Nomogram Model to Predict Acute Kidney Injury in Hospitalized Patients with Heart Failure
A nomogram prediction model based on pneumonia, age, D-dimer, and albumin can help clinicians predict the risk of AKI in HF patients with moderate discriminability.
Authors
- Kangyu Chen (ORCID: https://orcid.org/0000-0002-7095-6767)
- Hao Su (ORCID: https://orcid.org/0000-0002-6620-0801)
- Fuyuan Liu (ORCID: https://orcid.org/0000-0001-7346-789X)
- Ji Yan (ORCID: https://orcid.org/0000-0002-2558-7210)
- Ruochen Xu (ORCID: https://orcid.org/0009-0008-5750-8848)
- Qi Wang (ORCID: https://orcid.org/0000-0003-0962-4218)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2024-08-20
- DOI
- https://doi.org/10.31083/j.rcm2508293
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00