CBS 2019
CBSMD教育中心
English

推荐文献

科研文章

荐读文献

Non-cardiac surgery in patients with coronary artery disease: risk evaluation and periprocedural management Major trials in coronary intervention from 2018 When high‐volume PCI operators in high‐volume hospitals move to lower volume hospitals—Do they still maintain high volume and quality of outcomes? Management of two major complications in the cardiac catheterisation laboratory: the no-reflow phenomenon and coronary perforations Effects of dapagliflozin on major adverse kidney and cardiovascular events in patients with diabetic and non-diabetic chronic kidney disease: a prespecified analysis from the DAPA-CKD trial Long-Term Outcomes of Biodegradable Versus Second-Generation Durable Polymer Drug-Eluting Stent Implantations for Myocardial Infarction Optimal Stenting Technique for Complex Coronary Lesions Intracoronary Imaging-Guided Pre-Dilation, Stent Sizing, and Post-Dilation Development and validation of a simple risk score to predict 30-day readmission after percutaneous coronary intervention in a cohort of medicare patients 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines Advances in Coronary No-Reflow Phenomenon-a Contemporary Review

Clinical Trial2015 Oct 13;66(15):1643-53.

JOURNAL:J Am Coll Cardiol. Article Link

10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study)

McClelland RL, Jorgensen NW, Budoff M et al. Keywords: atherosclerosis; coronary disease; epidemiology; risk prediction

ABSTRACT


BACKGROUNDSeveral studies have demonstrated the tremendous potential of using coronary artery calcium (CAC) in addition to traditional risk factors for coronary heart disease (CHD) risk prediction. However, to date, no risk score incorporating CAC has been developed.


OBJECTIVES - The goal of this study was to derive and validate a novel risk score to estimate 10-year CHD risk using CAC and traditional risk factors.

METHODS - Algorithm development was conducted in the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective community-based cohort study of 6,814 participants age 45 to 84 years, who were free of clinical heart disease at baseline and followed for 10 years. MESA is sex balanced and included 39% non-Hispanic whites, 12% Chinese Americans, 28% African Americans, and 22% Hispanic Americans. External validation was conducted in the HNR (Heinz Nixdorf Recall Study) and the DHS (Dallas Heart Study).

RESULTS - Inclusion of CAC in the MESA risk score offered significant improvements in risk prediction (C-statistic 0.80 vs. 0.75; p < 0.0001). External validation in both the HNR and DHS studies provided evidence of very good discrimination and calibration. Harrell's C-statistic was 0.779 in HNR and 0.816 in DHS. Additionally, the difference in estimated 10-year risk between events and nonevents was approximately 8% to 9%, indicating excellent discrimination. Mean calibration, or calibration-in-the-large, was excellent for both studies, with average predicted 10-year risk within one-half of a percent of the observed event rate.

CONCLUSIONS - An accurate estimate of 10-year CHD risk can be obtained using traditional risk factors and CAC. The MESA risk score, which is available online on the MESA web site for easy use, can be used to aid clinicians when communicating risk to patients and when determining risk-based treatment strategies.

Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.