Metabolomics data improve 10-year cardiovascular risk prediction with the SCORE2 algorithm for the general population without cardiovascular disease or diabetes
The integration of metabolomic biomarkers into the SCORE2 model markedly improves the prediction of 10-year cardiovascular risk. With recent advancements in reducing costs and standardizing processes, NMR metabolomics holds considerable promise for implementation in clinical practice.
Authors
- Ben Schöttker (ORCID: https://orcid.org/0000-0002-1217-4521)
- Bernd Holleczek (ORCID: https://orcid.org/0000-0001-8759-4371)
- Ruijie Xie (ORCID: https://orcid.org/0000-0002-1635-962X)
- Hermann Brenner (ORCID: https://orcid.org/0000-0002-6129-1572)
- Sha Sha
- Lei Peng (ORCID: https://orcid.org/0000-0001-8754-020X)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Krebsregister Saarland (DE)
- Heidelberg University (US)
Publication Details
- Journal
- European Journal of Preventive Cardiology
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1093/eurjpc/zwaf254
- Citations
- 6
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.84