Development and validation of an interpretable mortality risk prediction model for children with VA-ECMO-related acute kidney injury
Medical Journal of Chinese People′s Liberation ArmyVol. 51, Issue 1, Pages: 13-23(2026)
Clinical Research|更新时间:2026-03-04
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Development and validation of an interpretable mortality risk prediction model for children with VA-ECMO-related acute kidney injury
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“Based on the Chinese Pediatric Extracorporeal Life Support Organization Database, experts constructed and validated a logistic regression prediction model based on 7 key features, which can effectively evaluate the mortality risk of VA-EMO related AKI children and provide strong support for early clinical intervention and personalized decision-making.”
作者机构:
1.解放军总医院第六医学中心心血管病医学部,北京 100853
2.解放军医学院研究生院,北京 100853
3.解放军总医院第七医学中心儿科医学部,北京 100700
作者简介:
E-mail: zhangran@plagh.org
基金信息:
the National Key Research and Development Program of China(2021YFC2701700;2021YFC2701703);the National Natural Science Foundation of China(82171857)
Shi Shu-Jin,Yan Hao-Jie,Shao Jun-Jie,et al.Development and validation of an interpretable mortality risk prediction model for children with VA-ECMO-related acute kidney injury[J].Medical Journal of Chinese People′s Liberation Army,2026,51(01):13-23.
Shi Shu-Jin,Yan Hao-Jie,Shao Jun-Jie,et al.Development and validation of an interpretable mortality risk prediction model for children with VA-ECMO-related acute kidney injury[J].Medical Journal of Chinese People′s Liberation Army,2026,51(01):13-23. DOI: 10.11855/j.issn.0577-7402.1681.2025.1202.
Development and validation of an interpretable mortality risk prediction model for children with VA-ECMO-related acute kidney injury增强出版
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