Longitudinal SOFA score trajectories and risk stratification in ICU patients with Staphylococcus aureus bloodstream infection: insights from group-based trajectory modeling
Early ICU data can predict dynamic organ dysfunction trajectories in SA-BSI patients. Trajectory-based phenotyping, combined with interpretable machine learning, offers a clinically valuable framework for early risk stratification and individualized ICU management.
Authors
- Ruomeng Hu (ORCID: https://orcid.org/0009-0000-6714-2626)
- Haoliang Qian (ORCID: https://orcid.org/0000-0003-4200-9479)
- Qing Yu
- Li Zhong (ORCID: https://orcid.org/0000-0002-2006-4138)
- Shufang Zhang (ORCID: https://orcid.org/0000-0003-1842-1367)
- Yushi Fan
- Heyu Chen
- Xinyun Zhang
- Jiafei Yu
- Gensheng Zhang
- Hongwei Zhou
- Wei Cui
- Kai Zhang
Institutions
- Netherlands Heart Registration (NL)
- People's Hospital of Shiyan (CN)
- Advanced Micro Devices (United States) (US)
- Third People's Hospital of Huzhou (CN)
- Ministry of Education (BD)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University-University of Edinburgh Institute (CN)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3389/fcimb.2026.1756348
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Massachusetts Institute of Technology
- National Natural Science Foundation of China
- National Health Commission of the People's Republic of China
- Natural Science Foundation of Zhejiang Province