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Systemic immune-inflammation (SII) index as a novel prognostic biomarker in critically ill patients with sepsis: analysis of the MIMIC-IV cohort and predictive modeling based on machine learning

Crossref DOI link: https://doi.org/10.1186/s12879-026-12703-1

Published Online: 2026-02-07

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

Authors

Zhang, Xudong

Xu, Yiquan

Lei, Yu

Tang, Miaomiao

Wang, Yanqing

Luo, Jianghui

Zhu, Shuying
Funding

Funding for this research was provided by:

2024 Sichuan Provincial Cadre Health Care Research Project (2024-805)
License Information

Text and Data Mining valid from 2026-02-07

Version of Record valid from 2026-03-11
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Article History

Received: 6 August 2025

Accepted: 22 January 2026

First Online: 7 February 2026

Declarations

:

: This study adhered to the Declaration of Helsinki. As MIMIC-IV contains anonymized data, patient consent was waived by Beth Israel Deaconess Medical Center (BIDMC), and no further ethical approval was required by the Ethics Committee at Hospital Clinic in Barcelona due to the dataset’s public availability.

: Not applicable.

: The authors declare no competing interests.

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