Atherosclerotic cardiovascular disease risk based on SCORE algorithms and reclassification based on preclinical atherosclerotic plaques
The results demonstrate that the NBP which is easy to detect is an independent predictor of ASCVD events and can be used to reclassify individuals into a different risk class by improving on the predicted SCORE risk.
Authors
- Christiana A. Demetriou (ORCID: https://orcid.org/0000-0003-4002-2880)
- Costantinos Avraamides
- Despo Ierodiakonou (ORCID: https://orcid.org/0000-0002-7862-2016)
- Theodosis Tyllis
- Efthyvoulos Kyriacou (ORCID: https://orcid.org/0000-0002-4589-519X)
- Andrew Nicolaides (ORCID: https://orcid.org/0000-0003-3912-7394)
- Dawn Bond
- Richard Michael Martin (ORCID: https://orcid.org/0000-0002-7992-7719)
- Andrie G. Panayiotou (ORCID: https://orcid.org/0000-0002-6085-568X)
- Maura Griffin (ORCID: https://orcid.org/0000-0002-5223-2239)
- Niki Georgiou
Institutions
- Cyprus University of Technology (CY)
- University of Nicosia (CY)
- University of Bristol (GB)
- Cyprus Institute of Neurology and Genetics (CY)
Publication Details
- Journal
- International Angiology
- Published
- 2024-12-01
- DOI
- https://doi.org/10.23736/s0392-9590.24.05248-9
- Citations
- 5
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 2.86