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Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development

Crossref DOI link: https://doi.org/10.1186/s12882-026-05080-z

Published Online: 2026-06-02

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

Authors

Chen, Liandong

Fu, Bin
Funding

Funding for this research was provided by:

Youth Fund Project of Humanities and Social Sciences Research of Ministry of Education in 2024 (24YJCZH448)

Traditional Chinese Medicine Science and Technology Plan of Zhejiang Province (2026ZF42)

The Second Batch of Provincial-Level Teaching Reform Project for Postgraduates in Zhejiang Province During the 14th Five-Year Plan Period (JGCG2024254)
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Text and Data Mining valid from 2026-06-02

Accepted Manuscript valid from 2026-06-02
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Article History

Received: 18 January 2026

Accepted: 15 May 2026

First Online: 2 June 2026

Declarations

:

: The MlMIC-IV database was approved by the Massachusetts Institute of Technology (Cambridge, MA) and Beth Israel Deaconess Medical Center (Boston, MA), and consent was obtained for the collection of original data. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Therefore, ethical approval and the need for informed consent were waived for this study.

: Not applicable.

: The authors declare no competing interests.

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