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Development and validation of a machine learning model to predict the need for renal replacement therapy in alcoholic cirrhosis complicated by severe acute kidney injury

Crossref DOI link: https://doi.org/10.1186/s40001-026-04397-7

Published Online: 2026-04-13

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sun, Xu https://orcid.org/0000-0002-6102-6293
Lu, Jianhong https://orcid.org/0000-0003-0120-7428
Fu, Minmin

Zhong, Lei https://orcid.org/0000-0002-0208-1823
Li, Yuan
Funding

Funding for this research was provided by:

Huzhou Municipal Science and Technology Bureau (2024GY35)

Program for Zhejiang Medical Rising Star Training (rsk2025019)

Distinguished Young Health Talent of Nan Taihu (rsk2025008)

Medical and Health Research Project of Zhejiang Province (2025KY1546)
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Text and Data Mining valid from 2026-04-13

Version of Record valid from 2026-05-25
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Article History

Received: 1 October 2025

Accepted: 1 April 2026

First Online: 13 April 2026

Declarations

:

: The database was approved by the Institutional Review Boards of Beth Israel Deaconess Medical Center and the Massachusetts Institute of Technology, who granted a waiver of informed consent and approved the data sharing initiative, and one author of the study was granted access to the database.

: The authors declare no competing interests.

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