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The Seattle Heart Failure Model: Prediction of Survival in Heart Failure

Open access
Levy, Wayne C., Mozaffarian, Dariush, Linker, David T., Sutradhar, Santosh C., Anker, Stefan D., Cropp, Anne B., Anand, Inder, Maggioni, Aldo, Burton, Paul, Sullivan, Mark D., Pitt, Bertram, Poole-Wilson, Philip A., Mann, Douglas L., Packer, Milton·2006·Circulation

Abstract

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.

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Crossref · 10.1161/circulationaha.105.584102

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Metadata

Authors
Levy, W. C., Mozaffarian, D., Linker, D. T., Sutradhar, S. C., Anker, S. D., Cropp, A. B., Anand, I., Maggioni, A., Burton, P., Sullivan, M. D., Pitt, B., Poole-Wilson, P. A., Mann, D. L., & Packer, M.
Venue
Circulation
Published
2006-03-21
Volume
113
Issue
11
Pages
1424-1433
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2103679597
Cited by
2,021
References
6
FWCI
48.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Seattle Heart Failure Model: Prediction of Survival in Heart Failure. https://app.cochat.ai/papers/10.1161/circulationaha.105.584102
The paper
Levy, W. C., Mozaffarian, D., Linker, D. T., Sutradhar, S. C., Anker, S. D., Cropp, A. B., Anand, I., Maggioni, A., Burton, P., Sullivan, M. D., Pitt, B., Poole-Wilson, P. A., Mann, D. L., & Packer, M. (2006). The Seattle Heart Failure Model: Prediction of Survival in Heart Failure. Circulation. https://doi.org/10.1161/circulationaha.105.584102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.