Early Prediction of Acute Kidney Injury Following Liver Transplantation: Development and Validation of a Clinical Risk Model
The proposed predictive model could promote the identification of high-risk LT recipients immediately following surgery, enabling clinicians to intervene early to mitigate the risk of developing AKI within 48 h postoperatively. This approach has the potential to improve patient prognosis by supporting timely and targeted management strategies.
Authors
- C.F Feng (ORCID: https://orcid.org/0009-0008-8793-4020)
- Wenyan Wu (ORCID: https://orcid.org/0000-0002-6954-3164)
- Ziheng Qi (ORCID: https://orcid.org/0000-0002-5494-2613)
- Haolin Yin (ORCID: https://orcid.org/0000-0002-2063-8605)
- W Zhang
- Xing Gao (ORCID: https://orcid.org/0000-0002-4118-3152)
- Huan Zhang
- Bo Yang (ORCID: https://orcid.org/0009-0000-4461-2736)
- Caiyun Zhang (ORCID: https://orcid.org/0000-0002-7035-2779)
- Shichao Sun
- Haotian Wu (ORCID: https://orcid.org/0009-0004-6068-2960)
- Yuzhi Wei (ORCID: https://orcid.org/0000-0003-2567-7985)
Institutions
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Wenzhou Medical University (CN)
- Central People's Hospital of Zhanjiang (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- Journal of Clinical and Experimental Hepatology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1016/j.jceh.2025.103179
- Citations
- 3
- Primary Topic
- Liver Disease and Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 3.97
Funders
- Tsinghua University