| Title |
The first prognostic model for stroke and death in patients with systolic heart failure
|
|---|---|
| Published in |
Journal of Cardiology, November 2015
|
| DOI | 10.1016/j.jjcc.2015.09.014 |
| Pubmed ID | |
| Authors |
Ronald S. Freudenberger, Bin Cheng, Douglas L. Mann, John L.P. Thompson, Ralph L. Sacco, Richard Buchsbaum, Alexandra Sanford, Patrick M. Pullicino, Bruce Levin, John R. Teerlink, Susan Graham, J.P. Mohr, Arthur J. Labovitz, Marco R. Di Tullio, Gregory Y.H. Lip, Conrado J. Estol, Dirk J. Lok, Piotr Ponikowski, Stefan D. Anker, Shunichi Homma, for the WARCEF Investigators |
| Abstract |
Patients with systolic heart failure (HF) are at increased risk of both ischemic stroke and death. Currently, no risk scores are available to identify HF patients at high risk of stroke or death. The Warfarin vs. Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) trial studied 2305 HF patients, in sinus rhythm, followed for up to 6 years (3.5±1.5 years). This trial showed no overall difference in those treated with warfarin vs aspirin with regard to death or stroke. The present study develops the first prognostic model to identify patients at higher risk of stroke or death based on their overall risk profile. A scoring algorithm using 8 readily obtainable clinical characteristics as predictors, age, gender, hemoglobin, blood urea nitrogen, ejection fraction, diastolic blood pressure, diabetes status, and prior stroke or transient ischemic attack (C-index=0.65, 95% CI: 0.613-0.681), was developed. It was validated internally using a bootstrap method. In predicting 1-year survival for death alone, our 8-predictor model had an AUC of 0.63 (95% CI: 0.579-0.678) while the 14-predictor Seattle model had an AUC of 0.72. The Seattle model did not report stroke. This novel prognostic model predicts the overall risk of ischemic stroke or death for HF patients. This model compares favorably for death with the Seattle model and has the added utility of including stroke as an endpoint. Use of this model will help identify those patients in need of more intensive monitoring and therapy and may help identify appropriate populations for trials of new therapies. http://www.Clinicatrials.govNCT00041938. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 106 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 14% |
| Student > Master | 11 | 10% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Student > Ph. D. Student | 5 | 5% |
| Other | 19 | 18% |
| Unknown | 38 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 29% |
| Nursing and Health Professions | 11 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Neuroscience | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 43 | 40% |