Assessing the Incremental Role of Novel and Emerging Risk Factors

被引：35

作者：

Cook N.R. ^{[1
,2
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机构：

[1] Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215

[2] Department of Epidemiology, Harvard School of Public Health, Boston, MA

来源：

Current Cardiovascular Risk Reports | 2010年 / 4卷 / 2期

关键词：

Calibration; Discrimination; Model accuracy; Prediction; Risk reclassification;

D O I：

10.1007/s12170-010-0084-x

中图分类号：

学科分类号：

摘要：

Many novel and emerging risk factors exhibit a significant association with cardiovascular disease, but few have been found to improve risk prediction. Statistical criteria used to evaluate such models and markers have largely relied on the receiver operating characteristic curve, which is an insensitive measure of improvement. Recently, new methods have been developed based on risk reclassification or changes in risk strata following use of a new marker or model. Associated measures based on both calibration and discrimination have been proposed. This review describes previous methods used to evaluate models as well as the newly developed methods to evaluate clinical utility. © 2010 Springer Science+Business Media, LLC.

引用

页码：112 / 119

页数：7

共 41 条

[1]

Wang T.J., Gona P., Larson M.G., Et al., Multiple biomarkers for the prediction of first major cardiovascular events and death, N Engl J Med, 355, pp. 2631-2639, (2006)

[2]

Kannel W.B., Dawber T.R., Kagan A., Et al., Factors of risk in the development of coronary heart disease - six year follow-up experience: the Framingham Study, Ann Intern Med, 55, pp. 33-50, (1961)

[3]

Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III), Jama, 285, pp. 2486-2497, (2001)

[4]

Ware J.H., The limitations of risk factors as prognostic tools, N Engl J Med, 355, pp. 2615-2617, (2006)

[5]

Fowkes F.G., Murray G.D., Butcher I., Et al., Ankle brachial index combined with Framingham risk score to predict cardiovascular events and mortality: a meta-analysis, Jama, 300, pp. 197-208, (2008)

[6]

Dunlay S.M., Gerber Y., Weston S.A., Et al., Prognostic value of biomarkers in heart failure: application of novel methods in the community, Circ Heart Fail, 2, pp. 393-400, (2009)

[7]

Ingelsson E., Schaefer E.J., Contois J.H., Et al., Clinical utility of different lipid measures for prediction of coronary heart disease in men and women, Jama, 298, pp. 776-785, (2007)

[8]

Melander O., Newton-Cheh C., Almgren P., Et al., Novel and conventional biomarkers for prediction of incident cardiovascular events in the community, Jama, 302, pp. 49-57, (2009)

[9]

Ridker P.M., Buring J.E., Rifai N., Cook N.R., Development and validation of improved algorithms for the assessment of global cardiovascular risk in women, Jama, 297, pp. 611-619, (2007)

[10]

Ridker P.M., Paynter N.P., Rifai N., Et al., C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men, Circulation, 118, pp. 2243-2251, (2008)

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