Clinical Utility of Multiple Biomarker Panels for Cardiovascular Disease Risk Prediction View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-04

AUTHORS

Maria Hughes, Frank Kee, Veikko Salomaa

ABSTRACT

Current cardiovascular risk prediction is imprecise, with clinical treatment aimed at those with high risk of disease while neglecting those at intermediate risk who might benefit from early treatment. Biomarkers can capture features of subclinical atherosclerosis, but although many studies have shown their association with cardiovascular risk, whether they can improve the performance of prediction algorithms is contested. The combined use of multiple biomarkers offers promise for refining risk assessment by adding incremental information from different pathophysiologic pathways. The utility of certain combinations of multiple biomarkers has been shown to have greatest effect in selected patient subgroups (ie, middle-aged men and those at intermediate risk). Carefully designed randomized controlled trials are needed to understand the clinical implications of risk stratification using multiple biomarker panels. More... »

PAGES

165-173

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12170-010-0153-1

DOI

http://dx.doi.org/10.1007/s12170-010-0153-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036312781


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