Inflammation Biomarker-Driven Vertical Visualization Model for Predicting Long-Term Prognosis in Unstable Angina Pectoris Patients with Angiographically Intermediate Coronary Lesions
The developed preoperative prognostic model visually illustrates the association among inflammation, blood glucose level, established risk factors, and long-term MACCEs in UAP patients with intermediate coronary lesions.
Authors
- Shoupeng Duan (ORCID: https://orcid.org/0009-0008-5281-4619)
- Jinjun Liu
- Wuping Tan (ORCID: https://orcid.org/0000-0003-0454-1632)
- Xuemin Hu
- Jian Wang (ORCID: https://orcid.org/0000-0002-5335-8845)
- Jun Wang (ORCID: https://orcid.org/0000-0002-7863-0331)
- Hui Li (ORCID: https://orcid.org/0009-0007-4155-0868)
- Yijun Wang (ORCID: https://orcid.org/0009-0009-1051-1916)
- Fang Bian (ORCID: https://orcid.org/0000-0002-2938-4584)
- Bowen Zhou (ORCID: https://orcid.org/0000-0003-1062-9526)
- Zhuoya Yao (ORCID: https://orcid.org/0000-0002-4336-7713)
Institutions
- Sun Yat-sen University (CN)
- Bengbu Medical College (CN)
- Sichuan University (CN)
- Wuhan University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Key Laboratory of Guangdong Province (CN)
- Renmin Hospital of Wuhan University (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
- The Fifth People’s Hospital of Suzhou (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/jir.s497546
- Citations
- 8
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.92
Funders
- Anhui Provincial Department of Education