An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors
In this study, we developed a machine learning-based predictive model for DGF following pediatric kidney transplantation, termed DGF-RS, which integrates both donor and recipient characteristics. The model demonstrated excellent predictive accuracy and provides essential guidance for clinical decision-making. These findings contribute to our understanding of the pathogenesis of DGF.
Authors
- Hongyan Yan (ORCID: https://orcid.org/0000-0001-5899-2426)
- Xiaoyou Liu (ORCID: https://orcid.org/0000-0002-4871-1165)
- Liuyang Li (ORCID: https://orcid.org/0000-0001-6004-9437)
- Hua Chen (ORCID: https://orcid.org/0000-0001-7889-8023)
- Song Zhou (ORCID: https://orcid.org/0000-0001-6425-3961)
- Siqiang Yang
- Guorong Liao
- Zijian Li (ORCID: https://orcid.org/0000-0003-4435-4663)
- Ding Liu (ORCID: https://orcid.org/0000-0003-2269-0375)
- Runtao Feng
- Shichao Li (ORCID: https://orcid.org/0000-0003-3928-2132)
- Yuzhu Li (ORCID: https://orcid.org/0000-0001-9959-079X)
- Min Li (ORCID: https://orcid.org/0000-0003-4026-0440)
- Jun Liao
- Yongguang Liu (ORCID: https://orcid.org/0000-0001-9551-4335)
- Jianmin Hu (ORCID: https://orcid.org/0000-0002-9804-9747)
- Weiwei Jiang (ORCID: https://orcid.org/0000-0001-8386-4274)
- Jianrong Chen (ORCID: https://orcid.org/0000-0001-9379-6033)
- Jian-An Chen
- Zefeng Guo
- Ying Guo (ORCID: https://orcid.org/0000-0002-0606-9039)
- Guang-Li Zhong
- Wen-Xiang Feng
- Lipei Fan
- Chao-Wei Chen
- Jia-Dong Zeng
Institutions
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Zhujiang Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1186/s12916-024-03624-4
- Citations
- 4
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.03
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province