Decoding dynamic lipase trajectory patterns and in-hospital mortality in acute pancreatitis: insights from machine learning in intensive care units
Dynamic lipase trajectory patterns in AP patients demonstrate distinct phenotypes with significant prognostic value for in-hospital mortality. These findings suggest that monitoring lipase trajectories may enhance risk stratification and guide clinical management in AP patients.
Authors
- Xiaodong Zhu (ORCID: https://orcid.org/0000-0002-6535-4606)
- Yingyi Li (ORCID: https://orcid.org/0000-0003-4272-7219)
- Zicheng Huang (ORCID: https://orcid.org/0000-0003-3266-3653)
- Yisen Huang (ORCID: https://orcid.org/0000-0002-1307-8187)
- Qilin Yang (ORCID: https://orcid.org/0000-0002-9870-7017)
- Xiaoqiang Liu (ORCID: https://orcid.org/0000-0002-6150-2296)
- Chanchan Lin (ORCID: https://orcid.org/0009-0003-0988-245X)
Institutions
- Fujian Medical University (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1186/s40001-025-03299-4
- Primary Topic
- Pancreatitis Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- General Hospital of People’s Liberation Army
- Fujian Medical University