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Prediction of intraoperative acquired pressure injury in elderly cardiac surgery patients via machine learning: model development with the MIMIC-IV and external validation

Crossref DOI link: https://doi.org/10.1186/s12911-025-03325-9

Published Online: 2025-12-29

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

Authors

Cheng, Yi

Li, Leqi

Zhang, Jiang

Zhou, Jifang

Chen, Lihai

Shi, Hongwei

Wang, Yun

He, Wei

Yang, Fan
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Text and Data Mining valid from 2025-12-29

Version of Record valid from 2026-01-30
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Article History

Received: 13 May 2025

Accepted: 16 December 2025

First Online: 29 December 2025

Declarations

:

: All procedures were performed in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments. The use of the MIMIC-IV database was approved by the Institutional Review Boards (IRBs) of the Massachusetts Institute of Technology (MIT) and Beth Israel Deaconess Medical Center (BIDMC) (Certification No: 47,937,607). The external validation study using patient data from Nanjing First Hospital was approved by the Institutional Review Board of Nanjing First Hospital (Approval Number: KY20250922-KS-03). Because all patient information was de-identified, the requirement for individual informed consent was waived by the IRBs in accordance with national regulations.

: Not applicable.

: The authors declare no competing interests.

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