Lactate trajectories and outcomes in patients with sepsis in the intensive care unit: group-based trajectory modeling
In this study, different subtypes of sepsis were successfully identified by analyzing lactate trajectories. Combined with the dynamic changes in lactate levels, the GBTM model was used to stratify patients according to their risk of sepsis. This model provides a theoretical basis for clinicians to evaluate the prognosis of patients using the lactate change trajectory.
Authors
- Wei Yu (ORCID: https://orcid.org/0000-0002-7453-422X)
- Junling Leng
- Jiaqi Li (ORCID: https://orcid.org/0009-0009-1607-3638)
- Xiaojie Zhang (ORCID: https://orcid.org/0000-0001-5615-0137)
- Zixuan Wang (ORCID: https://orcid.org/0009-0007-8289-1538)
- Jinqiang Zhuang
- Jing Wang (ORCID: https://orcid.org/0000-0002-5900-9128)
Institutions
- Yangzhou University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3389/fpubh.2025.1610220
- Citations
- 3
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06
Funders
- Yangzhou University