Machine learning-selected inflammation biomarkers for stable coronary artery disease with intermediate coronary lesions: potential for long-term prognosis in a multicenter cohort study
Our validated nomogram was based on inflammation biomarkers and EHR data, demonstrating moderate discriminative ability to detect individuals at high risk of poor outcome among patients with SCAD and angiographically intermediate coronary stenosis.
Authors
- Shoupeng Duan (ORCID: https://orcid.org/0009-0008-5281-4619)
- Zongchao Zuo
- Siyang Li
- Jiajun Zhu (ORCID: https://orcid.org/0000-0001-6488-6419)
- Yi-Xiang Wang (ORCID: https://orcid.org/0000-0002-4021-4228)
- Qiong Xu
- Shuo Liu
Institutions
- Xinjiang Medical University (CN)
- Anhui Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- Wuhan University (CN)
- Hubei University of Arts and Science (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Renmin Hospital of Wuhan University (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-02-17
- DOI
- https://doi.org/10.3389/fphys.2026.1688153
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00