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Which Ones Should We Measure for Risk Prediction in Our Practice?

Arch Intern Med. 2006;166:2428-2430.

	Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

In recent years, numerous new biomarkers have been proposed for risk stratification in coronary heart disease (CHD), as opportunistic researchers have capitalized on stored blood samples from large clinical trials and registries to perform rapid and relatively inexpensive biomarker screening. A number of biomarkers reflecting distinct pathophysiological processes, including C-reactive protein (CRP), B-type natriuretic peptide (BNP), and markers of renal function such as creatinine clearance (CrCl) and cystatin C, have been shown to provide independent prognostic value to traditional risk predictors in multivariable analyses. While the demonstrations of such associations are necessary first steps, they do not establish the full clinical utility of a biomarker, which is a more demanding process that requires validation in multiple cohorts, a reliable and cost-effective assay, and clear demonstration of incremental prognostic value over traditional risk models. An important but often overlooked consideration is that the biomarker must offer tangible value to the end . . . [Full Text of this Article]

AUTHOR INFORMATION
James A. de Lemos, MD

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