The atherogenic index of plasma predicts long-term outcomes in patients with severe coronary artery calcification undergoing rotational atherectomy: a machine learning-based cohort study
AIP was independently associated with adverse outcomes in patients with severe CAC undergoing RA. The integration of this low-cost, readily available biomarker into explainable machine learning frameworks offers a promising avenue for enhancing risk prediction models.
Authors
- Haozhong Sun
- Ziyang Ren (ORCID: https://orcid.org/0000-0003-0223-4073)
- Ben Hu (ORCID: https://orcid.org/0009-0009-1311-0253)
- Jiawei Wu (ORCID: https://orcid.org/0000-0003-0273-1686)
- Yuwei Wang (ORCID: https://orcid.org/0000-0001-5782-1107)
- Zihan Li (ORCID: https://orcid.org/0000-0002-0101-977X)
- Likun Ma (ORCID: https://orcid.org/0000-0003-3993-847X)
- Hao Hu (ORCID: https://orcid.org/0000-0002-9785-8059)
Institutions
- University of Science and Technology of China (CN)
- Anhui Medical University (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1186/s12933-025-03027-6
- Citations
- 1
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.36