Enhanced prediction of atrial fibrillation risk using proteomic markers: a comparative analysis with clinical and polygenic risk scores
A protein-based risk score, particularly incorporating NT-proBNP, offers superior predictive value for AF risk over traditional clinical and polygenic risk scores, highlighting the potential for proteomic data in AF risk stratification.
Authors
- Xiaoqin Gan (ORCID: https://orcid.org/0009-0002-1906-666X)
- Xianhui Qin (ORCID: https://orcid.org/0000-0001-7812-7982)
- Ziliang Ye (ORCID: https://orcid.org/0000-0002-8626-4925)
- Mengyi Liu (ORCID: https://orcid.org/0000-0003-2657-7767)
- Panpan He (ORCID: https://orcid.org/0000-0003-4238-5837)
- Sisi Yang (ORCID: https://orcid.org/0009-0008-2696-9107)
- Yuanyuan Zhang (ORCID: https://orcid.org/0000-0001-6521-6556)
- Yanjun Zhang (ORCID: https://orcid.org/0000-0002-9702-1128)
- Chun Zhou (ORCID: https://orcid.org/0000-0002-9091-3342)
Institutions
- Southern Medical University (CN)
Publication Details
- Journal
- Heart
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1136/heartjnl-2024-324274
- Citations
- 9
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.62
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China