Plasma proteomics improves prediction of coronary plaque progression
Integrating proteomics with traditional risk factors enhances the prediction of accelerated plaque progression and high-risk plaque development, potentially improving risk stratification and treatment decisions without the need for repeated CCTAs.
Authors
- R. Nils Planken (ORCID: https://orcid.org/0000-0003-3940-4670)
- G. Kees Hovingh (ORCID: https://orcid.org/0000-0002-8145-1676)
- Jordan M Kraaijenhof (ORCID: https://orcid.org/0000-0001-7566-6403)
- Shirin Ibrahim (ORCID: https://orcid.org/0000-0001-9944-299X)
- Michiel J. Bom (ORCID: https://orcid.org/0000-0002-6326-7437)
- Émilie Gaillard (ORCID: https://orcid.org/0000-0002-7097-3399)
- Paul Knaapen (ORCID: https://orcid.org/0000-0001-8038-7898)
- Nick S. Nurmohamed (ORCID: https://orcid.org/0000-0001-9045-6009)
- Ibrahim Danad (ORCID: https://orcid.org/0000-0002-3140-1320)
- Erik S.G. Stroes (ORCID: https://orcid.org/0000-0001-9555-6260)
- Cheyenne Y Y Beverloo (ORCID: https://orcid.org/0009-0009-2160-5555)
Institutions
- Radboud University Nijmegen (NL)
- University Medical Center (US)
- Radboud University Medical Center (NL)
- Amsterdam University Medical Centers (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Heart Journal - Cardiovascular Imaging
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1093/ehjci/jeae313
- Citations
- 1
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.40