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Comparing Cardiovascular Risk Prediction ScoresComparing Cardiovascular Risk Prediction Scores

Paul M Ridker, MD, MPH; and Nancy R. Cook, ScD
[+] Article, Author, and Disclosure Information

From Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M14-2820.

Requests for Single Reprints: Paul M Ridker, MD, MPH, Center for Cardiovascular Disease Prevention, Brigham & Women's Hospital, 900 Commonwealth Avenue, Boston, MA 02215; e-mail, pridker@partners.org.

Current Author Addresses: Drs. Ridker and Cook: Center for Cardiovascular Disease Prevention, Divisions of Preventive Medicine and Cardiology, Brigham & Women's Hospital, 900 Commonwealth Avenue, Boston, MA 02215.


Ann Intern Med. 2015;162(4):313-314. doi:10.7326/M14-2820
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In this issue, DeFilippis and colleagues examined several prominent risk prediction tools for cardiovascular disease in which they found cases of overestimation and underestimation. The editorialists believe that the study serves as a crucial test of external validation and demands the attention of both clinicians and policymakers.

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Figure.

Percentage of discordance between predicted and observed cardiovascular event rates in MESA using 5 risk prediction algorithms.

Bars indicate standard errors. ACC = American College of Cardiology; AHA = American Heart Association; ASCVD = atherosclerotic cardiovascular disease; ATPIII = Adult Treatment Panel III; CHD = coronary heart disease; CVD = cardiovascular disease; FRS = Framingham risk score; MESA = Multi-Ethnic Study of Atherosclerosis; RRS = Reynolds Risk Score.

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