Presented at the Society for Academic Emergency Medicine annual meeting, Boston, MA, June 2011.
Original Research Contribution
A Risk Scoring System to Identify Emergency Department Patients With Heart Failure at High Risk for Serious Adverse Events
Article first published online: 13 JAN 2013
© 2013 by the Society for Academic Emergency Medicine
Academic Emergency Medicine
Volume 20, Issue 1, pages 17–26, January 2013
How to Cite
Stiell, I. G., Clement, C. M., Brison, R. J., Rowe, B. H., Borgundvaag, B., Aaron, S. D., Lang, E., Calder, L. A., Perry, J. J., Forster, A. J., Wells, G. A. (2013), A Risk Scoring System to Identify Emergency Department Patients With Heart Failure at High Risk for Serious Adverse Events. Academic Emergency Medicine, 20: 17–26. doi: 10.1111/acem.12056
The authors acknowledge peer-reviewed funding from the Canadian Institutes of Health Research (MOP 82742). Dr. Stiell holds a Distinguished Professorship and University Health Research Chair from the University of Ottawa. Dr. Rowe is supported by the 21st Century Canada Research Chairs program through the Government of Canada (Ottawa, ON). Dr. Perry holds a New Investigator Award from the Canadian Institutes of Health Research and a Clinical Research Chair from the University of Ottawa. Dr. Aaron holds a Clinical Research Chair from the University of Ottawa. The authors have no further disclosures or conflicts of interest to report.
- Issue published online: 13 JAN 2013
- Article first published online: 13 JAN 2013
- Manuscript Accepted: 14 JUL 2012
- Manuscript Revised: 13 JUL 2012
- Manuscript Revised: 6 JUL 2012
- Manuscript Received: 8 MAY 2012
|acem12056-sup-0001-DataSupplementS1.pdf||application/PDF||20K||Data Supplement S1. Characteristics of patients not enrolled in the study during 835 visits.|
|acem12056-sup-0002-DataSupplementS2.pdf||application/PDF||21K||Data Supplement S2. Independent predictors of serious adverse events as determined by stepwise logistic regression analysis excluding the variable NT-proBNP.|
|acem12056-sup-0003-DataSupplementS3.pdf||application/PDF||23K||Data Supplement S3. Validation of classification performance of the SAE score in HF using bootstrapping.|
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