Risk Prediction of Postoperative Renal Dysfunction Based on Preoperative Lipid Profiles in Renal Transplant Recipients: A Retrospective Cohort Study
Our study developed a risk prediction model to identify RTRs at high risk of renal dysfunction based on preoperative lipid profiles, which is crucial for optimizing patient management and improving the prognosis.
Authors
- Lin Zhuo (ORCID: https://orcid.org/0000-0001-9188-702X)
- Ling Liu (ORCID: https://orcid.org/0009-0007-6355-9660)
- Rongrong Li (ORCID: https://orcid.org/0000-0002-6737-9890)
- Sai Zhang (ORCID: https://orcid.org/0000-0002-0866-4739)
- Hong Zhang (ORCID: https://orcid.org/0000-0003-4835-5380)
- Rong-Hua Li (ORCID: https://orcid.org/0000-0001-8658-6599)
- Ling Tan (ORCID: https://orcid.org/0000-0002-8779-0169)
- Haoxiang Zhang (ORCID: https://orcid.org/0009-0007-5874-4570)
Institutions
- Central South University (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- Risk Management and Healthcare Policy
- Published
- 2025-08-01
- DOI
- https://doi.org/10.2147/rmhp.s527703
- Citations
- 1
- Primary Topic
- Renal and Vascular Pathologies
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hunan Province