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心血管风险评估的多模式策略:在2个基于人口的队列中的表现

James A de Lemos1, Colby R Ayers2, Benjamin D Levine2

  • 1From Departments of Medicine (J.A.d.L., B.L., J.P.B., D.K.M., M.H.D., A.K.) and Clinical Sciences (C.R.A., J.D.B., D.K.M.), University of Texas Southwestern Medical Center, Dallas; Institute for Exercise and Environmental Medicine, Texas Health Presbyterian, Dallas (B.L.); Inova Heart and Vascular Institute, Fall Church, VA (C.R.d.); Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (T.J.W.); Departments of Medicine and Radiological Sciences, Wake Forest Health Sciences, Winston-Salem, NC (W.G.H.); Department of Medicine, University of Maryland School of Medicine, Baltimore (S.L.S.); The Johns Hopkins University School of Medicine, Baltimore, MD (P.O.); Los Angeles Biomedical Research Institute, CA (M.B.); Departments of Preventive Medicine and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (P.G.); and Baylor College of Medicine, Houston, TX (G.M.B.). james.delemos@utsouthwestern.edu.

Circulation
|April 1, 2017
PubMed
概括

一项新的多模式测试策略显著改善了未患有心血管疾病的成年人心血管疾病风险评估. 结合生物标志物可以提高全球性心血管疾病和动脉样性心血管疾病 (ASCVD) 的预测.

关键词:
一种C反应蛋白NT-proBNP 其他生物标志物冠状动脉中的风险预测热素T

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