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Prediction of coronary artery disease using urinary proteomics.
Wei, Dongmei; Melgarejo, Jesus D; Van Aelst, Lucas; Vanassche, Thomas; Verhamme, Peter; Janssens, Stefan; Peter, Karlheinz; Zhang, Zhen-Yu.
Afiliação
  • Wei D; Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Campus Sint Rafaël, Kapucijnenvoer 7, Box 7001, BE-3000 Leuven, Belgium.
  • Melgarejo JD; Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Campus Sint Rafaël, Kapucijnenvoer 7, Box 7001, BE-3000 Leuven, Belgium.
  • Van Aelst L; Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium.
  • Vanassche T; Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium.
  • Verhamme P; Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium.
  • Janssens S; Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium.
  • Peter K; Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne VIC 3004, Australia.
  • Zhang ZY; Department of Cardiology, The Alfred Hospital, 55 Commercial Rd, Melbourne VIC 3004, Australia.
Eur J Prev Cardiol ; 30(14): 1537-1546, 2023 10 10.
Article em En | MEDLINE | ID: mdl-36943304
A biomarker that can predict coronary artery disease (CAD) is urgently in need. We developed and validated a urinary proteomic classifier for the prediction of CAD. The proteomic classifier involved in atherosclerosis improved the risk reclassification on top of the clinical risk score.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Prev Cardiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur J Prev Cardiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica