Group-based trajectory modeling of anion gap and mortality in patients with sepsis: a retrospective analysis of the MIMIC-IV database
Trajectory groups with higher AG levels were associated with an increased risk for all-cause mortality. Identifying distinct AG trajectories may help identify patient subgroups with varying risks of mortality, providing valuable implications for both research and clinical practice.
Authors
- Hengliang Zhang (ORCID: https://orcid.org/0000-0002-6439-5502)
- Xulin Lin
- Duo Yang (ORCID: https://orcid.org/0000-0003-2582-1756)
- Longsheng Zhang (ORCID: https://orcid.org/0000-0003-2894-0400)
- Jin‐Yu Hu (ORCID: https://orcid.org/0000-0003-2562-7304)
- Yingying Lin (ORCID: https://orcid.org/0000-0001-5042-3237)
- Zhiliang Huang
- Renzhe Lin
- Shujun Ye (ORCID: https://orcid.org/0009-0007-0936-2517)
Institutions
- Guangdong Medical College (CN)
- Wenzhou Medical University (CN)
- Deyang Stomatological Hospital (CN)
- Dongguan People’s Hospital (CN)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s40001-025-03146-6
- Citations
- 1
- Primary Topic
- Renal function and acid-base balance
- Type
- article
- Field-Weighted Citation Impact
- 1.43