A multimodal nomogram for predicting disease progression in diabetic patients with coronary artery disease: integrating clinical, ultrasound, and angiographic data
We developed and validated a practical nomogram integrating clinical, biochemical, and imaging data to predict short-term disease progression in diabetic patients with CAD. This tool may assist clinicians in early risk stratification and individualized management planning.
Authors
- Jing Chen (ORCID: https://orcid.org/0000-0001-5814-5075)
- Yue Ling (ORCID: https://orcid.org/0009-0008-5972-1191)
- Mingmin Yan
- YE Chang-kong
- Jin Liu (ORCID: https://orcid.org/0000-0003-0734-5266)
- Ruonan Wang (ORCID: https://orcid.org/0000-0002-7574-1810)
- Shuang Liu (ORCID: https://orcid.org/0000-0001-5775-4944)
- San‐Ging Shu
Institutions
- Southern University of Science and Technology (CN)
- Fourth Affiliated Hospital of China Medical University (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Shenzhen Second People's Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1186/s12872-025-04737-1
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00