Coll CardiolHome page
W. C. Levy
Anemia in heart failure: marker or mediator of adverse prognosis?
J. Am. Coll. Cardiol., February 5, 2008; 51(5): 577 - 578.
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Eur J Heart FailHome page
L. Ingle
Prognostic value and diagnostic potential of cardiopulmonary exercise testing in patients with chronic heart failure
Eur J Heart Fail, February 1, 2008; 10(2): 112 - 118.
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Eur J Heart FailHome page
M. Metra, S. Nodari, G. Parrinello, T. Bordonali, S. Bugatti, R. Danesi, B. Fontanella, C. Lombardi, P. Milani, G. Verzura, et al.
Worsening renal function in patients hospitalised for acute heart failure: Clinical implications and prognostic significance
Eur J Heart Fail, February 1, 2008; 10(2): 188 - 195.
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Eur J Heart FailHome page
O. Milo-Cotter, G. Cotter, B. D. Weatherley, K. F. Adams, E. Kaluski, N. Uriel, C. M. O'Connor, and G. M. Felker
Hyponatraemia in acute heart failure is a marker of increased mortality but not when associated with hyperglycaemia
Eur J Heart Fail, February 1, 2008; 10(2): 196 - 200.
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ANN INTERN MEDHome page
N. E. Goldstein and D. Fischberg
Update in Palliative Medicine
Ann Intern Med, January 15, 2008; 148(2): 135 - 140.
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HypertensionHome page
J. J. Thune, J. Signorovitch, L. Kober, E. J. Velazquez, J. J.V. McMurray, R. M. Califf, A. P. Maggioni, J. L. Rouleau, J. Howlett, S. Zelenkofske, et al.
Effect of Antecedent Hypertension and Follow-Up Blood Pressure on Outcomes After High-Risk Myocardial Infarction
Hypertension, January 1, 2008; 51(1): 48 - 54.
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Arch Intern MedHome page
R. S. Braithwaite, J. Concato, C. C. Chang, M. S. Roberts, and A. C. Justice
A Framework for Tailoring Clinical Guidelines to Comorbidity at the Point of Care
Arch Intern Med, November 26, 2007; 167(21): 2361 - 2365.
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J Am Coll CardiolHome page
A. Sandek, J. Bauditz, A. Swidsinski, S. Buhner, J. Weber-Eibel, S. von Haehling, W. Schroedl, T. Karhausen, W. Doehner, M. Rauchhaus, et al.
Altered Intestinal Function in Patients With Chronic Heart Failure
J. Am. Coll. Cardiol., October 16, 2007; 50(16): 1561 - 1569.
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Arch Intern MedHome page
P. J. Hauptman, S. J. Goodlin, M. Lopatin, M. R. Costanzo, G. C. Fonarow, C. W. Yancy, and for the ADHERE Scientific Advisory Committee and A
Characteristics of Patients Hospitalized With Acute Decompensated Heart Failure Who Are Referred for Hospice Care
Arch Intern Med, October 8, 2007; 167(18): 1990 - 1997.
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CirculationHome page
T. J. Wang
Significance of Circulating Troponins in Heart Failure: If These Walls Could Talk
Circulation, September 11, 2007; 116(11): 1217 - 1220.
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HeartHome page
A. Mosterd and A. W Hoes
Clinical epidemiology of heart failure
Heart, September 1, 2007; 93(9): 1137 - 1146.
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J Am Coll CardiolHome page
L. W. Stevenson and G. Couper
On the Fledgling Field of Mechanical Circulatory Support
J. Am. Coll. Cardiol., August 21, 2007; 50(8): 748 - 751.
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CirculationHome page
K. Lietz, J. W. Long, A. G. Kfoury, M. S. Slaughter, M. A. Silver, C. A. Milano, J. G. Rogers, Y. Naka, D. Mancini, and L. W. Miller
Outcomes of Left Ventricular Assist Device Implantation as Destination Therapy in the Post-REMATCH Era: Implications for Patient Selection
Circulation, July 31, 2007; 116(5): 497 - 505.
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CirculationHome page
L. R. Goldberg and M. Jessup
A Time to be Born and a Time to Die
Circulation, July 24, 2007; 116(4): 360 - 362.
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CirculationHome page
D. Mozaffarian, S. D. Anker, I. Anand, D. T. Linker, M. D. Sullivan, J. G.F. Cleland, P. E. Carson, A. P. Maggioni, D. L. Mann, B. Pitt, et al.
Prediction of Mode of Death in Heart Failure: The Seattle Heart Failure Model
Circulation, July 24, 2007; 116(4): 392 - 398.
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J Am Coll CardiolHome page
G. M. Felker, L. A. Allen, S. J. Pocock, L. K. Shaw, J. J.V. McMurray, M. A. Pfeffer, K. Swedberg, D. Wang, S. Yusuf, E. L. Michelson, et al.
Red Cell Distribution Width as a Novel Prognostic Marker in Heart Failure: Data From the CHARM Program and the Duke Databank
J. Am. Coll. Cardiol., July 3, 2007; 50(1): 40 - 47.
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Eur J Heart FailHome page
M. Metra, P. Ponikowski, K. Dickstein, J. J.V. McMurray, A. Gavazzi, C.-H. Bergh, A. G. Fraser, T. Jaarsma, A. Pitsis, P. Mohacsi, et al.
Advanced chronic heart failure: A position statement from the Study Group on Advanced Heart Failure of the Heart Failure Association of the European Society of Cardiology
Eur J Heart Fail, June 1, 2007; 9(6-7): 684 - 694.
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J Am Coll CardiolHome page
T. H. Le Jemtel and S. Jelic
Seek and Treat Obstructive Sleep Apnea in Heart Failure
J. Am. Coll. Cardiol., April 17, 2007; 49(15): 1632 - 1633.
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J Am Coll CardiolHome page
J. Butler and A. Leon
The Elusive Scourge of Sudden Cardiac Death: Is Rational Decision Making Possible? Should There Be Standards of Risks and Predictions in Medicine?
J. Am. Coll. Cardiol., April 3, 2007; 49(13): 1434 - 1435.
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J Am Coll CardiolHome page
I. Goldenberg, A. J. Moss, S. McNitt, W. Zareba, W. J. Hall, M. L. Andrews, and for the MADIT-II Investigators
Inverse Relationship of Blood Pressure Levels to Sudden Cardiac Mortality and Benefit of the Implantable Cardioverter-Defibrillator in Patients With Ischemic Left Ventricular Dysfunction
J. Am. Coll. Cardiol., April 3, 2007; 49(13): 1427 - 1433.
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Arch Intern MedHome page
B. C. Huynh, A. Rovner, and M. W. Rich
Long-term Survival in Elderly Patients Hospitalized for Heart Failure: 14-Year Follow-up From a Prospective Randomized Trial.
Arch Intern Med, September 25, 2006; 166(17): 1892 - 1898.
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Journal Watch CardiologyHome page
Tool for Predicting Survival in Heart Failure
Journal Watch Cardiology, May 4, 2006; 2006(504): 4 - 4.
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