External Validation of the American Heart Association PREVENT Cardiovascular Disease Risk Equations
In this prognostic study of the PREVENT equations, PREVENT risk estimates demonstrated excellent discrimination and only modest discrepancies in calibration. These findings provided evidence supporting utilization of the PREVENT equations for application in the intended population as suggested by the American Heart Association.
Authors
- Alexandra R. Brown (ORCID: https://orcid.org/0000-0002-1594-3269)
- Trenton D. Colburn (ORCID: https://orcid.org/0000-0002-1346-8695)
- Hisham Hakeem (ORCID: https://orcid.org/0000-0003-2645-6228)
- Carl J. Ade (ORCID: https://orcid.org/0000-0002-1837-2342)
- Britton Scheuermann
- C. Chow
Institutions
- Kansas State University (US)
- Stormont Vail Health (US)
- The University of Kansas Cancer Center (US)
- Cancer Research Center (US)
- University of Kansas Medical Center (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.38311
- Citations
- 36
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 14.47