Improved cardiovascular risk prediction using targeted plasma proteomics in primary prevention

• Published in: European heart journal Vol. 41; no. 41; pp. 3998 - 4007
• Main Authors: Hoogeveen, Renate M, Pereira, João P Belo, Nurmohamed, Nick S, Zampoleri, Veronica, Bom, Michiel J, Baragetti, Andrea, Boekholdt, S Matthijs, Knaapen, Paul, Khaw, Kay-Tee, Wareham, Nicholas J, Groen, Albert K, Catapano, Alberico L, Koenig, Wolfgang, Levin, Evgeni, Stroes, Erik S G
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.11.2020
• Subjects: Cardiovascular Diseases - prevention & control; Clinical Research; Editor's Choice; Heart Disease Risk Factors; Humans; Primary Prevention; Prospective Studies; Proteomics; Risk Assessment; Risk Factors; Targeted proteomics; Cardiovascular event risk; Clinical risk score; Prediction; Machine learning; Proteomics

Abstract Aims In the era of personalized medicine, it is of utmost importance to be able to identify subjects at the highest cardiovascular (CV) risk. To date, single biomarkers have failed to markedly improve the estimation of CV risk. Using novel technology, simultaneous assessment of large number...