Development and validation of a risk prediction model for acute kidney injury in coronary artery disease
This study introduced a refined AKI risk prediction model for CAD patients. This model showed adaptability to subgroups and held the potential for early AKI alerts and personalized interventions, thereby enhancing patient care.
Authors
- Duo Yang (ORCID: https://orcid.org/0000-0001-7956-3604)
- Hai Gao (ORCID: https://orcid.org/0009-0004-9036-8083)
- Chang Liu (ORCID: https://orcid.org/0000-0002-7867-6807)
- Ming Ye (ORCID: https://orcid.org/0000-0002-7080-0578)
Institutions
- Capital Medical University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Beijing Anzhen Hospital (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1186/s12872-024-04466-x
- Citations
- 3
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 4.29